Apparently O -100
Prides O -100
Osteria O -100
had O -100
a O -100
rough O -100
summer O -100
as O -100
evidenced O -100
by O -100
the O -100
almost O -100
empty O -100
dining O -100
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at O -100
6 O -100
: O -100
30 O -100
on O -100
a O -100
Friday O -100
night O -100
. O -100
However O -100
new O -100
blood O -100
in O -100
the O -100
kitchen O -100
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visits O -100
. O -100
Waitstaff B-ASP Positive
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. O -100
By O -100
8 O -100
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. O -100
Perhaps O -100
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seating O -100
. O -100
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I O -100
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department O -100
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We O -100
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dough O -100
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burrata O -100
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prosciutto O -100
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lovely O -100
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Then O -100
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they O -100
don O -100
' O -100
t O -100
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. O -100
We O -100
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tagliatelle O -100
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a O -100
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, O -100
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grana O -100
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. O -100
Both O -100
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. O -100
We O -100
split O -100
a O -100
secondi O -100
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special O -100
Berkshire O -100
pork O -100
secreto O -100
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as O -100
a O -100
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pur O -100
é O -100
e O -100
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romanesco O -100
broccoli O -100
( O -100
incorrectly O -100
described O -100
as O -100
a O -100
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sauce O -100
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Some O -100
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Management O -100
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she O -100
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the O -100
tables O -100
a O -100
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. O -100
We O -100
ordered O -100
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apple O -100
dumpling O -100
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gelato O -100
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it O -100
was O -100
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quite O -100
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Portions O -100
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huge O -100
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I O -100
particularly O -100
like O -100
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I O -100
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. O -100
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you O -100
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someone O -100
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just O -100
a O -100
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you O -100
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Dining O -100
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40 O -100
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improvement O -100
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I O -100
personally O -100
don O -100
' O -100
t O -100
know O -100
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former O -100
glory O -100
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. O -100
Easy O -100
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Salem O -100
without O -100
the O -100
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on O -100
this O -100
month O -100
of O -100
October O -100
. O -100

Apparently O -100
Prides O -100
Osteria O -100
had O -100
a O -100
rough O -100
summer O -100
as O -100
evidenced O -100
by O -100
the O -100
almost O -100
empty O -100
dining O -100
room O -100
at O -100
6 O -100
: O -100
30 O -100
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a O -100
Friday O -100
night O -100
. O -100
However O -100
new O -100
blood O -100
in O -100
the O -100
kitchen O -100
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have O -100
revitalized O -100
the O -100
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Waitstaff B-ASP -100
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. O -100
By O -100
8 O -100
pm O -100
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so O -100
when O -100
we O -100
left O -100
the O -100
bar O -100
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dining B-ASP Positive
room I-ASP Positive
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much O -100
more O -100
lively O -100
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it O -100
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. O -100
Perhaps O -100
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residents O -100
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a O -100
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seating O -100
. O -100
After O -100
reading O -100
the O -100
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I O -100
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a O -100
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over O -100
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department O -100
. O -100
We O -100
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fried O -100
dough O -100
, O -100
burrata O -100
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prosciutto O -100
which O -100
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all O -100
lovely O -100
. O -100
Then O -100
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they O -100
don O -100
' O -100
t O -100
offer O -100
half O -100
portions O -100
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pasta O -100
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each O -100
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the O -100
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them O -100
. O -100
We O -100
chose O -100
the O -100
tagliatelle O -100
bolognese O -100
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a O -100
four O -100
cheese O -100
filled O -100
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a O -100
creamy O -100
sauce O -100
with O -100
bacon O -100
, O -100
asparagus O -100
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grana O -100
frita O -100
. O -100
Both O -100
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very O -100
good O -100
. O -100
We O -100
split O -100
a O -100
secondi O -100
which O -100
was O -100
the O -100
special O -100
Berkshire O -100
pork O -100
secreto O -100
, O -100
which O -100
was O -100
described O -100
as O -100
a O -100
pork O -100
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steak O -100
with O -100
garlic O -100
potato O -100
pur O -100
é O -100
e O -100
and O -100
romanesco O -100
broccoli O -100
( O -100
incorrectly O -100
described O -100
as O -100
a O -100
romanesco O -100
sauce O -100
) O -100
. O -100
Some O -100
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the O -100
meal O -100
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some O -100
reason O -100
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did O -100
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. O -100
Management O -100
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seems O -100
capable O -100
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when O -100
the O -100
tenants O -100
in O -100
the O -100
apartment O -100
above O -100
began O -100
playing O -100
basketball O -100
she O -100
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also O -100
comped O -100
the O -100
tables O -100
a O -100
dessert O -100
. O -100
We O -100
ordered O -100
the O -100
apple O -100
dumpling O -100
with O -100
gelato O -100
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it O -100
was O -100
also O -100
quite O -100
tasty O -100
. O -100
Portions O -100
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huge O -100
which O -100
I O -100
particularly O -100
like O -100
because O -100
I O -100
prefer O -100
to O -100
order O -100
courses O -100
. O -100
If O -100
you O -100
are O -100
someone O -100
who O -100
orders O -100
just O -100
a O -100
meal O -100
you O -100
may O -100
leave O -100
hungry O -100
depending O -100
on O -100
you O -100
appetite O -100
. O -100
Dining O -100
room O -100
was O -100
mostly O -100
younger O -100
crowd O -100
while O -100
the O -100
bar O -100
was O -100
definitely O -100
the O -100
over O -100
40 O -100
set O -100
. O -100
Would O -100
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that O -100
the O -100
naysayers O -100
return O -100
to O -100
see O -100
the O -100
improvement O -100
although O -100
I O -100
personally O -100
don O -100
' O -100
t O -100
know O -100
the O -100
former O -100
glory O -100
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able O -100
to O -100
compare O -100
. O -100
Easy O -100
access O -100
to O -100
downtown O -100
Salem O -100
without O -100
the O -100
crowds O -100
on O -100
this O -100
month O -100
of O -100
October O -100
. O -100

Apparently O -100
Prides O -100
Osteria O -100
had O -100
a O -100
rough O -100
summer O -100
as O -100
evidenced O -100
by O -100
the O -100
almost O -100
empty O -100
dining O -100
room O -100
at O -100
6 O -100
: O -100
30 O -100
on O -100
a O -100
Friday O -100
night O -100
. O -100
However O -100
new O -100
blood O -100
in O -100
the O -100
kitchen O -100
seems O -100
to O -100
have O -100
revitalized O -100
the O -100
food O -100
from O -100
other O -100
customers O -100
recent O -100
visits O -100
. O -100
Waitstaff B-ASP -100
was O -100
warm O -100
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unobtrusive O -100
. O -100
By O -100
8 O -100
pm O -100
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so O -100
when O -100
we O -100
left O -100
the O -100
bar O -100
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full O -100
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dining B-ASP -100
room I-ASP -100
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more O -100
lively O -100
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it O -100
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. O -100
Perhaps O -100
Beverly O -100
residents O -100
prefer O -100
a O -100
later O -100
seating O -100
. O -100
After O -100
reading O -100
the O -100
mixed O -100
reviews O -100
of O -100
late O -100
I O -100
was O -100
a O -100
little O -100
tentative O -100
over O -100
our O -100
choice O -100
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luckily O -100
there O -100
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nothing O -100
to O -100
worry O -100
about O -100
in O -100
the O -100
food B-ASP Positive
department O -100
. O -100
We O -100
started O -100
with O -100
the O -100
fried O -100
dough O -100
, O -100
burrata O -100
and O -100
prosciutto O -100
which O -100
were O -100
all O -100
lovely O -100
. O -100
Then O -100
although O -100
they O -100
don O -100
' O -100
t O -100
offer O -100
half O -100
portions O -100
of O -100
pasta O -100
we O -100
each O -100
ordered O -100
the O -100
entree O -100
size O -100
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split O -100
them O -100
. O -100
We O -100
chose O -100
the O -100
tagliatelle O -100
bolognese O -100
and O -100
a O -100
four O -100
cheese O -100
filled O -100
pasta O -100
in O -100
a O -100
creamy O -100
sauce O -100
with O -100
bacon O -100
, O -100
asparagus O -100
and O -100
grana O -100
frita O -100
. O -100
Both O -100
were O -100
very O -100
good O -100
. O -100
We O -100
split O -100
a O -100
secondi O -100
which O -100
was O -100
the O -100
special O -100
Berkshire O -100
pork O -100
secreto O -100
, O -100
which O -100
was O -100
described O -100
as O -100
a O -100
pork O -100
skirt O -100
steak O -100
with O -100
garlic O -100
potato O -100
pur O -100
é O -100
e O -100
and O -100
romanesco O -100
broccoli O -100
( O -100
incorrectly O -100
described O -100
as O -100
a O -100
romanesco O -100
sauce O -100
) O -100
. O -100
Some O -100
tables O -100
received O -100
bread O -100
before O -100
the O -100
meal O -100
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for O -100
some O -100
reason O -100
we O -100
did O -100
not O -100
. O -100
Management O -100
also O -100
seems O -100
capable O -100
for O -100
when O -100
the O -100
tenants O -100
in O -100
the O -100
apartment O -100
above O -100
began O -100
playing O -100
basketball O -100
she O -100
intervened O -100
and O -100
also O -100
comped O -100
the O -100
tables O -100
a O -100
dessert O -100
. O -100
We O -100
ordered O -100
the O -100
apple O -100
dumpling O -100
with O -100
gelato O -100
and O -100
it O -100
was O -100
also O -100
quite O -100
tasty O -100
. O -100
Portions O -100
are O -100
not O -100
huge O -100
which O -100
I O -100
particularly O -100
like O -100
because O -100
I O -100
prefer O -100
to O -100
order O -100
courses O -100
. O -100
If O -100
you O -100
are O -100
someone O -100
who O -100
orders O -100
just O -100
a O -100
meal O -100
you O -100
may O -100
leave O -100
hungry O -100
depending O -100
on O -100
you O -100
appetite O -100
. O -100
Dining O -100
room O -100
was O -100
mostly O -100
younger O -100
crowd O -100
while O -100
the O -100
bar O -100
was O -100
definitely O -100
the O -100
over O -100
40 O -100
set O -100
. O -100
Would O -100
recommend O -100
that O -100
the O -100
naysayers O -100
return O -100
to O -100
see O -100
the O -100
improvement O -100
although O -100
I O -100
personally O -100
don O -100
' O -100
t O -100
know O -100
the O -100
former O -100
glory O -100
to O -100
be O -100
able O -100
to O -100
compare O -100
. O -100
Easy O -100
access O -100
to O -100
downtown O -100
Salem O -100
without O -100
the O -100
crowds O -100
on O -100
this O -100
month O -100
of O -100
October O -100
. O -100

This O -100
store O -100
is O -100
pretty O -100
good O -100
. O -100
Not O -100
as O -100
great O -100
as O -100
Walmart O -100
( O -100
or O -100
my O -100
preferred O -100
, O -100
Milford O -100
Target O -100
) O -100
, O -100
but O -100
closer O -100
and O -100
in O -100
a O -100
easier O -100
area O -100
to O -100
get O -100
to O -100
. O -100
The O -100
store B-ASP Positive
itself O -100
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pretty O -100
clean O -100
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organized O -100
, O -100
the O -100
staff B-ASP -100
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friendly O -100
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the O -100
time O -100
) O -100
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BEST O -100
of O -100
all O -100
is O -100
the O -100
Self O -100
Checkout O -100
this O -100
store O -100
has O -100
! O -100
Great O -100
clearance O -100
sections O -100
throughout O -100
, O -100
and O -100
great O -100
prices O -100
on O -100
everything O -100
in O -100
the O -100
store O -100
, O -100
in O -100
general O -100
( O -100
they O -100
pricematch O -100
too O -100
! O -100
) O -100
. O -100
Christian B-ASP -100
, I-ASP -100
Debbie I-ASP -100
, I-ASP -100
Jen I-ASP -100
and I-ASP -100
Hanna I-ASP -100
are O -100
all O -100
very O -100
friendly O -100
, O -100
helpful O -100
, O -100
sensitive O -100
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all O -100
customer O -100
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. O -100
Definitely O -100
one O -100
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the O -100
better O -100
Target O -100
locations O -100
in O -100
the O -100
area O -100
, O -100
and O -100
they O -100
do O -100
a O -100
GREAT O -100
job O -100
assisting O -100
customers O -100
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being O -100
such O -100
a O -100
busy O -100
store O -100
. O -100
Located O -100
directly O -100
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the O -100
Framingham O -100
Mall O -100
on O -100
Cochituate O -100
Rd O -100
/ O -100
Route O -100
30 O -100
. O -100
4 O -100
stars O -100
. O -100

This O -100
store O -100
is O -100
pretty O -100
good O -100
. O -100
Not O -100
as O -100
great O -100
as O -100
Walmart O -100
( O -100
or O -100
my O -100
preferred O -100
, O -100
Milford O -100
Target O -100
) O -100
, O -100
but O -100
closer O -100
and O -100
in O -100
a O -100
easier O -100
area O -100
to O -100
get O -100
to O -100
. O -100
The O -100
store B-ASP -100
itself O -100
is O -100
pretty O -100
clean O -100
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organized O -100
, O -100
the O -100
staff B-ASP Positive
are O -100
friendly O -100
( O -100
most O -100
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the O -100
time O -100
) O -100
, O -100
and O -100
BEST O -100
of O -100
all O -100
is O -100
the O -100
Self O -100
Checkout O -100
this O -100
store O -100
has O -100
! O -100
Great O -100
clearance O -100
sections O -100
throughout O -100
, O -100
and O -100
great O -100
prices O -100
on O -100
everything O -100
in O -100
the O -100
store O -100
, O -100
in O -100
general O -100
( O -100
they O -100
pricematch O -100
too O -100
! O -100
) O -100
. O -100
Christian B-ASP -100
, I-ASP -100
Debbie I-ASP -100
, I-ASP -100
Jen I-ASP -100
and I-ASP -100
Hanna I-ASP -100
are O -100
all O -100
very O -100
friendly O -100
, O -100
helpful O -100
, O -100
sensitive O -100
to O -100
all O -100
customer O -100
needs O -100
. O -100
Definitely O -100
one O -100
of O -100
the O -100
better O -100
Target O -100
locations O -100
in O -100
the O -100
area O -100
, O -100
and O -100
they O -100
do O -100
a O -100
GREAT O -100
job O -100
assisting O -100
customers O -100
for O -100
being O -100
such O -100
a O -100
busy O -100
store O -100
. O -100
Located O -100
directly O -100
in O -100
the O -100
Framingham O -100
Mall O -100
on O -100
Cochituate O -100
Rd O -100
/ O -100
Route O -100
30 O -100
. O -100
4 O -100
stars O -100
. O -100

This O -100
store O -100
is O -100
pretty O -100
good O -100
. O -100
Not O -100
as O -100
great O -100
as O -100
Walmart O -100
( O -100
or O -100
my O -100
preferred O -100
, O -100
Milford O -100
Target O -100
) O -100
, O -100
but O -100
closer O -100
and O -100
in O -100
a O -100
easier O -100
area O -100
to O -100
get O -100
to O -100
. O -100
The O -100
store B-ASP -100
itself O -100
is O -100
pretty O -100
clean O -100
and O -100
organized O -100
, O -100
the O -100
staff B-ASP -100
are O -100
friendly O -100
( O -100
most O -100
of O -100
the O -100
time O -100
) O -100
, O -100
and O -100
BEST O -100
of O -100
all O -100
is O -100
the O -100
Self O -100
Checkout O -100
this O -100
store O -100
has O -100
! O -100
Great O -100
clearance O -100
sections O -100
throughout O -100
, O -100
and O -100
great O -100
prices O -100
on O -100
everything O -100
in O -100
the O -100
store O -100
, O -100
in O -100
general O -100
( O -100
they O -100
pricematch O -100
too O -100
! O -100
) O -100
. O -100
Christian B-ASP Positive
, I-ASP Positive
Debbie I-ASP Positive
, I-ASP Positive
Jen I-ASP Positive
and I-ASP Positive
Hanna I-ASP Positive
are O -100
all O -100
very O -100
friendly O -100
, O -100
helpful O -100
, O -100
sensitive O -100
to O -100
all O -100
customer O -100
needs O -100
. O -100
Definitely O -100
one O -100
of O -100
the O -100
better O -100
Target O -100
locations O -100
in O -100
the O -100
area O -100
, O -100
and O -100
they O -100
do O -100
a O -100
GREAT O -100
job O -100
assisting O -100
customers O -100
for O -100
being O -100
such O -100
a O -100
busy O -100
store O -100
. O -100
Located O -100
directly O -100
in O -100
the O -100
Framingham O -100
Mall O -100
on O -100
Cochituate O -100
Rd O -100
/ O -100
Route O -100
30 O -100
. O -100
4 O -100
stars O -100
. O -100

The O -100
food B-ASP Positive
is O -100
always O -100
great O -100
here O -100
. O -100
The O -100
service B-ASP -100
from O -100
both O -100
the O -100
manager O -100
as O -100
well O -100
as O -100
the O -100
staff O -100
is O -100
super O -100
. O -100
Only O -100
draw O -100
back O -100
of O -100
this O -100
restaurant O -100
is O -100
it O -100
' O -100
s O -100
super O -100
loud O -100
. O -100
If O -100
you O -100
can O -100
, O -100
snag O -100
a O -100
patio O -100
table O -100
! O -100

The O -100
food B-ASP -100
is O -100
always O -100
great O -100
here O -100
. O -100
The O -100
service B-ASP Positive
from O -100
both O -100
the O -100
manager O -100
as O -100
well O -100
as O -100
the O -100
staff O -100
is O -100
super O -100
. O -100
Only O -100
draw O -100
back O -100
of O -100
this O -100
restaurant O -100
is O -100
it O -100
' O -100
s O -100
super O -100
loud O -100
. O -100
If O -100
you O -100
can O -100
, O -100
snag O -100
a O -100
patio O -100
table O -100
! O -100

The O -100
setting B-ASP Positive
is O -100
perfectly O -100
adequate O -100
, O -100
and O -100
the O -100
food B-ASP -100
comes O -100
close O -100
. O -100
The O -100
dining O -100
chains O -100
like O -100
Chilis O -100
and O -100
Victoria O -100
Station O -100
do O -100
barbecue O -100
better O -100
. O -100
It O -100
' O -100
s O -100
no O -100
surprise O -100
you O -100
can O -100
always O -100
pick O -100
up O -100
coupons O -100
for O -100
Linwood O -100
at O -100
restaurant O -100
. O -100
com O -100
. O -100

The O -100
setting B-ASP -100
is O -100
perfectly O -100
adequate O -100
, O -100
and O -100
the O -100
food B-ASP Neutral
comes O -100
close O -100
. O -100
The O -100
dining O -100
chains O -100
like O -100
Chilis O -100
and O -100
Victoria O -100
Station O -100
do O -100
barbecue O -100
better O -100
. O -100
It O -100
' O -100
s O -100
no O -100
surprise O -100
you O -100
can O -100
always O -100
pick O -100
up O -100
coupons O -100
for O -100
Linwood O -100
at O -100
restaurant O -100
. O -100
com O -100
. O -100

Probably O -100
one O -100
of O -100
the O -100
better O -100
breakfast B-ASP Positive
sandwiches I-ASP Positive
I O -100
' O -100
ve O -100
ever O -100
had O -100
. O -100
I O -100
had O -100
the O -100
EGGMEATMUFFIN O -100
, O -100
the O -100
bread B-ASP -100
was O -100
toasted O -100
perfectly O -100
and O -100
the O -100
bacon O -100
was O -100
a O -100
real O -100
thick O -100
cut O -100
. O -100
Not O -100
that O -100
lame O -100
bacon O -100
we O -100
are O -100
more O -100
familiar O -100
with O -100
at O -100
your O -100
conventional O -100
breakfast O -100
diner O -100
. O -100
In O -100
addition O -100
, O -100
the O -100
place B-ASP -100
was O -100
clean O -100
and O -100
the O -100
staff B-ASP -100
was O -100
very O -100
helpful O -100
. O -100
The O -100
butcher B-ASP -100
had O -100
several O -100
different O -100
cuts O -100
available O -100
and O -100
was O -100
knowledgable O -100
as O -100
well O -100
as O -100
friendly O -100
. O -100
I O -100
left O -100
with O -100
some O -100
cuts O -100
of O -100
pork O -100
and O -100
beef O -100
and O -100
am O -100
excited O -100
to O -100
come O -100
back O -100
! O -100

Probably O -100
one O -100
of O -100
the O -100
better O -100
breakfast B-ASP -100
sandwiches I-ASP -100
I O -100
' O -100
ve O -100
ever O -100
had O -100
. O -100
I O -100
had O -100
the O -100
EGGMEATMUFFIN O -100
, O -100
the O -100
bread B-ASP Positive
was O -100
toasted O -100
perfectly O -100
and O -100
the O -100
bacon O -100
was O -100
a O -100
real O -100
thick O -100
cut O -100
. O -100
Not O -100
that O -100
lame O -100
bacon O -100
we O -100
are O -100
more O -100
familiar O -100
with O -100
at O -100
your O -100
conventional O -100
breakfast O -100
diner O -100
. O -100
In O -100
addition O -100
, O -100
the O -100
place B-ASP -100
was O -100
clean O -100
and O -100
the O -100
staff B-ASP -100
was O -100
very O -100
helpful O -100
. O -100
The O -100
butcher B-ASP -100
had O -100
several O -100
different O -100
cuts O -100
available O -100
and O -100
was O -100
knowledgable O -100
as O -100
well O -100
as O -100
friendly O -100
. O -100
I O -100
left O -100
with O -100
some O -100
cuts O -100
of O -100
pork O -100
and O -100
beef O -100
and O -100
am O -100
excited O -100
to O -100
come O -100
back O -100
! O -100

Probably O -100
one O -100
of O -100
the O -100
better O -100
breakfast B-ASP -100
sandwiches I-ASP -100
I O -100
' O -100
ve O -100
ever O -100
had O -100
. O -100
I O -100
had O -100
the O -100
EGGMEATMUFFIN O -100
, O -100
the O -100
bread B-ASP -100
was O -100
toasted O -100
perfectly O -100
and O -100
the O -100
bacon O -100
was O -100
a O -100
real O -100
thick O -100
cut O -100
. O -100
Not O -100
that O -100
lame O -100
bacon O -100
we O -100
are O -100
more O -100
familiar O -100
with O -100
at O -100
your O -100
conventional O -100
breakfast O -100
diner O -100
. O -100
In O -100
addition O -100
, O -100
the O -100
place B-ASP Positive
was O -100
clean O -100
and O -100
the O -100
staff B-ASP -100
was O -100
very O -100
helpful O -100
. O -100
The O -100
butcher B-ASP -100
had O -100
several O -100
different O -100
cuts O -100
available O -100
and O -100
was O -100
knowledgable O -100
as O -100
well O -100
as O -100
friendly O -100
. O -100
I O -100
left O -100
with O -100
some O -100
cuts O -100
of O -100
pork O -100
and O -100
beef O -100
and O -100
am O -100
excited O -100
to O -100
come O -100
back O -100
! O -100

Probably O -100
one O -100
of O -100
the O -100
better O -100
breakfast B-ASP -100
sandwiches I-ASP -100
I O -100
' O -100
ve O -100
ever O -100
had O -100
. O -100
I O -100
had O -100
the O -100
EGGMEATMUFFIN O -100
, O -100
the O -100
bread B-ASP -100
was O -100
toasted O -100
perfectly O -100
and O -100
the O -100
bacon O -100
was O -100
a O -100
real O -100
thick O -100
cut O -100
. O -100
Not O -100
that O -100
lame O -100
bacon O -100
we O -100
are O -100
more O -100
familiar O -100
with O -100
at O -100
your O -100
conventional O -100
breakfast O -100
diner O -100
. O -100
In O -100
addition O -100
, O -100
the O -100
place B-ASP -100
was O -100
clean O -100
and O -100
the O -100
staff B-ASP Positive
was O -100
very O -100
helpful O -100
. O -100
The O -100
butcher B-ASP -100
had O -100
several O -100
different O -100
cuts O -100
available O -100
and O -100
was O -100
knowledgable O -100
as O -100
well O -100
as O -100
friendly O -100
. O -100
I O -100
left O -100
with O -100
some O -100
cuts O -100
of O -100
pork O -100
and O -100
beef O -100
and O -100
am O -100
excited O -100
to O -100
come O -100
back O -100
! O -100

Probably O -100
one O -100
of O -100
the O -100
better O -100
breakfast B-ASP -100
sandwiches I-ASP -100
I O -100
' O -100
ve O -100
ever O -100
had O -100
. O -100
I O -100
had O -100
the O -100
EGGMEATMUFFIN O -100
, O -100
the O -100
bread B-ASP -100
was O -100
toasted O -100
perfectly O -100
and O -100
the O -100
bacon O -100
was O -100
a O -100
real O -100
thick O -100
cut O -100
. O -100
Not O -100
that O -100
lame O -100
bacon O -100
we O -100
are O -100
more O -100
familiar O -100
with O -100
at O -100
your O -100
conventional O -100
breakfast O -100
diner O -100
. O -100
In O -100
addition O -100
, O -100
the O -100
place B-ASP -100
was O -100
clean O -100
and O -100
the O -100
staff B-ASP -100
was O -100
very O -100
helpful O -100
. O -100
The O -100
butcher B-ASP Positive
had O -100
several O -100
different O -100
cuts O -100
available O -100
and O -100
was O -100
knowledgable O -100
as O -100
well O -100
as O -100
friendly O -100
. O -100
I O -100
left O -100
with O -100
some O -100
cuts O -100
of O -100
pork O -100
and O -100
beef O -100
and O -100
am O -100
excited O -100
to O -100
come O -100
back O -100
! O -100

I O -100
work O -100
in O -100
the O -100
Pru O -100
and O -100
this O -100
is O -100
the O -100
most O -100
affordable O -100
and O -100
tasty O -100
place O -100
in O -100
the O -100
food O -100
court O -100
. O -100
deals B-ASP Positive
where O -100
a O -100
meal O -100
is O -100
$ O -100
5 O -100
$ O -100
7 O -100
and O -100
the O -100
chicken B-ASP -100
pesto I-ASP -100
is O -100
really O -100
good O -100
. O -100
I O -100
am O -100
not O -100
a O -100
chowda O -100
person O -100
but O -100
all O -100
there O -100
soups O -100
I O -100
have O -100
had O -100
are O -100
pretty O -100
damn O -100
good O -100
. O -100
Broccoli O -100
chicken O -100
is O -100
my O -100
favorite O -100
. O -100
Also O -100
, O -100
probably O -100
the O -100
most O -100
personable O -100
Food O -100
court O -100
staff B-ASP -100
I O -100
have O -100
ever O -100
had O -100
the O -100
pleasure O -100
of O -100
ordering O -100
from O -100
. O -100

I O -100
work O -100
in O -100
the O -100
Pru O -100
and O -100
this O -100
is O -100
the O -100
most O -100
affordable O -100
and O -100
tasty O -100
place O -100
in O -100
the O -100
food O -100
court O -100
. O -100
deals B-ASP -100
where O -100
a O -100
meal O -100
is O -100
$ O -100
5 O -100
$ O -100
7 O -100
and O -100
the O -100
chicken B-ASP Positive
pesto I-ASP Positive
is O -100
really O -100
good O -100
. O -100
I O -100
am O -100
not O -100
a O -100
chowda O -100
person O -100
but O -100
all O -100
there O -100
soups O -100
I O -100
have O -100
had O -100
are O -100
pretty O -100
damn O -100
good O -100
. O -100
Broccoli O -100
chicken O -100
is O -100
my O -100
favorite O -100
. O -100
Also O -100
, O -100
probably O -100
the O -100
most O -100
personable O -100
Food O -100
court O -100
staff B-ASP -100
I O -100
have O -100
ever O -100
had O -100
the O -100
pleasure O -100
of O -100
ordering O -100
from O -100
. O -100

I O -100
work O -100
in O -100
the O -100
Pru O -100
and O -100
this O -100
is O -100
the O -100
most O -100
affordable O -100
and O -100
tasty O -100
place O -100
in O -100
the O -100
food O -100
court O -100
. O -100
deals B-ASP -100
where O -100
a O -100
meal O -100
is O -100
$ O -100
5 O -100
$ O -100
7 O -100
and O -100
the O -100
chicken B-ASP -100
pesto I-ASP -100
is O -100
really O -100
good O -100
. O -100
I O -100
am O -100
not O -100
a O -100
chowda O -100
person O -100
but O -100
all O -100
there O -100
soups O -100
I O -100
have O -100
had O -100
are O -100
pretty O -100
damn O -100
good O -100
. O -100
Broccoli O -100
chicken O -100
is O -100
my O -100
favorite O -100
. O -100
Also O -100
, O -100
probably O -100
the O -100
most O -100
personable O -100
Food O -100
court O -100
staff B-ASP Positive
I O -100
have O -100
ever O -100
had O -100
the O -100
pleasure O -100
of O -100
ordering O -100
from O -100
. O -100

They O -100
NEVER O -100
seem O -100
to O -100
get O -100
our O -100
order B-ASP Negative
correct O -100
, O -100
service B-ASP -100
is O -100
crappy O -100
, O -100
food B-ASP -100
is O -100
inconsistent O -100
and O -100
has O -100
gone O -100
down O -100
hill O -100
steadily O -100
in O -100
the O -100
last O -100
6 O -100
9 O -100
months O -100
! O -100
WILL O -100
NEVER O -100
GO O -100
THERE O -100
AGAIN O -100
! O -100

They O -100
NEVER O -100
seem O -100
to O -100
get O -100
our O -100
order B-ASP -100
correct O -100
, O -100
service B-ASP Negative
is O -100
crappy O -100
, O -100
food B-ASP -100
is O -100
inconsistent O -100
and O -100
has O -100
gone O -100
down O -100
hill O -100
steadily O -100
in O -100
the O -100
last O -100
6 O -100
9 O -100
months O -100
! O -100
WILL O -100
NEVER O -100
GO O -100
THERE O -100
AGAIN O -100
! O -100

They O -100
NEVER O -100
seem O -100
to O -100
get O -100
our O -100
order B-ASP -100
correct O -100
, O -100
service B-ASP -100
is O -100
crappy O -100
, O -100
food B-ASP Negative
is O -100
inconsistent O -100
and O -100
has O -100
gone O -100
down O -100
hill O -100
steadily O -100
in O -100
the O -100
last O -100
6 O -100
9 O -100
months O -100
! O -100
WILL O -100
NEVER O -100
GO O -100
THERE O -100
AGAIN O -100
! O -100

I O -100
have O -100
been O -100
here O -100
twice O -100
and O -100
have O -100
had O -100
really O -100
good O -100
food B-ASP Positive
and O -100
service B-ASP -100
both O -100
times O -100
. O -100
I O -100
got O -100
a O -100
burger O -100
with O -100
caramelized O -100
onions O -100
, O -100
a O -100
red O -100
wine O -100
sauce O -100
and O -100
I O -100
believe O -100
blue O -100
cheese O -100
the O -100
first O -100
time O -100
. O -100
It O -100
was O -100
excellent O -100
and O -100
just O -100
the O -100
right O -100
size O -100
for O -100
me O -100
. O -100
I O -100
hate O -100
going O -100
out O -100
and O -100
ordering O -100
a O -100
burger O -100
that O -100
is O -100
bigger O -100
than O -100
my O -100
head O -100
that O -100
I O -100
can O -100
' O -100
t O -100
even O -100
finish O -100
half O -100
of O -100
! O -100
Flip O -100
' O -100
s O -100
burgers O -100
are O -100
about O -100
the O -100
same O -100
size O -100
I O -100
would O -100
make O -100
for O -100
myself O -100
at O -100
home O -100
. O -100
The O -100
second O -100
time O -100
I O -100
went O -100
I O -100
had O -100
a O -100
limited O -100
time O -100
seasonal O -100
offering O -100
which O -100
was O -100
a O -100
venison O -100
burger O -100
with O -100
pea O -100
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' O -100
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' O -100
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! O -100
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' O -100
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There O -100
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' O -100
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They O -100
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' O -100
t O -100
make O -100
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. O -100
Everything O -100
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the O -100
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It O -100
' O -100
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. O -100
This O -100
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Earth O -100
I O -100
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Burger O -100
King O -100
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This O -100
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front O -100
door O -100
, O -100
Daniel O -100
a O -100
seasoned O -100
waiter B-ASP Positive
from O -100
Hawaii O -100
, O -100
took O -100
care O -100
of O -100
us O -100
and O -100
the O -100
food B-ASP -100
was O -100
over O -100
the O -100
top O -100
delicious O -100
. O -100
This O -100
is O -100
not O -100
just O -100
a O -100
restaurant O -100
, O -100
it O -100
is O -100
an O -100
experience O -100
! O -100
My O -100
son O -100
recommended O -100
this O -100
to O -100
us O -100
and O -100
we O -100
are O -100
glad O -100
that O -100
we O -100
took O -100
his O -100
advice O -100
. O -100
I O -100
had O -100
the O -100
rack O -100
of O -100
lamb O -100
and O -100
my O -100
wife O -100
had O -100
the O -100
grouper O -100
with O -100
crab O -100
. O -100
Save O -100
room O -100
for O -100
dessert O -100
! O -100
We O -100
live O -100
in O -100
Tallahassee O -100
but O -100
the O -100
next O -100
time O -100
we O -100
are O -100
in O -100
Orlando O -100
it O -100
' O -100
s O -100
back O -100
to O -100
Chatham O -100
' O -100
s O -100
! O -100

This O -100
is O -100
a O -100
five O -100
star O -100
restaurant O -100
if O -100
ever O -100
I O -100
have O -100
seen O -100
one O -100
! O -100
Maurice O -100
, O -100
one O -100
of O -100
the O -100
owners O -100
, O -100
met O -100
us O -100
at O -100
the O -100
front O -100
door O -100
, O -100
Daniel O -100
a O -100
seasoned O -100
waiter B-ASP -100
from O -100
Hawaii O -100
, O -100
took O -100
care O -100
of O -100
us O -100
and O -100
the O -100
food B-ASP Positive
was O -100
over O -100
the O -100
top O -100
delicious O -100
. O -100
This O -100
is O -100
not O -100
just O -100
a O -100
restaurant O -100
, O -100
it O -100
is O -100
an O -100
experience O -100
! O -100
My O -100
son O -100
recommended O -100
this O -100
to O -100
us O -100
and O -100
we O -100
are O -100
glad O -100
that O -100
we O -100
took O -100
his O -100
advice O -100
. O -100
I O -100
had O -100
the O -100
rack O -100
of O -100
lamb O -100
and O -100
my O -100
wife O -100
had O -100
the O -100
grouper O -100
with O -100
crab O -100
. O -100
Save O -100
room O -100
for O -100
dessert O -100
! O -100
We O -100
live O -100
in O -100
Tallahassee O -100
but O -100
the O -100
next O -100
time O -100
we O -100
are O -100
in O -100
Orlando O -100
it O -100
' O -100
s O -100
back O -100
to O -100
Chatham O -100
' O -100
s O -100
! O -100

Quickly O -100
stopped O -100
in O -100
for O -100
a O -100
UFC O -100
fight O -100
. O -100
I O -100
sat O -100
down O -100
at O -100
the O -100
bar O -100
while O -100
my O -100
boyfriend O -100
parked O -100
the O -100
car O -100
. O -100
Although O -100
the O -100
restaurant O -100
/ O -100
bar O -100
was O -100
packed O -100
and O -100
LOUD O -100
, O -100
the O -100
bartender B-ASP Positive
( O -100
Vanessa O -100
) O -100
came O -100
over O -100
within O -100
a O -100
minute O -100
. O -100
Prompt O -100
service B-ASP -100
with O -100
a O -100
smile O -100
. O -100
When O -100
my O -100
boyfriend O -100
arrived O -100
a O -100
few O -100
minutes O -100
later O -100
, O -100
we O -100
didn O -100
' O -100
t O -100
see O -100
Vanessa O -100
behind O -100
the O -100
bar O -100
so O -100
we O -100
tried O -100
to O -100
flag O -100
down O -100
her O -100
male O -100
coworker O -100
. O -100
He O -100
was O -100
caught O -100
up O -100
watching O -100
the O -100
fight O -100
and O -100
it O -100
took O -100
a O -100
few O -100
minutes O -100
to O -100
get O -100
his O -100
attention O -100
which O -100
is O -100
fine O -100
. O -100
Not O -100
fine O -100
, O -100
however O -100
, O -100
is O -100
that O -100
after O -100
I O -100
ordered B-ASP -100
a O -100
beer O -100
, O -100
he O -100
stood O -100
and O -100
texted O -100
for O -100
a O -100
few O -100
minutes O -100
before O -100
getting O -100
my O -100
beer O -100
and O -100
held O -100
his O -100
arm O -100
up O -100
to O -100
shield O -100
his O -100
texting O -100
from O -100
management O -100
lol O -100
. O -100
Vanessa O -100
, O -100
however O -100
, O -100
is O -100
an O -100
excellent O -100
bartender B-ASP -100
! O -100
! O -100
As O -100
loud O -100
as O -100
it O -100
is O -100
in O -100
this O -100
place O -100
, O -100
she O -100
continually O -100
scanned O -100
the O -100
bar O -100
looking O -100
for O -100
people O -100
attempting O -100
to O -100
make O -100
eye O -100
contact O -100
with O -100
her O -100
for O -100
service O -100
. O -100
I O -100
watched O -100
her O -100
work O -100
( O -100
my O -100
boyfriend O -100
and O -100
I O -100
have O -100
thirty O -100
years O -100
of O -100
food O -100
and O -100
beverage O -100
experience O -100
between O -100
the O -100
two O -100
of O -100
us O -100
) O -100
and O -100
she B-ASP -100
was O -100
focused O -100
and O -100
productive O -100
, O -100
but O -100
most O -100
importantly O -100
, O -100
she B-ASP -100
was O -100
ATTENTIVE O -100
! O -100
Give O -100
this O -100
girl O -100
a O -100
raise O -100
! O -100
! O -100

Quickly O -100
stopped O -100
in O -100
for O -100
a O -100
UFC O -100
fight O -100
. O -100
I O -100
sat O -100
down O -100
at O -100
the O -100
bar O -100
while O -100
my O -100
boyfriend O -100
parked O -100
the O -100
car O -100
. O -100
Although O -100
the O -100
restaurant O -100
/ O -100
bar O -100
was O -100
packed O -100
and O -100
LOUD O -100
, O -100
the O -100
bartender B-ASP -100
( O -100
Vanessa O -100
) O -100
came O -100
over O -100
within O -100
a O -100
minute O -100
. O -100
Prompt O -100
service B-ASP Positive
with O -100
a O -100
smile O -100
. O -100
When O -100
my O -100
boyfriend O -100
arrived O -100
a O -100
few O -100
minutes O -100
later O -100
, O -100
we O -100
didn O -100
' O -100
t O -100
see O -100
Vanessa O -100
behind O -100
the O -100
bar O -100
so O -100
we O -100
tried O -100
to O -100
flag O -100
down O -100
her O -100
male O -100
coworker O -100
. O -100
He O -100
was O -100
caught O -100
up O -100
watching O -100
the O -100
fight O -100
and O -100
it O -100
took O -100
a O -100
few O -100
minutes O -100
to O -100
get O -100
his O -100
attention O -100
which O -100
is O -100
fine O -100
. O -100
Not O -100
fine O -100
, O -100
however O -100
, O -100
is O -100
that O -100
after O -100
I O -100
ordered B-ASP -100
a O -100
beer O -100
, O -100
he O -100
stood O -100
and O -100
texted O -100
for O -100
a O -100
few O -100
minutes O -100
before O -100
getting O -100
my O -100
beer O -100
and O -100
held O -100
his O -100
arm O -100
up O -100
to O -100
shield O -100
his O -100
texting O -100
from O -100
management O -100
lol O -100
. O -100
Vanessa O -100
, O -100
however O -100
, O -100
is O -100
an O -100
excellent O -100
bartender B-ASP -100
! O -100
! O -100
As O -100
loud O -100
as O -100
it O -100
is O -100
in O -100
this O -100
place O -100
, O -100
she O -100
continually O -100
scanned O -100
the O -100
bar O -100
looking O -100
for O -100
people O -100
attempting O -100
to O -100
make O -100
eye O -100
contact O -100
with O -100
her O -100
for O -100
service O -100
. O -100
I O -100
watched O -100
her O -100
work O -100
( O -100
my O -100
boyfriend O -100
and O -100
I O -100
have O -100
thirty O -100
years O -100
of O -100
food O -100
and O -100
beverage O -100
experience O -100
between O -100
the O -100
two O -100
of O -100
us O -100
) O -100
and O -100
she B-ASP -100
was O -100
focused O -100
and O -100
productive O -100
, O -100
but O -100
most O -100
importantly O -100
, O -100
she B-ASP -100
was O -100
ATTENTIVE O -100
! O -100
Give O -100
this O -100
girl O -100
a O -100
raise O -100
! O -100
! O -100

Quickly O -100
stopped O -100
in O -100
for O -100
a O -100
UFC O -100
fight O -100
. O -100
I O -100
sat O -100
down O -100
at O -100
the O -100
bar O -100
while O -100
my O -100
boyfriend O -100
parked O -100
the O -100
car O -100
. O -100
Although O -100
the O -100
restaurant O -100
/ O -100
bar O -100
was O -100
packed O -100
and O -100
LOUD O -100
, O -100
the O -100
bartender B-ASP -100
( O -100
Vanessa O -100
) O -100
came O -100
over O -100
within O -100
a O -100
minute O -100
. O -100
Prompt O -100
service B-ASP -100
with O -100
a O -100
smile O -100
. O -100
When O -100
my O -100
boyfriend O -100
arrived O -100
a O -100
few O -100
minutes O -100
later O -100
, O -100
we O -100
didn O -100
' O -100
t O -100
see O -100
Vanessa O -100
behind O -100
the O -100
bar O -100
so O -100
we O -100
tried O -100
to O -100
flag O -100
down O -100
her O -100
male O -100
coworker O -100
. O -100
He O -100
was O -100
caught O -100
up O -100
watching O -100
the O -100
fight O -100
and O -100
it O -100
took O -100
a O -100
few O -100
minutes O -100
to O -100
get O -100
his O -100
attention O -100
which O -100
is O -100
fine O -100
. O -100
Not O -100
fine O -100
, O -100
however O -100
, O -100
is O -100
that O -100
after O -100
I O -100
ordered B-ASP Negative
a O -100
beer O -100
, O -100
he O -100
stood O -100
and O -100
texted O -100
for O -100
a O -100
few O -100
minutes O -100
before O -100
getting O -100
my O -100
beer O -100
and O -100
held O -100
his O -100
arm O -100
up O -100
to O -100
shield O -100
his O -100
texting O -100
from O -100
management O -100
lol O -100
. O -100
Vanessa O -100
, O -100
however O -100
, O -100
is O -100
an O -100
excellent O -100
bartender B-ASP -100
! O -100
! O -100
As O -100
loud O -100
as O -100
it O -100
is O -100
in O -100
this O -100
place O -100
, O -100
she O -100
continually O -100
scanned O -100
the O -100
bar O -100
looking O -100
for O -100
people O -100
attempting O -100
to O -100
make O -100
eye O -100
contact O -100
with O -100
her O -100
for O -100
service O -100
. O -100
I O -100
watched O -100
her O -100
work O -100
( O -100
my O -100
boyfriend O -100
and O -100
I O -100
have O -100
thirty O -100
years O -100
of O -100
food O -100
and O -100
beverage O -100
experience O -100
between O -100
the O -100
two O -100
of O -100
us O -100
) O -100
and O -100
she B-ASP -100
was O -100
focused O -100
and O -100
productive O -100
, O -100
but O -100
most O -100
importantly O -100
, O -100
she B-ASP -100
was O -100
ATTENTIVE O -100
! O -100
Give O -100
this O -100
girl O -100
a O -100
raise O -100
! O -100
! O -100

Quickly O -100
stopped O -100
in O -100
for O -100
a O -100
UFC O -100
fight O -100
. O -100
I O -100
sat O -100
down O -100
at O -100
the O -100
bar O -100
while O -100
my O -100
boyfriend O -100
parked O -100
the O -100
car O -100
. O -100
Although O -100
the O -100
restaurant O -100
/ O -100
bar O -100
was O -100
packed O -100
and O -100
LOUD O -100
, O -100
the O -100
bartender B-ASP -100
( O -100
Vanessa O -100
) O -100
came O -100
over O -100
within O -100
a O -100
minute O -100
. O -100
Prompt O -100
service B-ASP -100
with O -100
a O -100
smile O -100
. O -100
When O -100
my O -100
boyfriend O -100
arrived O -100
a O -100
few O -100
minutes O -100
later O -100
, O -100
we O -100
didn O -100
' O -100
t O -100
see O -100
Vanessa O -100
behind O -100
the O -100
bar O -100
so O -100
we O -100
tried O -100
to O -100
flag O -100
down O -100
her O -100
male O -100
coworker O -100
. O -100
He O -100
was O -100
caught O -100
up O -100
watching O -100
the O -100
fight O -100
and O -100
it O -100
took O -100
a O -100
few O -100
minutes O -100
to O -100
get O -100
his O -100
attention O -100
which O -100
is O -100
fine O -100
. O -100
Not O -100
fine O -100
, O -100
however O -100
, O -100
is O -100
that O -100
after O -100
I O -100
ordered B-ASP -100
a O -100
beer O -100
, O -100
he O -100
stood O -100
and O -100
texted O -100
for O -100
a O -100
few O -100
minutes O -100
before O -100
getting O -100
my O -100
beer O -100
and O -100
held O -100
his O -100
arm O -100
up O -100
to O -100
shield O -100
his O -100
texting O -100
from O -100
management O -100
lol O -100
. O -100
Vanessa O -100
, O -100
however O -100
, O -100
is O -100
an O -100
excellent O -100
bartender B-ASP Positive
! O -100
! O -100
As O -100
loud O -100
as O -100
it O -100
is O -100
in O -100
this O -100
place O -100
, O -100
she O -100
continually O -100
scanned O -100
the O -100
bar O -100
looking O -100
for O -100
people O -100
attempting O -100
to O -100
make O -100
eye O -100
contact O -100
with O -100
her O -100
for O -100
service O -100
. O -100
I O -100
watched O -100
her O -100
work O -100
( O -100
my O -100
boyfriend O -100
and O -100
I O -100
have O -100
thirty O -100
years O -100
of O -100
food O -100
and O -100
beverage O -100
experience O -100
between O -100
the O -100
two O -100
of O -100
us O -100
) O -100
and O -100
she B-ASP -100
was O -100
focused O -100
and O -100
productive O -100
, O -100
but O -100
most O -100
importantly O -100
, O -100
she B-ASP -100
was O -100
ATTENTIVE O -100
! O -100
Give O -100
this O -100
girl O -100
a O -100
raise O -100
! O -100
! O -100

Quickly O -100
stopped O -100
in O -100
for O -100
a O -100
UFC O -100
fight O -100
. O -100
I O -100
sat O -100
down O -100
at O -100
the O -100
bar O -100
while O -100
my O -100
boyfriend O -100
parked O -100
the O -100
car O -100
. O -100
Although O -100
the O -100
restaurant O -100
/ O -100
bar O -100
was O -100
packed O -100
and O -100
LOUD O -100
, O -100
the O -100
bartender B-ASP -100
( O -100
Vanessa O -100
) O -100
came O -100
over O -100
within O -100
a O -100
minute O -100
. O -100
Prompt O -100
service B-ASP -100
with O -100
a O -100
smile O -100
. O -100
When O -100
my O -100
boyfriend O -100
arrived O -100
a O -100
few O -100
minutes O -100
later O -100
, O -100
we O -100
didn O -100
' O -100
t O -100
see O -100
Vanessa O -100
behind O -100
the O -100
bar O -100
so O -100
we O -100
tried O -100
to O -100
flag O -100
down O -100
her O -100
male O -100
coworker O -100
. O -100
He O -100
was O -100
caught O -100
up O -100
watching O -100
the O -100
fight O -100
and O -100
it O -100
took O -100
a O -100
few O -100
minutes O -100
to O -100
get O -100
his O -100
attention O -100
which O -100
is O -100
fine O -100
. O -100
Not O -100
fine O -100
, O -100
however O -100
, O -100
is O -100
that O -100
after O -100
I O -100
ordered B-ASP -100
a O -100
beer O -100
, O -100
he O -100
stood O -100
and O -100
texted O -100
for O -100
a O -100
few O -100
minutes O -100
before O -100
getting O -100
my O -100
beer O -100
and O -100
held O -100
his O -100
arm O -100
up O -100
to O -100
shield O -100
his O -100
texting O -100
from O -100
management O -100
lol O -100
. O -100
Vanessa O -100
, O -100
however O -100
, O -100
is O -100
an O -100
excellent O -100
bartender B-ASP -100
! O -100
! O -100
As O -100
loud O -100
as O -100
it O -100
is O -100
in O -100
this O -100
place O -100
, O -100
she O -100
continually O -100
scanned O -100
the O -100
bar O -100
looking O -100
for O -100
people O -100
attempting O -100
to O -100
make O -100
eye O -100
contact O -100
with O -100
her O -100
for O -100
service O -100
. O -100
I O -100
watched O -100
her O -100
work O -100
( O -100
my O -100
boyfriend O -100
and O -100
I O -100
have O -100
thirty O -100
years O -100
of O -100
food O -100
and O -100
beverage O -100
experience O -100
between O -100
the O -100
two O -100
of O -100
us O -100
) O -100
and O -100
she B-ASP Positive
was O -100
focused O -100
and O -100
productive O -100
, O -100
but O -100
most O -100
importantly O -100
, O -100
she B-ASP -100
was O -100
ATTENTIVE O -100
! O -100
Give O -100
this O -100
girl O -100
a O -100
raise O -100
! O -100
! O -100

Quickly O -100
stopped O -100
in O -100
for O -100
a O -100
UFC O -100
fight O -100
. O -100
I O -100
sat O -100
down O -100
at O -100
the O -100
bar O -100
while O -100
my O -100
boyfriend O -100
parked O -100
the O -100
car O -100
. O -100
Although O -100
the O -100
restaurant O -100
/ O -100
bar O -100
was O -100
packed O -100
and O -100
LOUD O -100
, O -100
the O -100
bartender B-ASP -100
( O -100
Vanessa O -100
) O -100
came O -100
over O -100
within O -100
a O -100
minute O -100
. O -100
Prompt O -100
service B-ASP -100
with O -100
a O -100
smile O -100
. O -100
When O -100
my O -100
boyfriend O -100
arrived O -100
a O -100
few O -100
minutes O -100
later O -100
, O -100
we O -100
didn O -100
' O -100
t O -100
see O -100
Vanessa O -100
behind O -100
the O -100
bar O -100
so O -100
we O -100
tried O -100
to O -100
flag O -100
down O -100
her O -100
male O -100
coworker O -100
. O -100
He O -100
was O -100
caught O -100
up O -100
watching O -100
the O -100
fight O -100
and O -100
it O -100
took O -100
a O -100
few O -100
minutes O -100
to O -100
get O -100
his O -100
attention O -100
which O -100
is O -100
fine O -100
. O -100
Not O -100
fine O -100
, O -100
however O -100
, O -100
is O -100
that O -100
after O -100
I O -100
ordered B-ASP -100
a O -100
beer O -100
, O -100
he O -100
stood O -100
and O -100
texted O -100
for O -100
a O -100
few O -100
minutes O -100
before O -100
getting O -100
my O -100
beer O -100
and O -100
held O -100
his O -100
arm O -100
up O -100
to O -100
shield O -100
his O -100
texting O -100
from O -100
management O -100
lol O -100
. O -100
Vanessa O -100
, O -100
however O -100
, O -100
is O -100
an O -100
excellent O -100
bartender B-ASP -100
! O -100
! O -100
As O -100
loud O -100
as O -100
it O -100
is O -100
in O -100
this O -100
place O -100
, O -100
she O -100
continually O -100
scanned O -100
the O -100
bar O -100
looking O -100
for O -100
people O -100
attempting O -100
to O -100
make O -100
eye O -100
contact O -100
with O -100
her O -100
for O -100
service O -100
. O -100
I O -100
watched O -100
her O -100
work O -100
( O -100
my O -100
boyfriend O -100
and O -100
I O -100
have O -100
thirty O -100
years O -100
of O -100
food O -100
and O -100
beverage O -100
experience O -100
between O -100
the O -100
two O -100
of O -100
us O -100
) O -100
and O -100
she B-ASP -100
was O -100
focused O -100
and O -100
productive O -100
, O -100
but O -100
most O -100
importantly O -100
, O -100
she B-ASP Positive
was O -100
ATTENTIVE O -100
! O -100
Give O -100
this O -100
girl O -100
a O -100
raise O -100
! O -100
! O -100

I O -100
loved O -100
everything O -100
about O -100
this O -100
place O -100
. O -100
I O -100
' O -100
ve O -100
only O -100
been O -100
once O -100
but O -100
I O -100
keep O -100
meaning O -100
to O -100
go O -100
back O -100
as O -100
it O -100
was O -100
so O -100
great O -100
( O -100
just O -100
a O -100
bit O -100
out O -100
of O -100
my O -100
way O -100
) O -100
. O -100
I O -100
went O -100
with O -100
a O -100
fairly O -100
large O -100
group O -100
so O -100
we O -100
' O -100
d O -100
all O -100
ordered O -100
something O -100
different O -100
( O -100
back O -100
when O -100
it O -100
was O -100
$ O -100
6 O -100
for O -100
everything O -100
, O -100
it O -100
looks O -100
like O -100
they O -100
' O -100
ve O -100
changed O -100
that O -100
now O -100
) O -100
. O -100
At O -100
the O -100
time O -100
I O -100
got O -100
the O -100
chickpea B-ASP Positive
fries I-ASP Positive
, O -100
which O -100
were O -100
delicious O -100
but O -100
watch O -100
out O -100
for O -100
the O -100
fiber O -100
because O -100
I O -100
had O -100
to O -100
sit O -100
out O -100
of O -100
an O -100
entire O -100
board O -100
game O -100
. O -100
The O -100
board O -100
game O -100
selection O -100
was O -100
great O -100
, O -100
and O -100
I O -100
love O -100
that O -100
they O -100
serve O -100
mead O -100
( O -100
though O -100
I O -100
didn O -100
' O -100
t O -100
get O -100
any O -100
at O -100
12 O -100
pm O -100
haha O -100
) O -100
. O -100
The O -100
molten O -100
lava O -100
chocolate O -100
cake B-ASP -100
was O -100
so O -100
, O -100
so O -100
good O -100
. O -100
Seriously O -100
. O -100
The O -100
real O -100
topping O -100
to O -100
the O -100
experience O -100
( O -100
other O -100
than O -100
the O -100
great O -100
service B-ASP -100
and O -100
the O -100
fact O -100
that O -100
they O -100
put O -100
lemons O -100
in O -100
their O -100
complimentary O -100
ice O -100
water O -100
) O -100
was O -100
that O -100
they O -100
were O -100
playing O -100
Siouxsie O -100
and O -100
the O -100
Banshees O -100
in O -100
the O -100
background O -100
! O -100
That O -100
+ O -100
board O -100
games O -100
+ O -100
good O -100
food O -100
+ O -100
mead O -100
= O -100
I O -100
' O -100
m O -100
a O -100
fan O -100
forever O -100
. O -100

I O -100
loved O -100
everything O -100
about O -100
this O -100
place O -100
. O -100
I O -100
' O -100
ve O -100
only O -100
been O -100
once O -100
but O -100
I O -100
keep O -100
meaning O -100
to O -100
go O -100
back O -100
as O -100
it O -100
was O -100
so O -100
great O -100
( O -100
just O -100
a O -100
bit O -100
out O -100
of O -100
my O -100
way O -100
) O -100
. O -100
I O -100
went O -100
with O -100
a O -100
fairly O -100
large O -100
group O -100
so O -100
we O -100
' O -100
d O -100
all O -100
ordered O -100
something O -100
different O -100
( O -100
back O -100
when O -100
it O -100
was O -100
$ O -100
6 O -100
for O -100
everything O -100
, O -100
it O -100
looks O -100
like O -100
they O -100
' O -100
ve O -100
changed O -100
that O -100
now O -100
) O -100
. O -100
At O -100
the O -100
time O -100
I O -100
got O -100
the O -100
chickpea B-ASP -100
fries I-ASP -100
, O -100
which O -100
were O -100
delicious O -100
but O -100
watch O -100
out O -100
for O -100
the O -100
fiber O -100
because O -100
I O -100
had O -100
to O -100
sit O -100
out O -100
of O -100
an O -100
entire O -100
board O -100
game O -100
. O -100
The O -100
board O -100
game O -100
selection O -100
was O -100
great O -100
, O -100
and O -100
I O -100
love O -100
that O -100
they O -100
serve O -100
mead O -100
( O -100
though O -100
I O -100
didn O -100
' O -100
t O -100
get O -100
any O -100
at O -100
12 O -100
pm O -100
haha O -100
) O -100
. O -100
The O -100
molten O -100
lava O -100
chocolate O -100
cake B-ASP Positive
was O -100
so O -100
, O -100
so O -100
good O -100
. O -100
Seriously O -100
. O -100
The O -100
real O -100
topping O -100
to O -100
the O -100
experience O -100
( O -100
other O -100
than O -100
the O -100
great O -100
service B-ASP -100
and O -100
the O -100
fact O -100
that O -100
they O -100
put O -100
lemons O -100
in O -100
their O -100
complimentary O -100
ice O -100
water O -100
) O -100
was O -100
that O -100
they O -100
were O -100
playing O -100
Siouxsie O -100
and O -100
the O -100
Banshees O -100
in O -100
the O -100
background O -100
! O -100
That O -100
+ O -100
board O -100
games O -100
+ O -100
good O -100
food O -100
+ O -100
mead O -100
= O -100
I O -100
' O -100
m O -100
a O -100
fan O -100
forever O -100
. O -100

I O -100
loved O -100
everything O -100
about O -100
this O -100
place O -100
. O -100
I O -100
' O -100
ve O -100
only O -100
been O -100
once O -100
but O -100
I O -100
keep O -100
meaning O -100
to O -100
go O -100
back O -100
as O -100
it O -100
was O -100
so O -100
great O -100
( O -100
just O -100
a O -100
bit O -100
out O -100
of O -100
my O -100
way O -100
) O -100
. O -100
I O -100
went O -100
with O -100
a O -100
fairly O -100
large O -100
group O -100
so O -100
we O -100
' O -100
d O -100
all O -100
ordered O -100
something O -100
different O -100
( O -100
back O -100
when O -100
it O -100
was O -100
$ O -100
6 O -100
for O -100
everything O -100
, O -100
it O -100
looks O -100
like O -100
they O -100
' O -100
ve O -100
changed O -100
that O -100
now O -100
) O -100
. O -100
At O -100
the O -100
time O -100
I O -100
got O -100
the O -100
chickpea B-ASP -100
fries I-ASP -100
, O -100
which O -100
were O -100
delicious O -100
but O -100
watch O -100
out O -100
for O -100
the O -100
fiber O -100
because O -100
I O -100
had O -100
to O -100
sit O -100
out O -100
of O -100
an O -100
entire O -100
board O -100
game O -100
. O -100
The O -100
board O -100
game O -100
selection O -100
was O -100
great O -100
, O -100
and O -100
I O -100
love O -100
that O -100
they O -100
serve O -100
mead O -100
( O -100
though O -100
I O -100
didn O -100
' O -100
t O -100
get O -100
any O -100
at O -100
12 O -100
pm O -100
haha O -100
) O -100
. O -100
The O -100
molten O -100
lava O -100
chocolate O -100
cake B-ASP -100
was O -100
so O -100
, O -100
so O -100
good O -100
. O -100
Seriously O -100
. O -100
The O -100
real O -100
topping O -100
to O -100
the O -100
experience O -100
( O -100
other O -100
than O -100
the O -100
great O -100
service B-ASP Positive
and O -100
the O -100
fact O -100
that O -100
they O -100
put O -100
lemons O -100
in O -100
their O -100
complimentary O -100
ice O -100
water O -100
) O -100
was O -100
that O -100
they O -100
were O -100
playing O -100
Siouxsie O -100
and O -100
the O -100
Banshees O -100
in O -100
the O -100
background O -100
! O -100
That O -100
+ O -100
board O -100
games O -100
+ O -100
good O -100
food O -100
+ O -100
mead O -100
= O -100
I O -100
' O -100
m O -100
a O -100
fan O -100
forever O -100
. O -100

Great O -100
coffee B-ASP Positive
and O -100
pastries B-ASP -100
. O -100
Baristas B-ASP -100
are O -100
excellent O -100
. O -100
All O -100
the O -100
other O -100
staff B-ASP -100
are O -100
sooooo O -100
lost O -100
and O -100
vacant O -100
. O -100

Great O -100
coffee B-ASP -100
and O -100
pastries B-ASP Positive
. O -100
Baristas B-ASP -100
are O -100
excellent O -100
. O -100
All O -100
the O -100
other O -100
staff B-ASP -100
are O -100
sooooo O -100
lost O -100
and O -100
vacant O -100
. O -100

Great O -100
coffee B-ASP -100
and O -100
pastries B-ASP -100
. O -100
Baristas B-ASP Positive
are O -100
excellent O -100
. O -100
All O -100
the O -100
other O -100
staff B-ASP -100
are O -100
sooooo O -100
lost O -100
and O -100
vacant O -100
. O -100

Great O -100
coffee B-ASP -100
and O -100
pastries B-ASP -100
. O -100
Baristas B-ASP -100
are O -100
excellent O -100
. O -100
All O -100
the O -100
other O -100
staff B-ASP Negative
are O -100
sooooo O -100
lost O -100
and O -100
vacant O -100
. O -100

Definitely O -100
5 O -100
stars O -100
for O -100
the O -100
donuts B-ASP Positive
. O -100
Our O -100
family O -100
has O -100
been O -100
coming O -100
to O -100
Dandy O -100
Donuts O -100
for O -100
years O -100
! O -100
Their O -100
donuts O -100
can O -100
' O -100
t O -100
be O -100
beat O -100
and O -100
are O -100
a O -100
must O -100
try O -100
. O -100
The O -100
same O -100
Cambodian O -100
family O -100
has O -100
owned O -100
this O -100
shop O -100
for O -100
years O -100
. O -100
They B-ASP -100
are O -100
kind O -100
, O -100
hard O -100
working O -100
folks O -100
that O -100
put O -100
out O -100
a O -100
consistently O -100
fresh O -100
and O -100
delicious O -100
line O -100
of O -100
donuts O -100
as O -100
well O -100
as O -100
croissants O -100
and O -100
apple O -100
fritters O -100
their O -100
customers O -100
love O -100
. O -100
Subs O -100
are O -100
also O -100
good O -100
. O -100
I O -100
notice O -100
they O -100
' O -100
ve O -100
added O -100
a O -100
new O -100
low O -100
price O -100
lunch B-ASP -100
special I-ASP -100
of O -100
hot O -100
dog O -100
, O -100
chips O -100
and O -100
drink O -100
. O -100
The O -100
surroundings O -100
are O -100
definitely O -100
" O -100
hole O -100
in O -100
the O -100
wall O -100
" O -100
, O -100
but O -100
go O -100
and O -100
try O -100
the O -100
donuts O -100
. O -100

Definitely O -100
5 O -100
stars O -100
for O -100
the O -100
donuts B-ASP -100
. O -100
Our O -100
family O -100
has O -100
been O -100
coming O -100
to O -100
Dandy O -100
Donuts O -100
for O -100
years O -100
! O -100
Their O -100
donuts O -100
can O -100
' O -100
t O -100
be O -100
beat O -100
and O -100
are O -100
a O -100
must O -100
try O -100
. O -100
The O -100
same O -100
Cambodian O -100
family O -100
has O -100
owned O -100
this O -100
shop O -100
for O -100
years O -100
. O -100
They B-ASP Positive
are O -100
kind O -100
, O -100
hard O -100
working O -100
folks O -100
that O -100
put O -100
out O -100
a O -100
consistently O -100
fresh O -100
and O -100
delicious O -100
line O -100
of O -100
donuts O -100
as O -100
well O -100
as O -100
croissants O -100
and O -100
apple O -100
fritters O -100
their O -100
customers O -100
love O -100
. O -100
Subs O -100
are O -100
also O -100
good O -100
. O -100
I O -100
notice O -100
they O -100
' O -100
ve O -100
added O -100
a O -100
new O -100
low O -100
price O -100
lunch B-ASP -100
special I-ASP -100
of O -100
hot O -100
dog O -100
, O -100
chips O -100
and O -100
drink O -100
. O -100
The O -100
surroundings O -100
are O -100
definitely O -100
" O -100
hole O -100
in O -100
the O -100
wall O -100
" O -100
, O -100
but O -100
go O -100
and O -100
try O -100
the O -100
donuts O -100
. O -100

Definitely O -100
5 O -100
stars O -100
for O -100
the O -100
donuts B-ASP -100
. O -100
Our O -100
family O -100
has O -100
been O -100
coming O -100
to O -100
Dandy O -100
Donuts O -100
for O -100
years O -100
! O -100
Their O -100
donuts O -100
can O -100
' O -100
t O -100
be O -100
beat O -100
and O -100
are O -100
a O -100
must O -100
try O -100
. O -100
The O -100
same O -100
Cambodian O -100
family O -100
has O -100
owned O -100
this O -100
shop O -100
for O -100
years O -100
. O -100
They B-ASP -100
are O -100
kind O -100
, O -100
hard O -100
working O -100
folks O -100
that O -100
put O -100
out O -100
a O -100
consistently O -100
fresh O -100
and O -100
delicious O -100
line O -100
of O -100
donuts O -100
as O -100
well O -100
as O -100
croissants O -100
and O -100
apple O -100
fritters O -100
their O -100
customers O -100
love O -100
. O -100
Subs O -100
are O -100
also O -100
good O -100
. O -100
I O -100
notice O -100
they O -100
' O -100
ve O -100
added O -100
a O -100
new O -100
low O -100
price O -100
lunch B-ASP Positive
special I-ASP Positive
of O -100
hot O -100
dog O -100
, O -100
chips O -100
and O -100
drink O -100
. O -100
The O -100
surroundings O -100
are O -100
definitely O -100
" O -100
hole O -100
in O -100
the O -100
wall O -100
" O -100
, O -100
but O -100
go O -100
and O -100
try O -100
the O -100
donuts O -100
. O -100

I O -100
think O -100
their O -100
rice O -100
dishes O -100
are O -100
way O -100
better O -100
than O -100
their O -100
Pho O -100
' O -100
s O -100
. O -100
Also O -100
I O -100
really O -100
like O -100
their O -100
sandwiches B-ASP Positive
and O -100
spring B-ASP -100
rolls I-ASP -100
. O -100
I O -100
took O -100
a O -100
friend O -100
who O -100
haven O -100
' O -100
t O -100
had O -100
viennese O -100
food O -100
ever O -100
. O -100
He O -100
absolutely O -100
love O -100
it O -100
. O -100

I O -100
think O -100
their O -100
rice O -100
dishes O -100
are O -100
way O -100
better O -100
than O -100
their O -100
Pho O -100
' O -100
s O -100
. O -100
Also O -100
I O -100
really O -100
like O -100
their O -100
sandwiches B-ASP -100
and O -100
spring B-ASP Positive
rolls I-ASP Positive
. O -100
I O -100
took O -100
a O -100
friend O -100
who O -100
haven O -100
' O -100
t O -100
had O -100
viennese O -100
food O -100
ever O -100
. O -100
He O -100
absolutely O -100
love O -100
it O -100
. O -100

Ordered O -100
the O -100
original O -100
tonkotsu O -100
base O -100
ramen O -100
and O -100
a O -100
char O -100
siu O -100
don O -100
for O -100
my O -100
2 O -100
year O -100
old O -100
. O -100
Loved O -100
the O -100
soup B-ASP Positive
base O -100
but O -100
especially O -100
loved O -100
the O -100
size B-ASP -100
of O -100
the O -100
bowl O -100
. O -100
. O -100
. O -100
unlike O -100
most O -100
ramen O -100
place O -100
, O -100
the O -100
size O -100
of O -100
the O -100
bowl O -100
reflected O -100
the O -100
quantity O -100
of O -100
the O -100
content O -100
in O -100
it O -100
. O -100
Totally O -100
looking O -100
forward O -100
to O -100
going O -100
back O -100
so O -100
I O -100
can O -100
customize O -100
my O -100
next O -100
bowl O -100
of O -100
ramen O -100
. O -100
. O -100
. O -100
will O -100
select O -100
thicker O -100
noodle O -100
for O -100
sure O -100
and O -100
perhaps O -100
add O -100
more O -100
ramen O -100
! O -100
Fabulous O -100
service B-ASP -100
and O -100
loved O -100
that O -100
they O -100
had O -100
a O -100
sign O -100
advising O -100
ppl O -100
to O -100
come O -100
in O -100
, O -100
write O -100
down O -100
name O -100
then O -100
wait O -100
outside O -100
, O -100
so O -100
not O -100
to O -100
clog O -100
the O -100
entrance O -100
/ O -100
exit O -100
. O -100
Great O -100
ramen O -100
place O -100
, O -100
but O -100
won O -100
' O -100
t O -100
go O -100
with O -100
a O -100
group O -100
larger O -100
than O -100
4 O -100
ppl O -100
. O -100
Heads O -100
up O -100
, O -100
there O -100
was O -100
only O -100
one O -100
high O -100
chair O -100
. O -100

Ordered O -100
the O -100
original O -100
tonkotsu O -100
base O -100
ramen O -100
and O -100
a O -100
char O -100
siu O -100
don O -100
for O -100
my O -100
2 O -100
year O -100
old O -100
. O -100
Loved O -100
the O -100
soup B-ASP -100
base O -100
but O -100
especially O -100
loved O -100
the O -100
size B-ASP Positive
of O -100
the O -100
bowl O -100
. O -100
. O -100
. O -100
unlike O -100
most O -100
ramen O -100
place O -100
, O -100
the O -100
size O -100
of O -100
the O -100
bowl O -100
reflected O -100
the O -100
quantity O -100
of O -100
the O -100
content O -100
in O -100
it O -100
. O -100
Totally O -100
looking O -100
forward O -100
to O -100
going O -100
back O -100
so O -100
I O -100
can O -100
customize O -100
my O -100
next O -100
bowl O -100
of O -100
ramen O -100
. O -100
. O -100
. O -100
will O -100
select O -100
thicker O -100
noodle O -100
for O -100
sure O -100
and O -100
perhaps O -100
add O -100
more O -100
ramen O -100
! O -100
Fabulous O -100
service B-ASP -100
and O -100
loved O -100
that O -100
they O -100
had O -100
a O -100
sign O -100
advising O -100
ppl O -100
to O -100
come O -100
in O -100
, O -100
write O -100
down O -100
name O -100
then O -100
wait O -100
outside O -100
, O -100
so O -100
not O -100
to O -100
clog O -100
the O -100
entrance O -100
/ O -100
exit O -100
. O -100
Great O -100
ramen O -100
place O -100
, O -100
but O -100
won O -100
' O -100
t O -100
go O -100
with O -100
a O -100
group O -100
larger O -100
than O -100
4 O -100
ppl O -100
. O -100
Heads O -100
up O -100
, O -100
there O -100
was O -100
only O -100
one O -100
high O -100
chair O -100
. O -100

Ordered O -100
the O -100
original O -100
tonkotsu O -100
base O -100
ramen O -100
and O -100
a O -100
char O -100
siu O -100
don O -100
for O -100
my O -100
2 O -100
year O -100
old O -100
. O -100
Loved O -100
the O -100
soup B-ASP -100
base O -100
but O -100
especially O -100
loved O -100
the O -100
size B-ASP -100
of O -100
the O -100
bowl O -100
. O -100
. O -100
. O -100
unlike O -100
most O -100
ramen O -100
place O -100
, O -100
the O -100
size O -100
of O -100
the O -100
bowl O -100
reflected O -100
the O -100
quantity O -100
of O -100
the O -100
content O -100
in O -100
it O -100
. O -100
Totally O -100
looking O -100
forward O -100
to O -100
going O -100
back O -100
so O -100
I O -100
can O -100
customize O -100
my O -100
next O -100
bowl O -100
of O -100
ramen O -100
. O -100
. O -100
. O -100
will O -100
select O -100
thicker O -100
noodle O -100
for O -100
sure O -100
and O -100
perhaps O -100
add O -100
more O -100
ramen O -100
! O -100
Fabulous O -100
service B-ASP Positive
and O -100
loved O -100
that O -100
they O -100
had O -100
a O -100
sign O -100
advising O -100
ppl O -100
to O -100
come O -100
in O -100
, O -100
write O -100
down O -100
name O -100
then O -100
wait O -100
outside O -100
, O -100
so O -100
not O -100
to O -100
clog O -100
the O -100
entrance O -100
/ O -100
exit O -100
. O -100
Great O -100
ramen O -100
place O -100
, O -100
but O -100
won O -100
' O -100
t O -100
go O -100
with O -100
a O -100
group O -100
larger O -100
than O -100
4 O -100
ppl O -100
. O -100
Heads O -100
up O -100
, O -100
there O -100
was O -100
only O -100
one O -100
high O -100
chair O -100
. O -100

Almost O -100
desolate O -100
restaurant O -100
and O -100
dingy O -100
evironment B-ASP Negative
. O -100
That O -100
' O -100
s O -100
a O -100
star O -100
. O -100
Decieving O -100
lunch O -100
menu O -100
. O -100
( O -100
claimed O -100
dishes O -100
were O -100
550 O -100
before O -100
3 O -100
on O -100
Saturdays O -100
and O -100
was O -100
still O -100
charged B-ASP -100
$ O -100
2 O -100
more O -100
) O -100
That O -100
' O -100
s O -100
a O -100
star O -100
. O -100
Congealed O -100
beef O -100
soup O -100
. O -100
That O -100
' O -100
s O -100
a O -100
star O -100
. O -100
Friend O -100
' O -100
s O -100
dish O -100
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come B-ASP -100
for O -100
30 O -100
minutes O -100
after O -100
I O -100
got O -100
mine O -100
and O -100
he O -100
didn O -100
' O -100
t O -100
get O -100
the O -100
soup O -100
that O -100
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with O -100
it O -100
. O -100
That O -100
' O -100
s O -100
a O -100
star O -100
. O -100
Asked B-ASP -100
for O -100
water O -100
5 O -100
times O -100
and O -100
didn O -100
' O -100
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get O -100
of O -100
until B-ASP -100
right O -100
before O -100
the O -100
bill O -100
came O -100
. O -100
That O -100
' O -100
s O -100
a O -100
star O -100
. O -100
Welp O -100
, O -100
I O -100
seem O -100
to O -100
be O -100
out O -100
of O -100
stars O -100
! O -100
Whoopsie O -100
Daisy O -100
! O -100
I O -100
wanted O -100
to O -100
be O -100
more O -100
forgiving O -100
since O -100
the O -100
waitress O -100
was O -100
new O -100
but O -100
even O -100
the O -100
manager B-ASP -100
who O -100
stepped O -100
in O -100
for O -100
her O -100
was O -100
screwing O -100
up O -100
. O -100
And O -100
it O -100
doesn O -100
' O -100
t O -100
excuse O -100
the O -100
mediocre O -100
food O -100
. O -100

Almost O -100
desolate O -100
restaurant O -100
and O -100
dingy O -100
evironment B-ASP -100
. O -100
That O -100
' O -100
s O -100
a O -100
star O -100
. O -100
Decieving O -100
lunch O -100
menu O -100
. O -100
( O -100
claimed O -100
dishes O -100
were O -100
550 O -100
before O -100
3 O -100
on O -100
Saturdays O -100
and O -100
was O -100
still O -100
charged B-ASP Negative
$ O -100
2 O -100
more O -100
) O -100
That O -100
' O -100
s O -100
a O -100
star O -100
. O -100
Congealed O -100
beef O -100
soup O -100
. O -100
That O -100
' O -100
s O -100
a O -100
star O -100
. O -100
Friend O -100
' O -100
s O -100
dish O -100
didn O -100
' O -100
t O -100
come B-ASP -100
for O -100
30 O -100
minutes O -100
after O -100
I O -100
got O -100
mine O -100
and O -100
he O -100
didn O -100
' O -100
t O -100
get O -100
the O -100
soup O -100
that O -100
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with O -100
it O -100
. O -100
That O -100
' O -100
s O -100
a O -100
star O -100
. O -100
Asked B-ASP -100
for O -100
water O -100
5 O -100
times O -100
and O -100
didn O -100
' O -100
t O -100
get O -100
of O -100
until B-ASP -100
right O -100
before O -100
the O -100
bill O -100
came O -100
. O -100
That O -100
' O -100
s O -100
a O -100
star O -100
. O -100
Welp O -100
, O -100
I O -100
seem O -100
to O -100
be O -100
out O -100
of O -100
stars O -100
! O -100
Whoopsie O -100
Daisy O -100
! O -100
I O -100
wanted O -100
to O -100
be O -100
more O -100
forgiving O -100
since O -100
the O -100
waitress O -100
was O -100
new O -100
but O -100
even O -100
the O -100
manager B-ASP -100
who O -100
stepped O -100
in O -100
for O -100
her O -100
was O -100
screwing O -100
up O -100
. O -100
And O -100
it O -100
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' O -100
t O -100
excuse O -100
the O -100
mediocre O -100
food O -100
. O -100

Almost O -100
desolate O -100
restaurant O -100
and O -100
dingy O -100
evironment B-ASP -100
. O -100
That O -100
' O -100
s O -100
a O -100
star O -100
. O -100
Decieving O -100
lunch O -100
menu O -100
. O -100
( O -100
claimed O -100
dishes O -100
were O -100
550 O -100
before O -100
3 O -100
on O -100
Saturdays O -100
and O -100
was O -100
still O -100
charged B-ASP -100
$ O -100
2 O -100
more O -100
) O -100
That O -100
' O -100
s O -100
a O -100
star O -100
. O -100
Congealed O -100
beef O -100
soup O -100
. O -100
That O -100
' O -100
s O -100
a O -100
star O -100
. O -100
Friend O -100
' O -100
s O -100
dish O -100
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' O -100
t O -100
come B-ASP Negative
for O -100
30 O -100
minutes O -100
after O -100
I O -100
got O -100
mine O -100
and O -100
he O -100
didn O -100
' O -100
t O -100
get O -100
the O -100
soup O -100
that O -100
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it O -100
. O -100
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' O -100
s O -100
a O -100
star O -100
. O -100
Asked B-ASP -100
for O -100
water O -100
5 O -100
times O -100
and O -100
didn O -100
' O -100
t O -100
get O -100
of O -100
until B-ASP -100
right O -100
before O -100
the O -100
bill O -100
came O -100
. O -100
That O -100
' O -100
s O -100
a O -100
star O -100
. O -100
Welp O -100
, O -100
I O -100
seem O -100
to O -100
be O -100
out O -100
of O -100
stars O -100
! O -100
Whoopsie O -100
Daisy O -100
! O -100
I O -100
wanted O -100
to O -100
be O -100
more O -100
forgiving O -100
since O -100
the O -100
waitress O -100
was O -100
new O -100
but O -100
even O -100
the O -100
manager B-ASP -100
who O -100
stepped O -100
in O -100
for O -100
her O -100
was O -100
screwing O -100
up O -100
. O -100
And O -100
it O -100
doesn O -100
' O -100
t O -100
excuse O -100
the O -100
mediocre O -100
food O -100
. O -100

Almost O -100
desolate O -100
restaurant O -100
and O -100
dingy O -100
evironment B-ASP -100
. O -100
That O -100
' O -100
s O -100
a O -100
star O -100
. O -100
Decieving O -100
lunch O -100
menu O -100
. O -100
( O -100
claimed O -100
dishes O -100
were O -100
550 O -100
before O -100
3 O -100
on O -100
Saturdays O -100
and O -100
was O -100
still O -100
charged B-ASP -100
$ O -100
2 O -100
more O -100
) O -100
That O -100
' O -100
s O -100
a O -100
star O -100
. O -100
Congealed O -100
beef O -100
soup O -100
. O -100
That O -100
' O -100
s O -100
a O -100
star O -100
. O -100
Friend O -100
' O -100
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dish O -100
didn O -100
' O -100
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come B-ASP -100
for O -100
30 O -100
minutes O -100
after O -100
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got O -100
mine O -100
and O -100
he O -100
didn O -100
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t O -100
get O -100
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soup O -100
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it O -100
. O -100
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' O -100
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for O -100
water O -100
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and O -100
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of O -100
until B-ASP -100
right O -100
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the O -100
bill O -100
came O -100
. O -100
That O -100
' O -100
s O -100
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. O -100
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, O -100
I O -100
seem O -100
to O -100
be O -100
out O -100
of O -100
stars O -100
! O -100
Whoopsie O -100
Daisy O -100
! O -100
I O -100
wanted O -100
to O -100
be O -100
more O -100
forgiving O -100
since O -100
the O -100
waitress O -100
was O -100
new O -100
but O -100
even O -100
the O -100
manager B-ASP -100
who O -100
stepped O -100
in O -100
for O -100
her O -100
was O -100
screwing O -100
up O -100
. O -100
And O -100
it O -100
doesn O -100
' O -100
t O -100
excuse O -100
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mediocre O -100
food O -100
. O -100

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desolate O -100
restaurant O -100
and O -100
dingy O -100
evironment B-ASP -100
. O -100
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' O -100
s O -100
a O -100
star O -100
. O -100
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lunch O -100
menu O -100
. O -100
( O -100
claimed O -100
dishes O -100
were O -100
550 O -100
before O -100
3 O -100
on O -100
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and O -100
was O -100
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charged B-ASP -100
$ O -100
2 O -100
more O -100
) O -100
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' O -100
s O -100
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. O -100
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soup O -100
. O -100
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' O -100
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. O -100
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come B-ASP -100
for O -100
30 O -100
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mine O -100
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get O -100
the O -100
soup O -100
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Asked B-ASP -100
for O -100
water O -100
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and O -100
didn O -100
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of O -100
until B-ASP Negative
right O -100
before O -100
the O -100
bill O -100
came O -100
. O -100
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' O -100
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. O -100
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, O -100
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to O -100
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of O -100
stars O -100
! O -100
Whoopsie O -100
Daisy O -100
! O -100
I O -100
wanted O -100
to O -100
be O -100
more O -100
forgiving O -100
since O -100
the O -100
waitress O -100
was O -100
new O -100
but O -100
even O -100
the O -100
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who O -100
stepped O -100
in O -100
for O -100
her O -100
was O -100
screwing O -100
up O -100
. O -100
And O -100
it O -100
doesn O -100
' O -100
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mediocre O -100
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. O -100

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desolate O -100
restaurant O -100
and O -100
dingy O -100
evironment B-ASP -100
. O -100
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' O -100
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a O -100
star O -100
. O -100
Decieving O -100
lunch O -100
menu O -100
. O -100
( O -100
claimed O -100
dishes O -100
were O -100
550 O -100
before O -100
3 O -100
on O -100
Saturdays O -100
and O -100
was O -100
still O -100
charged B-ASP -100
$ O -100
2 O -100
more O -100
) O -100
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' O -100
s O -100
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. O -100
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. O -100
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' O -100
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a O -100
star O -100
. O -100
Friend O -100
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come B-ASP -100
for O -100
30 O -100
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mine O -100
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Asked B-ASP -100
for O -100
water O -100
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times O -100
and O -100
didn O -100
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of O -100
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right O -100
before O -100
the O -100
bill O -100
came O -100
. O -100
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' O -100
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, O -100
I O -100
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to O -100
be O -100
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Daisy O -100
! O -100
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wanted O -100
to O -100
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more O -100
forgiving O -100
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was O -100
new O -100
but O -100
even O -100
the O -100
manager B-ASP Negative
who O -100
stepped O -100
in O -100
for O -100
her O -100
was O -100
screwing O -100
up O -100
. O -100
And O -100
it O -100
doesn O -100
' O -100
t O -100
excuse O -100
the O -100
mediocre O -100
food O -100
. O -100

This O -100
place O -100
is O -100
truly O -100
a O -100
hidden O -100
gem O -100
( O -100
literally O -100
hidden O -100
as O -100
you O -100
have O -100
to O -100
walk O -100
through O -100
a O -100
Chinese O -100
restaurant O -100
to O -100
get O -100
there O -100
) O -100
. O -100
The O -100
place B-ASP Positive
is O -100
small O -100
, O -100
cozy O -100
, O -100
and O -100
charming O -100
inside O -100
. O -100
And O -100
the O -100
food B-ASP -100
is O -100
better O -100
than O -100
what O -100
you O -100
might O -100
find O -100
in O -100
the O -100
north O -100
end O -100
. O -100
The O -100
service B-ASP -100
is O -100
great O -100
and O -100
the O -100
servers O -100
do O -100
a O -100
great O -100
job O -100
at O -100
pronouncing O -100
the O -100
specials O -100
to O -100
you O -100
like O -100
a O -100
true O -100
Italian O -100
! O -100
Make O -100
sure O -100
you O -100
make O -100
a O -100
reservation B-ASP -100
as O -100
it O -100
does O -100
book O -100
up O -100
rather O -100
quickly O -100
. O -100

This O -100
place O -100
is O -100
truly O -100
a O -100
hidden O -100
gem O -100
( O -100
literally O -100
hidden O -100
as O -100
you O -100
have O -100
to O -100
walk O -100
through O -100
a O -100
Chinese O -100
restaurant O -100
to O -100
get O -100
there O -100
) O -100
. O -100
The O -100
place B-ASP -100
is O -100
small O -100
, O -100
cozy O -100
, O -100
and O -100
charming O -100
inside O -100
. O -100
And O -100
the O -100
food B-ASP Positive
is O -100
better O -100
than O -100
what O -100
you O -100
might O -100
find O -100
in O -100
the O -100
north O -100
end O -100
. O -100
The O -100
service B-ASP -100
is O -100
great O -100
and O -100
the O -100
servers O -100
do O -100
a O -100
great O -100
job O -100
at O -100
pronouncing O -100
the O -100
specials O -100
to O -100
you O -100
like O -100
a O -100
true O -100
Italian O -100
! O -100
Make O -100
sure O -100
you O -100
make O -100
a O -100
reservation B-ASP -100
as O -100
it O -100
does O -100
book O -100
up O -100
rather O -100
quickly O -100
. O -100

This O -100
place O -100
is O -100
truly O -100
a O -100
hidden O -100
gem O -100
( O -100
literally O -100
hidden O -100
as O -100
you O -100
have O -100
to O -100
walk O -100
through O -100
a O -100
Chinese O -100
restaurant O -100
to O -100
get O -100
there O -100
) O -100
. O -100
The O -100
place B-ASP -100
is O -100
small O -100
, O -100
cozy O -100
, O -100
and O -100
charming O -100
inside O -100
. O -100
And O -100
the O -100
food B-ASP -100
is O -100
better O -100
than O -100
what O -100
you O -100
might O -100
find O -100
in O -100
the O -100
north O -100
end O -100
. O -100
The O -100
service B-ASP Positive
is O -100
great O -100
and O -100
the O -100
servers O -100
do O -100
a O -100
great O -100
job O -100
at O -100
pronouncing O -100
the O -100
specials O -100
to O -100
you O -100
like O -100
a O -100
true O -100
Italian O -100
! O -100
Make O -100
sure O -100
you O -100
make O -100
a O -100
reservation B-ASP -100
as O -100
it O -100
does O -100
book O -100
up O -100
rather O -100
quickly O -100
. O -100

This O -100
place O -100
is O -100
truly O -100
a O -100
hidden O -100
gem O -100
( O -100
literally O -100
hidden O -100
as O -100
you O -100
have O -100
to O -100
walk O -100
through O -100
a O -100
Chinese O -100
restaurant O -100
to O -100
get O -100
there O -100
) O -100
. O -100
The O -100
place B-ASP -100
is O -100
small O -100
, O -100
cozy O -100
, O -100
and O -100
charming O -100
inside O -100
. O -100
And O -100
the O -100
food B-ASP -100
is O -100
better O -100
than O -100
what O -100
you O -100
might O -100
find O -100
in O -100
the O -100
north O -100
end O -100
. O -100
The O -100
service B-ASP -100
is O -100
great O -100
and O -100
the O -100
servers O -100
do O -100
a O -100
great O -100
job O -100
at O -100
pronouncing O -100
the O -100
specials O -100
to O -100
you O -100
like O -100
a O -100
true O -100
Italian O -100
! O -100
Make O -100
sure O -100
you O -100
make O -100
a O -100
reservation B-ASP Neutral
as O -100
it O -100
does O -100
book O -100
up O -100
rather O -100
quickly O -100
. O -100

3 O -100
. O -100
5 O -100
stars O -100
! O -100
I O -100
got O -100
the O -100
avocado O -100
margarita B-ASP Positive
and O -100
it O -100
was O -100
delicious O -100
! O -100
Customer O -100
service B-ASP -100
was O -100
OK O -100
, O -100
but O -100
they O -100
were O -100
busy O -100
. O -100
The O -100
food B-ASP -100
was O -100
better O -100
than O -100
expected O -100
and O -100
the O -100
meat O -100
wasn O -100
' O -100
t O -100
overly O -100
salty O -100
. O -100
I O -100
will O -100
definitely O -100
return O -100
! O -100
! O -100
! O -100

3 O -100
. O -100
5 O -100
stars O -100
! O -100
I O -100
got O -100
the O -100
avocado O -100
margarita B-ASP -100
and O -100
it O -100
was O -100
delicious O -100
! O -100
Customer O -100
service B-ASP Neutral
was O -100
OK O -100
, O -100
but O -100
they O -100
were O -100
busy O -100
. O -100
The O -100
food B-ASP -100
was O -100
better O -100
than O -100
expected O -100
and O -100
the O -100
meat O -100
wasn O -100
' O -100
t O -100
overly O -100
salty O -100
. O -100
I O -100
will O -100
definitely O -100
return O -100
! O -100
! O -100
! O -100

3 O -100
. O -100
5 O -100
stars O -100
! O -100
I O -100
got O -100
the O -100
avocado O -100
margarita B-ASP -100
and O -100
it O -100
was O -100
delicious O -100
! O -100
Customer O -100
service B-ASP -100
was O -100
OK O -100
, O -100
but O -100
they O -100
were O -100
busy O -100
. O -100
The O -100
food B-ASP Positive
was O -100
better O -100
than O -100
expected O -100
and O -100
the O -100
meat O -100
wasn O -100
' O -100
t O -100
overly O -100
salty O -100
. O -100
I O -100
will O -100
definitely O -100
return O -100
! O -100
! O -100
! O -100

I O -100
love O -100
ale O -100
house O -100
. O -100
I O -100
' O -100
m O -100
here O -100
all O -100
the O -100
time O -100
. O -100
The O -100
1 O -100
star O -100
isn O -100
' O -100
t O -100
for O -100
the O -100
place O -100
or O -100
for O -100
the O -100
service O -100
. O -100
The O -100
1 O -100
star O -100
is O -100
for O -100
the O -100
management B-ASP Negative
. O -100
You O -100
give O -100
absolutely O -100
zero O -100
respect O -100
to O -100
the O -100
game O -100
of O -100
soccer O -100
. O -100
I O -100
' O -100
ve O -100
been O -100
coming O -100
here O -100
since O -100
you O -100
opened O -100
and O -100
I O -100
' O -100
ve O -100
seen O -100
numerous O -100
times O -100
where O -100
you O -100
understaff O -100
for O -100
finals O -100
of O -100
tournaments O -100
where O -100
years O -100
past O -100
have O -100
shown O -100
you O -100
will O -100
be O -100
at O -100
capacity O -100
. O -100
It O -100
' O -100
s O -100
a O -100
shame O -100
you O -100
have O -100
a O -100
great O -100
establishment O -100
and O -100
great O -100
employees O -100
. O -100
If O -100
only O -100
management O -100
could O -100
sort O -100
it O -100
out O -100
this O -100
place O -100
would O -100
be O -100
5 O -100
stars O -100

This O -100
has O -100
not O -100
been O -100
a O -100
pleasant O -100
experience O -100
. O -100
According O -100
to O -100
our O -100
server O -100
, O -100
the O -100
restaurant O -100
is O -100
short O -100
on O -100
staff O -100
. O -100
This O -100
means O -100
our O -100
service B-ASP Negative
has O -100
been O -100
frightfully O -100
slow O -100
. O -100
We O -100
have O -100
been O -100
here O -100
over O -100
an O -100
hour B-ASP -100
with O -100
receiving O -100
our O -100
food O -100
. O -100
Most O -100
of O -100
the O -100
food B-ASP -100
was O -100
good O -100
, O -100
except O -100
for O -100
the O -100
steak B-ASP -100
that O -100
was O -100
tough O -100
. O -100
This O -100
is O -100
a O -100
trendy O -100
place O -100
. O -100
Great O -100
spot O -100
to O -100
be O -100
seen O -100
. O -100
Food B-ASP -100
is O -100
just O -100
okay O -100
. O -100

This O -100
has O -100
not O -100
been O -100
a O -100
pleasant O -100
experience O -100
. O -100
According O -100
to O -100
our O -100
server O -100
, O -100
the O -100
restaurant O -100
is O -100
short O -100
on O -100
staff O -100
. O -100
This O -100
means O -100
our O -100
service B-ASP -100
has O -100
been O -100
frightfully O -100
slow O -100
. O -100
We O -100
have O -100
been O -100
here O -100
over O -100
an O -100
hour B-ASP Negative
with O -100
receiving O -100
our O -100
food O -100
. O -100
Most O -100
of O -100
the O -100
food B-ASP -100
was O -100
good O -100
, O -100
except O -100
for O -100
the O -100
steak B-ASP -100
that O -100
was O -100
tough O -100
. O -100
This O -100
is O -100
a O -100
trendy O -100
place O -100
. O -100
Great O -100
spot O -100
to O -100
be O -100
seen O -100
. O -100
Food B-ASP -100
is O -100
just O -100
okay O -100
. O -100

This O -100
has O -100
not O -100
been O -100
a O -100
pleasant O -100
experience O -100
. O -100
According O -100
to O -100
our O -100
server O -100
, O -100
the O -100
restaurant O -100
is O -100
short O -100
on O -100
staff O -100
. O -100
This O -100
means O -100
our O -100
service B-ASP -100
has O -100
been O -100
frightfully O -100
slow O -100
. O -100
We O -100
have O -100
been O -100
here O -100
over O -100
an O -100
hour B-ASP -100
with O -100
receiving O -100
our O -100
food O -100
. O -100
Most O -100
of O -100
the O -100
food B-ASP Positive
was O -100
good O -100
, O -100
except O -100
for O -100
the O -100
steak B-ASP -100
that O -100
was O -100
tough O -100
. O -100
This O -100
is O -100
a O -100
trendy O -100
place O -100
. O -100
Great O -100
spot O -100
to O -100
be O -100
seen O -100
. O -100
Food B-ASP -100
is O -100
just O -100
okay O -100
. O -100

This O -100
has O -100
not O -100
been O -100
a O -100
pleasant O -100
experience O -100
. O -100
According O -100
to O -100
our O -100
server O -100
, O -100
the O -100
restaurant O -100
is O -100
short O -100
on O -100
staff O -100
. O -100
This O -100
means O -100
our O -100
service B-ASP -100
has O -100
been O -100
frightfully O -100
slow O -100
. O -100
We O -100
have O -100
been O -100
here O -100
over O -100
an O -100
hour B-ASP -100
with O -100
receiving O -100
our O -100
food O -100
. O -100
Most O -100
of O -100
the O -100
food B-ASP -100
was O -100
good O -100
, O -100
except O -100
for O -100
the O -100
steak B-ASP Negative
that O -100
was O -100
tough O -100
. O -100
This O -100
is O -100
a O -100
trendy O -100
place O -100
. O -100
Great O -100
spot O -100
to O -100
be O -100
seen O -100
. O -100
Food B-ASP -100
is O -100
just O -100
okay O -100
. O -100

This O -100
has O -100
not O -100
been O -100
a O -100
pleasant O -100
experience O -100
. O -100
According O -100
to O -100
our O -100
server O -100
, O -100
the O -100
restaurant O -100
is O -100
short O -100
on O -100
staff O -100
. O -100
This O -100
means O -100
our O -100
service B-ASP -100
has O -100
been O -100
frightfully O -100
slow O -100
. O -100
We O -100
have O -100
been O -100
here O -100
over O -100
an O -100
hour B-ASP -100
with O -100
receiving O -100
our O -100
food O -100
. O -100
Most O -100
of O -100
the O -100
food B-ASP -100
was O -100
good O -100
, O -100
except O -100
for O -100
the O -100
steak B-ASP -100
that O -100
was O -100
tough O -100
. O -100
This O -100
is O -100
a O -100
trendy O -100
place O -100
. O -100
Great O -100
spot O -100
to O -100
be O -100
seen O -100
. O -100
Food B-ASP Neutral
is O -100
just O -100
okay O -100
. O -100

A O -100
Bit O -100
Embarrassed O -100
I O -100
' O -100
m O -100
not O -100
exactly O -100
sure O -100
where O -100
to O -100
start O -100
with O -100
this O -100
update O -100
, O -100
other O -100
than O -100
saying O -100
that O -100
my O -100
intention O -100
was O -100
absolutely O -100
NOT O -100
to O -100
get O -100
my O -100
or O -100
everyone O -100
' O -100
s O -100
meal O -100
comped O -100
last O -100
night O -100
. O -100
Yes O -100
, O -100
I O -100
' O -100
m O -100
doing O -100
the O -100
Eat O -100
On O -100
$ O -100
30 O -100
Challenge O -100
. O -100
Yes O -100
, O -100
I O -100
was O -100
swayed O -100
by O -100
another O -100
Yelper O -100
to O -100
go O -100
to O -100
Rosebud O -100
, O -100
even O -100
while O -100
fully O -100
aware O -100
that O -100
I O -100
didn O -100
' O -100
t O -100
want O -100
the O -100
$ O -100
5 O -100
Mystery O -100
Monday O -100
meal O -100
( O -100
biscuits O -100
and O -100
gravy O -100
with O -100
a O -100
fried O -100
egg O -100
looked O -100
good O -100
when O -100
I O -100
saw O -100
James O -100
H O -100
. O -100
' O -100
s O -100
, O -100
Emily O -100
R O -100
. O -100
' O -100
s O -100
and O -100
Alain O -100
L O -100
. O -100
' O -100
s O -100
orders O -100
, O -100
but O -100
just O -100
not O -100
something O -100
I O -100
really O -100
like O -100
at O -100
all O -100
) O -100
so O -100
I O -100
was O -100
probably O -100
getting O -100
myself O -100
into O -100
a O -100
grossly O -100
tempting O -100
land O -100
of O -100
foodiness O -100
, O -100
given O -100
all O -100
the O -100
other O -100
things O -100
I O -100
know O -100
or O -100
think O -100
sound O -100
goody O -100
good O -100
on O -100
their O -100
menu O -100
. O -100
I O -100
went O -100
anyway O -100
! O -100
I O -100
wanted O -100
the O -100
company O -100
and O -100
I O -100
' O -100
m O -100
so O -100
used O -100
to O -100
dining O -100
out O -100
, O -100
I O -100
couldn O -100
' O -100
t O -100
resist O -100
, O -100
I O -100
suppose O -100
! O -100
! O -100
Long O -100
story O -100
short O -100
, O -100
the O -100
service B-ASP Negative
was O -100
Capital O -100
B O -100
Bad O -100
. O -100
BAD O -100
. O -100
Slow O -100
. O -100
Inattentive O -100
. O -100
As O -100
Lauren O -100
S O -100
. O -100
noted O -100
, O -100
no O -100
refills B-ASP -100
on O -100
water O -100
, O -100
plus O -100
other O -100
drinks O -100
were O -100
slow O -100
and O -100
things O -100
like O -100
James O -100
H O -100
. O -100
' O -100
s O -100
grits O -100
side O -100
and O -100
Emily O -100
R O -100
. O -100
' O -100
s O -100
fries B-ASP -100
were O -100
either O -100
forgotten O -100
( O -100
the O -100
former O -100
) O -100
or O -100
delayed O -100
and O -100
without O -100
steak O -100
sauce O -100
( O -100
the O -100
latter O -100
) O -100
. O -100
Then O -100
, O -100
the O -100
first O -100
few O -100
folks O -100
to O -100
cash O -100
out O -100
clearly O -100
asked O -100
for O -100
separate O -100
checks O -100
, O -100
fiiiiiiinally O -100
got O -100
one O -100
that O -100
was O -100
all O -100
together O -100
, O -100
had O -100
to O -100
ask O -100
for O -100
it O -100
to O -100
be O -100
corrected O -100
. O -100
. O -100
. O -100
only O -100
to O -100
find O -100
that O -100
each O -100
one O -100
had O -100
a O -100
20 O -100
% O -100
" O -100
service O -100
charge O -100
" O -100
tacked O -100
on O -100
. O -100
Huh O -100
? O -100
! O -100
We O -100
all O -100
sat O -100
in O -100
the O -100
bar O -100
area O -100
, O -100
the O -100
group O -100
just O -100
kinda O -100
grew O -100
as O -100
people O -100
filtered O -100
in O -100
, O -100
and O -100
nowhere O -100
on O -100
the O -100
menu O -100
does O -100
it O -100
mention O -100
anything O -100
about O -100
an O -100
auto O -100
add O -100
for O -100
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. O -100
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. O -100
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make O -100
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to O -100
order O -100
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great O -100
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, O -100
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. O -100
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people O -100
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make O -100
sure O -100
to O -100
order O -100
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the O -100
bar O -100
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take I-ASP -100
out B-ASP -100
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. O -100
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. O -100
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. O -100
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. O -100
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' O -100
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some O -100
of O -100
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years O -100
: O -100
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' O -100
s O -100
( O -100
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spicy O -100
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the O -100
crab O -100
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, O -100
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. O -100
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service B-ASP Positive
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great O -100
cheap O -100
drinks O -100
, O -100
while O -100
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, O -100
from O -100
plucky O -100
, O -100
yet O -100
very O -100
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bartenders O -100
. O -100
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people O -100
watching O -100
, O -100
but O -100
make O -100
sure O -100
to O -100
order O -100
from O -100
the O -100
bar O -100
side O -100
of O -100
the O -100
place O -100
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. O -100

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for O -100
lunch O -100
today O -100
. O -100
I O -100
work O -100
on O -100
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, O -100
so O -100
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. O -100
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line B-ASP Negative
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( O -100
about O -100
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for O -100
about O -100
20 O -100
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. O -100
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and O -100
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and O -100
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finished O -100
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sat O -100
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only O -100
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for O -100
three O -100
weeks O -100
they O -100
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still O -100
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the O -100
process O -100
. O -100
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is O -100
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" O -100
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through O -100
the O -100
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. O -100
" O -100
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pita O -100
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$ I-ASP -100
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today O -100
. O -100
I O -100
work O -100
on O -100
Krog O -100
Street O -100
, O -100
so O -100
figured O -100
I O -100
would O -100
give O -100
it O -100
a O -100
shot O -100
today O -100
. O -100
The O -100
line B-ASP -100
was O -100
VERY O -100
Long O -100
( O -100
about O -100
10 O -100
people O -100
deep O -100
) O -100
, O -100
which O -100
must O -100
mean O -100
it O -100
is O -100
good O -100
. O -100
I O -100
waited O -100
, O -100
and O -100
waited O -100
, O -100
and O -100
waited O -100
in O -100
line B-ASP -100
for O -100
about O -100
20 O -100
minutes O -100
. O -100
My O -100
co O -100
workers O -100
went O -100
to O -100
Fred O -100
' O -100
s O -100
and O -100
had O -100
ordered O -100
and O -100
almost O -100
finished O -100
their O -100
food O -100
by O -100
the O -100
time O -100
I O -100
sat O -100
down O -100
at O -100
a O -100
table O -100
. O -100
I O -100
stuck O -100
it O -100
out O -100
in O -100
line O -100
though O -100
. O -100
The O -100
people B-ASP Negative
behind O -100
the O -100
counter O -100
are O -100
very O -100
slow O -100
. O -100
Maybe O -100
because O -100
they O -100
have O -100
only O -100
been O -100
open O -100
for O -100
three O -100
weeks O -100
they O -100
are O -100
still O -100
working O -100
on O -100
the O -100
process O -100
. O -100
There O -100
is O -100
room O -100
for O -100
improvement O -100
on O -100
" O -100
moving O -100
orders B-ASP -100
through O -100
the O -100
line O -100
. O -100
" O -100
It O -100
' O -100
s O -100
basically O -100
like O -100
a O -100
burrito O -100
place O -100
, O -100
but O -100
Mediterranean O -100
food O -100
. O -100
I O -100
got O -100
the O -100
pita O -100
Shawarma O -100
( B-ASP -100
$ I-ASP -100
8 O -100
) O -100
which O -100
was O -100
a O -100
little O -100
pricey O -100
considering O -100
this O -100
was O -100
their O -100
smallest O -100
size O -100
. O -100
One O -100
size O -100
up O -100
is O -100
basically O -100
a O -100
Mediterranean O -100
tortilla O -100
which O -100
was O -100
$ O -100
14 O -100
. O -100
That O -100
is O -100
VERY O -100
steep O -100
vs O -100
a O -100
burrito O -100
place O -100
being O -100
about O -100
$ O -100
6 O -100
. O -100
50 O -100
or O -100
$ O -100
7 O -100
. O -100
They O -100
did O -100
a O -100
great O -100
job O -100
loading O -100
it O -100
up O -100
though O -100
with O -100
lots O -100
of O -100
sauces O -100
and O -100
vegis O -100
. O -100
Food B-ASP -100
wise O -100
, O -100
I O -100
would O -100
give O -100
them O -100
a O -100
4 O -100
as O -100
everything O -100
tasted O -100
great O -100
. O -100
Service B-ASP -100
wise O -100
, O -100
I O -100
would O -100
have O -100
to O -100
give O -100
them O -100
a O -100
2 O -100
as O -100
the O -100
wait O -100
was O -100
terrible O -100
! O -100
20 O -100
minutes O -100
in O -100
line O -100
is O -100
crazy O -100
for O -100
only O -100
having O -100
about O -100
10 O -100
people O -100
in O -100
line O -100
. O -100
Good O -100
food O -100
, O -100
but O -100
the O -100
prices B-ASP -100
are O -100
very O -100
high O -100
too O -100
. O -100

Just O -100
had O -100
Yalla O -100
for O -100
lunch O -100
today O -100
. O -100
I O -100
work O -100
on O -100
Krog O -100
Street O -100
, O -100
so O -100
figured O -100
I O -100
would O -100
give O -100
it O -100
a O -100
shot O -100
today O -100
. O -100
The O -100
line B-ASP -100
was O -100
VERY O -100
Long O -100
( O -100
about O -100
10 O -100
people O -100
deep O -100
) O -100
, O -100
which O -100
must O -100
mean O -100
it O -100
is O -100
good O -100
. O -100
I O -100
waited O -100
, O -100
and O -100
waited O -100
, O -100
and O -100
waited O -100
in O -100
line B-ASP -100
for O -100
about O -100
20 O -100
minutes O -100
. O -100
My O -100
co O -100
workers O -100
went O -100
to O -100
Fred O -100
' O -100
s O -100
and O -100
had O -100
ordered O -100
and O -100
almost O -100
finished O -100
their O -100
food O -100
by O -100
the O -100
time O -100
I O -100
sat O -100
down O -100
at O -100
a O -100
table O -100
. O -100
I O -100
stuck O -100
it O -100
out O -100
in O -100
line O -100
though O -100
. O -100
The O -100
people B-ASP -100
behind O -100
the O -100
counter O -100
are O -100
very O -100
slow O -100
. O -100
Maybe O -100
because O -100
they O -100
have O -100
only O -100
been O -100
open O -100
for O -100
three O -100
weeks O -100
they O -100
are O -100
still O -100
working O -100
on O -100
the O -100
process O -100
. O -100
There O -100
is O -100
room O -100
for O -100
improvement O -100
on O -100
" O -100
moving O -100
orders B-ASP Negative
through O -100
the O -100
line O -100
. O -100
" O -100
It O -100
' O -100
s O -100
basically O -100
like O -100
a O -100
burrito O -100
place O -100
, O -100
but O -100
Mediterranean O -100
food O -100
. O -100
I O -100
got O -100
the O -100
pita O -100
Shawarma O -100
( B-ASP -100
$ I-ASP -100
8 O -100
) O -100
which O -100
was O -100
a O -100
little O -100
pricey O -100
considering O -100
this O -100
was O -100
their O -100
smallest O -100
size O -100
. O -100
One O -100
size O -100
up O -100
is O -100
basically O -100
a O -100
Mediterranean O -100
tortilla O -100
which O -100
was O -100
$ O -100
14 O -100
. O -100
That O -100
is O -100
VERY O -100
steep O -100
vs O -100
a O -100
burrito O -100
place O -100
being O -100
about O -100
$ O -100
6 O -100
. O -100
50 O -100
or O -100
$ O -100
7 O -100
. O -100
They O -100
did O -100
a O -100
great O -100
job O -100
loading O -100
it O -100
up O -100
though O -100
with O -100
lots O -100
of O -100
sauces O -100
and O -100
vegis O -100
. O -100
Food B-ASP -100
wise O -100
, O -100
I O -100
would O -100
give O -100
them O -100
a O -100
4 O -100
as O -100
everything O -100
tasted O -100
great O -100
. O -100
Service B-ASP -100
wise O -100
, O -100
I O -100
would O -100
have O -100
to O -100
give O -100
them O -100
a O -100
2 O -100
as O -100
the O -100
wait O -100
was O -100
terrible O -100
! O -100
20 O -100
minutes O -100
in O -100
line O -100
is O -100
crazy O -100
for O -100
only O -100
having O -100
about O -100
10 O -100
people O -100
in O -100
line O -100
. O -100
Good O -100
food O -100
, O -100
but O -100
the O -100
prices B-ASP -100
are O -100
very O -100
high O -100
too O -100
. O -100

Just O -100
had O -100
Yalla O -100
for O -100
lunch O -100
today O -100
. O -100
I O -100
work O -100
on O -100
Krog O -100
Street O -100
, O -100
so O -100
figured O -100
I O -100
would O -100
give O -100
it O -100
a O -100
shot O -100
today O -100
. O -100
The O -100
line B-ASP -100
was O -100
VERY O -100
Long O -100
( O -100
about O -100
10 O -100
people O -100
deep O -100
) O -100
, O -100
which O -100
must O -100
mean O -100
it O -100
is O -100
good O -100
. O -100
I O -100
waited O -100
, O -100
and O -100
waited O -100
, O -100
and O -100
waited O -100
in O -100
line B-ASP -100
for O -100
about O -100
20 O -100
minutes O -100
. O -100
My O -100
co O -100
workers O -100
went O -100
to O -100
Fred O -100
' O -100
s O -100
and O -100
had O -100
ordered O -100
and O -100
almost O -100
finished O -100
their O -100
food O -100
by O -100
the O -100
time O -100
I O -100
sat O -100
down O -100
at O -100
a O -100
table O -100
. O -100
I O -100
stuck O -100
it O -100
out O -100
in O -100
line O -100
though O -100
. O -100
The O -100
people B-ASP -100
behind O -100
the O -100
counter O -100
are O -100
very O -100
slow O -100
. O -100
Maybe O -100
because O -100
they O -100
have O -100
only O -100
been O -100
open O -100
for O -100
three O -100
weeks O -100
they O -100
are O -100
still O -100
working O -100
on O -100
the O -100
process O -100
. O -100
There O -100
is O -100
room O -100
for O -100
improvement O -100
on O -100
" O -100
moving O -100
orders B-ASP -100
through O -100
the O -100
line O -100
. O -100
" O -100
It O -100
' O -100
s O -100
basically O -100
like O -100
a O -100
burrito O -100
place O -100
, O -100
but O -100
Mediterranean O -100
food O -100
. O -100
I O -100
got O -100
the O -100
pita O -100
Shawarma O -100
( B-ASP Negative
$ I-ASP Negative
8 O -100
) O -100
which O -100
was O -100
a O -100
little O -100
pricey O -100
considering O -100
this O -100
was O -100
their O -100
smallest O -100
size O -100
. O -100
One O -100
size O -100
up O -100
is O -100
basically O -100
a O -100
Mediterranean O -100
tortilla O -100
which O -100
was O -100
$ O -100
14 O -100
. O -100
That O -100
is O -100
VERY O -100
steep O -100
vs O -100
a O -100
burrito O -100
place O -100
being O -100
about O -100
$ O -100
6 O -100
. O -100
50 O -100
or O -100
$ O -100
7 O -100
. O -100
They O -100
did O -100
a O -100
great O -100
job O -100
loading O -100
it O -100
up O -100
though O -100
with O -100
lots O -100
of O -100
sauces O -100
and O -100
vegis O -100
. O -100
Food B-ASP -100
wise O -100
, O -100
I O -100
would O -100
give O -100
them O -100
a O -100
4 O -100
as O -100
everything O -100
tasted O -100
great O -100
. O -100
Service B-ASP -100
wise O -100
, O -100
I O -100
would O -100
have O -100
to O -100
give O -100
them O -100
a O -100
2 O -100
as O -100
the O -100
wait O -100
was O -100
terrible O -100
! O -100
20 O -100
minutes O -100
in O -100
line O -100
is O -100
crazy O -100
for O -100
only O -100
having O -100
about O -100
10 O -100
people O -100
in O -100
line O -100
. O -100
Good O -100
food O -100
, O -100
but O -100
the O -100
prices B-ASP -100
are O -100
very O -100
high O -100
too O -100
. O -100

Just O -100
had O -100
Yalla O -100
for O -100
lunch O -100
today O -100
. O -100
I O -100
work O -100
on O -100
Krog O -100
Street O -100
, O -100
so O -100
figured O -100
I O -100
would O -100
give O -100
it O -100
a O -100
shot O -100
today O -100
. O -100
The O -100
line B-ASP -100
was O -100
VERY O -100
Long O -100
( O -100
about O -100
10 O -100
people O -100
deep O -100
) O -100
, O -100
which O -100
must O -100
mean O -100
it O -100
is O -100
good O -100
. O -100
I O -100
waited O -100
, O -100
and O -100
waited O -100
, O -100
and O -100
waited O -100
in O -100
line B-ASP -100
for O -100
about O -100
20 O -100
minutes O -100
. O -100
My O -100
co O -100
workers O -100
went O -100
to O -100
Fred O -100
' O -100
s O -100
and O -100
had O -100
ordered O -100
and O -100
almost O -100
finished O -100
their O -100
food O -100
by O -100
the O -100
time O -100
I O -100
sat O -100
down O -100
at O -100
a O -100
table O -100
. O -100
I O -100
stuck O -100
it O -100
out O -100
in O -100
line O -100
though O -100
. O -100
The O -100
people B-ASP -100
behind O -100
the O -100
counter O -100
are O -100
very O -100
slow O -100
. O -100
Maybe O -100
because O -100
they O -100
have O -100
only O -100
been O -100
open O -100
for O -100
three O -100
weeks O -100
they O -100
are O -100
still O -100
working O -100
on O -100
the O -100
process O -100
. O -100
There O -100
is O -100
room O -100
for O -100
improvement O -100
on O -100
" O -100
moving O -100
orders B-ASP -100
through O -100
the O -100
line O -100
. O -100
" O -100
It O -100
' O -100
s O -100
basically O -100
like O -100
a O -100
burrito O -100
place O -100
, O -100
but O -100
Mediterranean O -100
food O -100
. O -100
I O -100
got O -100
the O -100
pita O -100
Shawarma O -100
( B-ASP -100
$ I-ASP -100
8 O -100
) O -100
which O -100
was O -100
a O -100
little O -100
pricey O -100
considering O -100
this O -100
was O -100
their O -100
smallest O -100
size O -100
. O -100
One O -100
size O -100
up O -100
is O -100
basically O -100
a O -100
Mediterranean O -100
tortilla O -100
which O -100
was O -100
$ O -100
14 O -100
. O -100
That O -100
is O -100
VERY O -100
steep O -100
vs O -100
a O -100
burrito O -100
place O -100
being O -100
about O -100
$ O -100
6 O -100
. O -100
50 O -100
or O -100
$ O -100
7 O -100
. O -100
They O -100
did O -100
a O -100
great O -100
job O -100
loading O -100
it O -100
up O -100
though O -100
with O -100
lots O -100
of O -100
sauces O -100
and O -100
vegis O -100
. O -100
Food B-ASP Positive
wise O -100
, O -100
I O -100
would O -100
give O -100
them O -100
a O -100
4 O -100
as O -100
everything O -100
tasted O -100
great O -100
. O -100
Service B-ASP -100
wise O -100
, O -100
I O -100
would O -100
have O -100
to O -100
give O -100
them O -100
a O -100
2 O -100
as O -100
the O -100
wait O -100
was O -100
terrible O -100
! O -100
20 O -100
minutes O -100
in O -100
line O -100
is O -100
crazy O -100
for O -100
only O -100
having O -100
about O -100
10 O -100
people O -100
in O -100
line O -100
. O -100
Good O -100
food O -100
, O -100
but O -100
the O -100
prices B-ASP -100
are O -100
very O -100
high O -100
too O -100
. O -100

Just O -100
had O -100
Yalla O -100
for O -100
lunch O -100
today O -100
. O -100
I O -100
work O -100
on O -100
Krog O -100
Street O -100
, O -100
so O -100
figured O -100
I O -100
would O -100
give O -100
it O -100
a O -100
shot O -100
today O -100
. O -100
The O -100
line B-ASP -100
was O -100
VERY O -100
Long O -100
( O -100
about O -100
10 O -100
people O -100
deep O -100
) O -100
, O -100
which O -100
must O -100
mean O -100
it O -100
is O -100
good O -100
. O -100
I O -100
waited O -100
, O -100
and O -100
waited O -100
, O -100
and O -100
waited O -100
in O -100
line B-ASP -100
for O -100
about O -100
20 O -100
minutes O -100
. O -100
My O -100
co O -100
workers O -100
went O -100
to O -100
Fred O -100
' O -100
s O -100
and O -100
had O -100
ordered O -100
and O -100
almost O -100
finished O -100
their O -100
food O -100
by O -100
the O -100
time O -100
I O -100
sat O -100
down O -100
at O -100
a O -100
table O -100
. O -100
I O -100
stuck O -100
it O -100
out O -100
in O -100
line O -100
though O -100
. O -100
The O -100
people B-ASP -100
behind O -100
the O -100
counter O -100
are O -100
very O -100
slow O -100
. O -100
Maybe O -100
because O -100
they O -100
have O -100
only O -100
been O -100
open O -100
for O -100
three O -100
weeks O -100
they O -100
are O -100
still O -100
working O -100
on O -100
the O -100
process O -100
. O -100
There O -100
is O -100
room O -100
for O -100
improvement O -100
on O -100
" O -100
moving O -100
orders B-ASP -100
through O -100
the O -100
line O -100
. O -100
" O -100
It O -100
' O -100
s O -100
basically O -100
like O -100
a O -100
burrito O -100
place O -100
, O -100
but O -100
Mediterranean O -100
food O -100
. O -100
I O -100
got O -100
the O -100
pita O -100
Shawarma O -100
( B-ASP -100
$ I-ASP -100
8 O -100
) O -100
which O -100
was O -100
a O -100
little O -100
pricey O -100
considering O -100
this O -100
was O -100
their O -100
smallest O -100
size O -100
. O -100
One O -100
size O -100
up O -100
is O -100
basically O -100
a O -100
Mediterranean O -100
tortilla O -100
which O -100
was O -100
$ O -100
14 O -100
. O -100
That O -100
is O -100
VERY O -100
steep O -100
vs O -100
a O -100
burrito O -100
place O -100
being O -100
about O -100
$ O -100
6 O -100
. O -100
50 O -100
or O -100
$ O -100
7 O -100
. O -100
They O -100
did O -100
a O -100
great O -100
job O -100
loading O -100
it O -100
up O -100
though O -100
with O -100
lots O -100
of O -100
sauces O -100
and O -100
vegis O -100
. O -100
Food B-ASP -100
wise O -100
, O -100
I O -100
would O -100
give O -100
them O -100
a O -100
4 O -100
as O -100
everything O -100
tasted O -100
great O -100
. O -100
Service B-ASP Negative
wise O -100
, O -100
I O -100
would O -100
have O -100
to O -100
give O -100
them O -100
a O -100
2 O -100
as O -100
the O -100
wait O -100
was O -100
terrible O -100
! O -100
20 O -100
minutes O -100
in O -100
line O -100
is O -100
crazy O -100
for O -100
only O -100
having O -100
about O -100
10 O -100
people O -100
in O -100
line O -100
. O -100
Good O -100
food O -100
, O -100
but O -100
the O -100
prices B-ASP -100
are O -100
very O -100
high O -100
too O -100
. O -100

Just O -100
had O -100
Yalla O -100
for O -100
lunch O -100
today O -100
. O -100
I O -100
work O -100
on O -100
Krog O -100
Street O -100
, O -100
so O -100
figured O -100
I O -100
would O -100
give O -100
it O -100
a O -100
shot O -100
today O -100
. O -100
The O -100
line B-ASP -100
was O -100
VERY O -100
Long O -100
( O -100
about O -100
10 O -100
people O -100
deep O -100
) O -100
, O -100
which O -100
must O -100
mean O -100
it O -100
is O -100
good O -100
. O -100
I O -100
waited O -100
, O -100
and O -100
waited O -100
, O -100
and O -100
waited O -100
in O -100
line B-ASP -100
for O -100
about O -100
20 O -100
minutes O -100
. O -100
My O -100
co O -100
workers O -100
went O -100
to O -100
Fred O -100
' O -100
s O -100
and O -100
had O -100
ordered O -100
and O -100
almost O -100
finished O -100
their O -100
food O -100
by O -100
the O -100
time O -100
I O -100
sat O -100
down O -100
at O -100
a O -100
table O -100
. O -100
I O -100
stuck O -100
it O -100
out O -100
in O -100
line O -100
though O -100
. O -100
The O -100
people B-ASP -100
behind O -100
the O -100
counter O -100
are O -100
very O -100
slow O -100
. O -100
Maybe O -100
because O -100
they O -100
have O -100
only O -100
been O -100
open O -100
for O -100
three O -100
weeks O -100
they O -100
are O -100
still O -100
working O -100
on O -100
the O -100
process O -100
. O -100
There O -100
is O -100
room O -100
for O -100
improvement O -100
on O -100
" O -100
moving O -100
orders B-ASP -100
through O -100
the O -100
line O -100
. O -100
" O -100
It O -100
' O -100
s O -100
basically O -100
like O -100
a O -100
burrito O -100
place O -100
, O -100
but O -100
Mediterranean O -100
food O -100
. O -100
I O -100
got O -100
the O -100
pita O -100
Shawarma O -100
( B-ASP -100
$ I-ASP -100
8 O -100
) O -100
which O -100
was O -100
a O -100
little O -100
pricey O -100
considering O -100
this O -100
was O -100
their O -100
smallest O -100
size O -100
. O -100
One O -100
size O -100
up O -100
is O -100
basically O -100
a O -100
Mediterranean O -100
tortilla O -100
which O -100
was O -100
$ O -100
14 O -100
. O -100
That O -100
is O -100
VERY O -100
steep O -100
vs O -100
a O -100
burrito O -100
place O -100
being O -100
about O -100
$ O -100
6 O -100
. O -100
50 O -100
or O -100
$ O -100
7 O -100
. O -100
They O -100
did O -100
a O -100
great O -100
job O -100
loading O -100
it O -100
up O -100
though O -100
with O -100
lots O -100
of O -100
sauces O -100
and O -100
vegis O -100
. O -100
Food B-ASP -100
wise O -100
, O -100
I O -100
would O -100
give O -100
them O -100
a O -100
4 O -100
as O -100
everything O -100
tasted O -100
great O -100
. O -100
Service B-ASP -100
wise O -100
, O -100
I O -100
would O -100
have O -100
to O -100
give O -100
them O -100
a O -100
2 O -100
as O -100
the O -100
wait O -100
was O -100
terrible O -100
! O -100
20 O -100
minutes O -100
in O -100
line O -100
is O -100
crazy O -100
for O -100
only O -100
having O -100
about O -100
10 O -100
people O -100
in O -100
line O -100
. O -100
Good O -100
food O -100
, O -100
but O -100
the O -100
prices B-ASP Negative
are O -100
very O -100
high O -100
too O -100
. O -100

best O -100
pizza B-ASP Positive
on O -100
a O -100
busy O -100
street O -100
! O -100
my O -100
kids O -100
love O -100
it O -100
. O -100
i O -100
' O -100
ve O -100
been O -100
recommending O -100
to O -100
everyone O -100
who O -100
has O -100
a O -100
birthday O -100
party O -100
in O -100
that O -100
area O -100
to O -100
order O -100
from O -100
pizzapalooza O -100
and O -100
they O -100
are O -100
not O -100
disappointed O -100
. O -100
the O -100
pizza O -100
is O -100
thick O -100
, O -100
square O -100
and O -100
yummY O -100
! O -100
so O -100
many O -100
varieties O -100
, O -100
i O -100
love O -100
their O -100
pasta O -100
with O -100
meatball O -100
too O -100
! O -100
They O -100
also O -100
serve O -100
ice O -100
cream O -100
. O -100
This O -100
is O -100
a O -100
good O -100
value O -100
comfort O -100
food O -100
place B-ASP -100
for O -100
me O -100
and O -100
my O -100
family O -100
. O -100

best O -100
pizza B-ASP -100
on O -100
a O -100
busy O -100
street O -100
! O -100
my O -100
kids O -100
love O -100
it O -100
. O -100
i O -100
' O -100
ve O -100
been O -100
recommending O -100
to O -100
everyone O -100
who O -100
has O -100
a O -100
birthday O -100
party O -100
in O -100
that O -100
area O -100
to O -100
order O -100
from O -100
pizzapalooza O -100
and O -100
they O -100
are O -100
not O -100
disappointed O -100
. O -100
the O -100
pizza O -100
is O -100
thick O -100
, O -100
square O -100
and O -100
yummY O -100
! O -100
so O -100
many O -100
varieties O -100
, O -100
i O -100
love O -100
their O -100
pasta O -100
with O -100
meatball O -100
too O -100
! O -100
They O -100
also O -100
serve O -100
ice O -100
cream O -100
. O -100
This O -100
is O -100
a O -100
good O -100
value O -100
comfort O -100
food O -100
place B-ASP Positive
for O -100
me O -100
and O -100
my O -100
family O -100
. O -100

Had O -100
the O -100
worst O -100
experience O -100
there O -100
today O -100
when O -100
I O -100
tried O -100
to O -100
have O -100
a O -100
breakfast O -100
. O -100
The O -100
service B-ASP Negative
was O -100
slow O -100
waited O -100
at O -100
least O -100
30 O -100
min O -100
for O -100
my O -100
French O -100
toast O -100
and O -100
when O -100
it O -100
got O -100
there O -100
I O -100
pulled O -100
a O -100
long O -100
grosse O -100
hair O -100
out O -100
of O -100
it O -100
. O -100
I O -100
' O -100
m O -100
never O -100
going O -100
there O -100
again O -100
! O -100

I O -100
wanted O -100
this O -100
to O -100
be O -100
a O -100
great O -100
place O -100
, O -100
but O -100
I O -100
wasn O -100
' O -100
t O -100
impressed O -100
. O -100
I O -100
went O -100
there O -100
for O -100
dinner O -100
on O -100
a O -100
Monday O -100
. O -100
I O -100
tried O -100
the O -100
pulled O -100
pork O -100
sandwich O -100
it O -100
seemed O -100
like O -100
a O -100
sort O -100
of O -100
specialty O -100
. O -100
My O -100
husband O -100
had O -100
the O -100
burger O -100
. O -100
The O -100
buns O -100
left O -100
something O -100
to O -100
be O -100
desired O -100
. O -100
The O -100
fries B-ASP Negative
were O -100
okay O -100
but O -100
a O -100
little O -100
cold O -100
. O -100
But O -100
at O -100
about O -100
$ B-ASP -100
10 O -100
per O -100
entree O -100
for O -100
bar O -100
food O -100
, O -100
it O -100
wasn O -100
' O -100
t O -100
as O -100
good O -100
as O -100
it O -100
should O -100
have O -100
been O -100
. O -100
Service B-ASP -100
was O -100
fine O -100
they O -100
were O -100
overstaffed O -100
. O -100
I O -100
don O -100
' O -100
t O -100
think O -100
I O -100
will O -100
be O -100
back O -100
anytime O -100
soon O -100
. O -100

I O -100
wanted O -100
this O -100
to O -100
be O -100
a O -100
great O -100
place O -100
, O -100
but O -100
I O -100
wasn O -100
' O -100
t O -100
impressed O -100
. O -100
I O -100
went O -100
there O -100
for O -100
dinner O -100
on O -100
a O -100
Monday O -100
. O -100
I O -100
tried O -100
the O -100
pulled O -100
pork O -100
sandwich O -100
it O -100
seemed O -100
like O -100
a O -100
sort O -100
of O -100
specialty O -100
. O -100
My O -100
husband O -100
had O -100
the O -100
burger O -100
. O -100
The O -100
buns O -100
left O -100
something O -100
to O -100
be O -100
desired O -100
. O -100
The O -100
fries B-ASP -100
were O -100
okay O -100
but O -100
a O -100
little O -100
cold O -100
. O -100
But O -100
at O -100
about O -100
$ B-ASP Negative
10 O -100
per O -100
entree O -100
for O -100
bar O -100
food O -100
, O -100
it O -100
wasn O -100
' O -100
t O -100
as O -100
good O -100
as O -100
it O -100
should O -100
have O -100
been O -100
. O -100
Service B-ASP -100
was O -100
fine O -100
they O -100
were O -100
overstaffed O -100
. O -100
I O -100
don O -100
' O -100
t O -100
think O -100
I O -100
will O -100
be O -100
back O -100
anytime O -100
soon O -100
. O -100

I O -100
wanted O -100
this O -100
to O -100
be O -100
a O -100
great O -100
place O -100
, O -100
but O -100
I O -100
wasn O -100
' O -100
t O -100
impressed O -100
. O -100
I O -100
went O -100
there O -100
for O -100
dinner O -100
on O -100
a O -100
Monday O -100
. O -100
I O -100
tried O -100
the O -100
pulled O -100
pork O -100
sandwich O -100
it O -100
seemed O -100
like O -100
a O -100
sort O -100
of O -100
specialty O -100
. O -100
My O -100
husband O -100
had O -100
the O -100
burger O -100
. O -100
The O -100
buns O -100
left O -100
something O -100
to O -100
be O -100
desired O -100
. O -100
The O -100
fries B-ASP -100
were O -100
okay O -100
but O -100
a O -100
little O -100
cold O -100
. O -100
But O -100
at O -100
about O -100
$ B-ASP -100
10 O -100
per O -100
entree O -100
for O -100
bar O -100
food O -100
, O -100
it O -100
wasn O -100
' O -100
t O -100
as O -100
good O -100
as O -100
it O -100
should O -100
have O -100
been O -100
. O -100
Service B-ASP Neutral
was O -100
fine O -100
they O -100
were O -100
overstaffed O -100
. O -100
I O -100
don O -100
' O -100
t O -100
think O -100
I O -100
will O -100
be O -100
back O -100
anytime O -100
soon O -100
. O -100

Incredible O -100
donuts O -100
. O -100
Sometimes O -100
you O -100
have O -100
to O -100
go O -100
early O -100
to O -100
have O -100
the O -100
full O -100
selection O -100
but O -100
the O -100
donuts B-ASP Positive
never O -100
disappoint O -100
. O -100

Dont O -100
bother O -100
going O -100
to O -100
voodoo O -100
, O -100
just O -100
come O -100
here O -100
instead O -100
. O -100
They O -100
have O -100
such O -100
unique O -100
flavors B-ASP Positive
and O -100
everything B-ASP -100
is O -100
so O -100
fresh O -100
. O -100
Oh O -100
, O -100
and O -100
try O -100
their O -100
cold O -100
brew O -100
too O -100
! O -100

Dont O -100
bother O -100
going O -100
to O -100
voodoo O -100
, O -100
just O -100
come O -100
here O -100
instead O -100
. O -100
They O -100
have O -100
such O -100
unique O -100
flavors B-ASP -100
and O -100
everything B-ASP Positive
is O -100
so O -100
fresh O -100
. O -100
Oh O -100
, O -100
and O -100
try O -100
their O -100
cold O -100
brew O -100
too O -100
! O -100

Bummer O -100
. O -100
I O -100
was O -100
very O -100
disappointed O -100
. O -100
So O -100
I O -100
finally O -100
stopped O -100
in O -100
for O -100
take O -100
out O -100
. O -100
I O -100
got O -100
the O -100
fried O -100
haddock O -100
sandwich O -100
with O -100
fries O -100
. O -100
The O -100
fries B-ASP Negative
were O -100
frozen O -100
and O -100
greasy O -100
. O -100
. O -100
The O -100
haddock O -100
sandwich B-ASP -100
was O -100
not O -100
good O -100
. O -100
Tasted B-ASP -100
very O -100
fishy O -100
and O -100
frozen O -100
. O -100
I O -100
had O -100
such O -100
high O -100
hopes O -100
their O -100
take O -100
out O -100
would O -100
be O -100
good O -100
. O -100

Bummer O -100
. O -100
I O -100
was O -100
very O -100
disappointed O -100
. O -100
So O -100
I O -100
finally O -100
stopped O -100
in O -100
for O -100
take O -100
out O -100
. O -100
I O -100
got O -100
the O -100
fried O -100
haddock O -100
sandwich O -100
with O -100
fries O -100
. O -100
The O -100
fries B-ASP -100
were O -100
frozen O -100
and O -100
greasy O -100
. O -100
. O -100
The O -100
haddock O -100
sandwich B-ASP Negative
was O -100
not O -100
good O -100
. O -100
Tasted B-ASP -100
very O -100
fishy O -100
and O -100
frozen O -100
. O -100
I O -100
had O -100
such O -100
high O -100
hopes O -100
their O -100
take O -100
out O -100
would O -100
be O -100
good O -100
. O -100

Bummer O -100
. O -100
I O -100
was O -100
very O -100
disappointed O -100
. O -100
So O -100
I O -100
finally O -100
stopped O -100
in O -100
for O -100
take O -100
out O -100
. O -100
I O -100
got O -100
the O -100
fried O -100
haddock O -100
sandwich O -100
with O -100
fries O -100
. O -100
The O -100
fries B-ASP -100
were O -100
frozen O -100
and O -100
greasy O -100
. O -100
. O -100
The O -100
haddock O -100
sandwich B-ASP -100
was O -100
not O -100
good O -100
. O -100
Tasted B-ASP Negative
very O -100
fishy O -100
and O -100
frozen O -100
. O -100
I O -100
had O -100
such O -100
high O -100
hopes O -100
their O -100
take O -100
out O -100
would O -100
be O -100
good O -100
. O -100

Overall O -100
is O -100
good O -100
, O -100
is O -100
worth O -100
the O -100
line B-ASP Negative
up O -100
I O -100
don O -100
' O -100
t O -100
think O -100
so O -100
, O -100
mainly O -100
Instagram O -100
addict O -100
' O -100
s O -100
go O -100
here O -100
. O -100
Believe O -100
me O -100
the O -100
food B-ASP -100
is O -100
great O -100
, O -100
service B-ASP -100
is O -100
ok O -100
, O -100
the O -100
hype O -100
about O -100
it O -100
I O -100
still O -100
dont O -100
get O -100
it O -100
. O -100

Overall O -100
is O -100
good O -100
, O -100
is O -100
worth O -100
the O -100
line B-ASP -100
up O -100
I O -100
don O -100
' O -100
t O -100
think O -100
so O -100
, O -100
mainly O -100
Instagram O -100
addict O -100
' O -100
s O -100
go O -100
here O -100
. O -100
Believe O -100
me O -100
the O -100
food B-ASP Positive
is O -100
great O -100
, O -100
service B-ASP -100
is O -100
ok O -100
, O -100
the O -100
hype O -100
about O -100
it O -100
I O -100
still O -100
dont O -100
get O -100
it O -100
. O -100

Overall O -100
is O -100
good O -100
, O -100
is O -100
worth O -100
the O -100
line B-ASP -100
up O -100
I O -100
don O -100
' O -100
t O -100
think O -100
so O -100
, O -100
mainly O -100
Instagram O -100
addict O -100
' O -100
s O -100
go O -100
here O -100
. O -100
Believe O -100
me O -100
the O -100
food B-ASP -100
is O -100
great O -100
, O -100
service B-ASP Neutral
is O -100
ok O -100
, O -100
the O -100
hype O -100
about O -100
it O -100
I O -100
still O -100
dont O -100
get O -100
it O -100
. O -100

The O -100
ramen B-ASP Negative
here O -100
is O -100
less O -100
than O -100
great O -100
. O -100
It O -100
came O -100
out O -100
luke O -100
warm O -100
and O -100
oily O -100
. O -100
The O -100
service B-ASP -100
we O -100
received O -100
was O -100
NOT O -100
good O -100
. O -100
I O -100
will O -100
not O -100
be O -100
returning O -100
. O -100

The O -100
ramen B-ASP -100
here O -100
is O -100
less O -100
than O -100
great O -100
. O -100
It O -100
came O -100
out O -100
luke O -100
warm O -100
and O -100
oily O -100
. O -100
The O -100
service B-ASP Negative
we O -100
received O -100
was O -100
NOT O -100
good O -100
. O -100
I O -100
will O -100
not O -100
be O -100
returning O -100
. O -100

This O -100
a O -100
great O -100
place O -100
to O -100
go O -100
to O -100
be O -100
social O -100
with O -100
a O -100
group O -100
. O -100
I O -100
went O -100
yesterday O -100
and O -100
had O -100
to O -100
wait O -100
in O -100
line B-ASP Negative
ten O -100
minutes O -100
just O -100
to O -100
get O -100
in O -100
, O -100
but O -100
no O -100
big O -100
deal O -100
, O -100
as O -100
the O -100
newest O -100
addition O -100
to O -100
Kendall O -100
Square O -100
the O -100
" O -100
new O -100
" O -100
factor O -100
of O -100
State O -100
Park O -100
delivers O -100
on O -100
the O -100
hype O -100
and O -100
is O -100
worth O -100
the O -100
wait B-ASP -100
! O -100
The O -100
place B-ASP -100
was O -100
packed O -100
but O -100
it O -100
somehow O -100
did O -100
not O -100
feel O -100
crowded O -100
and O -100
while O -100
we O -100
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only O -100
there O -100
for O -100
drinks O -100
I O -100
will O -100
be O -100
back O -100
for O -100
the O -100
southern O -100
food O -100
. O -100
The O -100
bar O -100
tenders B-ASP -100
kept O -100
everyone O -100
happy O -100
in O -100
the O -100
crowded O -100
restaurant O -100
and O -100
with O -100
good O -100
Juke O -100
Box O -100
tunes O -100
, O -100
fun O -100
shuffle O -100
board O -100
and O -100
great O -100
decor O -100
all O -100
of O -100
the O -100
ingredients O -100
were O -100
primed O -100
for O -100
a O -100
fun O -100
fueled O -100
night O -100
. O -100
Kudos O -100
to O -100
the O -100
female O -100
bartender O -100
for O -100
making O -100
me O -100
and O -100
my O -100
friends O -100
8 O -100
Moscow O -100
Mules O -100
and O -100
one O -100
great O -100
dirty O -100
Vodka O -100
Martini O -100
. O -100
The O -100
group O -100
all O -100
agreed O -100
delicious O -100
, O -100
8 O -100
for O -100
8 O -100
! O -100
A O -100
raucous O -100
good O -100
time O -100
in O -100
the O -100
always O -100
fun O -100
and O -100
classy O -100
Kendall O -100
Square O -100
. O -100
If O -100
you O -100
' O -100
re O -100
bar O -100
hopping O -100
near O -100
Inman O -100
and O -100
Kendall O -100
save O -100
yourself O -100
the O -100
walk O -100
to O -100
Central O -100
and O -100
crash O -100
the O -100
party O -100
at O -100
State O -100
Park O -100
. O -100

This O -100
a O -100
great O -100
place O -100
to O -100
go O -100
to O -100
be O -100
social O -100
with O -100
a O -100
group O -100
. O -100
I O -100
went O -100
yesterday O -100
and O -100
had O -100
to O -100
wait O -100
in O -100
line B-ASP -100
ten O -100
minutes O -100
just O -100
to O -100
get O -100
in O -100
, O -100
but O -100
no O -100
big O -100
deal O -100
, O -100
as O -100
the O -100
newest O -100
addition O -100
to O -100
Kendall O -100
Square O -100
the O -100
" O -100
new O -100
" O -100
factor O -100
of O -100
State O -100
Park O -100
delivers O -100
on O -100
the O -100
hype O -100
and O -100
is O -100
worth O -100
the O -100
wait B-ASP Positive
! O -100
The O -100
place B-ASP -100
was O -100
packed O -100
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it O -100
somehow O -100
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not O -100
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only O -100
there O -100
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drinks O -100
I O -100
will O -100
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back O -100
for O -100
the O -100
southern O -100
food O -100
. O -100
The O -100
bar O -100
tenders B-ASP -100
kept O -100
everyone O -100
happy O -100
in O -100
the O -100
crowded O -100
restaurant O -100
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with O -100
good O -100
Juke O -100
Box O -100
tunes O -100
, O -100
fun O -100
shuffle O -100
board O -100
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great O -100
decor O -100
all O -100
of O -100
the O -100
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primed O -100
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a O -100
fun O -100
fueled O -100
night O -100
. O -100
Kudos O -100
to O -100
the O -100
female O -100
bartender O -100
for O -100
making O -100
me O -100
and O -100
my O -100
friends O -100
8 O -100
Moscow O -100
Mules O -100
and O -100
one O -100
great O -100
dirty O -100
Vodka O -100
Martini O -100
. O -100
The O -100
group O -100
all O -100
agreed O -100
delicious O -100
, O -100
8 O -100
for O -100
8 O -100
! O -100
A O -100
raucous O -100
good O -100
time O -100
in O -100
the O -100
always O -100
fun O -100
and O -100
classy O -100
Kendall O -100
Square O -100
. O -100
If O -100
you O -100
' O -100
re O -100
bar O -100
hopping O -100
near O -100
Inman O -100
and O -100
Kendall O -100
save O -100
yourself O -100
the O -100
walk O -100
to O -100
Central O -100
and O -100
crash O -100
the O -100
party O -100
at O -100
State O -100
Park O -100
. O -100

This O -100
a O -100
great O -100
place O -100
to O -100
go O -100
to O -100
be O -100
social O -100
with O -100
a O -100
group O -100
. O -100
I O -100
went O -100
yesterday O -100
and O -100
had O -100
to O -100
wait O -100
in O -100
line B-ASP -100
ten O -100
minutes O -100
just O -100
to O -100
get O -100
in O -100
, O -100
but O -100
no O -100
big O -100
deal O -100
, O -100
as O -100
the O -100
newest O -100
addition O -100
to O -100
Kendall O -100
Square O -100
the O -100
" O -100
new O -100
" O -100
factor O -100
of O -100
State O -100
Park O -100
delivers O -100
on O -100
the O -100
hype O -100
and O -100
is O -100
worth O -100
the O -100
wait B-ASP -100
! O -100
The O -100
place B-ASP Positive
was O -100
packed O -100
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it O -100
somehow O -100
did O -100
not O -100
feel O -100
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only O -100
there O -100
for O -100
drinks O -100
I O -100
will O -100
be O -100
back O -100
for O -100
the O -100
southern O -100
food O -100
. O -100
The O -100
bar O -100
tenders B-ASP -100
kept O -100
everyone O -100
happy O -100
in O -100
the O -100
crowded O -100
restaurant O -100
and O -100
with O -100
good O -100
Juke O -100
Box O -100
tunes O -100
, O -100
fun O -100
shuffle O -100
board O -100
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great O -100
decor O -100
all O -100
of O -100
the O -100
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primed O -100
for O -100
a O -100
fun O -100
fueled O -100
night O -100
. O -100
Kudos O -100
to O -100
the O -100
female O -100
bartender O -100
for O -100
making O -100
me O -100
and O -100
my O -100
friends O -100
8 O -100
Moscow O -100
Mules O -100
and O -100
one O -100
great O -100
dirty O -100
Vodka O -100
Martini O -100
. O -100
The O -100
group O -100
all O -100
agreed O -100
delicious O -100
, O -100
8 O -100
for O -100
8 O -100
! O -100
A O -100
raucous O -100
good O -100
time O -100
in O -100
the O -100
always O -100
fun O -100
and O -100
classy O -100
Kendall O -100
Square O -100
. O -100
If O -100
you O -100
' O -100
re O -100
bar O -100
hopping O -100
near O -100
Inman O -100
and O -100
Kendall O -100
save O -100
yourself O -100
the O -100
walk O -100
to O -100
Central O -100
and O -100
crash O -100
the O -100
party O -100
at O -100
State O -100
Park O -100
. O -100

This O -100
a O -100
great O -100
place O -100
to O -100
go O -100
to O -100
be O -100
social O -100
with O -100
a O -100
group O -100
. O -100
I O -100
went O -100
yesterday O -100
and O -100
had O -100
to O -100
wait O -100
in O -100
line B-ASP -100
ten O -100
minutes O -100
just O -100
to O -100
get O -100
in O -100
, O -100
but O -100
no O -100
big O -100
deal O -100
, O -100
as O -100
the O -100
newest O -100
addition O -100
to O -100
Kendall O -100
Square O -100
the O -100
" O -100
new O -100
" O -100
factor O -100
of O -100
State O -100
Park O -100
delivers O -100
on O -100
the O -100
hype O -100
and O -100
is O -100
worth O -100
the O -100
wait B-ASP -100
! O -100
The O -100
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was O -100
packed O -100
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it O -100
somehow O -100
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not O -100
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only O -100
there O -100
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drinks O -100
I O -100
will O -100
be O -100
back O -100
for O -100
the O -100
southern O -100
food O -100
. O -100
The O -100
bar O -100
tenders B-ASP Positive
kept O -100
everyone O -100
happy O -100
in O -100
the O -100
crowded O -100
restaurant O -100
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with O -100
good O -100
Juke O -100
Box O -100
tunes O -100
, O -100
fun O -100
shuffle O -100
board O -100
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great O -100
decor O -100
all O -100
of O -100
the O -100
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a O -100
fun O -100
fueled O -100
night O -100
. O -100
Kudos O -100
to O -100
the O -100
female O -100
bartender O -100
for O -100
making O -100
me O -100
and O -100
my O -100
friends O -100
8 O -100
Moscow O -100
Mules O -100
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one O -100
great O -100
dirty O -100
Vodka O -100
Martini O -100
. O -100
The O -100
group O -100
all O -100
agreed O -100
delicious O -100
, O -100
8 O -100
for O -100
8 O -100
! O -100
A O -100
raucous O -100
good O -100
time O -100
in O -100
the O -100
always O -100
fun O -100
and O -100
classy O -100
Kendall O -100
Square O -100
. O -100
If O -100
you O -100
' O -100
re O -100
bar O -100
hopping O -100
near O -100
Inman O -100
and O -100
Kendall O -100
save O -100
yourself O -100
the O -100
walk O -100
to O -100
Central O -100
and O -100
crash O -100
the O -100
party O -100
at O -100
State O -100
Park O -100
. O -100

I O -100
just O -100
got O -100
done O -100
with O -100
lunch O -100
here O -100
. O -100
It O -100
has O -100
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okay O -100
in O -100
the O -100
past O -100
, O -100
but O -100
today O -100
, O -100
the O -100
service B-ASP Negative
was O -100
a O -100
failure O -100
on O -100
multiple O -100
levels O -100
. O -100
First O -100
, O -100
it O -100
look O -100
a O -100
long O -100
time B-ASP -100
for O -100
my O -100
food B-ASP -100
to O -100
come O -100
out O -100
, O -100
and O -100
the O -100
waitress B-ASP -100
initially O -100
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the O -100
wrong O -100
order O -100
. O -100
Then O -100
, O -100
it O -100
look O -100
20 O -100
minutes B-ASP -100
before O -100
I O -100
was O -100
able O -100
to O -100
chase O -100
down O -100
the O -100
waitress O -100
to O -100
pay O -100
my O -100
check O -100
. O -100
Finally O -100
, O -100
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I O -100
received O -100
my O -100
check O -100
, O -100
they O -100
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dinner O -100
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a O -100
lunch O -100
. O -100
I O -100
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running O -100
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the O -100
office O -100
, O -100
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I O -100
paid O -100
it O -100
, O -100
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all O -100
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inexcusable O -100
. O -100
I O -100
write O -100
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the O -100
hopes O -100
that O -100
you O -100
will O -100
take O -100
corrective O -100
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the O -100
lunch O -100
rush O -100
. O -100

I O -100
just O -100
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lunch O -100
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It O -100
has O -100
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okay O -100
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the O -100
past O -100
, O -100
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today O -100
, O -100
the O -100
service B-ASP -100
was O -100
a O -100
failure O -100
on O -100
multiple O -100
levels O -100
. O -100
First O -100
, O -100
it O -100
look O -100
a O -100
long O -100
time B-ASP Negative
for O -100
my O -100
food B-ASP -100
to O -100
come O -100
out O -100
, O -100
and O -100
the O -100
waitress B-ASP -100
initially O -100
brought O -100
the O -100
wrong O -100
order O -100
. O -100
Then O -100
, O -100
it O -100
look O -100
20 O -100
minutes B-ASP -100
before O -100
I O -100
was O -100
able O -100
to O -100
chase O -100
down O -100
the O -100
waitress O -100
to O -100
pay O -100
my O -100
check O -100
. O -100
Finally O -100
, O -100
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I O -100
received O -100
my O -100
check O -100
, O -100
they O -100
charged O -100
dinner O -100
pricing B-ASP -100
for O -100
a O -100
lunch O -100
. O -100
I O -100
was O -100
running O -100
late O -100
to O -100
get O -100
back O -100
to O -100
the O -100
office O -100
, O -100
so O -100
I O -100
paid O -100
it O -100
, O -100
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all O -100
said O -100
, O -100
the O -100
service B-ASP -100
was O -100
inexcusable O -100
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I O -100
write O -100
in O -100
the O -100
hopes O -100
that O -100
you O -100
will O -100
take O -100
corrective O -100
action O -100
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coaching O -100
your O -100
staff O -100
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hiring O -100
more O -100
people O -100
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the O -100
lunch O -100
rush O -100
. O -100

I O -100
just O -100
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lunch O -100
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It O -100
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the O -100
past O -100
, O -100
but O -100
today O -100
, O -100
the O -100
service B-ASP -100
was O -100
a O -100
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multiple O -100
levels O -100
. O -100
First O -100
, O -100
it O -100
look O -100
a O -100
long O -100
time B-ASP -100
for O -100
my O -100
food B-ASP Negative
to O -100
come O -100
out O -100
, O -100
and O -100
the O -100
waitress B-ASP -100
initially O -100
brought O -100
the O -100
wrong O -100
order O -100
. O -100
Then O -100
, O -100
it O -100
look O -100
20 O -100
minutes B-ASP -100
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I O -100
was O -100
able O -100
to O -100
chase O -100
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the O -100
waitress O -100
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pay O -100
my O -100
check O -100
. O -100
Finally O -100
, O -100
when O -100
I O -100
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my O -100
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, O -100
they O -100
charged O -100
dinner O -100
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for O -100
a O -100
lunch O -100
. O -100
I O -100
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the O -100
office O -100
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I O -100
paid O -100
it O -100
, O -100
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all O -100
said O -100
, O -100
the O -100
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I O -100
write O -100
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the O -100
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that O -100
you O -100
will O -100
take O -100
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your O -100
staff O -100
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hiring O -100
more O -100
people O -100
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the O -100
lunch O -100
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. O -100

I O -100
just O -100
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lunch O -100
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. O -100
It O -100
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okay O -100
in O -100
the O -100
past O -100
, O -100
but O -100
today O -100
, O -100
the O -100
service B-ASP -100
was O -100
a O -100
failure O -100
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multiple O -100
levels O -100
. O -100
First O -100
, O -100
it O -100
look O -100
a O -100
long O -100
time B-ASP -100
for O -100
my O -100
food B-ASP -100
to O -100
come O -100
out O -100
, O -100
and O -100
the O -100
waitress B-ASP Negative
initially O -100
brought O -100
the O -100
wrong O -100
order O -100
. O -100
Then O -100
, O -100
it O -100
look O -100
20 O -100
minutes B-ASP -100
before O -100
I O -100
was O -100
able O -100
to O -100
chase O -100
down O -100
the O -100
waitress O -100
to O -100
pay O -100
my O -100
check O -100
. O -100
Finally O -100
, O -100
when O -100
I O -100
received O -100
my O -100
check O -100
, O -100
they O -100
charged O -100
dinner O -100
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a O -100
lunch O -100
. O -100
I O -100
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the O -100
office O -100
, O -100
so O -100
I O -100
paid O -100
it O -100
, O -100
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all O -100
said O -100
, O -100
the O -100
service B-ASP -100
was O -100
inexcusable O -100
. O -100
I O -100
write O -100
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the O -100
hopes O -100
that O -100
you O -100
will O -100
take O -100
corrective O -100
action O -100
, O -100
whether O -100
in O -100
coaching O -100
your O -100
staff O -100
, O -100
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hiring O -100
more O -100
people O -100
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the O -100
lunch O -100
rush O -100
. O -100

I O -100
just O -100
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with O -100
lunch O -100
here O -100
. O -100
It O -100
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in O -100
the O -100
past O -100
, O -100
but O -100
today O -100
, O -100
the O -100
service B-ASP -100
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a O -100
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multiple O -100
levels O -100
. O -100
First O -100
, O -100
it O -100
look O -100
a O -100
long O -100
time B-ASP -100
for O -100
my O -100
food B-ASP -100
to O -100
come O -100
out O -100
, O -100
and O -100
the O -100
waitress B-ASP -100
initially O -100
brought O -100
the O -100
wrong O -100
order O -100
. O -100
Then O -100
, O -100
it O -100
look O -100
20 O -100
minutes B-ASP Negative
before O -100
I O -100
was O -100
able O -100
to O -100
chase O -100
down O -100
the O -100
waitress O -100
to O -100
pay O -100
my O -100
check O -100
. O -100
Finally O -100
, O -100
when O -100
I O -100
received O -100
my O -100
check O -100
, O -100
they O -100
charged O -100
dinner O -100
pricing B-ASP -100
for O -100
a O -100
lunch O -100
. O -100
I O -100
was O -100
running O -100
late O -100
to O -100
get O -100
back O -100
to O -100
the O -100
office O -100
, O -100
so O -100
I O -100
paid O -100
it O -100
, O -100
but O -100
all O -100
said O -100
, O -100
the O -100
service B-ASP -100
was O -100
inexcusable O -100
. O -100
I O -100
write O -100
in O -100
the O -100
hopes O -100
that O -100
you O -100
will O -100
take O -100
corrective O -100
action O -100
, O -100
whether O -100
in O -100
coaching O -100
your O -100
staff O -100
, O -100
or O -100
hiring O -100
more O -100
people O -100
for O -100
the O -100
lunch O -100
rush O -100
. O -100

I O -100
just O -100
got O -100
done O -100
with O -100
lunch O -100
here O -100
. O -100
It O -100
has O -100
been O -100
okay O -100
in O -100
the O -100
past O -100
, O -100
but O -100
today O -100
, O -100
the O -100
service B-ASP -100
was O -100
a O -100
failure O -100
on O -100
multiple O -100
levels O -100
. O -100
First O -100
, O -100
it O -100
look O -100
a O -100
long O -100
time B-ASP -100
for O -100
my O -100
food B-ASP -100
to O -100
come O -100
out O -100
, O -100
and O -100
the O -100
waitress B-ASP -100
initially O -100
brought O -100
the O -100
wrong O -100
order O -100
. O -100
Then O -100
, O -100
it O -100
look O -100
20 O -100
minutes B-ASP -100
before O -100
I O -100
was O -100
able O -100
to O -100
chase O -100
down O -100
the O -100
waitress O -100
to O -100
pay O -100
my O -100
check O -100
. O -100
Finally O -100
, O -100
when O -100
I O -100
received O -100
my O -100
check O -100
, O -100
they O -100
charged O -100
dinner O -100
pricing B-ASP Negative
for O -100
a O -100
lunch O -100
. O -100
I O -100
was O -100
running O -100
late O -100
to O -100
get O -100
back O -100
to O -100
the O -100
office O -100
, O -100
so O -100
I O -100
paid O -100
it O -100
, O -100
but O -100
all O -100
said O -100
, O -100
the O -100
service B-ASP -100
was O -100
inexcusable O -100
. O -100
I O -100
write O -100
in O -100
the O -100
hopes O -100
that O -100
you O -100
will O -100
take O -100
corrective O -100
action O -100
, O -100
whether O -100
in O -100
coaching O -100
your O -100
staff O -100
, O -100
or O -100
hiring O -100
more O -100
people O -100
for O -100
the O -100
lunch O -100
rush O -100
. O -100

I O -100
just O -100
got O -100
done O -100
with O -100
lunch O -100
here O -100
. O -100
It O -100
has O -100
been O -100
okay O -100
in O -100
the O -100
past O -100
, O -100
but O -100
today O -100
, O -100
the O -100
service B-ASP -100
was O -100
a O -100
failure O -100
on O -100
multiple O -100
levels O -100
. O -100
First O -100
, O -100
it O -100
look O -100
a O -100
long O -100
time B-ASP -100
for O -100
my O -100
food B-ASP -100
to O -100
come O -100
out O -100
, O -100
and O -100
the O -100
waitress B-ASP -100
initially O -100
brought O -100
the O -100
wrong O -100
order O -100
. O -100
Then O -100
, O -100
it O -100
look O -100
20 O -100
minutes B-ASP -100
before O -100
I O -100
was O -100
able O -100
to O -100
chase O -100
down O -100
the O -100
waitress O -100
to O -100
pay O -100
my O -100
check O -100
. O -100
Finally O -100
, O -100
when O -100
I O -100
received O -100
my O -100
check O -100
, O -100
they O -100
charged O -100
dinner O -100
pricing B-ASP -100
for O -100
a O -100
lunch O -100
. O -100
I O -100
was O -100
running O -100
late O -100
to O -100
get O -100
back O -100
to O -100
the O -100
office O -100
, O -100
so O -100
I O -100
paid O -100
it O -100
, O -100
but O -100
all O -100
said O -100
, O -100
the O -100
service B-ASP Negative
was O -100
inexcusable O -100
. O -100
I O -100
write O -100
in O -100
the O -100
hopes O -100
that O -100
you O -100
will O -100
take O -100
corrective O -100
action O -100
, O -100
whether O -100
in O -100
coaching O -100
your O -100
staff O -100
, O -100
or O -100
hiring O -100
more O -100
people O -100
for O -100
the O -100
lunch O -100
rush O -100
. O -100

Brasserie O -100
zero O -100
zero O -100
. O -100
. O -100
. O -100
we O -100
were O -100
hoping O -100
for O -100
a O -100
ten O -100
based O -100
on O -100
how O -100
highly O -100
recommended O -100
it O -100
was O -100
however O -100
, O -100
we O -100
were O -100
very O -100
disappointed O -100
with O -100
the O -100
quality O -100
of O -100
the O -100
food B-ASP Negative
. O -100
We O -100
ordered O -100
escargot O -100
and O -100
artichoke O -100
to O -100
start O -100
. O -100
Escargot O -100
was O -100
covered O -100
in O -100
a O -100
bitter O -100
green O -100
sauce O -100
butter O -100
and O -100
garlic O -100
would O -100
have O -100
really O -100
helped O -100
. O -100
The O -100
artichoke O -100
wasn O -100
' O -100
t O -100
cooked O -100
properly O -100
and O -100
was O -100
minimally O -100
seasoned O -100
. O -100
It O -100
was O -100
also O -100
small O -100
portions B-ASP -100
, O -100
about O -100
a O -100
fourth O -100
of O -100
an O -100
artichoke O -100
in O -100
size O -100
. O -100
Even O -100
after O -100
sending O -100
back O -100
the O -100
artichoke O -100
it O -100
still O -100
was O -100
tough O -100
and O -100
not O -100
fully O -100
cooked O -100
. O -100
We O -100
ordered O -100
the O -100
lamb O -100
chops O -100
for O -100
our O -100
main O -100
with O -100
a O -100
side O -100
of O -100
mashed O -100
potatoes O -100
. O -100
The O -100
potatoes O -100
were O -100
sour O -100
and O -100
not O -100
as O -100
creamy O -100
as O -100
expected O -100
. O -100
For O -100
$ B-ASP -100
35 O -100
we O -100
received O -100
two O -100
lamb O -100
chops O -100
with O -100
a O -100
tasty O -100
mustard O -100
sauce O -100
but O -100
the O -100
accompanying O -100
vegetables O -100
were O -100
tasteless O -100
and O -100
again O -100
, O -100
disappointing O -100
. O -100
The O -100
ambiance O -100
and O -100
service B-ASP -100
was O -100
great O -100
and O -100
we O -100
had O -100
a O -100
yummy O -100
creme O -100
br O -100
< O -100
U O -100
+ O -100
00FB O -100
> O -100
l O -100
é O -100
e O -100
brought O -100
to O -100
our O -100
table O -100
for O -100
the O -100
birthday O -100
we O -100
were O -100
celebrating O -100
but O -100
we O -100
wished O -100
the O -100
rest O -100
of O -100
the O -100
meal O -100
had O -100
lived O -100
up O -100
to O -100
the O -100
hype O -100
. O -100

Brasserie O -100
zero O -100
zero O -100
. O -100
. O -100
. O -100
we O -100
were O -100
hoping O -100
for O -100
a O -100
ten O -100
based O -100
on O -100
how O -100
highly O -100
recommended O -100
it O -100
was O -100
however O -100
, O -100
we O -100
were O -100
very O -100
disappointed O -100
with O -100
the O -100
quality O -100
of O -100
the O -100
food B-ASP -100
. O -100
We O -100
ordered O -100
escargot O -100
and O -100
artichoke O -100
to O -100
start O -100
. O -100
Escargot O -100
was O -100
covered O -100
in O -100
a O -100
bitter O -100
green O -100
sauce O -100
butter O -100
and O -100
garlic O -100
would O -100
have O -100
really O -100
helped O -100
. O -100
The O -100
artichoke O -100
wasn O -100
' O -100
t O -100
cooked O -100
properly O -100
and O -100
was O -100
minimally O -100
seasoned O -100
. O -100
It O -100
was O -100
also O -100
small O -100
portions B-ASP Negative
, O -100
about O -100
a O -100
fourth O -100
of O -100
an O -100
artichoke O -100
in O -100
size O -100
. O -100
Even O -100
after O -100
sending O -100
back O -100
the O -100
artichoke O -100
it O -100
still O -100
was O -100
tough O -100
and O -100
not O -100
fully O -100
cooked O -100
. O -100
We O -100
ordered O -100
the O -100
lamb O -100
chops O -100
for O -100
our O -100
main O -100
with O -100
a O -100
side O -100
of O -100
mashed O -100
potatoes O -100
. O -100
The O -100
potatoes O -100
were O -100
sour O -100
and O -100
not O -100
as O -100
creamy O -100
as O -100
expected O -100
. O -100
For O -100
$ B-ASP -100
35 O -100
we O -100
received O -100
two O -100
lamb O -100
chops O -100
with O -100
a O -100
tasty O -100
mustard O -100
sauce O -100
but O -100
the O -100
accompanying O -100
vegetables O -100
were O -100
tasteless O -100
and O -100
again O -100
, O -100
disappointing O -100
. O -100
The O -100
ambiance O -100
and O -100
service B-ASP -100
was O -100
great O -100
and O -100
we O -100
had O -100
a O -100
yummy O -100
creme O -100
br O -100
< O -100
U O -100
+ O -100
00FB O -100
> O -100
l O -100
é O -100
e O -100
brought O -100
to O -100
our O -100
table O -100
for O -100
the O -100
birthday O -100
we O -100
were O -100
celebrating O -100
but O -100
we O -100
wished O -100
the O -100
rest O -100
of O -100
the O -100
meal O -100
had O -100
lived O -100
up O -100
to O -100
the O -100
hype O -100
. O -100

Brasserie O -100
zero O -100
zero O -100
. O -100
. O -100
. O -100
we O -100
were O -100
hoping O -100
for O -100
a O -100
ten O -100
based O -100
on O -100
how O -100
highly O -100
recommended O -100
it O -100
was O -100
however O -100
, O -100
we O -100
were O -100
very O -100
disappointed O -100
with O -100
the O -100
quality O -100
of O -100
the O -100
food B-ASP -100
. O -100
We O -100
ordered O -100
escargot O -100
and O -100
artichoke O -100
to O -100
start O -100
. O -100
Escargot O -100
was O -100
covered O -100
in O -100
a O -100
bitter O -100
green O -100
sauce O -100
butter O -100
and O -100
garlic O -100
would O -100
have O -100
really O -100
helped O -100
. O -100
The O -100
artichoke O -100
wasn O -100
' O -100
t O -100
cooked O -100
properly O -100
and O -100
was O -100
minimally O -100
seasoned O -100
. O -100
It O -100
was O -100
also O -100
small O -100
portions B-ASP -100
, O -100
about O -100
a O -100
fourth O -100
of O -100
an O -100
artichoke O -100
in O -100
size O -100
. O -100
Even O -100
after O -100
sending O -100
back O -100
the O -100
artichoke O -100
it O -100
still O -100
was O -100
tough O -100
and O -100
not O -100
fully O -100
cooked O -100
. O -100
We O -100
ordered O -100
the O -100
lamb O -100
chops O -100
for O -100
our O -100
main O -100
with O -100
a O -100
side O -100
of O -100
mashed O -100
potatoes O -100
. O -100
The O -100
potatoes O -100
were O -100
sour O -100
and O -100
not O -100
as O -100
creamy O -100
as O -100
expected O -100
. O -100
For O -100
$ B-ASP Negative
35 O -100
we O -100
received O -100
two O -100
lamb O -100
chops O -100
with O -100
a O -100
tasty O -100
mustard O -100
sauce O -100
but O -100
the O -100
accompanying O -100
vegetables O -100
were O -100
tasteless O -100
and O -100
again O -100
, O -100
disappointing O -100
. O -100
The O -100
ambiance O -100
and O -100
service B-ASP -100
was O -100
great O -100
and O -100
we O -100
had O -100
a O -100
yummy O -100
creme O -100
br O -100
< O -100
U O -100
+ O -100
00FB O -100
> O -100
l O -100
é O -100
e O -100
brought O -100
to O -100
our O -100
table O -100
for O -100
the O -100
birthday O -100
we O -100
were O -100
celebrating O -100
but O -100
we O -100
wished O -100
the O -100
rest O -100
of O -100
the O -100
meal O -100
had O -100
lived O -100
up O -100
to O -100
the O -100
hype O -100
. O -100

Brasserie O -100
zero O -100
zero O -100
. O -100
. O -100
. O -100
we O -100
were O -100
hoping O -100
for O -100
a O -100
ten O -100
based O -100
on O -100
how O -100
highly O -100
recommended O -100
it O -100
was O -100
however O -100
, O -100
we O -100
were O -100
very O -100
disappointed O -100
with O -100
the O -100
quality O -100
of O -100
the O -100
food B-ASP -100
. O -100
We O -100
ordered O -100
escargot O -100
and O -100
artichoke O -100
to O -100
start O -100
. O -100
Escargot O -100
was O -100
covered O -100
in O -100
a O -100
bitter O -100
green O -100
sauce O -100
butter O -100
and O -100
garlic O -100
would O -100
have O -100
really O -100
helped O -100
. O -100
The O -100
artichoke O -100
wasn O -100
' O -100
t O -100
cooked O -100
properly O -100
and O -100
was O -100
minimally O -100
seasoned O -100
. O -100
It O -100
was O -100
also O -100
small O -100
portions B-ASP -100
, O -100
about O -100
a O -100
fourth O -100
of O -100
an O -100
artichoke O -100
in O -100
size O -100
. O -100
Even O -100
after O -100
sending O -100
back O -100
the O -100
artichoke O -100
it O -100
still O -100
was O -100
tough O -100
and O -100
not O -100
fully O -100
cooked O -100
. O -100
We O -100
ordered O -100
the O -100
lamb O -100
chops O -100
for O -100
our O -100
main O -100
with O -100
a O -100
side O -100
of O -100
mashed O -100
potatoes O -100
. O -100
The O -100
potatoes O -100
were O -100
sour O -100
and O -100
not O -100
as O -100
creamy O -100
as O -100
expected O -100
. O -100
For O -100
$ B-ASP -100
35 O -100
we O -100
received O -100
two O -100
lamb O -100
chops O -100
with O -100
a O -100
tasty O -100
mustard O -100
sauce O -100
but O -100
the O -100
accompanying O -100
vegetables O -100
were O -100
tasteless O -100
and O -100
again O -100
, O -100
disappointing O -100
. O -100
The O -100
ambiance O -100
and O -100
service B-ASP Positive
was O -100
great O -100
and O -100
we O -100
had O -100
a O -100
yummy O -100
creme O -100
br O -100
< O -100
U O -100
+ O -100
00FB O -100
> O -100
l O -100
é O -100
e O -100
brought O -100
to O -100
our O -100
table O -100
for O -100
the O -100
birthday O -100
we O -100
were O -100
celebrating O -100
but O -100
we O -100
wished O -100
the O -100
rest O -100
of O -100
the O -100
meal O -100
had O -100
lived O -100
up O -100
to O -100
the O -100
hype O -100
. O -100

My O -100
husband O -100
and O -100
I O -100
shared O -100
the O -100
parmesan O -100
truffly O -100
fries B-ASP Positive
. O -100
They O -100
were O -100
pretty O -100
good O -100
and O -100
plentiful O -100
. O -100
Two O -100
to O -100
three O -100
can O -100
definitely O -100
share O -100
. O -100
I O -100
' O -100
m O -100
a O -100
vegetarian O -100
and O -100
was O -100
going O -100
to O -100
order O -100
the O -100
La O -100
Bandita O -100
. O -100
However O -100
, O -100
the O -100
waitress O -100
suggested O -100
the O -100
goodnight O -100
burger O -100
with O -100
a O -100
veggie O -100
patty O -100
. O -100
It O -100
sounded O -100
great O -100
so O -100
I O -100
opted O -100
to O -100
try O -100
it O -100
. O -100
After O -100
all O -100
, O -100
this O -100
was O -100
my O -100
first O -100
visit O -100
to O -100
a O -100
Hopdoddy O -100
and O -100
she O -100
would O -100
know O -100
better O -100
than O -100
I O -100
would O -100
. O -100
Despite O -100
the O -100
different O -100
elements O -100
, O -100
the O -100
burger B-ASP -100
to O -100
me O -100
was O -100
very O -100
bland O -100
. O -100
The O -100
patty B-ASP -100
didn O -100
' O -100
t O -100
have O -100
much O -100
flavor O -100
and O -100
there O -100
wasn O -100
' O -100
t O -100
much O -100
sauce O -100
. O -100
( O -100
When O -100
the O -100
waitress O -100
pitched O -100
the O -100
burger O -100
, O -100
she O -100
said O -100
it O -100
have O -100
more O -100
flavor O -100
than O -100
the O -100
La O -100
Bandita O -100
because O -100
of O -100
the O -100
sauce O -100
. O -100
Since O -100
I O -100
' O -100
m O -100
all O -100
about O -100
the O -100
sauce O -100
, O -100
it O -100
helped O -100
to O -100
sell O -100
me O -100
on O -100
this O -100
burger O -100
. O -100
) O -100
Just O -100
a O -100
note O -100
on O -100
the O -100
Impossible O -100
burger O -100
: O -100
I O -100
' O -100
m O -100
a O -100
vegetarian O -100
that O -100
does O -100
not O -100
miss O -100
meat O -100
or O -100
the O -100
flavor O -100
of O -100
meat O -100
. O -100
Because O -100
this O -100
burger O -100
tries O -100
to O -100
replicate O -100
the O -100
texture O -100
and O -100
flavor O -100
or O -100
meat O -100
, O -100
it O -100
really O -100
turned O -100
me O -100
off O -100
. O -100
My O -100
husband O -100
went O -100
with O -100
the O -100
classic O -100
and O -100
added O -100
bacon O -100
and O -100
cheese O -100
. O -100
The O -100
burger O -100
arrived O -100
with O -100
only O -100
cheese O -100
( O -100
no O -100
bacon O -100
) O -100
. O -100
He O -100
said O -100
it O -100
was O -100
alright O -100
but O -100
he O -100
didn O -100
' O -100
t O -100
rave O -100
about O -100
it O -100
in O -100
a O -100
way O -100
that O -100
told O -100
me O -100
he O -100
was O -100
in O -100
love O -100
with O -100
it O -100
. O -100
We O -100
ordered O -100
a O -100
banana O -100
shake O -100
that O -100
was O -100
one O -100
of O -100
their O -100
feature O -100
items O -100
. O -100
It O -100
wasn O -100
' O -100
t O -100
as O -100
thick O -100
and O -100
not O -100
ice O -100
cold O -100
as O -100
we O -100
would O -100
expect O -100
for O -100
a O -100
shake O -100
. O -100
It O -100
was O -100
much O -100
closer O -100
to O -100
room O -100
temperature O -100
and O -100
had O -100
a O -100
thin O -100
consistency O -100
. O -100
Would O -100
I O -100
go O -100
back O -100
? O -100
Maybe O -100
. O -100
I O -100
would O -100
definitely O -100
try O -100
the O -100
La O -100
Bandita O -100
to O -100
give O -100
that O -100
burger O -100
a O -100
shot O -100
. O -100
A O -100
quick O -100
note O -100
about O -100
the O -100
line B-ASP -100
: O -100
it O -100
moved O -100
pretty O -100
quickly O -100
. O -100
Once O -100
we O -100
got O -100
inside O -100
, O -100
a O -100
couple O -100
of O -100
spots O -100
opened O -100
up O -100
at O -100
the O -100
bar O -100
and O -100
the O -100
waitress O -100
invited O -100
us O -100
over O -100
to O -100
sit O -100
there O -100
. O -100
We O -100
jumped O -100
at O -100
the O -100
opportunity O -100
and O -100
saved O -100
about O -100
another O -100
10 O -100
minutes O -100
in O -100
line B-ASP -100
. O -100

My O -100
husband O -100
and O -100
I O -100
shared O -100
the O -100
parmesan O -100
truffly O -100
fries B-ASP -100
. O -100
They O -100
were O -100
pretty O -100
good O -100
and O -100
plentiful O -100
. O -100
Two O -100
to O -100
three O -100
can O -100
definitely O -100
share O -100
. O -100
I O -100
' O -100
m O -100
a O -100
vegetarian O -100
and O -100
was O -100
going O -100
to O -100
order O -100
the O -100
La O -100
Bandita O -100
. O -100
However O -100
, O -100
the O -100
waitress O -100
suggested O -100
the O -100
goodnight O -100
burger O -100
with O -100
a O -100
veggie O -100
patty O -100
. O -100
It O -100
sounded O -100
great O -100
so O -100
I O -100
opted O -100
to O -100
try O -100
it O -100
. O -100
After O -100
all O -100
, O -100
this O -100
was O -100
my O -100
first O -100
visit O -100
to O -100
a O -100
Hopdoddy O -100
and O -100
she O -100
would O -100
know O -100
better O -100
than O -100
I O -100
would O -100
. O -100
Despite O -100
the O -100
different O -100
elements O -100
, O -100
the O -100
burger B-ASP Negative
to O -100
me O -100
was O -100
very O -100
bland O -100
. O -100
The O -100
patty B-ASP -100
didn O -100
' O -100
t O -100
have O -100
much O -100
flavor O -100
and O -100
there O -100
wasn O -100
' O -100
t O -100
much O -100
sauce O -100
. O -100
( O -100
When O -100
the O -100
waitress O -100
pitched O -100
the O -100
burger O -100
, O -100
she O -100
said O -100
it O -100
have O -100
more O -100
flavor O -100
than O -100
the O -100
La O -100
Bandita O -100
because O -100
of O -100
the O -100
sauce O -100
. O -100
Since O -100
I O -100
' O -100
m O -100
all O -100
about O -100
the O -100
sauce O -100
, O -100
it O -100
helped O -100
to O -100
sell O -100
me O -100
on O -100
this O -100
burger O -100
. O -100
) O -100
Just O -100
a O -100
note O -100
on O -100
the O -100
Impossible O -100
burger O -100
: O -100
I O -100
' O -100
m O -100
a O -100
vegetarian O -100
that O -100
does O -100
not O -100
miss O -100
meat O -100
or O -100
the O -100
flavor O -100
of O -100
meat O -100
. O -100
Because O -100
this O -100
burger O -100
tries O -100
to O -100
replicate O -100
the O -100
texture O -100
and O -100
flavor O -100
or O -100
meat O -100
, O -100
it O -100
really O -100
turned O -100
me O -100
off O -100
. O -100
My O -100
husband O -100
went O -100
with O -100
the O -100
classic O -100
and O -100
added O -100
bacon O -100
and O -100
cheese O -100
. O -100
The O -100
burger O -100
arrived O -100
with O -100
only O -100
cheese O -100
( O -100
no O -100
bacon O -100
) O -100
. O -100
He O -100
said O -100
it O -100
was O -100
alright O -100
but O -100
he O -100
didn O -100
' O -100
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rave O -100
about O -100
it O -100
in O -100
a O -100
way O -100
that O -100
told O -100
me O -100
he O -100
was O -100
in O -100
love O -100
with O -100
it O -100
. O -100
We O -100
ordered O -100
a O -100
banana O -100
shake O -100
that O -100
was O -100
one O -100
of O -100
their O -100
feature O -100
items O -100
. O -100
It O -100
wasn O -100
' O -100
t O -100
as O -100
thick O -100
and O -100
not O -100
ice O -100
cold O -100
as O -100
we O -100
would O -100
expect O -100
for O -100
a O -100
shake O -100
. O -100
It O -100
was O -100
much O -100
closer O -100
to O -100
room O -100
temperature O -100
and O -100
had O -100
a O -100
thin O -100
consistency O -100
. O -100
Would O -100
I O -100
go O -100
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. O -100
I O -100
would O -100
definitely O -100
try O -100
the O -100
La O -100
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to O -100
give O -100
that O -100
burger O -100
a O -100
shot O -100
. O -100
A O -100
quick O -100
note O -100
about O -100
the O -100
line B-ASP -100
: O -100
it O -100
moved O -100
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. O -100
Once O -100
we O -100
got O -100
inside O -100
, O -100
a O -100
couple O -100
of O -100
spots O -100
opened O -100
up O -100
at O -100
the O -100
bar O -100
and O -100
the O -100
waitress O -100
invited O -100
us O -100
over O -100
to O -100
sit O -100
there O -100
. O -100
We O -100
jumped O -100
at O -100
the O -100
opportunity O -100
and O -100
saved O -100
about O -100
another O -100
10 O -100
minutes O -100
in O -100
line B-ASP -100
. O -100

My O -100
husband O -100
and O -100
I O -100
shared O -100
the O -100
parmesan O -100
truffly O -100
fries B-ASP -100
. O -100
They O -100
were O -100
pretty O -100
good O -100
and O -100
plentiful O -100
. O -100
Two O -100
to O -100
three O -100
can O -100
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share O -100
. O -100
I O -100
' O -100
m O -100
a O -100
vegetarian O -100
and O -100
was O -100
going O -100
to O -100
order O -100
the O -100
La O -100
Bandita O -100
. O -100
However O -100
, O -100
the O -100
waitress O -100
suggested O -100
the O -100
goodnight O -100
burger O -100
with O -100
a O -100
veggie O -100
patty O -100
. O -100
It O -100
sounded O -100
great O -100
so O -100
I O -100
opted O -100
to O -100
try O -100
it O -100
. O -100
After O -100
all O -100
, O -100
this O -100
was O -100
my O -100
first O -100
visit O -100
to O -100
a O -100
Hopdoddy O -100
and O -100
she O -100
would O -100
know O -100
better O -100
than O -100
I O -100
would O -100
. O -100
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the O -100
different O -100
elements O -100
, O -100
the O -100
burger B-ASP -100
to O -100
me O -100
was O -100
very O -100
bland O -100
. O -100
The O -100
patty B-ASP Negative
didn O -100
' O -100
t O -100
have O -100
much O -100
flavor O -100
and O -100
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' O -100
t O -100
much O -100
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. O -100
( O -100
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the O -100
waitress O -100
pitched O -100
the O -100
burger O -100
, O -100
she O -100
said O -100
it O -100
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more O -100
flavor O -100
than O -100
the O -100
La O -100
Bandita O -100
because O -100
of O -100
the O -100
sauce O -100
. O -100
Since O -100
I O -100
' O -100
m O -100
all O -100
about O -100
the O -100
sauce O -100
, O -100
it O -100
helped O -100
to O -100
sell O -100
me O -100
on O -100
this O -100
burger O -100
. O -100
) O -100
Just O -100
a O -100
note O -100
on O -100
the O -100
Impossible O -100
burger O -100
: O -100
I O -100
' O -100
m O -100
a O -100
vegetarian O -100
that O -100
does O -100
not O -100
miss O -100
meat O -100
or O -100
the O -100
flavor O -100
of O -100
meat O -100
. O -100
Because O -100
this O -100
burger O -100
tries O -100
to O -100
replicate O -100
the O -100
texture O -100
and O -100
flavor O -100
or O -100
meat O -100
, O -100
it O -100
really O -100
turned O -100
me O -100
off O -100
. O -100
My O -100
husband O -100
went O -100
with O -100
the O -100
classic O -100
and O -100
added O -100
bacon O -100
and O -100
cheese O -100
. O -100
The O -100
burger O -100
arrived O -100
with O -100
only O -100
cheese O -100
( O -100
no O -100
bacon O -100
) O -100
. O -100
He O -100
said O -100
it O -100
was O -100
alright O -100
but O -100
he O -100
didn O -100
' O -100
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rave O -100
about O -100
it O -100
in O -100
a O -100
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that O -100
told O -100
me O -100
he O -100
was O -100
in O -100
love O -100
with O -100
it O -100
. O -100
We O -100
ordered O -100
a O -100
banana O -100
shake O -100
that O -100
was O -100
one O -100
of O -100
their O -100
feature O -100
items O -100
. O -100
It O -100
wasn O -100
' O -100
t O -100
as O -100
thick O -100
and O -100
not O -100
ice O -100
cold O -100
as O -100
we O -100
would O -100
expect O -100
for O -100
a O -100
shake O -100
. O -100
It O -100
was O -100
much O -100
closer O -100
to O -100
room O -100
temperature O -100
and O -100
had O -100
a O -100
thin O -100
consistency O -100
. O -100
Would O -100
I O -100
go O -100
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. O -100
I O -100
would O -100
definitely O -100
try O -100
the O -100
La O -100
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to O -100
give O -100
that O -100
burger O -100
a O -100
shot O -100
. O -100
A O -100
quick O -100
note O -100
about O -100
the O -100
line B-ASP -100
: O -100
it O -100
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. O -100
Once O -100
we O -100
got O -100
inside O -100
, O -100
a O -100
couple O -100
of O -100
spots O -100
opened O -100
up O -100
at O -100
the O -100
bar O -100
and O -100
the O -100
waitress O -100
invited O -100
us O -100
over O -100
to O -100
sit O -100
there O -100
. O -100
We O -100
jumped O -100
at O -100
the O -100
opportunity O -100
and O -100
saved O -100
about O -100
another O -100
10 O -100
minutes O -100
in O -100
line B-ASP -100
. O -100

My O -100
husband O -100
and O -100
I O -100
shared O -100
the O -100
parmesan O -100
truffly O -100
fries B-ASP -100
. O -100
They O -100
were O -100
pretty O -100
good O -100
and O -100
plentiful O -100
. O -100
Two O -100
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three O -100
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. O -100
I O -100
' O -100
m O -100
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and O -100
was O -100
going O -100
to O -100
order O -100
the O -100
La O -100
Bandita O -100
. O -100
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, O -100
the O -100
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suggested O -100
the O -100
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burger O -100
with O -100
a O -100
veggie O -100
patty O -100
. O -100
It O -100
sounded O -100
great O -100
so O -100
I O -100
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to O -100
try O -100
it O -100
. O -100
After O -100
all O -100
, O -100
this O -100
was O -100
my O -100
first O -100
visit O -100
to O -100
a O -100
Hopdoddy O -100
and O -100
she O -100
would O -100
know O -100
better O -100
than O -100
I O -100
would O -100
. O -100
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the O -100
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elements O -100
, O -100
the O -100
burger B-ASP -100
to O -100
me O -100
was O -100
very O -100
bland O -100
. O -100
The O -100
patty B-ASP -100
didn O -100
' O -100
t O -100
have O -100
much O -100
flavor O -100
and O -100
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. O -100
( O -100
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the O -100
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pitched O -100
the O -100
burger O -100
, O -100
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said O -100
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more O -100
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than O -100
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La O -100
Bandita O -100
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of O -100
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. O -100
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I O -100
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, O -100
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me O -100
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burger O -100
. O -100
) O -100
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note O -100
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the O -100
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burger O -100
: O -100
I O -100
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that O -100
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not O -100
miss O -100
meat O -100
or O -100
the O -100
flavor O -100
of O -100
meat O -100
. O -100
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this O -100
burger O -100
tries O -100
to O -100
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the O -100
texture O -100
and O -100
flavor O -100
or O -100
meat O -100
, O -100
it O -100
really O -100
turned O -100
me O -100
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. O -100
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husband O -100
went O -100
with O -100
the O -100
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and O -100
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bacon O -100
and O -100
cheese O -100
. O -100
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burger O -100
arrived O -100
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only O -100
cheese O -100
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. O -100
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he O -100
didn O -100
' O -100
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rave O -100
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in O -100
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me O -100
he O -100
was O -100
in O -100
love O -100
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it O -100
. O -100
We O -100
ordered O -100
a O -100
banana O -100
shake O -100
that O -100
was O -100
one O -100
of O -100
their O -100
feature O -100
items O -100
. O -100
It O -100
wasn O -100
' O -100
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and O -100
not O -100
ice O -100
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would O -100
expect O -100
for O -100
a O -100
shake O -100
. O -100
It O -100
was O -100
much O -100
closer O -100
to O -100
room O -100
temperature O -100
and O -100
had O -100
a O -100
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consistency O -100
. O -100
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I O -100
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the O -100
La O -100
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a O -100
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. O -100
A O -100
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the O -100
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: O -100
it O -100
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. O -100
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we O -100
got O -100
inside O -100
, O -100
a O -100
couple O -100
of O -100
spots O -100
opened O -100
up O -100
at O -100
the O -100
bar O -100
and O -100
the O -100
waitress O -100
invited O -100
us O -100
over O -100
to O -100
sit O -100
there O -100
. O -100
We O -100
jumped O -100
at O -100
the O -100
opportunity O -100
and O -100
saved O -100
about O -100
another O -100
10 O -100
minutes O -100
in O -100
line B-ASP -100
. O -100

My O -100
husband O -100
and O -100
I O -100
shared O -100
the O -100
parmesan O -100
truffly O -100
fries B-ASP -100
. O -100
They O -100
were O -100
pretty O -100
good O -100
and O -100
plentiful O -100
. O -100
Two O -100
to O -100
three O -100
can O -100
definitely O -100
share O -100
. O -100
I O -100
' O -100
m O -100
a O -100
vegetarian O -100
and O -100
was O -100
going O -100
to O -100
order O -100
the O -100
La O -100
Bandita O -100
. O -100
However O -100
, O -100
the O -100
waitress O -100
suggested O -100
the O -100
goodnight O -100
burger O -100
with O -100
a O -100
veggie O -100
patty O -100
. O -100
It O -100
sounded O -100
great O -100
so O -100
I O -100
opted O -100
to O -100
try O -100
it O -100
. O -100
After O -100
all O -100
, O -100
this O -100
was O -100
my O -100
first O -100
visit O -100
to O -100
a O -100
Hopdoddy O -100
and O -100
she O -100
would O -100
know O -100
better O -100
than O -100
I O -100
would O -100
. O -100
Despite O -100
the O -100
different O -100
elements O -100
, O -100
the O -100
burger B-ASP -100
to O -100
me O -100
was O -100
very O -100
bland O -100
. O -100
The O -100
patty B-ASP -100
didn O -100
' O -100
t O -100
have O -100
much O -100
flavor O -100
and O -100
there O -100
wasn O -100
' O -100
t O -100
much O -100
sauce O -100
. O -100
( O -100
When O -100
the O -100
waitress O -100
pitched O -100
the O -100
burger O -100
, O -100
she O -100
said O -100
it O -100
have O -100
more O -100
flavor O -100
than O -100
the O -100
La O -100
Bandita O -100
because O -100
of O -100
the O -100
sauce O -100
. O -100
Since O -100
I O -100
' O -100
m O -100
all O -100
about O -100
the O -100
sauce O -100
, O -100
it O -100
helped O -100
to O -100
sell O -100
me O -100
on O -100
this O -100
burger O -100
. O -100
) O -100
Just O -100
a O -100
note O -100
on O -100
the O -100
Impossible O -100
burger O -100
: O -100
I O -100
' O -100
m O -100
a O -100
vegetarian O -100
that O -100
does O -100
not O -100
miss O -100
meat O -100
or O -100
the O -100
flavor O -100
of O -100
meat O -100
. O -100
Because O -100
this O -100
burger O -100
tries O -100
to O -100
replicate O -100
the O -100
texture O -100
and O -100
flavor O -100
or O -100
meat O -100
, O -100
it O -100
really O -100
turned O -100
me O -100
off O -100
. O -100
My O -100
husband O -100
went O -100
with O -100
the O -100
classic O -100
and O -100
added O -100
bacon O -100
and O -100
cheese O -100
. O -100
The O -100
burger O -100
arrived O -100
with O -100
only O -100
cheese O -100
( O -100
no O -100
bacon O -100
) O -100
. O -100
He O -100
said O -100
it O -100
was O -100
alright O -100
but O -100
he O -100
didn O -100
' O -100
t O -100
rave O -100
about O -100
it O -100
in O -100
a O -100
way O -100
that O -100
told O -100
me O -100
he O -100
was O -100
in O -100
love O -100
with O -100
it O -100
. O -100
We O -100
ordered O -100
a O -100
banana O -100
shake O -100
that O -100
was O -100
one O -100
of O -100
their O -100
feature O -100
items O -100
. O -100
It O -100
wasn O -100
' O -100
t O -100
as O -100
thick O -100
and O -100
not O -100
ice O -100
cold O -100
as O -100
we O -100
would O -100
expect O -100
for O -100
a O -100
shake O -100
. O -100
It O -100
was O -100
much O -100
closer O -100
to O -100
room O -100
temperature O -100
and O -100
had O -100
a O -100
thin O -100
consistency O -100
. O -100
Would O -100
I O -100
go O -100
back O -100
? O -100
Maybe O -100
. O -100
I O -100
would O -100
definitely O -100
try O -100
the O -100
La O -100
Bandita O -100
to O -100
give O -100
that O -100
burger O -100
a O -100
shot O -100
. O -100
A O -100
quick O -100
note O -100
about O -100
the O -100
line B-ASP -100
: O -100
it O -100
moved O -100
pretty O -100
quickly O -100
. O -100
Once O -100
we O -100
got O -100
inside O -100
, O -100
a O -100
couple O -100
of O -100
spots O -100
opened O -100
up O -100
at O -100
the O -100
bar O -100
and O -100
the O -100
waitress O -100
invited O -100
us O -100
over O -100
to O -100
sit O -100
there O -100
. O -100
We O -100
jumped O -100
at O -100
the O -100
opportunity O -100
and O -100
saved O -100
about O -100
another O -100
10 O -100
minutes O -100
in O -100
line B-ASP Positive
. O -100

Even O -100
the O -100
mad O -100
Captain O -100
Ahab O -100
is O -100
touched O -100
by O -100
Starbuck O -100
' O -100
s O -100
goodness O -100
. O -100
. O -100
. O -100
Herman O -100
Melville O -100
The O -100
drive O -100
thru O -100
was O -100
jammed O -100
with O -100
vehicles O -100
when O -100
I O -100
pulled O -100
up O -100
, O -100
so O -100
I O -100
opted O -100
to O -100
park O -100
and O -100
go O -100
to O -100
the O -100
walk O -100
up O -100
window O -100
. O -100
The O -100
staff B-ASP Positive
were O -100
super O -100
friendly O -100
! O -100
More O -100
then O -100
a O -100
few O -100
of O -100
them O -100
said O -100
hello O -100
to O -100
me O -100
while O -100
I O -100
ordered O -100
. O -100
Even O -100
though O -100
they O -100
were O -100
busy O -100
, O -100
they B-ASP -100
were O -100
all O -100
genuinely O -100
smiling O -100
. O -100
They O -100
look O -100
like O -100
they O -100
enjoy O -100
their O -100
job O -100
. O -100
Great O -100
teamwork O -100
! O -100
I O -100
think O -100
this O -100
is O -100
the O -100
friendliest O -100
Starbucks O -100
I O -100
' O -100
ve O -100
ever O -100
visited O -100
. O -100
The O -100
building O -100
is O -100
architecturally O -100
pleasing O -100
to O -100
me O -100
so O -100
it O -100
catches O -100
my O -100
eye O -100
every O -100
time O -100
I O -100
' O -100
ve O -100
driven O -100
past O -100
it O -100
. O -100
I O -100
' O -100
m O -100
glad O -100
I O -100
stopped O -100
this O -100
time O -100
. O -100
It O -100
' O -100
s O -100
close O -100
to O -100
my O -100
freeway O -100
entrance O -100
so O -100
I O -100
' O -100
ll O -100
be O -100
making O -100
this O -100
a O -100
regular O -100
stop O -100
from O -100
now O -100
on O -100
. O -100
If O -100
you O -100
' O -100
re O -100
in O -100
the O -100
area O -100
, O -100
you O -100
should O -100
too O -100
! O -100

Even O -100
the O -100
mad O -100
Captain O -100
Ahab O -100
is O -100
touched O -100
by O -100
Starbuck O -100
' O -100
s O -100
goodness O -100
. O -100
. O -100
. O -100
Herman O -100
Melville O -100
The O -100
drive O -100
thru O -100
was O -100
jammed O -100
with O -100
vehicles O -100
when O -100
I O -100
pulled O -100
up O -100
, O -100
so O -100
I O -100
opted O -100
to O -100
park O -100
and O -100
go O -100
to O -100
the O -100
walk O -100
up O -100
window O -100
. O -100
The O -100
staff B-ASP -100
were O -100
super O -100
friendly O -100
! O -100
More O -100
then O -100
a O -100
few O -100
of O -100
them O -100
said O -100
hello O -100
to O -100
me O -100
while O -100
I O -100
ordered O -100
. O -100
Even O -100
though O -100
they O -100
were O -100
busy O -100
, O -100
they B-ASP Positive
were O -100
all O -100
genuinely O -100
smiling O -100
. O -100
They O -100
look O -100
like O -100
they O -100
enjoy O -100
their O -100
job O -100
. O -100
Great O -100
teamwork O -100
! O -100
I O -100
think O -100
this O -100
is O -100
the O -100
friendliest O -100
Starbucks O -100
I O -100
' O -100
ve O -100
ever O -100
visited O -100
. O -100
The O -100
building O -100
is O -100
architecturally O -100
pleasing O -100
to O -100
me O -100
so O -100
it O -100
catches O -100
my O -100
eye O -100
every O -100
time O -100
I O -100
' O -100
ve O -100
driven O -100
past O -100
it O -100
. O -100
I O -100
' O -100
m O -100
glad O -100
I O -100
stopped O -100
this O -100
time O -100
. O -100
It O -100
' O -100
s O -100
close O -100
to O -100
my O -100
freeway O -100
entrance O -100
so O -100
I O -100
' O -100
ll O -100
be O -100
making O -100
this O -100
a O -100
regular O -100
stop O -100
from O -100
now O -100
on O -100
. O -100
If O -100
you O -100
' O -100
re O -100
in O -100
the O -100
area O -100
, O -100
you O -100
should O -100
too O -100
! O -100

We O -100
had O -100
lunch O -100
there O -100
on O -100
a O -100
Sunday O -100
afternoon O -100
and O -100
it O -100
was O -100
great O -100
. O -100
We O -100
ordered O -100
2 O -100
gluten O -100
free O -100
pizzas B-ASP Positive
and O -100
both O -100
were O -100
uniquely O -100
delicious O -100
! O -100
The O -100
service B-ASP -100
was O -100
great O -100
and O -100
it O -100
was O -100
an O -100
overall O -100
fantastic O -100
experience O -100
. O -100
Will O -100
definitely O -100
be O -100
back O -100
. O -100

We O -100
had O -100
lunch O -100
there O -100
on O -100
a O -100
Sunday O -100
afternoon O -100
and O -100
it O -100
was O -100
great O -100
. O -100
We O -100
ordered O -100
2 O -100
gluten O -100
free O -100
pizzas B-ASP -100
and O -100
both O -100
were O -100
uniquely O -100
delicious O -100
! O -100
The O -100
service B-ASP Positive
was O -100
great O -100
and O -100
it O -100
was O -100
an O -100
overall O -100
fantastic O -100
experience O -100
. O -100
Will O -100
definitely O -100
be O -100
back O -100
. O -100

For O -100
the O -100
price B-ASP Negative
we O -100
paid O -100
( O -100
about O -100
$ O -100
50 O -100
for O -100
2 O -100
people O -100
) O -100
the O -100
food B-ASP -100
was O -100
only O -100
so O -100
so O -100
and O -100
the O -100
service B-ASP -100
was O -100
AWFUL O -100
. O -100
Our O -100
waitress B-ASP -100
sounded O -100
like O -100
a O -100
robot O -100
, O -100
and O -100
we O -100
had O -100
to O -100
grab O -100
another O -100
waiter B-ASP -100
several O -100
times O -100
because O -100
she O -100
never O -100
came O -100
back O -100
to O -100
check O -100
on O -100
us O -100
. O -100
The O -100
food B-ASP -100
came O -100
out O -100
and O -100
it O -100
looked O -100
like O -100
it O -100
had O -100
been O -100
sitting O -100
in O -100
the O -100
back O -100
a O -100
while O -100
, O -100
it O -100
was O -100
barely O -100
warm O -100
and O -100
a O -100
film O -100
had O -100
formed O -100
over O -100
the O -100
top O -100
of O -100
my O -100
ravioli O -100
. O -100
Overall O -100
, O -100
very O -100
unimpressed O -100
and O -100
I O -100
don O -100
' O -100
t O -100
think O -100
I O -100
would O -100
go O -100
back O -100
or O -100
recommend O -100
this O -100
location O -100
to O -100
a O -100
friend O -100
. O -100

For O -100
the O -100
price B-ASP -100
we O -100
paid O -100
( O -100
about O -100
$ O -100
50 O -100
for O -100
2 O -100
people O -100
) O -100
the O -100
food B-ASP Negative
was O -100
only O -100
so O -100
so O -100
and O -100
the O -100
service B-ASP -100
was O -100
AWFUL O -100
. O -100
Our O -100
waitress B-ASP -100
sounded O -100
like O -100
a O -100
robot O -100
, O -100
and O -100
we O -100
had O -100
to O -100
grab O -100
another O -100
waiter B-ASP -100
several O -100
times O -100
because O -100
she O -100
never O -100
came O -100
back O -100
to O -100
check O -100
on O -100
us O -100
. O -100
The O -100
food B-ASP -100
came O -100
out O -100
and O -100
it O -100
looked O -100
like O -100
it O -100
had O -100
been O -100
sitting O -100
in O -100
the O -100
back O -100
a O -100
while O -100
, O -100
it O -100
was O -100
barely O -100
warm O -100
and O -100
a O -100
film O -100
had O -100
formed O -100
over O -100
the O -100
top O -100
of O -100
my O -100
ravioli O -100
. O -100
Overall O -100
, O -100
very O -100
unimpressed O -100
and O -100
I O -100
don O -100
' O -100
t O -100
think O -100
I O -100
would O -100
go O -100
back O -100
or O -100
recommend O -100
this O -100
location O -100
to O -100
a O -100
friend O -100
. O -100

For O -100
the O -100
price B-ASP -100
we O -100
paid O -100
( O -100
about O -100
$ O -100
50 O -100
for O -100
2 O -100
people O -100
) O -100
the O -100
food B-ASP -100
was O -100
only O -100
so O -100
so O -100
and O -100
the O -100
service B-ASP Negative
was O -100
AWFUL O -100
. O -100
Our O -100
waitress B-ASP -100
sounded O -100
like O -100
a O -100
robot O -100
, O -100
and O -100
we O -100
had O -100
to O -100
grab O -100
another O -100
waiter B-ASP -100
several O -100
times O -100
because O -100
she O -100
never O -100
came O -100
back O -100
to O -100
check O -100
on O -100
us O -100
. O -100
The O -100
food B-ASP -100
came O -100
out O -100
and O -100
it O -100
looked O -100
like O -100
it O -100
had O -100
been O -100
sitting O -100
in O -100
the O -100
back O -100
a O -100
while O -100
, O -100
it O -100
was O -100
barely O -100
warm O -100
and O -100
a O -100
film O -100
had O -100
formed O -100
over O -100
the O -100
top O -100
of O -100
my O -100
ravioli O -100
. O -100
Overall O -100
, O -100
very O -100
unimpressed O -100
and O -100
I O -100
don O -100
' O -100
t O -100
think O -100
I O -100
would O -100
go O -100
back O -100
or O -100
recommend O -100
this O -100
location O -100
to O -100
a O -100
friend O -100
. O -100

For O -100
the O -100
price B-ASP -100
we O -100
paid O -100
( O -100
about O -100
$ O -100
50 O -100
for O -100
2 O -100
people O -100
) O -100
the O -100
food B-ASP -100
was O -100
only O -100
so O -100
so O -100
and O -100
the O -100
service B-ASP -100
was O -100
AWFUL O -100
. O -100
Our O -100
waitress B-ASP Negative
sounded O -100
like O -100
a O -100
robot O -100
, O -100
and O -100
we O -100
had O -100
to O -100
grab O -100
another O -100
waiter B-ASP -100
several O -100
times O -100
because O -100
she O -100
never O -100
came O -100
back O -100
to O -100
check O -100
on O -100
us O -100
. O -100
The O -100
food B-ASP -100
came O -100
out O -100
and O -100
it O -100
looked O -100
like O -100
it O -100
had O -100
been O -100
sitting O -100
in O -100
the O -100
back O -100
a O -100
while O -100
, O -100
it O -100
was O -100
barely O -100
warm O -100
and O -100
a O -100
film O -100
had O -100
formed O -100
over O -100
the O -100
top O -100
of O -100
my O -100
ravioli O -100
. O -100
Overall O -100
, O -100
very O -100
unimpressed O -100
and O -100
I O -100
don O -100
' O -100
t O -100
think O -100
I O -100
would O -100
go O -100
back O -100
or O -100
recommend O -100
this O -100
location O -100
to O -100
a O -100
friend O -100
. O -100

For O -100
the O -100
price B-ASP -100
we O -100
paid O -100
( O -100
about O -100
$ O -100
50 O -100
for O -100
2 O -100
people O -100
) O -100
the O -100
food B-ASP -100
was O -100
only O -100
so O -100
so O -100
and O -100
the O -100
service B-ASP -100
was O -100
AWFUL O -100
. O -100
Our O -100
waitress B-ASP -100
sounded O -100
like O -100
a O -100
robot O -100
, O -100
and O -100
we O -100
had O -100
to O -100
grab O -100
another O -100
waiter B-ASP Negative
several O -100
times O -100
because O -100
she O -100
never O -100
came O -100
back O -100
to O -100
check O -100
on O -100
us O -100
. O -100
The O -100
food B-ASP -100
came O -100
out O -100
and O -100
it O -100
looked O -100
like O -100
it O -100
had O -100
been O -100
sitting O -100
in O -100
the O -100
back O -100
a O -100
while O -100
, O -100
it O -100
was O -100
barely O -100
warm O -100
and O -100
a O -100
film O -100
had O -100
formed O -100
over O -100
the O -100
top O -100
of O -100
my O -100
ravioli O -100
. O -100
Overall O -100
, O -100
very O -100
unimpressed O -100
and O -100
I O -100
don O -100
' O -100
t O -100
think O -100
I O -100
would O -100
go O -100
back O -100
or O -100
recommend O -100
this O -100
location O -100
to O -100
a O -100
friend O -100
. O -100

For O -100
the O -100
price B-ASP -100
we O -100
paid O -100
( O -100
about O -100
$ O -100
50 O -100
for O -100
2 O -100
people O -100
) O -100
the O -100
food B-ASP -100
was O -100
only O -100
so O -100
so O -100
and O -100
the O -100
service B-ASP -100
was O -100
AWFUL O -100
. O -100
Our O -100
waitress B-ASP -100
sounded O -100
like O -100
a O -100
robot O -100
, O -100
and O -100
we O -100
had O -100
to O -100
grab O -100
another O -100
waiter B-ASP -100
several O -100
times O -100
because O -100
she O -100
never O -100
came O -100
back O -100
to O -100
check O -100
on O -100
us O -100
. O -100
The O -100
food B-ASP Negative
came O -100
out O -100
and O -100
it O -100
looked O -100
like O -100
it O -100
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sitting O -100
in O -100
the O -100
back O -100
a O -100
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, O -100
it O -100
was O -100
barely O -100
warm O -100
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a O -100
film O -100
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formed O -100
over O -100
the O -100
top O -100
of O -100
my O -100
ravioli O -100
. O -100
Overall O -100
, O -100
very O -100
unimpressed O -100
and O -100
I O -100
don O -100
' O -100
t O -100
think O -100
I O -100
would O -100
go O -100
back O -100
or O -100
recommend O -100
this O -100
location O -100
to O -100
a O -100
friend O -100
. O -100

Seriously O -100
, O -100
why O -100
aren O -100
' O -100
t O -100
you O -100
at O -100
Comfort O -100
? O -100
Tonight O -100
was O -100
a O -100
special O -100
occasion O -100
, O -100
and O -100
we O -100
wanted O -100
to O -100
try O -100
something O -100
new O -100
. O -100
Yelp O -100
led O -100
us O -100
to O -100
Comfort O -100
. O -100
So O -100
worth O -100
it O -100
! O -100
This O -100
is O -100
a O -100
new O -100
place O -100
, O -100
and O -100
I O -100
guess O -100
Watertown O -100
is O -100
giving O -100
them O -100
a O -100
hard O -100
time O -100
about O -100
signs O -100
, O -100
as O -100
they O -100
don O -100
' O -100
t O -100
have O -100
one O -100
yet O -100
. O -100
To O -100
get O -100
there O -100
, O -100
find O -100
the O -100
Persian O -100
restaurant O -100
below O -100
and O -100
head O -100
up O -100
the O -100
stairs O -100
. O -100
There O -100
' O -100
s O -100
a O -100
small O -100
bar O -100
( O -100
with O -100
a O -100
large O -100
TV O -100
) O -100
that O -100
opens O -100
into O -100
a O -100
lovely O -100
, O -100
warm O -100
dining O -100
room O -100
. O -100
The O -100
ceiling O -100
is O -100
high O -100
and O -100
sloped O -100
, O -100
the O -100
exposed O -100
brick O -100
adorned O -100
with O -100
a O -100
small O -100
, O -100
gold O -100
threaded O -100
tapestry O -100
. O -100
We O -100
were O -100
the O -100
only O -100
ones O -100
there O -100
, O -100
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got O -100
to O -100
sit O -100
by O -100
the O -100
window O -100
. O -100
We O -100
were O -100
served O -100
by O -100
the O -100
owner B-ASP Positive
, O -100
who O -100
was O -100
super O -100
nice O -100
and O -100
very O -100
attentive O -100
. O -100
He O -100
really O -100
cared O -100
that O -100
we O -100
enjoyed O -100
our O -100
food O -100
, O -100
and O -100
seemed O -100
like O -100
an O -100
all O -100
around O -100
nice O -100
guy O -100
. O -100
I O -100
tried O -100
the O -100
mac O -100
and O -100
cheese B-ASP -100
, O -100
which O -100
was O -100
rich O -100
, O -100
flavorful O -100
and O -100
wonderful O -100
. O -100
The O -100
green B-ASP -100
beans I-ASP -100
that O -100
accompanied O -100
it O -100
were O -100
cooked O -100
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seasoned O -100
well O -100
. O -100
My O -100
cohort O -100
ordered O -100
buffalo O -100
wings O -100
and O -100
a O -100
salad O -100
. O -100
I O -100
was O -100
able O -100
to O -100
try O -100
the O -100
latter B-ASP -100
, O -100
and O -100
was O -100
impressed O -100
at O -100
how O -100
fresh O -100
everything O -100
was O -100
. O -100
He O -100
enjoyed O -100
his O -100
wings O -100
, O -100
which O -100
says O -100
a O -100
lot O -100
as O -100
he O -100
' O -100
s O -100
from O -100
Buffalo O -100
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is O -100
impossible O -100
to O -100
please O -100
when O -100
it O -100
comes O -100
to O -100
these O -100
things O -100
. O -100
I O -100
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sample O -100
the O -100
blue O -100
cheese O -100
that O -100
came O -100
with O -100
the O -100
wings O -100
and O -100
was O -100
really O -100
impressed O -100
. O -100
It O -100
wasn O -100
' O -100
t O -100
just O -100
blue O -100
cheese O -100
I O -100
could O -100
distinctly O -100
taste O -100
gorgonzola O -100
in O -100
there O -100
. O -100
I O -100
asked O -100
the O -100
owner O -100
about O -100
it O -100
, O -100
and O -100
he O -100
confirmed O -100
it O -100
. O -100
He O -100
then O -100
added O -100
that O -100
pretty O -100
much O -100
everything O -100
( O -100
including O -100
said O -100
dressing O -100
) O -100
was O -100
made O -100
on O -100
site O -100
. O -100
That O -100
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a O -100
lot O -100
, O -100
if O -100
you O -100
ask O -100
me O -100
. O -100
Oh O -100
, O -100
and O -100
I O -100
' O -100
d O -100
like O -100
to O -100
thank O -100
the O -100
bartender O -100
for O -100
leaving O -100
off O -100
the O -100
sugar O -100
on O -100
my O -100
martini O -100
glass O -100
. O -100
Sugar O -100
is O -100
like O -100
an O -100
unnecessary O -100
set O -100
of O -100
very O -100
sticky O -100
training O -100
wheels O -100
. O -100
Three O -100
cheers O -100
for O -100
a O -100
decent O -100
lemon O -100
martini O -100
. O -100
We O -100
were O -100
the O -100
only O -100
ones O -100
in O -100
the O -100
dining O -100
room O -100
tonight O -100
. O -100
Don O -100
' O -100
t O -100
get O -100
me O -100
wrong O -100
, O -100
I O -100
loved O -100
the O -100
privacy B-ASP -100
and O -100
quiet O -100
of O -100
the O -100
empty O -100
room O -100
, O -100
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something O -100
tells O -100
me O -100
Comfort O -100
shouldn O -100
' O -100
t O -100
remain O -100
a O -100
secret O -100
. O -100
Get O -100
thee O -100
to O -100
Comfort O -100
. O -100
And O -100
while O -100
you O -100
' O -100
re O -100
at O -100
it O -100
, O -100
bring O -100
me O -100
back O -100
some O -100
of O -100
that O -100
blue O -100
cheese O -100
/ O -100
gorgonzola O -100
yumminess O -100
. O -100

Seriously O -100
, O -100
why O -100
aren O -100
' O -100
t O -100
you O -100
at O -100
Comfort O -100
? O -100
Tonight O -100
was O -100
a O -100
special O -100
occasion O -100
, O -100
and O -100
we O -100
wanted O -100
to O -100
try O -100
something O -100
new O -100
. O -100
Yelp O -100
led O -100
us O -100
to O -100
Comfort O -100
. O -100
So O -100
worth O -100
it O -100
! O -100
This O -100
is O -100
a O -100
new O -100
place O -100
, O -100
and O -100
I O -100
guess O -100
Watertown O -100
is O -100
giving O -100
them O -100
a O -100
hard O -100
time O -100
about O -100
signs O -100
, O -100
as O -100
they O -100
don O -100
' O -100
t O -100
have O -100
one O -100
yet O -100
. O -100
To O -100
get O -100
there O -100
, O -100
find O -100
the O -100
Persian O -100
restaurant O -100
below O -100
and O -100
head O -100
up O -100
the O -100
stairs O -100
. O -100
There O -100
' O -100
s O -100
a O -100
small O -100
bar O -100
( O -100
with O -100
a O -100
large O -100
TV O -100
) O -100
that O -100
opens O -100
into O -100
a O -100
lovely O -100
, O -100
warm O -100
dining O -100
room O -100
. O -100
The O -100
ceiling O -100
is O -100
high O -100
and O -100
sloped O -100
, O -100
the O -100
exposed O -100
brick O -100
adorned O -100
with O -100
a O -100
small O -100
, O -100
gold O -100
threaded O -100
tapestry O -100
. O -100
We O -100
were O -100
the O -100
only O -100
ones O -100
there O -100
, O -100
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got O -100
to O -100
sit O -100
by O -100
the O -100
window O -100
. O -100
We O -100
were O -100
served O -100
by O -100
the O -100
owner B-ASP -100
, O -100
who O -100
was O -100
super O -100
nice O -100
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very O -100
attentive O -100
. O -100
He O -100
really O -100
cared O -100
that O -100
we O -100
enjoyed O -100
our O -100
food O -100
, O -100
and O -100
seemed O -100
like O -100
an O -100
all O -100
around O -100
nice O -100
guy O -100
. O -100
I O -100
tried O -100
the O -100
mac O -100
and O -100
cheese B-ASP Positive
, O -100
which O -100
was O -100
rich O -100
, O -100
flavorful O -100
and O -100
wonderful O -100
. O -100
The O -100
green B-ASP -100
beans I-ASP -100
that O -100
accompanied O -100
it O -100
were O -100
cooked O -100
and O -100
seasoned O -100
well O -100
. O -100
My O -100
cohort O -100
ordered O -100
buffalo O -100
wings O -100
and O -100
a O -100
salad O -100
. O -100
I O -100
was O -100
able O -100
to O -100
try O -100
the O -100
latter B-ASP -100
, O -100
and O -100
was O -100
impressed O -100
at O -100
how O -100
fresh O -100
everything O -100
was O -100
. O -100
He O -100
enjoyed O -100
his O -100
wings O -100
, O -100
which O -100
says O -100
a O -100
lot O -100
as O -100
he O -100
' O -100
s O -100
from O -100
Buffalo O -100
and O -100
is O -100
impossible O -100
to O -100
please O -100
when O -100
it O -100
comes O -100
to O -100
these O -100
things O -100
. O -100
I O -100
was O -100
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to O -100
sample O -100
the O -100
blue O -100
cheese O -100
that O -100
came O -100
with O -100
the O -100
wings O -100
and O -100
was O -100
really O -100
impressed O -100
. O -100
It O -100
wasn O -100
' O -100
t O -100
just O -100
blue O -100
cheese O -100
I O -100
could O -100
distinctly O -100
taste O -100
gorgonzola O -100
in O -100
there O -100
. O -100
I O -100
asked O -100
the O -100
owner O -100
about O -100
it O -100
, O -100
and O -100
he O -100
confirmed O -100
it O -100
. O -100
He O -100
then O -100
added O -100
that O -100
pretty O -100
much O -100
everything O -100
( O -100
including O -100
said O -100
dressing O -100
) O -100
was O -100
made O -100
on O -100
site O -100
. O -100
That O -100
says O -100
a O -100
lot O -100
, O -100
if O -100
you O -100
ask O -100
me O -100
. O -100
Oh O -100
, O -100
and O -100
I O -100
' O -100
d O -100
like O -100
to O -100
thank O -100
the O -100
bartender O -100
for O -100
leaving O -100
off O -100
the O -100
sugar O -100
on O -100
my O -100
martini O -100
glass O -100
. O -100
Sugar O -100
is O -100
like O -100
an O -100
unnecessary O -100
set O -100
of O -100
very O -100
sticky O -100
training O -100
wheels O -100
. O -100
Three O -100
cheers O -100
for O -100
a O -100
decent O -100
lemon O -100
martini O -100
. O -100
We O -100
were O -100
the O -100
only O -100
ones O -100
in O -100
the O -100
dining O -100
room O -100
tonight O -100
. O -100
Don O -100
' O -100
t O -100
get O -100
me O -100
wrong O -100
, O -100
I O -100
loved O -100
the O -100
privacy B-ASP -100
and O -100
quiet O -100
of O -100
the O -100
empty O -100
room O -100
, O -100
but O -100
something O -100
tells O -100
me O -100
Comfort O -100
shouldn O -100
' O -100
t O -100
remain O -100
a O -100
secret O -100
. O -100
Get O -100
thee O -100
to O -100
Comfort O -100
. O -100
And O -100
while O -100
you O -100
' O -100
re O -100
at O -100
it O -100
, O -100
bring O -100
me O -100
back O -100
some O -100
of O -100
that O -100
blue O -100
cheese O -100
/ O -100
gorgonzola O -100
yumminess O -100
. O -100

Seriously O -100
, O -100
why O -100
aren O -100
' O -100
t O -100
you O -100
at O -100
Comfort O -100
? O -100
Tonight O -100
was O -100
a O -100
special O -100
occasion O -100
, O -100
and O -100
we O -100
wanted O -100
to O -100
try O -100
something O -100
new O -100
. O -100
Yelp O -100
led O -100
us O -100
to O -100
Comfort O -100
. O -100
So O -100
worth O -100
it O -100
! O -100
This O -100
is O -100
a O -100
new O -100
place O -100
, O -100
and O -100
I O -100
guess O -100
Watertown O -100
is O -100
giving O -100
them O -100
a O -100
hard O -100
time O -100
about O -100
signs O -100
, O -100
as O -100
they O -100
don O -100
' O -100
t O -100
have O -100
one O -100
yet O -100
. O -100
To O -100
get O -100
there O -100
, O -100
find O -100
the O -100
Persian O -100
restaurant O -100
below O -100
and O -100
head O -100
up O -100
the O -100
stairs O -100
. O -100
There O -100
' O -100
s O -100
a O -100
small O -100
bar O -100
( O -100
with O -100
a O -100
large O -100
TV O -100
) O -100
that O -100
opens O -100
into O -100
a O -100
lovely O -100
, O -100
warm O -100
dining O -100
room O -100
. O -100
The O -100
ceiling O -100
is O -100
high O -100
and O -100
sloped O -100
, O -100
the O -100
exposed O -100
brick O -100
adorned O -100
with O -100
a O -100
small O -100
, O -100
gold O -100
threaded O -100
tapestry O -100
. O -100
We O -100
were O -100
the O -100
only O -100
ones O -100
there O -100
, O -100
and O -100
got O -100
to O -100
sit O -100
by O -100
the O -100
window O -100
. O -100
We O -100
were O -100
served O -100
by O -100
the O -100
owner B-ASP -100
, O -100
who O -100
was O -100
super O -100
nice O -100
and O -100
very O -100
attentive O -100
. O -100
He O -100
really O -100
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that O -100
we O -100
enjoyed O -100
our O -100
food O -100
, O -100
and O -100
seemed O -100
like O -100
an O -100
all O -100
around O -100
nice O -100
guy O -100
. O -100
I O -100
tried O -100
the O -100
mac O -100
and O -100
cheese B-ASP -100
, O -100
which O -100
was O -100
rich O -100
, O -100
flavorful O -100
and O -100
wonderful O -100
. O -100
The O -100
green B-ASP Positive
beans I-ASP Positive
that O -100
accompanied O -100
it O -100
were O -100
cooked O -100
and O -100
seasoned O -100
well O -100
. O -100
My O -100
cohort O -100
ordered O -100
buffalo O -100
wings O -100
and O -100
a O -100
salad O -100
. O -100
I O -100
was O -100
able O -100
to O -100
try O -100
the O -100
latter B-ASP -100
, O -100
and O -100
was O -100
impressed O -100
at O -100
how O -100
fresh O -100
everything O -100
was O -100
. O -100
He O -100
enjoyed O -100
his O -100
wings O -100
, O -100
which O -100
says O -100
a O -100
lot O -100
as O -100
he O -100
' O -100
s O -100
from O -100
Buffalo O -100
and O -100
is O -100
impossible O -100
to O -100
please O -100
when O -100
it O -100
comes O -100
to O -100
these O -100
things O -100
. O -100
I O -100
was O -100
able O -100
to O -100
sample O -100
the O -100
blue O -100
cheese O -100
that O -100
came O -100
with O -100
the O -100
wings O -100
and O -100
was O -100
really O -100
impressed O -100
. O -100
It O -100
wasn O -100
' O -100
t O -100
just O -100
blue O -100
cheese O -100
I O -100
could O -100
distinctly O -100
taste O -100
gorgonzola O -100
in O -100
there O -100
. O -100
I O -100
asked O -100
the O -100
owner O -100
about O -100
it O -100
, O -100
and O -100
he O -100
confirmed O -100
it O -100
. O -100
He O -100
then O -100
added O -100
that O -100
pretty O -100
much O -100
everything O -100
( O -100
including O -100
said O -100
dressing O -100
) O -100
was O -100
made O -100
on O -100
site O -100
. O -100
That O -100
says O -100
a O -100
lot O -100
, O -100
if O -100
you O -100
ask O -100
me O -100
. O -100
Oh O -100
, O -100
and O -100
I O -100
' O -100
d O -100
like O -100
to O -100
thank O -100
the O -100
bartender O -100
for O -100
leaving O -100
off O -100
the O -100
sugar O -100
on O -100
my O -100
martini O -100
glass O -100
. O -100
Sugar O -100
is O -100
like O -100
an O -100
unnecessary O -100
set O -100
of O -100
very O -100
sticky O -100
training O -100
wheels O -100
. O -100
Three O -100
cheers O -100
for O -100
a O -100
decent O -100
lemon O -100
martini O -100
. O -100
We O -100
were O -100
the O -100
only O -100
ones O -100
in O -100
the O -100
dining O -100
room O -100
tonight O -100
. O -100
Don O -100
' O -100
t O -100
get O -100
me O -100
wrong O -100
, O -100
I O -100
loved O -100
the O -100
privacy B-ASP -100
and O -100
quiet O -100
of O -100
the O -100
empty O -100
room O -100
, O -100
but O -100
something O -100
tells O -100
me O -100
Comfort O -100
shouldn O -100
' O -100
t O -100
remain O -100
a O -100
secret O -100
. O -100
Get O -100
thee O -100
to O -100
Comfort O -100
. O -100
And O -100
while O -100
you O -100
' O -100
re O -100
at O -100
it O -100
, O -100
bring O -100
me O -100
back O -100
some O -100
of O -100
that O -100
blue O -100
cheese O -100
/ O -100
gorgonzola O -100
yumminess O -100
. O -100

Seriously O -100
, O -100
why O -100
aren O -100
' O -100
t O -100
you O -100
at O -100
Comfort O -100
? O -100
Tonight O -100
was O -100
a O -100
special O -100
occasion O -100
, O -100
and O -100
we O -100
wanted O -100
to O -100
try O -100
something O -100
new O -100
. O -100
Yelp O -100
led O -100
us O -100
to O -100
Comfort O -100
. O -100
So O -100
worth O -100
it O -100
! O -100
This O -100
is O -100
a O -100
new O -100
place O -100
, O -100
and O -100
I O -100
guess O -100
Watertown O -100
is O -100
giving O -100
them O -100
a O -100
hard O -100
time O -100
about O -100
signs O -100
, O -100
as O -100
they O -100
don O -100
' O -100
t O -100
have O -100
one O -100
yet O -100
. O -100
To O -100
get O -100
there O -100
, O -100
find O -100
the O -100
Persian O -100
restaurant O -100
below O -100
and O -100
head O -100
up O -100
the O -100
stairs O -100
. O -100
There O -100
' O -100
s O -100
a O -100
small O -100
bar O -100
( O -100
with O -100
a O -100
large O -100
TV O -100
) O -100
that O -100
opens O -100
into O -100
a O -100
lovely O -100
, O -100
warm O -100
dining O -100
room O -100
. O -100
The O -100
ceiling O -100
is O -100
high O -100
and O -100
sloped O -100
, O -100
the O -100
exposed O -100
brick O -100
adorned O -100
with O -100
a O -100
small O -100
, O -100
gold O -100
threaded O -100
tapestry O -100
. O -100
We O -100
were O -100
the O -100
only O -100
ones O -100
there O -100
, O -100
and O -100
got O -100
to O -100
sit O -100
by O -100
the O -100
window O -100
. O -100
We O -100
were O -100
served O -100
by O -100
the O -100
owner B-ASP -100
, O -100
who O -100
was O -100
super O -100
nice O -100
and O -100
very O -100
attentive O -100
. O -100
He O -100
really O -100
cared O -100
that O -100
we O -100
enjoyed O -100
our O -100
food O -100
, O -100
and O -100
seemed O -100
like O -100
an O -100
all O -100
around O -100
nice O -100
guy O -100
. O -100
I O -100
tried O -100
the O -100
mac O -100
and O -100
cheese B-ASP -100
, O -100
which O -100
was O -100
rich O -100
, O -100
flavorful O -100
and O -100
wonderful O -100
. O -100
The O -100
green B-ASP -100
beans I-ASP -100
that O -100
accompanied O -100
it O -100
were O -100
cooked O -100
and O -100
seasoned O -100
well O -100
. O -100
My O -100
cohort O -100
ordered O -100
buffalo O -100
wings O -100
and O -100
a O -100
salad O -100
. O -100
I O -100
was O -100
able O -100
to O -100
try O -100
the O -100
latter B-ASP Positive
, O -100
and O -100
was O -100
impressed O -100
at O -100
how O -100
fresh O -100
everything O -100
was O -100
. O -100
He O -100
enjoyed O -100
his O -100
wings O -100
, O -100
which O -100
says O -100
a O -100
lot O -100
as O -100
he O -100
' O -100
s O -100
from O -100
Buffalo O -100
and O -100
is O -100
impossible O -100
to O -100
please O -100
when O -100
it O -100
comes O -100
to O -100
these O -100
things O -100
. O -100
I O -100
was O -100
able O -100
to O -100
sample O -100
the O -100
blue O -100
cheese O -100
that O -100
came O -100
with O -100
the O -100
wings O -100
and O -100
was O -100
really O -100
impressed O -100
. O -100
It O -100
wasn O -100
' O -100
t O -100
just O -100
blue O -100
cheese O -100
I O -100
could O -100
distinctly O -100
taste O -100
gorgonzola O -100
in O -100
there O -100
. O -100
I O -100
asked O -100
the O -100
owner O -100
about O -100
it O -100
, O -100
and O -100
he O -100
confirmed O -100
it O -100
. O -100
He O -100
then O -100
added O -100
that O -100
pretty O -100
much O -100
everything O -100
( O -100
including O -100
said O -100
dressing O -100
) O -100
was O -100
made O -100
on O -100
site O -100
. O -100
That O -100
says O -100
a O -100
lot O -100
, O -100
if O -100
you O -100
ask O -100
me O -100
. O -100
Oh O -100
, O -100
and O -100
I O -100
' O -100
d O -100
like O -100
to O -100
thank O -100
the O -100
bartender O -100
for O -100
leaving O -100
off O -100
the O -100
sugar O -100
on O -100
my O -100
martini O -100
glass O -100
. O -100
Sugar O -100
is O -100
like O -100
an O -100
unnecessary O -100
set O -100
of O -100
very O -100
sticky O -100
training O -100
wheels O -100
. O -100
Three O -100
cheers O -100
for O -100
a O -100
decent O -100
lemon O -100
martini O -100
. O -100
We O -100
were O -100
the O -100
only O -100
ones O -100
in O -100
the O -100
dining O -100
room O -100
tonight O -100
. O -100
Don O -100
' O -100
t O -100
get O -100
me O -100
wrong O -100
, O -100
I O -100
loved O -100
the O -100
privacy B-ASP -100
and O -100
quiet O -100
of O -100
the O -100
empty O -100
room O -100
, O -100
but O -100
something O -100
tells O -100
me O -100
Comfort O -100
shouldn O -100
' O -100
t O -100
remain O -100
a O -100
secret O -100
. O -100
Get O -100
thee O -100
to O -100
Comfort O -100
. O -100
And O -100
while O -100
you O -100
' O -100
re O -100
at O -100
it O -100
, O -100
bring O -100
me O -100
back O -100
some O -100
of O -100
that O -100
blue O -100
cheese O -100
/ O -100
gorgonzola O -100
yumminess O -100
. O -100

Seriously O -100
, O -100
why O -100
aren O -100
' O -100
t O -100
you O -100
at O -100
Comfort O -100
? O -100
Tonight O -100
was O -100
a O -100
special O -100
occasion O -100
, O -100
and O -100
we O -100
wanted O -100
to O -100
try O -100
something O -100
new O -100
. O -100
Yelp O -100
led O -100
us O -100
to O -100
Comfort O -100
. O -100
So O -100
worth O -100
it O -100
! O -100
This O -100
is O -100
a O -100
new O -100
place O -100
, O -100
and O -100
I O -100
guess O -100
Watertown O -100
is O -100
giving O -100
them O -100
a O -100
hard O -100
time O -100
about O -100
signs O -100
, O -100
as O -100
they O -100
don O -100
' O -100
t O -100
have O -100
one O -100
yet O -100
. O -100
To O -100
get O -100
there O -100
, O -100
find O -100
the O -100
Persian O -100
restaurant O -100
below O -100
and O -100
head O -100
up O -100
the O -100
stairs O -100
. O -100
There O -100
' O -100
s O -100
a O -100
small O -100
bar O -100
( O -100
with O -100
a O -100
large O -100
TV O -100
) O -100
that O -100
opens O -100
into O -100
a O -100
lovely O -100
, O -100
warm O -100
dining O -100
room O -100
. O -100
The O -100
ceiling O -100
is O -100
high O -100
and O -100
sloped O -100
, O -100
the O -100
exposed O -100
brick O -100
adorned O -100
with O -100
a O -100
small O -100
, O -100
gold O -100
threaded O -100
tapestry O -100
. O -100
We O -100
were O -100
the O -100
only O -100
ones O -100
there O -100
, O -100
and O -100
got O -100
to O -100
sit O -100
by O -100
the O -100
window O -100
. O -100
We O -100
were O -100
served O -100
by O -100
the O -100
owner B-ASP -100
, O -100
who O -100
was O -100
super O -100
nice O -100
and O -100
very O -100
attentive O -100
. O -100
He O -100
really O -100
cared O -100
that O -100
we O -100
enjoyed O -100
our O -100
food O -100
, O -100
and O -100
seemed O -100
like O -100
an O -100
all O -100
around O -100
nice O -100
guy O -100
. O -100
I O -100
tried O -100
the O -100
mac O -100
and O -100
cheese B-ASP -100
, O -100
which O -100
was O -100
rich O -100
, O -100
flavorful O -100
and O -100
wonderful O -100
. O -100
The O -100
green B-ASP -100
beans I-ASP -100
that O -100
accompanied O -100
it O -100
were O -100
cooked O -100
and O -100
seasoned O -100
well O -100
. O -100
My O -100
cohort O -100
ordered O -100
buffalo O -100
wings O -100
and O -100
a O -100
salad O -100
. O -100
I O -100
was O -100
able O -100
to O -100
try O -100
the O -100
latter B-ASP -100
, O -100
and O -100
was O -100
impressed O -100
at O -100
how O -100
fresh O -100
everything O -100
was O -100
. O -100
He O -100
enjoyed O -100
his O -100
wings O -100
, O -100
which O -100
says O -100
a O -100
lot O -100
as O -100
he O -100
' O -100
s O -100
from O -100
Buffalo O -100
and O -100
is O -100
impossible O -100
to O -100
please O -100
when O -100
it O -100
comes O -100
to O -100
these O -100
things O -100
. O -100
I O -100
was O -100
able O -100
to O -100
sample O -100
the O -100
blue O -100
cheese O -100
that O -100
came O -100
with O -100
the O -100
wings O -100
and O -100
was O -100
really O -100
impressed O -100
. O -100
It O -100
wasn O -100
' O -100
t O -100
just O -100
blue O -100
cheese O -100
I O -100
could O -100
distinctly O -100
taste O -100
gorgonzola O -100
in O -100
there O -100
. O -100
I O -100
asked O -100
the O -100
owner O -100
about O -100
it O -100
, O -100
and O -100
he O -100
confirmed O -100
it O -100
. O -100
He O -100
then O -100
added O -100
that O -100
pretty O -100
much O -100
everything O -100
( O -100
including O -100
said O -100
dressing O -100
) O -100
was O -100
made O -100
on O -100
site O -100
. O -100
That O -100
says O -100
a O -100
lot O -100
, O -100
if O -100
you O -100
ask O -100
me O -100
. O -100
Oh O -100
, O -100
and O -100
I O -100
' O -100
d O -100
like O -100
to O -100
thank O -100
the O -100
bartender O -100
for O -100
leaving O -100
off O -100
the O -100
sugar O -100
on O -100
my O -100
martini O -100
glass O -100
. O -100
Sugar O -100
is O -100
like O -100
an O -100
unnecessary O -100
set O -100
of O -100
very O -100
sticky O -100
training O -100
wheels O -100
. O -100
Three O -100
cheers O -100
for O -100
a O -100
decent O -100
lemon O -100
martini O -100
. O -100
We O -100
were O -100
the O -100
only O -100
ones O -100
in O -100
the O -100
dining O -100
room O -100
tonight O -100
. O -100
Don O -100
' O -100
t O -100
get O -100
me O -100
wrong O -100
, O -100
I O -100
loved O -100
the O -100
privacy B-ASP Positive
and O -100
quiet O -100
of O -100
the O -100
empty O -100
room O -100
, O -100
but O -100
something O -100
tells O -100
me O -100
Comfort O -100
shouldn O -100
' O -100
t O -100
remain O -100
a O -100
secret O -100
. O -100
Get O -100
thee O -100
to O -100
Comfort O -100
. O -100
And O -100
while O -100
you O -100
' O -100
re O -100
at O -100
it O -100
, O -100
bring O -100
me O -100
back O -100
some O -100
of O -100
that O -100
blue O -100
cheese O -100
/ O -100
gorgonzola O -100
yumminess O -100
. O -100

Fix O -100
the O -100
Beer B-ASP Negative
. O -100
The O -100
hardware B-ASP -100
is O -100
the O -100
problem O -100
. O -100
At O -100
least O -100
15 O -100
out O -100
of O -100
the O -100
45 O -100
taps O -100
are O -100
faulty O -100
. O -100
Sorry O -100
guys O -100
, O -100
but O -100
I O -100
have O -100
given O -100
you O -100
5 O -100
years O -100
and O -100
other O -100
customers O -100
will O -100
notice O -100
, O -100
Please O -100
Scott O -100
. O -100

Fix O -100
the O -100
Beer B-ASP -100
. O -100
The O -100
hardware B-ASP Negative
is O -100
the O -100
problem O -100
. O -100
At O -100
least O -100
15 O -100
out O -100
of O -100
the O -100
45 O -100
taps O -100
are O -100
faulty O -100
. O -100
Sorry O -100
guys O -100
, O -100
but O -100
I O -100
have O -100
given O -100
you O -100
5 O -100
years O -100
and O -100
other O -100
customers O -100
will O -100
notice O -100
, O -100
Please O -100
Scott O -100
. O -100

its O -100
the O -100
best O -100
pizza B-ASP Positive
hut O -100
i O -100
' O -100
v O -100
found O -100
in O -100
florida O -100
always O -100
got O -100
great O -100
deals O -100
& O -100
offers O -100
the O -100
staff B-ASP -100
are O -100
very O -100
friendly O -100
& O -100
make O -100
you O -100
feel O -100
welcome O -100
and O -100
if O -100
you O -100
have O -100
children O -100
with O -100
you O -100
they B-ASP -100
make O -100
them O -100
feel O -100
extra O -100
special O -100
& O -100
welcome O -100
them O -100
in O -100
a O -100
huge O -100
way O -100
too O -100

its O -100
the O -100
best O -100
pizza B-ASP -100
hut O -100
i O -100
' O -100
v O -100
found O -100
in O -100
florida O -100
always O -100
got O -100
great O -100
deals O -100
& O -100
offers O -100
the O -100
staff B-ASP Positive
are O -100
very O -100
friendly O -100
& O -100
make O -100
you O -100
feel O -100
welcome O -100
and O -100
if O -100
you O -100
have O -100
children O -100
with O -100
you O -100
they B-ASP -100
make O -100
them O -100
feel O -100
extra O -100
special O -100
& O -100
welcome O -100
them O -100
in O -100
a O -100
huge O -100
way O -100
too O -100

its O -100
the O -100
best O -100
pizza B-ASP -100
hut O -100
i O -100
' O -100
v O -100
found O -100
in O -100
florida O -100
always O -100
got O -100
great O -100
deals O -100
& O -100
offers O -100
the O -100
staff B-ASP -100
are O -100
very O -100
friendly O -100
& O -100
make O -100
you O -100
feel O -100
welcome O -100
and O -100
if O -100
you O -100
have O -100
children O -100
with O -100
you O -100
they B-ASP Positive
make O -100
them O -100
feel O -100
extra O -100
special O -100
& O -100
welcome O -100
them O -100
in O -100
a O -100
huge O -100
way O -100
too O -100

certainly O -100
don O -100
' O -100
t O -100
come O -100
here O -100
for O -100
the O -100
ambiance O -100
. O -100
it O -100
appears O -100
like O -100
it O -100
used O -100
to O -100
be O -100
a O -100
walk O -100
up O -100
ice O -100
cream O -100
window O -100
in O -100
the O -100
front O -100
, O -100
which O -100
is O -100
semi O -100
camouflaged O -100
with O -100
curtains O -100
. O -100
the O -100
service B-ASP Neutral
is O -100
okay O -100
efficient O -100
, O -100
but O -100
not O -100
overly O -100
friendly O -100
or O -100
helpful O -100
. O -100
we O -100
mostly O -100
stick O -100
to O -100
the O -100
curries B-ASP -100
here O -100
, O -100
which O -100
are O -100
good O -100
. O -100
often O -100
filled O -100
with O -100
a O -100
lot O -100
of O -100
tufts O -100
students O -100
during O -100
the O -100
school O -100
year O -100
, O -100
probably O -100
b O -100
/ O -100
c O -100
it O -100
is O -100
not O -100
so O -100
crowded O -100
and O -100
can O -100
accommodate O -100
larger O -100
groups O -100
. O -100
sometimes O -100
one O -100
of O -100
the O -100
employees O -100
( O -100
or O -100
their O -100
family O -100
members O -100
) O -100
are O -100
playing O -100
an O -100
electronic O -100
keyboard O -100
. O -100

certainly O -100
don O -100
' O -100
t O -100
come O -100
here O -100
for O -100
the O -100
ambiance O -100
. O -100
it O -100
appears O -100
like O -100
it O -100
used O -100
to O -100
be O -100
a O -100
walk O -100
up O -100
ice O -100
cream O -100
window O -100
in O -100
the O -100
front O -100
, O -100
which O -100
is O -100
semi O -100
camouflaged O -100
with O -100
curtains O -100
. O -100
the O -100
service B-ASP -100
is O -100
okay O -100
efficient O -100
, O -100
but O -100
not O -100
overly O -100
friendly O -100
or O -100
helpful O -100
. O -100
we O -100
mostly O -100
stick O -100
to O -100
the O -100
curries B-ASP Positive
here O -100
, O -100
which O -100
are O -100
good O -100
. O -100
often O -100
filled O -100
with O -100
a O -100
lot O -100
of O -100
tufts O -100
students O -100
during O -100
the O -100
school O -100
year O -100
, O -100
probably O -100
b O -100
/ O -100
c O -100
it O -100
is O -100
not O -100
so O -100
crowded O -100
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. O -100
sometimes O -100
one O -100
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the O -100
employees O -100
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members O -100
) O -100
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playing O -100
an O -100
electronic O -100
keyboard O -100
. O -100

I O -100
' O -100
m O -100
having O -100
trouble O -100
deciding O -100
how O -100
to O -100
rate O -100
Tomatillos O -100
, O -100
because O -100
certain O -100
things O -100
were O -100
definitely O -100
five O -100
star O -100
, O -100
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other O -100
things O -100
were O -100
kinda O -100
meh O -100
. O -100
However O -100
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I O -100
have O -100
to O -100
give O -100
them O -100
props O -100
because O -100
it O -100
seems O -100
like O -100
they O -100
' O -100
re O -100
using O -100
Yelp O -100
in O -100
the O -100
right O -100
way O -100
they O -100
' O -100
re O -100
using O -100
it O -100
to O -100
get O -100
a O -100
consensus O -100
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improve O -100
on O -100
things O -100
. O -100
I O -100
read O -100
about O -100
tomatillos O -100
a O -100
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ago O -100
online O -100
, O -100
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since O -100
then O -100
I O -100
' O -100
ve O -100
been O -100
curious O -100
to O -100
try O -100
it O -100
. O -100
After O -100
a O -100
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I O -100
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a O -100
friend O -100
here O -100
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lunch O -100
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Their O -100
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their O -100
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I O -100
' O -100
ve O -100
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dying O -100
to O -100
try O -100
their O -100
potato O -100
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green O -100
chile O -100
burrito O -100
, O -100
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that O -100
' O -100
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I O -100
ordered O -100
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Since O -100
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the O -100
guy O -100
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a O -100
burrito O -100
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a O -100
drink O -100
. O -100
Sounded O -100
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, O -100
so O -100
I O -100
got O -100
it O -100
. O -100
This O -100
is O -100
where O -100
I O -100
hand O -100
it O -100
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them O -100
. O -100
I O -100
assumed O -100
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all O -100
the O -100
extra O -100
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extra O -100
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like O -100
there O -100
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online O -100
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I O -100
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they O -100
aren O -100
' O -100
t O -100
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I O -100
also O -100
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roasted O -100
corn O -100
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avocado O -100
added O -100
to O -100
my O -100
burrito O -100
( O -100
I O -100
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' O -100
t O -100
want O -100
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too O -100
much O -100
and O -100
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the O -100
burrito O -100
be O -100
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! O -100
) O -100
. O -100
My O -100
friend O -100
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a O -100
shrimp O -100
quesadilla O -100
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had O -100
like O -100
four O -100
extra O -100
toppings O -100
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his O -100
. O -100
There O -100
were O -100
a O -100
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minor O -100
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that O -100
bothered O -100
me O -100
. O -100
After O -100
ordering O -100
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the O -100
counter O -100
, O -100
I O -100
wasn O -100
' O -100
t O -100
sure O -100
if O -100
I O -100
was O -100
supposed O -100
to O -100
go O -100
up O -100
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get O -100
my O -100
burrito O -100
once O -100
they O -100
called O -100
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out O -100
, O -100
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I O -100
was O -100
supposed O -100
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wait O -100
for O -100
someone O -100
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bring O -100
it O -100
to O -100
me O -100
. O -100
There O -100
' O -100
s O -100
nothing O -100
stated O -100
anywhere O -100
, O -100
and O -100
they O -100
surely O -100
didn O -100
' O -100
t O -100
say O -100
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, O -100
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I O -100
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it O -100
. O -100
But O -100
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a O -100
couple O -100
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us O -100
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their O -100
food O -100
brought O -100
to O -100
them O -100
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the O -100
guy O -100
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counter O -100
. O -100
Hmm O -100
. O -100
Odd O -100
. O -100
I O -100
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" O -100
meh O -100
" O -100
on O -100
the O -100
salsa O -100
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the O -100
table O -100
, O -100
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the O -100
chips O -100
that O -100
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my O -100
lunch O -100
special O -100
. O -100
The O -100
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tasted O -100
a O -100
little O -100
greasy O -100
to O -100
me O -100
, O -100
and O -100
the O -100
salsas B-ASP -100
just O -100
weren O -100
' O -100
t O -100
that O -100
great O -100
. O -100
I O -100
was O -100
expecting O -100
the O -100
tomatillo O -100
salsa O -100
to O -100
be O -100
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, O -100
considering O -100
the O -100
name O -100
of O -100
the O -100
restaurant O -100
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tomatillos O -100
. O -100
Instead O -100
, O -100
it O -100
just O -100
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waaaaaaaaay O -100
too O -100
much O -100
lime O -100
juice O -100
to O -100
me O -100
. O -100
I O -100
cannot O -100
remember O -100
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single O -100
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about O -100
the O -100
red O -100
salsa O -100
, O -100
which O -100
just O -100
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a O -100
bad O -100
sign O -100
, O -100
considering O -100
I O -100
ate O -100
there O -100
like O -100
3 O -100
hours O -100
ago O -100
. O -100
I O -100
will O -100
say O -100
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, O -100
that O -100
the O -100
potato B-ASP -100
and I-ASP -100
green O -100
chile O -100
was O -100
AMAZING O -100
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Definitely O -100
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the O -100
burrito O -100
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seasoned O -100
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, O -100
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absolutely O -100
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blend O -100
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used O -100
inside O -100
. O -100
Pinto O -100
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nicely O -100
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, O -100
too O -100
. O -100
I O -100
' O -100
m O -100
kind O -100
of O -100
meh O -100
on O -100
the O -100
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corn O -100
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I O -100
didn O -100
' O -100
t O -100
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extra O -100
, O -100
that O -100
wasn O -100
' O -100
t O -100
really O -100
a O -100
deal O -100
breaker O -100
for O -100
me O -100
. O -100
I O -100
definitely O -100
will O -100
be O -100
coming O -100
back O -100
here O -100
. O -100
They O -100
have O -100
ample O -100
parking O -100
, O -100
the O -100
space O -100
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really O -100
nice O -100
, O -100
and O -100
I O -100
really O -100
appreciate O -100
the O -100
fact O -100
that O -100
they O -100
seem O -100
to O -100
be O -100
doing O -100
their O -100
homework O -100
and O -100
improving O -100
what O -100
they O -100
can O -100
. O -100
I O -100
really O -100
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if O -100
they O -100
continue O -100
the O -100
way O -100
that O -100
they O -100
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that O -100
this O -100
place O -100
will O -100
just O -100
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better O -100
with O -100
time O -100
. O -100

I O -100
' O -100
m O -100
having O -100
trouble O -100
deciding O -100
how O -100
to O -100
rate O -100
Tomatillos O -100
, O -100
because O -100
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things O -100
were O -100
definitely O -100
five O -100
star O -100
, O -100
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other O -100
things O -100
were O -100
kinda O -100
meh O -100
. O -100
However O -100
, O -100
I O -100
have O -100
to O -100
give O -100
them O -100
props O -100
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it O -100
seems O -100
like O -100
they O -100
' O -100
re O -100
using O -100
Yelp O -100
in O -100
the O -100
right O -100
way O -100
they O -100
' O -100
re O -100
using O -100
it O -100
to O -100
get O -100
a O -100
consensus O -100
and O -100
improve O -100
on O -100
things O -100
. O -100
I O -100
read O -100
about O -100
tomatillos O -100
a O -100
while O -100
ago O -100
online O -100
, O -100
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since O -100
then O -100
I O -100
' O -100
ve O -100
been O -100
curious O -100
to O -100
try O -100
it O -100
. O -100
After O -100
a O -100
productive O -100
study O -100
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, O -100
I O -100
went O -100
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a O -100
friend O -100
here O -100
for O -100
lunch O -100
. O -100
Their O -100
special O -100
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tempting O -100
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having O -100
seen O -100
their O -100
menu O -100
online O -100
, O -100
I O -100
' O -100
ve O -100
been O -100
dying O -100
to O -100
try O -100
their O -100
potato O -100
and O -100
green O -100
chile O -100
burrito O -100
, O -100
so O -100
that O -100
' O -100
s O -100
what O -100
I O -100
ordered O -100
. O -100
Since O -100
we O -100
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there O -100
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lunch O -100
, O -100
the O -100
guy O -100
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the O -100
counter O -100
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me O -100
they O -100
actually O -100
had O -100
a O -100
lunch O -100
special O -100
where O -100
for O -100
$ O -100
8 O -100
you O -100
could O -100
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a O -100
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, O -100
chips O -100
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a O -100
drink O -100
. O -100
Sounded O -100
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a O -100
pretty O -100
good O -100
deal O -100
, O -100
so O -100
I O -100
got O -100
it O -100
. O -100
This O -100
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where O -100
I O -100
hand O -100
it O -100
to O -100
them O -100
. O -100
I O -100
assumed O -100
that O -100
all O -100
the O -100
extra O -100
toppings O -100
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, O -100
extra O -100
, O -100
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there O -100
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a O -100
price O -100
written O -100
next O -100
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them O -100
like O -100
there O -100
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on O -100
the O -100
menu O -100
I O -100
saw O -100
online O -100
. O -100
I O -100
then O -100
found O -100
out O -100
that O -100
they O -100
aren O -100
' O -100
t O -100
, O -100
so O -100
I O -100
also O -100
got O -100
roasted O -100
corn O -100
and O -100
avocado O -100
added O -100
to O -100
my O -100
burrito O -100
( O -100
I O -100
didn O -100
' O -100
t O -100
want O -100
to O -100
add O -100
too O -100
much O -100
and O -100
have O -100
the O -100
burrito O -100
be O -100
untenably O -100
huge O -100
! O -100
) O -100
. O -100
My O -100
friend O -100
ordered O -100
a O -100
shrimp O -100
quesadilla O -100
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had O -100
like O -100
four O -100
extra O -100
toppings O -100
added O -100
to O -100
his O -100
. O -100
There O -100
were O -100
a O -100
couple O -100
of O -100
minor O -100
things O -100
that O -100
bothered O -100
me O -100
. O -100
After O -100
ordering O -100
at O -100
the O -100
counter O -100
, O -100
I O -100
wasn O -100
' O -100
t O -100
sure O -100
if O -100
I O -100
was O -100
supposed O -100
to O -100
go O -100
up O -100
and O -100
get O -100
my O -100
burrito O -100
once O -100
they O -100
called O -100
it O -100
out O -100
, O -100
or O -100
if O -100
I O -100
was O -100
supposed O -100
to O -100
wait O -100
for O -100
someone O -100
to O -100
bring O -100
it O -100
to O -100
me O -100
. O -100
There O -100
' O -100
s O -100
nothing O -100
stated O -100
anywhere O -100
, O -100
and O -100
they O -100
surely O -100
didn O -100
' O -100
t O -100
say O -100
anything O -100
, O -100
so O -100
I O -100
just O -100
went O -100
up O -100
and O -100
got O -100
it O -100
. O -100
But O -100
then O -100
a O -100
couple O -100
after O -100
us O -100
had O -100
their O -100
food O -100
brought O -100
to O -100
them O -100
by O -100
the O -100
guy O -100
at O -100
the O -100
counter O -100
. O -100
Hmm O -100
. O -100
Odd O -100
. O -100
I O -100
was O -100
also O -100
kinda O -100
" O -100
meh O -100
" O -100
on O -100
the O -100
salsa O -100
at O -100
the O -100
table O -100
, O -100
and O -100
the O -100
chips O -100
that O -100
came O -100
with O -100
my O -100
lunch O -100
special O -100
. O -100
The O -100
chips B-ASP -100
tasted O -100
a O -100
little O -100
greasy O -100
to O -100
me O -100
, O -100
and O -100
the O -100
salsas B-ASP Negative
just O -100
weren O -100
' O -100
t O -100
that O -100
great O -100
. O -100
I O -100
was O -100
expecting O -100
the O -100
tomatillo O -100
salsa O -100
to O -100
be O -100
amazing O -100
, O -100
considering O -100
the O -100
name O -100
of O -100
the O -100
restaurant O -100
was O -100
called O -100
tomatillos O -100
. O -100
Instead O -100
, O -100
it O -100
just O -100
tasted O -100
like O -100
they O -100
added O -100
waaaaaaaaay O -100
too O -100
much O -100
lime O -100
juice O -100
to O -100
me O -100
. O -100
I O -100
cannot O -100
remember O -100
a O -100
single O -100
thing O -100
about O -100
the O -100
red O -100
salsa O -100
, O -100
which O -100
just O -100
is O -100
a O -100
bad O -100
sign O -100
, O -100
considering O -100
I O -100
ate O -100
there O -100
like O -100
3 O -100
hours O -100
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. O -100
I O -100
will O -100
say O -100
though O -100
, O -100
that O -100
the O -100
potato B-ASP -100
and I-ASP -100
green O -100
chile O -100
was O -100
AMAZING O -100
. O -100
Definitely O -100
the O -100
best O -100
parts O -100
of O -100
the O -100
burrito O -100
were O -100
the O -100
very O -100
nicely O -100
seasoned O -100
potatoes O -100
, O -100
and O -100
the O -100
absolutely O -100
delicious O -100
blend O -100
of O -100
cheese B-ASP -100
they O -100
used O -100
inside O -100
. O -100
Pinto O -100
beans O -100
were O -100
nicely O -100
cooked O -100
, O -100
too O -100
. O -100
I O -100
' O -100
m O -100
kind O -100
of O -100
meh O -100
on O -100
the O -100
roasted O -100
corn O -100
, O -100
but O -100
since O -100
I O -100
didn O -100
' O -100
t O -100
pay B-ASP -100
extra O -100
, O -100
that O -100
wasn O -100
' O -100
t O -100
really O -100
a O -100
deal O -100
breaker O -100
for O -100
me O -100
. O -100
I O -100
definitely O -100
will O -100
be O -100
coming O -100
back O -100
here O -100
. O -100
They O -100
have O -100
ample O -100
parking O -100
, O -100
the O -100
space O -100
is O -100
really O -100
nice O -100
, O -100
and O -100
I O -100
really O -100
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the O -100
fact O -100
that O -100
they O -100
seem O -100
to O -100
be O -100
doing O -100
their O -100
homework O -100
and O -100
improving O -100
what O -100
they O -100
can O -100
. O -100
I O -100
really O -100
think O -100
if O -100
they O -100
continue O -100
the O -100
way O -100
that O -100
they O -100
are O -100
, O -100
that O -100
this O -100
place O -100
will O -100
just O -100
get O -100
better O -100
with O -100
time O -100
. O -100

I O -100
' O -100
m O -100
having O -100
trouble O -100
deciding O -100
how O -100
to O -100
rate O -100
Tomatillos O -100
, O -100
because O -100
certain O -100
things O -100
were O -100
definitely O -100
five O -100
star O -100
, O -100
and O -100
other O -100
things O -100
were O -100
kinda O -100
meh O -100
. O -100
However O -100
, O -100
I O -100
have O -100
to O -100
give O -100
them O -100
props O -100
because O -100
it O -100
seems O -100
like O -100
they O -100
' O -100
re O -100
using O -100
Yelp O -100
in O -100
the O -100
right O -100
way O -100
they O -100
' O -100
re O -100
using O -100
it O -100
to O -100
get O -100
a O -100
consensus O -100
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improve O -100
on O -100
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. O -100
I O -100
read O -100
about O -100
tomatillos O -100
a O -100
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ago O -100
online O -100
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since O -100
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I O -100
' O -100
ve O -100
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. O -100
After O -100
a O -100
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I O -100
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lunch O -100
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Their O -100
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I O -100
' O -100
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chile O -100
burrito O -100
, O -100
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' O -100
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I O -100
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lunch O -100
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burrito O -100
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a O -100
drink O -100
. O -100
Sounded O -100
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, O -100
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I O -100
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it O -100
. O -100
This O -100
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I O -100
hand O -100
it O -100
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them O -100
. O -100
I O -100
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that O -100
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the O -100
extra O -100
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online O -100
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I O -100
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' O -100
t O -100
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roasted O -100
corn O -100
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my O -100
burrito O -100
( O -100
I O -100
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' O -100
t O -100
want O -100
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much O -100
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the O -100
burrito O -100
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huge O -100
! O -100
) O -100
. O -100
My O -100
friend O -100
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shrimp O -100
quesadilla O -100
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like O -100
four O -100
extra O -100
toppings O -100
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his O -100
. O -100
There O -100
were O -100
a O -100
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minor O -100
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that O -100
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me O -100
. O -100
After O -100
ordering O -100
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counter O -100
, O -100
I O -100
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' O -100
t O -100
sure O -100
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I O -100
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my O -100
burrito O -100
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I O -100
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someone O -100
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There O -100
' O -100
s O -100
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' O -100
t O -100
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I O -100
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But O -100
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Hmm O -100
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Odd O -100
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I O -100
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" O -100
meh O -100
" O -100
on O -100
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table O -100
, O -100
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special O -100
. O -100
The O -100
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tasted O -100
a O -100
little O -100
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to O -100
me O -100
, O -100
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the O -100
salsas B-ASP -100
just O -100
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' O -100
t O -100
that O -100
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I O -100
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the O -100
tomatillo O -100
salsa O -100
to O -100
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, O -100
considering O -100
the O -100
name O -100
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the O -100
restaurant O -100
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. O -100
Instead O -100
, O -100
it O -100
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juice O -100
to O -100
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. O -100
I O -100
cannot O -100
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a O -100
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about O -100
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salsa O -100
, O -100
which O -100
just O -100
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I O -100
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3 O -100
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. O -100
I O -100
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that O -100
the O -100
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green O -100
chile O -100
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AMAZING O -100
. O -100
Definitely O -100
the O -100
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the O -100
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, O -100
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inside O -100
. O -100
Pinto O -100
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, O -100
too O -100
. O -100
I O -100
' O -100
m O -100
kind O -100
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I O -100
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' O -100
t O -100
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, O -100
that O -100
wasn O -100
' O -100
t O -100
really O -100
a O -100
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breaker O -100
for O -100
me O -100
. O -100
I O -100
definitely O -100
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coming O -100
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here O -100
. O -100
They O -100
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, O -100
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space O -100
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really O -100
nice O -100
, O -100
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I O -100
really O -100
appreciate O -100
the O -100
fact O -100
that O -100
they O -100
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doing O -100
their O -100
homework O -100
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I O -100
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that O -100
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place O -100
will O -100
just O -100
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with O -100
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. O -100

I O -100
' O -100
m O -100
having O -100
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deciding O -100
how O -100
to O -100
rate O -100
Tomatillos O -100
, O -100
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were O -100
definitely O -100
five O -100
star O -100
, O -100
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other O -100
things O -100
were O -100
kinda O -100
meh O -100
. O -100
However O -100
, O -100
I O -100
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to O -100
give O -100
them O -100
props O -100
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it O -100
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' O -100
re O -100
using O -100
Yelp O -100
in O -100
the O -100
right O -100
way O -100
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' O -100
re O -100
using O -100
it O -100
to O -100
get O -100
a O -100
consensus O -100
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. O -100
I O -100
read O -100
about O -100
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a O -100
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ago O -100
online O -100
, O -100
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I O -100
' O -100
ve O -100
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curious O -100
to O -100
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it O -100
. O -100
After O -100
a O -100
productive O -100
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, O -100
I O -100
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a O -100
friend O -100
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lunch O -100
. O -100
Their O -100
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their O -100
menu O -100
online O -100
, O -100
I O -100
' O -100
ve O -100
been O -100
dying O -100
to O -100
try O -100
their O -100
potato O -100
and O -100
green O -100
chile O -100
burrito O -100
, O -100
so O -100
that O -100
' O -100
s O -100
what O -100
I O -100
ordered O -100
. O -100
Since O -100
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there O -100
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lunch O -100
, O -100
the O -100
guy O -100
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the O -100
counter O -100
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lunch O -100
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$ O -100
8 O -100
you O -100
could O -100
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a O -100
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, O -100
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a O -100
drink O -100
. O -100
Sounded O -100
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a O -100
pretty O -100
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, O -100
so O -100
I O -100
got O -100
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. O -100
This O -100
is O -100
where O -100
I O -100
hand O -100
it O -100
to O -100
them O -100
. O -100
I O -100
assumed O -100
that O -100
all O -100
the O -100
extra O -100
toppings O -100
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, O -100
extra O -100
, O -100
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there O -100
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a O -100
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next O -100
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them O -100
like O -100
there O -100
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on O -100
the O -100
menu O -100
I O -100
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online O -100
. O -100
I O -100
then O -100
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out O -100
that O -100
they O -100
aren O -100
' O -100
t O -100
, O -100
so O -100
I O -100
also O -100
got O -100
roasted O -100
corn O -100
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avocado O -100
added O -100
to O -100
my O -100
burrito O -100
( O -100
I O -100
didn O -100
' O -100
t O -100
want O -100
to O -100
add O -100
too O -100
much O -100
and O -100
have O -100
the O -100
burrito O -100
be O -100
untenably O -100
huge O -100
! O -100
) O -100
. O -100
My O -100
friend O -100
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a O -100
shrimp O -100
quesadilla O -100
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had O -100
like O -100
four O -100
extra O -100
toppings O -100
added O -100
to O -100
his O -100
. O -100
There O -100
were O -100
a O -100
couple O -100
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minor O -100
things O -100
that O -100
bothered O -100
me O -100
. O -100
After O -100
ordering O -100
at O -100
the O -100
counter O -100
, O -100
I O -100
wasn O -100
' O -100
t O -100
sure O -100
if O -100
I O -100
was O -100
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to O -100
go O -100
up O -100
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my O -100
burrito O -100
once O -100
they O -100
called O -100
it O -100
out O -100
, O -100
or O -100
if O -100
I O -100
was O -100
supposed O -100
to O -100
wait O -100
for O -100
someone O -100
to O -100
bring O -100
it O -100
to O -100
me O -100
. O -100
There O -100
' O -100
s O -100
nothing O -100
stated O -100
anywhere O -100
, O -100
and O -100
they O -100
surely O -100
didn O -100
' O -100
t O -100
say O -100
anything O -100
, O -100
so O -100
I O -100
just O -100
went O -100
up O -100
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it O -100
. O -100
But O -100
then O -100
a O -100
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us O -100
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their O -100
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brought O -100
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them O -100
by O -100
the O -100
guy O -100
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the O -100
counter O -100
. O -100
Hmm O -100
. O -100
Odd O -100
. O -100
I O -100
was O -100
also O -100
kinda O -100
" O -100
meh O -100
" O -100
on O -100
the O -100
salsa O -100
at O -100
the O -100
table O -100
, O -100
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the O -100
chips O -100
that O -100
came O -100
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my O -100
lunch O -100
special O -100
. O -100
The O -100
chips B-ASP -100
tasted O -100
a O -100
little O -100
greasy O -100
to O -100
me O -100
, O -100
and O -100
the O -100
salsas B-ASP -100
just O -100
weren O -100
' O -100
t O -100
that O -100
great O -100
. O -100
I O -100
was O -100
expecting O -100
the O -100
tomatillo O -100
salsa O -100
to O -100
be O -100
amazing O -100
, O -100
considering O -100
the O -100
name O -100
of O -100
the O -100
restaurant O -100
was O -100
called O -100
tomatillos O -100
. O -100
Instead O -100
, O -100
it O -100
just O -100
tasted O -100
like O -100
they O -100
added O -100
waaaaaaaaay O -100
too O -100
much O -100
lime O -100
juice O -100
to O -100
me O -100
. O -100
I O -100
cannot O -100
remember O -100
a O -100
single O -100
thing O -100
about O -100
the O -100
red O -100
salsa O -100
, O -100
which O -100
just O -100
is O -100
a O -100
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, O -100
considering O -100
I O -100
ate O -100
there O -100
like O -100
3 O -100
hours O -100
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. O -100
I O -100
will O -100
say O -100
though O -100
, O -100
that O -100
the O -100
potato B-ASP -100
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green O -100
chile O -100
was O -100
AMAZING O -100
. O -100
Definitely O -100
the O -100
best O -100
parts O -100
of O -100
the O -100
burrito O -100
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the O -100
very O -100
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seasoned O -100
potatoes O -100
, O -100
and O -100
the O -100
absolutely O -100
delicious O -100
blend O -100
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cheese B-ASP Positive
they O -100
used O -100
inside O -100
. O -100
Pinto O -100
beans O -100
were O -100
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cooked O -100
, O -100
too O -100
. O -100
I O -100
' O -100
m O -100
kind O -100
of O -100
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on O -100
the O -100
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corn O -100
, O -100
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since O -100
I O -100
didn O -100
' O -100
t O -100
pay B-ASP -100
extra O -100
, O -100
that O -100
wasn O -100
' O -100
t O -100
really O -100
a O -100
deal O -100
breaker O -100
for O -100
me O -100
. O -100
I O -100
definitely O -100
will O -100
be O -100
coming O -100
back O -100
here O -100
. O -100
They O -100
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ample O -100
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, O -100
the O -100
space O -100
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really O -100
nice O -100
, O -100
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I O -100
really O -100
appreciate O -100
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fact O -100
that O -100
they O -100
seem O -100
to O -100
be O -100
doing O -100
their O -100
homework O -100
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improving O -100
what O -100
they O -100
can O -100
. O -100
I O -100
really O -100
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if O -100
they O -100
continue O -100
the O -100
way O -100
that O -100
they O -100
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, O -100
that O -100
this O -100
place O -100
will O -100
just O -100
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with O -100
time O -100
. O -100

I O -100
' O -100
m O -100
having O -100
trouble O -100
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how O -100
to O -100
rate O -100
Tomatillos O -100
, O -100
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certain O -100
things O -100
were O -100
definitely O -100
five O -100
star O -100
, O -100
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other O -100
things O -100
were O -100
kinda O -100
meh O -100
. O -100
However O -100
, O -100
I O -100
have O -100
to O -100
give O -100
them O -100
props O -100
because O -100
it O -100
seems O -100
like O -100
they O -100
' O -100
re O -100
using O -100
Yelp O -100
in O -100
the O -100
right O -100
way O -100
they O -100
' O -100
re O -100
using O -100
it O -100
to O -100
get O -100
a O -100
consensus O -100
and O -100
improve O -100
on O -100
things O -100
. O -100
I O -100
read O -100
about O -100
tomatillos O -100
a O -100
while O -100
ago O -100
online O -100
, O -100
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since O -100
then O -100
I O -100
' O -100
ve O -100
been O -100
curious O -100
to O -100
try O -100
it O -100
. O -100
After O -100
a O -100
productive O -100
study O -100
session O -100
, O -100
I O -100
went O -100
with O -100
a O -100
friend O -100
here O -100
for O -100
lunch O -100
. O -100
Their O -100
special O -100
sounded O -100
tempting O -100
, O -100
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after O -100
having O -100
seen O -100
their O -100
menu O -100
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potato O -100
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potato B-ASP -100
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Definitely O -100
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" O -100
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' O -100
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buttermilk O -100
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roll O -100
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gravy O -100
I O -100
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. O -100
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the O -100
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breakfast O -100
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come O -100
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dishes B-ASP -100
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done O -100
to O -100
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! O -100
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me O -100
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. O -100
. O -100
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me O -100
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brunch O -100
food O -100
, O -100
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vodka B-ASP -100
' O -100
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. O -100
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" O -100
roll O -100
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" O -100
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that O -100
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' O -100
s O -100
, O -100
awesome O -100
buttermilk O -100
biscuits B-ASP -100
. O -100
I O -100
ordered O -100
the O -100
" O -100
roll O -100
over O -100
" O -100
two O -100
potato O -100
cakes O -100
that O -100
had O -100
a O -100
egg O -100
scramble O -100
with O -100
delicious O -100
sausage O -100
that O -100
wasn O -100
' O -100
t O -100
gross O -100
and O -100
covered O -100
in O -100
grease O -100
and O -100
then O -100
all O -100
of O -100
this O -100
was O -100
topped O -100
with O -100
your O -100
choice O -100
of O -100
a O -100
bacon O -100
gravy O -100
or O -100
a O -100
mushroom O -100
and O -100
rosemary O -100
gravy O -100
. O -100
Personally O -100
, O -100
I O -100
chose O -100
the O -100
mushroom O -100
rosemary O -100
gravy O -100
and O -100
I O -100
think O -100
that O -100
it O -100
was O -100
hands O -100
down O -100
the O -100
best O -100
gravy O -100
I O -100
had O -100
ever O -100
tried O -100
. O -100
I O -100
might O -100
has O -100
well O -100
licked O -100
the O -100
entire O -100
plate B-ASP Positive
because O -100
it O -100
looked O -100
like O -100
it O -100
when O -100
I O -100
was O -100
finished O -100
. O -100
The O -100
flavors O -100
were O -100
just O -100
right O -100
and O -100
I O -100
was O -100
shocked O -100
at O -100
the O -100
lack O -100
of O -100
greasiness O -100
that O -100
usual O -100
breakfast O -100
foods O -100
come O -100
with O -100
and O -100
their O -100
perfectly O -100
prepared O -100
dishes B-ASP -100
were O -100
done O -100
to O -100
my O -100
liking O -100
! O -100
Lastly O -100
, O -100
make O -100
sure O -100
you O -100
order O -100
the O -100
biscuit O -100
too O -100
because O -100
it O -100
' O -100
s O -100
heaven O -100
baked O -100
in O -100
the O -100
oven O -100
for O -100
your O -100
enjoyment O -100
. O -100
Take O -100
care O -100
& O -100
savor O -100
it O -100
up O -100
! O -100

It O -100
' O -100
s O -100
crazy O -100
how O -100
establishments O -100
on O -100
the O -100
west O -100
coast O -100
have O -100
so O -100
many O -100
more O -100
yelp O -100
reviews O -100
than O -100
places O -100
on O -100
the O -100
east O -100
coast O -100
. O -100
I O -100
find O -100
this O -100
extremely O -100
fascinating O -100
and O -100
I O -100
wish O -100
more O -100
people B-ASP -100
would O -100
be O -100
as O -100
passionate O -100
as O -100
the O -100
west O -100
coast O -100
has O -100
proven O -100
to O -100
me O -100
. O -100
It O -100
was O -100
recommended O -100
that O -100
we O -100
go O -100
here O -100
for O -100
brunch O -100
. O -100
. O -100
. O -100
needless O -100
to O -100
say O -100
whomever O -100
told O -100
me O -100
this O -100
, O -100
is O -100
a O -100
genius O -100
. O -100
Fresh O -100
brunch O -100
food O -100
, O -100
delicious O -100
infused O -100
vodka B-ASP -100
' O -100
s O -100
, O -100
awesome O -100
buttermilk O -100
biscuits B-ASP -100
. O -100
I O -100
ordered O -100
the O -100
" O -100
roll O -100
over O -100
" O -100
two O -100
potato O -100
cakes O -100
that O -100
had O -100
a O -100
egg O -100
scramble O -100
with O -100
delicious O -100
sausage O -100
that O -100
wasn O -100
' O -100
t O -100
gross O -100
and O -100
covered O -100
in O -100
grease O -100
and O -100
then O -100
all O -100
of O -100
this O -100
was O -100
topped O -100
with O -100
your O -100
choice O -100
of O -100
a O -100
bacon O -100
gravy O -100
or O -100
a O -100
mushroom O -100
and O -100
rosemary O -100
gravy O -100
. O -100
Personally O -100
, O -100
I O -100
chose O -100
the O -100
mushroom O -100
rosemary O -100
gravy O -100
and O -100
I O -100
think O -100
that O -100
it O -100
was O -100
hands O -100
down O -100
the O -100
best O -100
gravy O -100
I O -100
had O -100
ever O -100
tried O -100
. O -100
I O -100
might O -100
has O -100
well O -100
licked O -100
the O -100
entire O -100
plate B-ASP -100
because O -100
it O -100
looked O -100
like O -100
it O -100
when O -100
I O -100
was O -100
finished O -100
. O -100
The O -100
flavors O -100
were O -100
just O -100
right O -100
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I O -100
was O -100
shocked O -100
at O -100
the O -100
lack O -100
of O -100
greasiness O -100
that O -100
usual O -100
breakfast O -100
foods O -100
come O -100
with O -100
and O -100
their O -100
perfectly O -100
prepared O -100
dishes B-ASP Positive
were O -100
done O -100
to O -100
my O -100
liking O -100
! O -100
Lastly O -100
, O -100
make O -100
sure O -100
you O -100
order O -100
the O -100
biscuit O -100
too O -100
because O -100
it O -100
' O -100
s O -100
heaven O -100
baked O -100
in O -100
the O -100
oven O -100
for O -100
your O -100
enjoyment O -100
. O -100
Take O -100
care O -100
& O -100
savor O -100
it O -100
up O -100
! O -100

Perfect O -100
spices B-ASP Positive
, O -100
nice O -100
atmosphere B-ASP -100
& O -100
music B-ASP -100
, O -100
great O -100
lighting O -100
and O -100
decor O -100
. O -100
Even O -100
the O -100
restroom O -100
area O -100
is O -100
pretty O -100
cool O -100
. O -100
Will O -100
definitely O -100
come O -100
again O -100
. O -100

Perfect O -100
spices B-ASP -100
, O -100
nice O -100
atmosphere B-ASP Positive
& O -100
music B-ASP -100
, O -100
great O -100
lighting O -100
and O -100
decor O -100
. O -100
Even O -100
the O -100
restroom O -100
area O -100
is O -100
pretty O -100
cool O -100
. O -100
Will O -100
definitely O -100
come O -100
again O -100
. O -100

Perfect O -100
spices B-ASP -100
, O -100
nice O -100
atmosphere B-ASP -100
& O -100
music B-ASP Positive
, O -100
great O -100
lighting O -100
and O -100
decor O -100
. O -100
Even O -100
the O -100
restroom O -100
area O -100
is O -100
pretty O -100
cool O -100
. O -100
Will O -100
definitely O -100
come O -100
again O -100
. O -100

Was O -100
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that O -100
great O -100
. O -100
We O -100
sat O -100
for O -100
like O -100
15 O -100
mins B-ASP Negative
before O -100
getting O -100
our O -100
drink O -100
orders O -100
done O -100
. O -100
We O -100
were O -100
literally O -100
the O -100
only O -100
table O -100
in O -100
the O -100
restaurant O -100
taken O -100
. O -100
We O -100
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like O -100
3 O -100
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waiters O -100
. O -100
Appetizers O -100
all O -100
came O -100
out O -100
within O -100
like O -100
5 O -100
10 O -100
min B-ASP -100
intervals O -100
of O -100
each O -100
other O -100
. O -100
All O -100
3 O -100
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us O -100
ordered O -100
2 O -100
different O -100
rolls O -100
and O -100
it O -100
took O -100
like O -100
30 O -100
mins B-ASP -100
to O -100
come O -100
out O -100
. O -100
Sushi B-ASP -100
was O -100
alright O -100
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I O -100
would O -100
say O -100
to O -100
much O -100
for O -100
the O -100
quality O -100
. O -100

Was O -100
not O -100
that O -100
great O -100
. O -100
We O -100
sat O -100
for O -100
like O -100
15 O -100
mins B-ASP -100
before O -100
getting O -100
our O -100
drink O -100
orders O -100
done O -100
. O -100
We O -100
were O -100
literally O -100
the O -100
only O -100
table O -100
in O -100
the O -100
restaurant O -100
taken O -100
. O -100
We O -100
had O -100
like O -100
3 O -100
different O -100
waiters O -100
. O -100
Appetizers O -100
all O -100
came O -100
out O -100
within O -100
like O -100
5 O -100
10 O -100
min B-ASP Negative
intervals O -100
of O -100
each O -100
other O -100
. O -100
All O -100
3 O -100
of O -100
us O -100
ordered O -100
2 O -100
different O -100
rolls O -100
and O -100
it O -100
took O -100
like O -100
30 O -100
mins B-ASP -100
to O -100
come O -100
out O -100
. O -100
Sushi B-ASP -100
was O -100
alright O -100
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I O -100
would O -100
say O -100
to O -100
much O -100
for O -100
the O -100
quality O -100
. O -100

Was O -100
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that O -100
great O -100
. O -100
We O -100
sat O -100
for O -100
like O -100
15 O -100
mins B-ASP -100
before O -100
getting O -100
our O -100
drink O -100
orders O -100
done O -100
. O -100
We O -100
were O -100
literally O -100
the O -100
only O -100
table O -100
in O -100
the O -100
restaurant O -100
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We O -100
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like O -100
3 O -100
different O -100
waiters O -100
. O -100
Appetizers O -100
all O -100
came O -100
out O -100
within O -100
like O -100
5 O -100
10 O -100
min B-ASP -100
intervals O -100
of O -100
each O -100
other O -100
. O -100
All O -100
3 O -100
of O -100
us O -100
ordered O -100
2 O -100
different O -100
rolls O -100
and O -100
it O -100
took O -100
like O -100
30 O -100
mins B-ASP Negative
to O -100
come O -100
out O -100
. O -100
Sushi B-ASP -100
was O -100
alright O -100
but O -100
I O -100
would O -100
say O -100
to O -100
much O -100
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the O -100
quality O -100
. O -100

Was O -100
not O -100
that O -100
great O -100
. O -100
We O -100
sat O -100
for O -100
like O -100
15 O -100
mins B-ASP -100
before O -100
getting O -100
our O -100
drink O -100
orders O -100
done O -100
. O -100
We O -100
were O -100
literally O -100
the O -100
only O -100
table O -100
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the O -100
restaurant O -100
taken O -100
. O -100
We O -100
had O -100
like O -100
3 O -100
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waiters O -100
. O -100
Appetizers O -100
all O -100
came O -100
out O -100
within O -100
like O -100
5 O -100
10 O -100
min B-ASP -100
intervals O -100
of O -100
each O -100
other O -100
. O -100
All O -100
3 O -100
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us O -100
ordered O -100
2 O -100
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rolls O -100
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it O -100
took O -100
like O -100
30 O -100
mins B-ASP -100
to O -100
come O -100
out O -100
. O -100
Sushi B-ASP Negative
was O -100
alright O -100
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I O -100
would O -100
say O -100
to O -100
much O -100
for O -100
the O -100
quality O -100
. O -100

I O -100
think O -100
SideBar O -100
is O -100
the O -100
only O -100
restaurant O -100
downtown O -100
where O -100
you O -100
can O -100
have O -100
a O -100
2 O -100
hour O -100
lunch O -100
and O -100
only O -100
spend O -100
15 O -100
minutes O -100
of O -100
that O -100
actually O -100
eating O -100
and O -100
enjoying O -100
it O -100
. O -100
The O -100
rest O -100
is O -100
spent O -100
waiting B-ASP Negative
. O -100
Mainly O -100
for O -100
grilled O -100
cheese O -100
, O -100
which O -100
apparently O -100
takes O -100
45 O -100
minutes B-ASP -100
to O -100
make O -100
. O -100
Maybe O -100
they O -100
were O -100
furiously O -100
Googling O -100
the O -100
ingredients O -100
or O -100
something O -100
? O -100
Who O -100
knows O -100
. O -100
But O -100
for O -100
some O -100
reason O -100
it O -100
took O -100
an O -100
ungodly O -100
amount O -100
of O -100
time B-ASP -100
and O -100
was O -100
last O -100
to O -100
the O -100
table O -100
. O -100
The O -100
service B-ASP -100
was O -100
also O -100
slow O -100
, O -100
mainly O -100
because O -100
as O -100
our O -100
waitress O -100
noted O -100
, O -100
they O -100
don O -100
' O -100
t O -100
have O -100
trays O -100
so O -100
she O -100
couldn O -100
' O -100
t O -100
carry O -100
drinks O -100
or O -100
food O -100
for O -100
4 O -100
people O -100
, O -100
which O -100
resulted O -100
in O -100
multiple O -100
runs O -100
back O -100
to O -100
the O -100
kitchen O -100
and O -100
bar O -100
. O -100
Which O -100
is O -100
understandable O -100
because O -100
it O -100
TOTALLY O -100
makes O -100
sense O -100
to O -100
not O -100
have O -100
serving O -100
trays O -100
in O -100
a O -100
restaurant O -100
. O -100
I O -100
mean O -100
, O -100
how O -100
out O -100
of O -100
place O -100
would O -100
that O -100
be O -100
? O -100
Trays O -100
? O -100
In O -100
a O -100
restaurant O -100
? O -100
I O -100
can O -100
' O -100
t O -100
imagine O -100
. O -100
That O -100
would O -100
be O -100
like O -100
having O -100
alcohol O -100
at O -100
a O -100
bar O -100
. O -100
Too O -100
foreign O -100
a O -100
concept O -100
. O -100
Anyway O -100
. O -100
I O -100
get O -100
it O -100
isn O -100
' O -100
t O -100
the O -100
best O -100
or O -100
classiest O -100
place O -100
downtown O -100
, O -100
so O -100
I O -100
cut O -100
it O -100
some O -100
slack O -100
, O -100
but O -100
an O -100
obscene O -100
wait O -100
for O -100
food O -100
and O -100
a O -100
borderline O -100
inept O -100
waitress O -100
are O -100
two O -100
things O -100
you O -100
don O -100
' O -100
t O -100
want O -100
to O -100
deal O -100
with O -100
on O -100
a O -100
Thursday O -100
when O -100
you O -100
are O -100
a O -100
hung O -100
over O -100
and O -100
hungry O -100
group O -100
because O -100
you O -100
all O -100
maybe O -100
had O -100
one O -100
martini O -100
too O -100
many O -100
the O -100
previous O -100
night O -100
. O -100

I O -100
think O -100
SideBar O -100
is O -100
the O -100
only O -100
restaurant O -100
downtown O -100
where O -100
you O -100
can O -100
have O -100
a O -100
2 O -100
hour O -100
lunch O -100
and O -100
only O -100
spend O -100
15 O -100
minutes O -100
of O -100
that O -100
actually O -100
eating O -100
and O -100
enjoying O -100
it O -100
. O -100
The O -100
rest O -100
is O -100
spent O -100
waiting B-ASP -100
. O -100
Mainly O -100
for O -100
grilled O -100
cheese O -100
, O -100
which O -100
apparently O -100
takes O -100
45 O -100
minutes B-ASP Negative
to O -100
make O -100
. O -100
Maybe O -100
they O -100
were O -100
furiously O -100
Googling O -100
the O -100
ingredients O -100
or O -100
something O -100
? O -100
Who O -100
knows O -100
. O -100
But O -100
for O -100
some O -100
reason O -100
it O -100
took O -100
an O -100
ungodly O -100
amount O -100
of O -100
time B-ASP -100
and O -100
was O -100
last O -100
to O -100
the O -100
table O -100
. O -100
The O -100
service B-ASP -100
was O -100
also O -100
slow O -100
, O -100
mainly O -100
because O -100
as O -100
our O -100
waitress O -100
noted O -100
, O -100
they O -100
don O -100
' O -100
t O -100
have O -100
trays O -100
so O -100
she O -100
couldn O -100
' O -100
t O -100
carry O -100
drinks O -100
or O -100
food O -100
for O -100
4 O -100
people O -100
, O -100
which O -100
resulted O -100
in O -100
multiple O -100
runs O -100
back O -100
to O -100
the O -100
kitchen O -100
and O -100
bar O -100
. O -100
Which O -100
is O -100
understandable O -100
because O -100
it O -100
TOTALLY O -100
makes O -100
sense O -100
to O -100
not O -100
have O -100
serving O -100
trays O -100
in O -100
a O -100
restaurant O -100
. O -100
I O -100
mean O -100
, O -100
how O -100
out O -100
of O -100
place O -100
would O -100
that O -100
be O -100
? O -100
Trays O -100
? O -100
In O -100
a O -100
restaurant O -100
? O -100
I O -100
can O -100
' O -100
t O -100
imagine O -100
. O -100
That O -100
would O -100
be O -100
like O -100
having O -100
alcohol O -100
at O -100
a O -100
bar O -100
. O -100
Too O -100
foreign O -100
a O -100
concept O -100
. O -100
Anyway O -100
. O -100
I O -100
get O -100
it O -100
isn O -100
' O -100
t O -100
the O -100
best O -100
or O -100
classiest O -100
place O -100
downtown O -100
, O -100
so O -100
I O -100
cut O -100
it O -100
some O -100
slack O -100
, O -100
but O -100
an O -100
obscene O -100
wait O -100
for O -100
food O -100
and O -100
a O -100
borderline O -100
inept O -100
waitress O -100
are O -100
two O -100
things O -100
you O -100
don O -100
' O -100
t O -100
want O -100
to O -100
deal O -100
with O -100
on O -100
a O -100
Thursday O -100
when O -100
you O -100
are O -100
a O -100
hung O -100
over O -100
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hungry O -100
group O -100
because O -100
you O -100
all O -100
maybe O -100
had O -100
one O -100
martini O -100
too O -100
many O -100
the O -100
previous O -100
night O -100
. O -100

I O -100
think O -100
SideBar O -100
is O -100
the O -100
only O -100
restaurant O -100
downtown O -100
where O -100
you O -100
can O -100
have O -100
a O -100
2 O -100
hour O -100
lunch O -100
and O -100
only O -100
spend O -100
15 O -100
minutes O -100
of O -100
that O -100
actually O -100
eating O -100
and O -100
enjoying O -100
it O -100
. O -100
The O -100
rest O -100
is O -100
spent O -100
waiting B-ASP -100
. O -100
Mainly O -100
for O -100
grilled O -100
cheese O -100
, O -100
which O -100
apparently O -100
takes O -100
45 O -100
minutes B-ASP -100
to O -100
make O -100
. O -100
Maybe O -100
they O -100
were O -100
furiously O -100
Googling O -100
the O -100
ingredients O -100
or O -100
something O -100
? O -100
Who O -100
knows O -100
. O -100
But O -100
for O -100
some O -100
reason O -100
it O -100
took O -100
an O -100
ungodly O -100
amount O -100
of O -100
time B-ASP Negative
and O -100
was O -100
last O -100
to O -100
the O -100
table O -100
. O -100
The O -100
service B-ASP -100
was O -100
also O -100
slow O -100
, O -100
mainly O -100
because O -100
as O -100
our O -100
waitress O -100
noted O -100
, O -100
they O -100
don O -100
' O -100
t O -100
have O -100
trays O -100
so O -100
she O -100
couldn O -100
' O -100
t O -100
carry O -100
drinks O -100
or O -100
food O -100
for O -100
4 O -100
people O -100
, O -100
which O -100
resulted O -100
in O -100
multiple O -100
runs O -100
back O -100
to O -100
the O -100
kitchen O -100
and O -100
bar O -100
. O -100
Which O -100
is O -100
understandable O -100
because O -100
it O -100
TOTALLY O -100
makes O -100
sense O -100
to O -100
not O -100
have O -100
serving O -100
trays O -100
in O -100
a O -100
restaurant O -100
. O -100
I O -100
mean O -100
, O -100
how O -100
out O -100
of O -100
place O -100
would O -100
that O -100
be O -100
? O -100
Trays O -100
? O -100
In O -100
a O -100
restaurant O -100
? O -100
I O -100
can O -100
' O -100
t O -100
imagine O -100
. O -100
That O -100
would O -100
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like O -100
having O -100
alcohol O -100
at O -100
a O -100
bar O -100
. O -100
Too O -100
foreign O -100
a O -100
concept O -100
. O -100
Anyway O -100
. O -100
I O -100
get O -100
it O -100
isn O -100
' O -100
t O -100
the O -100
best O -100
or O -100
classiest O -100
place O -100
downtown O -100
, O -100
so O -100
I O -100
cut O -100
it O -100
some O -100
slack O -100
, O -100
but O -100
an O -100
obscene O -100
wait O -100
for O -100
food O -100
and O -100
a O -100
borderline O -100
inept O -100
waitress O -100
are O -100
two O -100
things O -100
you O -100
don O -100
' O -100
t O -100
want O -100
to O -100
deal O -100
with O -100
on O -100
a O -100
Thursday O -100
when O -100
you O -100
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a O -100
hung O -100
over O -100
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hungry O -100
group O -100
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you O -100
all O -100
maybe O -100
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one O -100
martini O -100
too O -100
many O -100
the O -100
previous O -100
night O -100
. O -100

I O -100
think O -100
SideBar O -100
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only O -100
restaurant O -100
downtown O -100
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you O -100
can O -100
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a O -100
2 O -100
hour O -100
lunch O -100
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only O -100
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15 O -100
minutes O -100
of O -100
that O -100
actually O -100
eating O -100
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enjoying O -100
it O -100
. O -100
The O -100
rest O -100
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spent O -100
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. O -100
Mainly O -100
for O -100
grilled O -100
cheese O -100
, O -100
which O -100
apparently O -100
takes O -100
45 O -100
minutes B-ASP -100
to O -100
make O -100
. O -100
Maybe O -100
they O -100
were O -100
furiously O -100
Googling O -100
the O -100
ingredients O -100
or O -100
something O -100
? O -100
Who O -100
knows O -100
. O -100
But O -100
for O -100
some O -100
reason O -100
it O -100
took O -100
an O -100
ungodly O -100
amount O -100
of O -100
time B-ASP -100
and O -100
was O -100
last O -100
to O -100
the O -100
table O -100
. O -100
The O -100
service B-ASP Negative
was O -100
also O -100
slow O -100
, O -100
mainly O -100
because O -100
as O -100
our O -100
waitress O -100
noted O -100
, O -100
they O -100
don O -100
' O -100
t O -100
have O -100
trays O -100
so O -100
she O -100
couldn O -100
' O -100
t O -100
carry O -100
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food O -100
for O -100
4 O -100
people O -100
, O -100
which O -100
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in O -100
multiple O -100
runs O -100
back O -100
to O -100
the O -100
kitchen O -100
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bar O -100
. O -100
Which O -100
is O -100
understandable O -100
because O -100
it O -100
TOTALLY O -100
makes O -100
sense O -100
to O -100
not O -100
have O -100
serving O -100
trays O -100
in O -100
a O -100
restaurant O -100
. O -100
I O -100
mean O -100
, O -100
how O -100
out O -100
of O -100
place O -100
would O -100
that O -100
be O -100
? O -100
Trays O -100
? O -100
In O -100
a O -100
restaurant O -100
? O -100
I O -100
can O -100
' O -100
t O -100
imagine O -100
. O -100
That O -100
would O -100
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like O -100
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alcohol O -100
at O -100
a O -100
bar O -100
. O -100
Too O -100
foreign O -100
a O -100
concept O -100
. O -100
Anyway O -100
. O -100
I O -100
get O -100
it O -100
isn O -100
' O -100
t O -100
the O -100
best O -100
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classiest O -100
place O -100
downtown O -100
, O -100
so O -100
I O -100
cut O -100
it O -100
some O -100
slack O -100
, O -100
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an O -100
obscene O -100
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for O -100
food O -100
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a O -100
borderline O -100
inept O -100
waitress O -100
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two O -100
things O -100
you O -100
don O -100
' O -100
t O -100
want O -100
to O -100
deal O -100
with O -100
on O -100
a O -100
Thursday O -100
when O -100
you O -100
are O -100
a O -100
hung O -100
over O -100
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hungry O -100
group O -100
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you O -100
all O -100
maybe O -100
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one O -100
martini O -100
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many O -100
the O -100
previous O -100
night O -100
. O -100

5 O -100
stars O -100
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the O -100
location O -100
, O -100
it O -100
' O -100
s O -100
absolutely O -100
wonderful O -100
. O -100
I O -100
ordered O -100
the O -100
shamrock O -100
bubble O -100
tea B-ASP Positive
, O -100
which O -100
was O -100
one O -100
of O -100
the O -100
best O -100
I O -100
' O -100
ve O -100
ever O -100
had O -100
. O -100
I O -100
am O -100
subtracting O -100
a O -100
star O -100
for O -100
service B-ASP -100
however O -100
. O -100
It O -100
was O -100
the O -100
barista O -100
that O -100
was O -100
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put O -100
out O -100
by O -100
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on O -100
us O -100
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the O -100
10 O -100
15 O -100
minutes B-ASP -100
it O -100
took O -100
to O -100
make O -100
the O -100
bubble O -100
tea O -100
. O -100
. O -100
. O -100
That O -100
' O -100
s O -100
a O -100
bit O -100
long O -100
for O -100
a O -100
drink O -100
. O -100

5 O -100
stars O -100
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the O -100
location O -100
, O -100
it O -100
' O -100
s O -100
absolutely O -100
wonderful O -100
. O -100
I O -100
ordered O -100
the O -100
shamrock O -100
bubble O -100
tea B-ASP -100
, O -100
which O -100
was O -100
one O -100
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the O -100
best O -100
I O -100
' O -100
ve O -100
ever O -100
had O -100
. O -100
I O -100
am O -100
subtracting O -100
a O -100
star O -100
for O -100
service B-ASP Negative
however O -100
. O -100
It O -100
was O -100
the O -100
barista O -100
that O -100
was O -100
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put O -100
out O -100
by O -100
waiting O -100
on O -100
us O -100
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the O -100
10 O -100
15 O -100
minutes B-ASP -100
it O -100
took O -100
to O -100
make O -100
the O -100
bubble O -100
tea O -100
. O -100
. O -100
. O -100
That O -100
' O -100
s O -100
a O -100
bit O -100
long O -100
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a O -100
drink O -100
. O -100

5 O -100
stars O -100
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the O -100
location O -100
, O -100
it O -100
' O -100
s O -100
absolutely O -100
wonderful O -100
. O -100
I O -100
ordered O -100
the O -100
shamrock O -100
bubble O -100
tea B-ASP -100
, O -100
which O -100
was O -100
one O -100
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the O -100
best O -100
I O -100
' O -100
ve O -100
ever O -100
had O -100
. O -100
I O -100
am O -100
subtracting O -100
a O -100
star O -100
for O -100
service B-ASP -100
however O -100
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It O -100
was O -100
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by O -100
waiting O -100
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us O -100
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then O -100
the O -100
10 O -100
15 O -100
minutes B-ASP Negative
it O -100
took O -100
to O -100
make O -100
the O -100
bubble O -100
tea O -100
. O -100
. O -100
. O -100
That O -100
' O -100
s O -100
a O -100
bit O -100
long O -100
for O -100
a O -100
drink O -100
. O -100

Located O -100
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the O -100
German O -100
Village O -100
, O -100
this O -100
Cup O -100
o O -100
Joe O -100
is O -100
the O -100
best O -100
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the O -100
chain O -100
, O -100
in O -100
my O -100
opinion O -100
. O -100
A O -100
huge O -100
dessert B-ASP Positive
selection O -100
and O -100
drink B-ASP -100
menu O -100
ensure O -100
that O -100
there O -100
' O -100
s O -100
something O -100
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everyone O -100
' O -100
s O -100
taste O -100
. O -100
The O -100
atmosphere B-ASP -100
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casual O -100
, O -100
comfortable O -100
, O -100
and O -100
relaxing O -100
. O -100
Free O -100
WiFi O -100
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a O -100
location O -100
right O -100
next O -100
to O -100
the O -100
Book O -100
Loft O -100
ensure O -100
that O -100
this O -100
place O -100
will O -100
always O -100
be O -100
doing O -100
business O -100
, O -100
despite O -100
the O -100
Starbucks O -100
across O -100
the O -100
street O -100
. O -100

Located O -100
in O -100
the O -100
German O -100
Village O -100
, O -100
this O -100
Cup O -100
o O -100
Joe O -100
is O -100
the O -100
best O -100
in O -100
the O -100
chain O -100
, O -100
in O -100
my O -100
opinion O -100
. O -100
A O -100
huge O -100
dessert B-ASP -100
selection O -100
and O -100
drink B-ASP Positive
menu O -100
ensure O -100
that O -100
there O -100
' O -100
s O -100
something O -100
for O -100
everyone O -100
' O -100
s O -100
taste O -100
. O -100
The O -100
atmosphere B-ASP -100
is O -100
casual O -100
, O -100
comfortable O -100
, O -100
and O -100
relaxing O -100
. O -100
Free O -100
WiFi O -100
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a O -100
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right O -100
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to O -100
the O -100
Book O -100
Loft O -100
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always O -100
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doing O -100
business O -100
, O -100
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the O -100
Starbucks O -100
across O -100
the O -100
street O -100
. O -100

Located O -100
in O -100
the O -100
German O -100
Village O -100
, O -100
this O -100
Cup O -100
o O -100
Joe O -100
is O -100
the O -100
best O -100
in O -100
the O -100
chain O -100
, O -100
in O -100
my O -100
opinion O -100
. O -100
A O -100
huge O -100
dessert B-ASP -100
selection O -100
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drink B-ASP -100
menu O -100
ensure O -100
that O -100
there O -100
' O -100
s O -100
something O -100
for O -100
everyone O -100
' O -100
s O -100
taste O -100
. O -100
The O -100
atmosphere B-ASP Positive
is O -100
casual O -100
, O -100
comfortable O -100
, O -100
and O -100
relaxing O -100
. O -100
Free O -100
WiFi O -100
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a O -100
location O -100
right O -100
next O -100
to O -100
the O -100
Book O -100
Loft O -100
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this O -100
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will O -100
always O -100
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doing O -100
business O -100
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the O -100
Starbucks O -100
across O -100
the O -100
street O -100
. O -100

Falafel O -100
wrap O -100
falafel O -100
with O -100
greens O -100
, O -100
pickles O -100
, O -100
and O -100
hummus O -100
in O -100
a O -100
toasted O -100
wrap O -100
. O -100
I O -100
wonder O -100
why O -100
the O -100
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so O -100
low O -100
. O -100
I O -100
entered O -100
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looking O -100
at O -100
yelp O -100
initially O -100
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checking O -100
in O -100
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seeing O -100
the O -100
amount O -100
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stars O -100
I O -100
kind O -100
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grew O -100
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assumption O -100
that O -100
it O -100
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' O -100
t O -100
going O -100
to O -100
be O -100
good O -100
. O -100
But O -100
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really O -100
good O -100
. O -100
This O -100
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probably O -100
the O -100
best O -100
falafel B-ASP Positive
wrap I-ASP Positive
I O -100
ever O -100
had O -100
. O -100
They O -100
pressed O -100
the O -100
wrap O -100
too O -100
so O -100
it O -100
has O -100
a O -100
nice O -100
crunch O -100
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still O -100
soft O -100
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chew O -100
. O -100
The O -100
falafels O -100
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' O -100
t O -100
bland O -100
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each O -100
bite O -100
tasted O -100
the O -100
same O -100
, O -100
which O -100
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great O -100
, O -100
since O -100
it O -100
' O -100
s O -100
evenly O -100
disturbed O -100
. O -100
They O -100
are O -100
far O -100
from O -100
cheap O -100
on O -100
the O -100
stuffing O -100
so O -100
eat O -100
up O -100
! O -100
The O -100
wait B-ASP -100
time O -100
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' O -100
t O -100
long O -100
during O -100
their O -100
busy O -100
time O -100
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it O -100
' O -100
s O -100
a O -100
good O -100
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for O -100
a O -100
hungry O -100
person O -100
, O -100
so O -100
I O -100
suggest O -100
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this O -100
place O -100
out O -100
. O -100

Falafel O -100
wrap O -100
falafel O -100
with O -100
greens O -100
, O -100
pickles O -100
, O -100
and O -100
hummus O -100
in O -100
a O -100
toasted O -100
wrap O -100
. O -100
I O -100
wonder O -100
why O -100
the O -100
reviews O -100
were O -100
so O -100
low O -100
. O -100
I O -100
entered O -100
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looking O -100
at O -100
yelp O -100
initially O -100
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in O -100
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seeing O -100
the O -100
amount O -100
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stars O -100
I O -100
kind O -100
of O -100
grew O -100
the O -100
assumption O -100
that O -100
it O -100
wasn O -100
' O -100
t O -100
going O -100
to O -100
be O -100
good O -100
. O -100
But O -100
it O -100
was O -100
really O -100
good O -100
. O -100
This O -100
was O -100
probably O -100
the O -100
best O -100
falafel B-ASP -100
wrap I-ASP -100
I O -100
ever O -100
had O -100
. O -100
They O -100
pressed O -100
the O -100
wrap O -100
too O -100
so O -100
it O -100
has O -100
a O -100
nice O -100
crunch O -100
but O -100
still O -100
soft O -100
to O -100
chew O -100
. O -100
The O -100
falafels O -100
weren O -100
' O -100
t O -100
bland O -100
and O -100
each O -100
bite O -100
tasted O -100
the O -100
same O -100
, O -100
which O -100
makes O -100
wraps O -100
great O -100
, O -100
since O -100
it O -100
' O -100
s O -100
evenly O -100
disturbed O -100
. O -100
They O -100
are O -100
far O -100
from O -100
cheap O -100
on O -100
the O -100
stuffing O -100
so O -100
eat O -100
up O -100
! O -100
The O -100
wait B-ASP Positive
time O -100
wasn O -100
' O -100
t O -100
long O -100
during O -100
their O -100
busy O -100
time O -100
and O -100
it O -100
' O -100
s O -100
a O -100
good O -100
portion O -100
for O -100
a O -100
hungry O -100
person O -100
, O -100
so O -100
I O -100
suggest O -100
checking O -100
this O -100
place O -100
out O -100
. O -100

If O -100
this O -100
isn O -100
' O -100
t O -100
your O -100
first O -100
time O -100
at O -100
the O -100
specialty O -100
coffee O -100
rodeo O -100
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you O -100
know O -100
you O -100
' O -100
re O -100
way O -100
around O -100
a O -100
pour O -100
over O -100
, O -100
burr O -100
grinder O -100
, O -100
and O -100
espresso O -100
machine O -100
then O -100
most O -100
likely O -100
you O -100
will O -100
be O -100
slightly O -100
annoyed O -100
that O -100
the O -100
baristas B-ASP Negative
talk O -100
to O -100
you O -100
like O -100
you O -100
' O -100
ve O -100
never O -100
heard O -100
of O -100
pour O -100
over O -100
and O -100
that O -100
they O -100
are O -100
the O -100
only O -100
place O -100
in O -100
Boston O -100
that O -100
serves O -100
good O -100
specialty O -100
coffee O -100
. O -100
I O -100
know O -100
coffee O -100
, O -100
am O -100
passionate O -100
about O -100
coffee O -100
, O -100
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Im O -100
always O -100
looking O -100
for O -100
the O -100
best O -100
roaster O -100
out O -100
there O -100
. O -100
George O -100
Howell O -100
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a O -100
legend O -100
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the O -100
coffee B-ASP -100
here O -100
is O -100
honestly O -100
not O -100
that O -100
impressive O -100
. O -100
One O -100
story O -100
I O -100
ordered O -100
an O -100
Ethiopian O -100
pour O -100
over O -100
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asked O -100
for O -100
it O -100
to O -100
be O -100
made O -100
on O -100
the O -100
machine O -100
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hand O -100
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I O -100
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watch O -100
the O -100
machine O -100
in O -100
action O -100
. O -100
I O -100
paid O -100
$ O -100
4 O -100
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my O -100
CC O -100
. O -100
I O -100
was O -100
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told O -100
that O -100
they O -100
don O -100
' O -100
t O -100
have O -100
any O -100
Ethiopian O -100
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they O -100
would O -100
make O -100
me O -100
Kenyan O -100
which O -100
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very O -100
similar O -100
( O -100
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in O -100
my O -100
opinion O -100
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ok O -100
I O -100
' O -100
ll O -100
go O -100
with O -100
it O -100
there O -100
was O -100
Ethiopian O -100
on O -100
the O -100
shelf O -100
so O -100
I O -100
' O -100
m O -100
a O -100
little O -100
confused O -100
. O -100
. O -100
. O -100
why O -100
can O -100
you O -100
just O -100
go O -100
grab O -100
it O -100
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make O -100
it O -100
for O -100
me O -100
? O -100
That O -100
is O -100
what O -100
I O -100
ordered O -100
. O -100
) O -100
Next O -100
I O -100
' O -100
m O -100
told O -100
they O -100
can O -100
' O -100
t O -100
use O -100
the O -100
machine O -100
because O -100
it O -100
isn O -100
' O -100
t O -100
on O -100
. O -100
Long O -100
story O -100
short O -100
I O -100
get O -100
my O -100
coffee O -100
after O -100
10 O -100
minutes O -100
. O -100
And O -100
after O -100
drinking O -100
it O -100
I O -100
am O -100
never O -100
asked O -100
how O -100
it O -100
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, O -100
if O -100
I O -100
was O -100
ok O -100
with O -100
them O -100
switching O -100
out O -100
the O -100
coffee O -100
I O -100
ordered O -100
. O -100
I O -100
don O -100
' O -100
t O -100
know O -100
about O -100
you O -100
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I O -100
expect O -100
more O -100
. O -100
I O -100
' O -100
ve O -100
decided O -100
that O -100
my O -100
coffee O -100
money O -100
is O -100
better O -100
spent O -100
elsewhere O -100
supporting O -100
people O -100
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roasters O -100
that O -100
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starting O -100
out O -100
. O -100
Sorry O -100
George O -100
, O -100
but O -100
ya O -100
let O -100
me O -100
down O -100
. O -100

If O -100
this O -100
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' O -100
t O -100
your O -100
first O -100
time O -100
at O -100
the O -100
specialty O -100
coffee O -100
rodeo O -100
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you O -100
know O -100
you O -100
' O -100
re O -100
way O -100
around O -100
a O -100
pour O -100
over O -100
, O -100
burr O -100
grinder O -100
, O -100
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espresso O -100
machine O -100
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most O -100
likely O -100
you O -100
will O -100
be O -100
slightly O -100
annoyed O -100
that O -100
the O -100
baristas B-ASP -100
talk O -100
to O -100
you O -100
like O -100
you O -100
' O -100
ve O -100
never O -100
heard O -100
of O -100
pour O -100
over O -100
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that O -100
they O -100
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the O -100
only O -100
place O -100
in O -100
Boston O -100
that O -100
serves O -100
good O -100
specialty O -100
coffee O -100
. O -100
I O -100
know O -100
coffee O -100
, O -100
am O -100
passionate O -100
about O -100
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, O -100
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Im O -100
always O -100
looking O -100
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the O -100
best O -100
roaster O -100
out O -100
there O -100
. O -100
George O -100
Howell O -100
is O -100
a O -100
legend O -100
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the O -100
coffee B-ASP Negative
here O -100
is O -100
honestly O -100
not O -100
that O -100
impressive O -100
. O -100
One O -100
story O -100
I O -100
ordered O -100
an O -100
Ethiopian O -100
pour O -100
over O -100
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asked O -100
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it O -100
to O -100
be O -100
made O -100
on O -100
the O -100
machine O -100
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hand O -100
as O -100
I O -100
wanted O -100
to O -100
watch O -100
the O -100
machine O -100
in O -100
action O -100
. O -100
I O -100
paid O -100
$ O -100
4 O -100
with O -100
my O -100
CC O -100
. O -100
I O -100
was O -100
then O -100
told O -100
that O -100
they O -100
don O -100
' O -100
t O -100
have O -100
any O -100
Ethiopian O -100
but O -100
they O -100
would O -100
make O -100
me O -100
Kenyan O -100
which O -100
is O -100
very O -100
similar O -100
( O -100
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in O -100
my O -100
opinion O -100
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ok O -100
I O -100
' O -100
ll O -100
go O -100
with O -100
it O -100
there O -100
was O -100
Ethiopian O -100
on O -100
the O -100
shelf O -100
so O -100
I O -100
' O -100
m O -100
a O -100
little O -100
confused O -100
. O -100
. O -100
. O -100
why O -100
can O -100
you O -100
just O -100
go O -100
grab O -100
it O -100
and O -100
make O -100
it O -100
for O -100
me O -100
? O -100
That O -100
is O -100
what O -100
I O -100
ordered O -100
. O -100
) O -100
Next O -100
I O -100
' O -100
m O -100
told O -100
they O -100
can O -100
' O -100
t O -100
use O -100
the O -100
machine O -100
because O -100
it O -100
isn O -100
' O -100
t O -100
on O -100
. O -100
Long O -100
story O -100
short O -100
I O -100
get O -100
my O -100
coffee O -100
after O -100
10 O -100
minutes O -100
. O -100
And O -100
after O -100
drinking O -100
it O -100
I O -100
am O -100
never O -100
asked O -100
how O -100
it O -100
was O -100
, O -100
if O -100
I O -100
was O -100
ok O -100
with O -100
them O -100
switching O -100
out O -100
the O -100
coffee O -100
I O -100
ordered O -100
. O -100
I O -100
don O -100
' O -100
t O -100
know O -100
about O -100
you O -100
but O -100
I O -100
expect O -100
more O -100
. O -100
I O -100
' O -100
ve O -100
decided O -100
that O -100
my O -100
coffee O -100
money O -100
is O -100
better O -100
spent O -100
elsewhere O -100
supporting O -100
people O -100
and O -100
roasters O -100
that O -100
are O -100
starting O -100
out O -100
. O -100
Sorry O -100
George O -100
, O -100
but O -100
ya O -100
let O -100
me O -100
down O -100
. O -100

If O -100
service O -100
is O -100
any O -100
indication O -100
, O -100
then O -100
I O -100
' O -100
m O -100
never O -100
going O -100
back O -100
. O -100
We O -100
were O -100
basically O -100
seated O -100
at O -100
a O -100
table O -100
by O -100
the O -100
host O -100
, O -100
then O -100
told O -100
quite O -100
rudely O -100
by O -100
the O -100
server B-ASP Negative
that O -100
we O -100
couldn O -100
' O -100
t O -100
sit O -100
there O -100
. O -100
Then O -100
we O -100
proceeded O -100
to O -100
watch O -100
as O -100
the O -100
host O -100
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server O -100
fought O -100
over O -100
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we O -100
could O -100
sit O -100
there O -100
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not O -100
( O -100
while O -100
we O -100
were O -100
trying O -100
to O -100
scurry O -100
away O -100
) O -100
. O -100
Finally O -100
we O -100
were O -100
moved O -100
to O -100
another O -100
server B-ASP -100
' O -100
s O -100
section O -100
, O -100
who O -100
basically O -100
treated O -100
us O -100
like O -100
crap O -100
as O -100
well O -100
. O -100
I O -100
really O -100
can O -100
' O -100
t O -100
figure O -100
out O -100
why O -100
we O -100
stayed O -100
? O -100
Cheap O -100
beer B-ASP -100
, O -100
I O -100
guess O -100
. O -100
The O -100
food B-ASP -100
is O -100
unremarkable O -100
( O -100
good O -100
wings O -100
, O -100
though O -100
) O -100
, O -100
parking O -100
is O -100
a O -100
pain O -100
, O -100
and O -100
there O -100
are O -100
so O -100
many O -100
better O -100
places O -100
to O -100
go O -100
. O -100

If O -100
service O -100
is O -100
any O -100
indication O -100
, O -100
then O -100
I O -100
' O -100
m O -100
never O -100
going O -100
back O -100
. O -100
We O -100
were O -100
basically O -100
seated O -100
at O -100
a O -100
table O -100
by O -100
the O -100
host O -100
, O -100
then O -100
told O -100
quite O -100
rudely O -100
by O -100
the O -100
server B-ASP -100
that O -100
we O -100
couldn O -100
' O -100
t O -100
sit O -100
there O -100
. O -100
Then O -100
we O -100
proceeded O -100
to O -100
watch O -100
as O -100
the O -100
host O -100
and O -100
server O -100
fought O -100
over O -100
whether O -100
we O -100
could O -100
sit O -100
there O -100
or O -100
not O -100
( O -100
while O -100
we O -100
were O -100
trying O -100
to O -100
scurry O -100
away O -100
) O -100
. O -100
Finally O -100
we O -100
were O -100
moved O -100
to O -100
another O -100
server B-ASP Negative
' O -100
s O -100
section O -100
, O -100
who O -100
basically O -100
treated O -100
us O -100
like O -100
crap O -100
as O -100
well O -100
. O -100
I O -100
really O -100
can O -100
' O -100
t O -100
figure O -100
out O -100
why O -100
we O -100
stayed O -100
? O -100
Cheap O -100
beer B-ASP -100
, O -100
I O -100
guess O -100
. O -100
The O -100
food B-ASP -100
is O -100
unremarkable O -100
( O -100
good O -100
wings O -100
, O -100
though O -100
) O -100
, O -100
parking O -100
is O -100
a O -100
pain O -100
, O -100
and O -100
there O -100
are O -100
so O -100
many O -100
better O -100
places O -100
to O -100
go O -100
. O -100

If O -100
service O -100
is O -100
any O -100
indication O -100
, O -100
then O -100
I O -100
' O -100
m O -100
never O -100
going O -100
back O -100
. O -100
We O -100
were O -100
basically O -100
seated O -100
at O -100
a O -100
table O -100
by O -100
the O -100
host O -100
, O -100
then O -100
told O -100
quite O -100
rudely O -100
by O -100
the O -100
server B-ASP -100
that O -100
we O -100
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' O -100
t O -100
sit O -100
there O -100
. O -100
Then O -100
we O -100
proceeded O -100
to O -100
watch O -100
as O -100
the O -100
host O -100
and O -100
server O -100
fought O -100
over O -100
whether O -100
we O -100
could O -100
sit O -100
there O -100
or O -100
not O -100
( O -100
while O -100
we O -100
were O -100
trying O -100
to O -100
scurry O -100
away O -100
) O -100
. O -100
Finally O -100
we O -100
were O -100
moved O -100
to O -100
another O -100
server B-ASP -100
' O -100
s O -100
section O -100
, O -100
who O -100
basically O -100
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us O -100
like O -100
crap O -100
as O -100
well O -100
. O -100
I O -100
really O -100
can O -100
' O -100
t O -100
figure O -100
out O -100
why O -100
we O -100
stayed O -100
? O -100
Cheap O -100
beer B-ASP Neutral
, O -100
I O -100
guess O -100
. O -100
The O -100
food B-ASP -100
is O -100
unremarkable O -100
( O -100
good O -100
wings O -100
, O -100
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, O -100
parking O -100
is O -100
a O -100
pain O -100
, O -100
and O -100
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so O -100
many O -100
better O -100
places O -100
to O -100
go O -100
. O -100

If O -100
service O -100
is O -100
any O -100
indication O -100
, O -100
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I O -100
' O -100
m O -100
never O -100
going O -100
back O -100
. O -100
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seated O -100
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a O -100
table O -100
by O -100
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host O -100
, O -100
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rudely O -100
by O -100
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server B-ASP -100
that O -100
we O -100
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t O -100
sit O -100
there O -100
. O -100
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we O -100
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to O -100
watch O -100
as O -100
the O -100
host O -100
and O -100
server O -100
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over O -100
whether O -100
we O -100
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sit O -100
there O -100
or O -100
not O -100
( O -100
while O -100
we O -100
were O -100
trying O -100
to O -100
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. O -100
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moved O -100
to O -100
another O -100
server B-ASP -100
' O -100
s O -100
section O -100
, O -100
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us O -100
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. O -100
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out O -100
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we O -100
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? O -100
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, O -100
I O -100
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food B-ASP Neutral
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unremarkable O -100
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good O -100
wings O -100
, O -100
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, O -100
parking O -100
is O -100
a O -100
pain O -100
, O -100
and O -100
there O -100
are O -100
so O -100
many O -100
better O -100
places O -100
to O -100
go O -100
. O -100

That O -100
was O -100
very O -100
gratifying O -100
! O -100
Sometimes O -100
, O -100
I O -100
just O -100
crave O -100
a O -100
really O -100
good O -100
burger B-ASP Positive
and O -100
fries O -100
with O -100
a O -100
coke O -100
. O -100
PDX O -100
Sliders O -100
delivered O -100
without O -100
the O -100
guilt O -100
. O -100
Their O -100
sliders B-ASP -100
are O -100
about O -100
three O -100
inches O -100
across O -100
, O -100
small O -100
, O -100
but O -100
packs O -100
a O -100
lot O -100
of O -100
flavor O -100
and O -100
satisfying O -100
. O -100
My O -100
sister O -100
order O -100
the O -100
Morrison O -100
which O -100
was O -100
an O -100
herb O -100
marinated O -100
chicken O -100
with O -100
bacon O -100
, O -100
pesto O -100
, O -100
baby O -100
arugula O -100
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Ciabatta O -100
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with O -100
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. O -100
The O -100
Sellwood O -100
consisted O -100
of O -100
a O -100
beef O -100
, O -100
patty O -100
, O -100
bacon O -100
, O -100
aged O -100
sheddar O -100
, O -100
caramelized O -100
onions O -100
, O -100
butter O -100
lettuce O -100
, O -100
aioli O -100
and O -100
the O -100
Hawthorne O -100
had O -100
a O -100
beef O -100
patty O -100
, O -100
bacon O -100
, O -100
goat O -100
cheese O -100
, O -100
strawberry O -100
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on O -100
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Of O -100
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, O -100
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the O -100
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. O -100
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! O -100
The O -100
sweetness O -100
of O -100
the O -100
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with O -100
the O -100
tang O -100
of O -100
the O -100
goat O -100
cheese O -100
complimented O -100
the O -100
medium O -100
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beef O -100
patty O -100
well O -100
. O -100
My O -100
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' O -100
t O -100
care O -100
for O -100
the O -100
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, O -100
she O -100
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it O -100
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something O -100
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ve O -100
made O -100
at O -100
home O -100
and O -100
the O -100
Sellwood B-ASP -100
was O -100
delicious O -100
but O -100
very O -100
typical O -100
burger O -100
flavors O -100
. O -100
Love O -100
that O -100
their O -100
truffle O -100
fries B-ASP -100
are O -100
super O -100
crispy O -100
! O -100
I O -100
think O -100
there O -100
will O -100
be O -100
more O -100
Hawthorne O -100
burgers O -100
in O -100
my O -100
future O -100
. O -100
While O -100
sitting O -100
at O -100
the O -100
benches O -100
eating O -100
, O -100
I O -100
was O -100
surprise O -100
that O -100
they O -100
get O -100
a O -100
lot O -100
weird O -100
people O -100
constantly O -100
walking O -100
by O -100
for O -100
that O -100
area O -100
. O -100

That O -100
was O -100
very O -100
gratifying O -100
! O -100
Sometimes O -100
, O -100
I O -100
just O -100
crave O -100
a O -100
really O -100
good O -100
burger B-ASP -100
and O -100
fries O -100
with O -100
a O -100
coke O -100
. O -100
PDX O -100
Sliders O -100
delivered O -100
without O -100
the O -100
guilt O -100
. O -100
Their O -100
sliders B-ASP Positive
are O -100
about O -100
three O -100
inches O -100
across O -100
, O -100
small O -100
, O -100
but O -100
packs O -100
a O -100
lot O -100
of O -100
flavor O -100
and O -100
satisfying O -100
. O -100
My O -100
sister O -100
order O -100
the O -100
Morrison O -100
which O -100
was O -100
an O -100
herb O -100
marinated O -100
chicken O -100
with O -100
bacon O -100
, O -100
pesto O -100
, O -100
baby O -100
arugula O -100
, O -100
and O -100
aioli O -100
on O -100
Ciabatta O -100
. O -100
I O -100
ordered O -100
two O -100
, O -100
the O -100
Sellwood O -100
and O -100
Hawthorne O -100
one O -100
to O -100
split O -100
with O -100
her O -100
. O -100
The O -100
Sellwood O -100
consisted O -100
of O -100
a O -100
beef O -100
, O -100
patty O -100
, O -100
bacon O -100
, O -100
aged O -100
sheddar O -100
, O -100
caramelized O -100
onions O -100
, O -100
butter O -100
lettuce O -100
, O -100
aioli O -100
and O -100
the O -100
Hawthorne O -100
had O -100
a O -100
beef O -100
patty O -100
, O -100
bacon O -100
, O -100
goat O -100
cheese O -100
, O -100
strawberry O -100
preserves O -100
on O -100
Brioche O -100
. O -100
Of O -100
course O -100
, O -100
she O -100
wanted O -100
to O -100
share O -100
the O -100
Hawthorne O -100
. O -100
I O -100
took O -100
a O -100
bite O -100
of O -100
the O -100
Hawthorne O -100
first O -100
and O -100
didn O -100
' O -100
t O -100
want O -100
to O -100
give O -100
the O -100
rest O -100
to O -100
her O -100
. O -100
It O -100
was O -100
so O -100
succulent O -100
! O -100
The O -100
sweetness O -100
of O -100
the O -100
preserves O -100
with O -100
the O -100
tang O -100
of O -100
the O -100
goat O -100
cheese O -100
complimented O -100
the O -100
medium O -100
rare O -100
beef O -100
patty O -100
well O -100
. O -100
My O -100
sister O -100
didn O -100
' O -100
t O -100
care O -100
for O -100
the O -100
Morrison O -100
, O -100
she O -100
felt O -100
that O -100
it O -100
was O -100
something O -100
that O -100
she O -100
could O -100
' O -100
ve O -100
made O -100
at O -100
home O -100
and O -100
the O -100
Sellwood B-ASP -100
was O -100
delicious O -100
but O -100
very O -100
typical O -100
burger O -100
flavors O -100
. O -100
Love O -100
that O -100
their O -100
truffle O -100
fries B-ASP -100
are O -100
super O -100
crispy O -100
! O -100
I O -100
think O -100
there O -100
will O -100
be O -100
more O -100
Hawthorne O -100
burgers O -100
in O -100
my O -100
future O -100
. O -100
While O -100
sitting O -100
at O -100
the O -100
benches O -100
eating O -100
, O -100
I O -100
was O -100
surprise O -100
that O -100
they O -100
get O -100
a O -100
lot O -100
weird O -100
people O -100
constantly O -100
walking O -100
by O -100
for O -100
that O -100
area O -100
. O -100

That O -100
was O -100
very O -100
gratifying O -100
! O -100
Sometimes O -100
, O -100
I O -100
just O -100
crave O -100
a O -100
really O -100
good O -100
burger B-ASP -100
and O -100
fries O -100
with O -100
a O -100
coke O -100
. O -100
PDX O -100
Sliders O -100
delivered O -100
without O -100
the O -100
guilt O -100
. O -100
Their O -100
sliders B-ASP -100
are O -100
about O -100
three O -100
inches O -100
across O -100
, O -100
small O -100
, O -100
but O -100
packs O -100
a O -100
lot O -100
of O -100
flavor O -100
and O -100
satisfying O -100
. O -100
My O -100
sister O -100
order O -100
the O -100
Morrison O -100
which O -100
was O -100
an O -100
herb O -100
marinated O -100
chicken O -100
with O -100
bacon O -100
, O -100
pesto O -100
, O -100
baby O -100
arugula O -100
, O -100
and O -100
aioli O -100
on O -100
Ciabatta O -100
. O -100
I O -100
ordered O -100
two O -100
, O -100
the O -100
Sellwood O -100
and O -100
Hawthorne O -100
one O -100
to O -100
split O -100
with O -100
her O -100
. O -100
The O -100
Sellwood O -100
consisted O -100
of O -100
a O -100
beef O -100
, O -100
patty O -100
, O -100
bacon O -100
, O -100
aged O -100
sheddar O -100
, O -100
caramelized O -100
onions O -100
, O -100
butter O -100
lettuce O -100
, O -100
aioli O -100
and O -100
the O -100
Hawthorne O -100
had O -100
a O -100
beef O -100
patty O -100
, O -100
bacon O -100
, O -100
goat O -100
cheese O -100
, O -100
strawberry O -100
preserves O -100
on O -100
Brioche O -100
. O -100
Of O -100
course O -100
, O -100
she O -100
wanted O -100
to O -100
share O -100
the O -100
Hawthorne O -100
. O -100
I O -100
took O -100
a O -100
bite O -100
of O -100
the O -100
Hawthorne O -100
first O -100
and O -100
didn O -100
' O -100
t O -100
want O -100
to O -100
give O -100
the O -100
rest O -100
to O -100
her O -100
. O -100
It O -100
was O -100
so O -100
succulent O -100
! O -100
The O -100
sweetness O -100
of O -100
the O -100
preserves O -100
with O -100
the O -100
tang O -100
of O -100
the O -100
goat O -100
cheese O -100
complimented O -100
the O -100
medium O -100
rare O -100
beef O -100
patty O -100
well O -100
. O -100
My O -100
sister O -100
didn O -100
' O -100
t O -100
care O -100
for O -100
the O -100
Morrison O -100
, O -100
she O -100
felt O -100
that O -100
it O -100
was O -100
something O -100
that O -100
she O -100
could O -100
' O -100
ve O -100
made O -100
at O -100
home O -100
and O -100
the O -100
Sellwood B-ASP Positive
was O -100
delicious O -100
but O -100
very O -100
typical O -100
burger O -100
flavors O -100
. O -100
Love O -100
that O -100
their O -100
truffle O -100
fries B-ASP -100
are O -100
super O -100
crispy O -100
! O -100
I O -100
think O -100
there O -100
will O -100
be O -100
more O -100
Hawthorne O -100
burgers O -100
in O -100
my O -100
future O -100
. O -100
While O -100
sitting O -100
at O -100
the O -100
benches O -100
eating O -100
, O -100
I O -100
was O -100
surprise O -100
that O -100
they O -100
get O -100
a O -100
lot O -100
weird O -100
people O -100
constantly O -100
walking O -100
by O -100
for O -100
that O -100
area O -100
. O -100

That O -100
was O -100
very O -100
gratifying O -100
! O -100
Sometimes O -100
, O -100
I O -100
just O -100
crave O -100
a O -100
really O -100
good O -100
burger B-ASP -100
and O -100
fries O -100
with O -100
a O -100
coke O -100
. O -100
PDX O -100
Sliders O -100
delivered O -100
without O -100
the O -100
guilt O -100
. O -100
Their O -100
sliders B-ASP -100
are O -100
about O -100
three O -100
inches O -100
across O -100
, O -100
small O -100
, O -100
but O -100
packs O -100
a O -100
lot O -100
of O -100
flavor O -100
and O -100
satisfying O -100
. O -100
My O -100
sister O -100
order O -100
the O -100
Morrison O -100
which O -100
was O -100
an O -100
herb O -100
marinated O -100
chicken O -100
with O -100
bacon O -100
, O -100
pesto O -100
, O -100
baby O -100
arugula O -100
, O -100
and O -100
aioli O -100
on O -100
Ciabatta O -100
. O -100
I O -100
ordered O -100
two O -100
, O -100
the O -100
Sellwood O -100
and O -100
Hawthorne O -100
one O -100
to O -100
split O -100
with O -100
her O -100
. O -100
The O -100
Sellwood O -100
consisted O -100
of O -100
a O -100
beef O -100
, O -100
patty O -100
, O -100
bacon O -100
, O -100
aged O -100
sheddar O -100
, O -100
caramelized O -100
onions O -100
, O -100
butter O -100
lettuce O -100
, O -100
aioli O -100
and O -100
the O -100
Hawthorne O -100
had O -100
a O -100
beef O -100
patty O -100
, O -100
bacon O -100
, O -100
goat O -100
cheese O -100
, O -100
strawberry O -100
preserves O -100
on O -100
Brioche O -100
. O -100
Of O -100
course O -100
, O -100
she O -100
wanted O -100
to O -100
share O -100
the O -100
Hawthorne O -100
. O -100
I O -100
took O -100
a O -100
bite O -100
of O -100
the O -100
Hawthorne O -100
first O -100
and O -100
didn O -100
' O -100
t O -100
want O -100
to O -100
give O -100
the O -100
rest O -100
to O -100
her O -100
. O -100
It O -100
was O -100
so O -100
succulent O -100
! O -100
The O -100
sweetness O -100
of O -100
the O -100
preserves O -100
with O -100
the O -100
tang O -100
of O -100
the O -100
goat O -100
cheese O -100
complimented O -100
the O -100
medium O -100
rare O -100
beef O -100
patty O -100
well O -100
. O -100
My O -100
sister O -100
didn O -100
' O -100
t O -100
care O -100
for O -100
the O -100
Morrison O -100
, O -100
she O -100
felt O -100
that O -100
it O -100
was O -100
something O -100
that O -100
she O -100
could O -100
' O -100
ve O -100
made O -100
at O -100
home O -100
and O -100
the O -100
Sellwood B-ASP -100
was O -100
delicious O -100
but O -100
very O -100
typical O -100
burger O -100
flavors O -100
. O -100
Love O -100
that O -100
their O -100
truffle O -100
fries B-ASP Positive
are O -100
super O -100
crispy O -100
! O -100
I O -100
think O -100
there O -100
will O -100
be O -100
more O -100
Hawthorne O -100
burgers O -100
in O -100
my O -100
future O -100
. O -100
While O -100
sitting O -100
at O -100
the O -100
benches O -100
eating O -100
, O -100
I O -100
was O -100
surprise O -100
that O -100
they O -100
get O -100
a O -100
lot O -100
weird O -100
people O -100
constantly O -100
walking O -100
by O -100
for O -100
that O -100
area O -100
. O -100

What O -100
a O -100
gorgeous O -100
restaurant O -100
! O -100
Three O -100
very O -100
different O -100
rooms O -100
to O -100
dine O -100
from O -100
three O -100
different O -100
parts O -100
of O -100
the O -100
world O -100
. O -100
Wow O -100
I O -100
am O -100
impressed O -100
, O -100
the O -100
food B-ASP Positive
was O -100
amazing O -100
. O -100
Animal O -100
kingdom O -100
is O -100
just O -100
getting O -100
better O -100
and O -100
better O -100
by O -100
adding O -100
this O -100
gem O -100
. O -100
Avatar O -100
( O -100
pandora O -100
) O -100
is O -100
set O -100
to O -100
open O -100
in O -100
May O -100
, O -100
can O -100
' O -100
t O -100
wait O -100
! O -100

Jacks O -100
is O -100
the O -100
place O -100
to O -100
be O -100
. O -100
The O -100
food B-ASP Positive
is O -100
exceptional O -100
, O -100
I O -100
recommend O -100
the O -100
calzones O -100
! O -100
Or O -100
one O -100
of O -100
their O -100
funky O -100
pizza B-ASP -100
slice O -100
creations O -100
( O -100
hotdog O -100
pizza O -100
ect O -100
) O -100
! O -100
They O -100
have O -100
some O -100
good O -100
alcohol O -100
prices B-ASP -100
and O -100
a O -100
good O -100
atmosphere B-ASP -100
. O -100
During O -100
dinner O -100
it O -100
' O -100
s O -100
always O -100
packed O -100
though O -100
so O -100
be O -100
prepared O -100
to O -100
sit O -100
out O -100
back O -100
! O -100

Jacks O -100
is O -100
the O -100
place O -100
to O -100
be O -100
. O -100
The O -100
food B-ASP -100
is O -100
exceptional O -100
, O -100
I O -100
recommend O -100
the O -100
calzones O -100
! O -100
Or O -100
one O -100
of O -100
their O -100
funky O -100
pizza B-ASP Positive
slice O -100
creations O -100
( O -100
hotdog O -100
pizza O -100
ect O -100
) O -100
! O -100
They O -100
have O -100
some O -100
good O -100
alcohol O -100
prices B-ASP -100
and O -100
a O -100
good O -100
atmosphere B-ASP -100
. O -100
During O -100
dinner O -100
it O -100
' O -100
s O -100
always O -100
packed O -100
though O -100
so O -100
be O -100
prepared O -100
to O -100
sit O -100
out O -100
back O -100
! O -100

Jacks O -100
is O -100
the O -100
place O -100
to O -100
be O -100
. O -100
The O -100
food B-ASP -100
is O -100
exceptional O -100
, O -100
I O -100
recommend O -100
the O -100
calzones O -100
! O -100
Or O -100
one O -100
of O -100
their O -100
funky O -100
pizza B-ASP -100
slice O -100
creations O -100
( O -100
hotdog O -100
pizza O -100
ect O -100
) O -100
! O -100
They O -100
have O -100
some O -100
good O -100
alcohol O -100
prices B-ASP Positive
and O -100
a O -100
good O -100
atmosphere B-ASP -100
. O -100
During O -100
dinner O -100
it O -100
' O -100
s O -100
always O -100
packed O -100
though O -100
so O -100
be O -100
prepared O -100
to O -100
sit O -100
out O -100
back O -100
! O -100

Jacks O -100
is O -100
the O -100
place O -100
to O -100
be O -100
. O -100
The O -100
food B-ASP -100
is O -100
exceptional O -100
, O -100
I O -100
recommend O -100
the O -100
calzones O -100
! O -100
Or O -100
one O -100
of O -100
their O -100
funky O -100
pizza B-ASP -100
slice O -100
creations O -100
( O -100
hotdog O -100
pizza O -100
ect O -100
) O -100
! O -100
They O -100
have O -100
some O -100
good O -100
alcohol O -100
prices B-ASP -100
and O -100
a O -100
good O -100
atmosphere B-ASP Positive
. O -100
During O -100
dinner O -100
it O -100
' O -100
s O -100
always O -100
packed O -100
though O -100
so O -100
be O -100
prepared O -100
to O -100
sit O -100
out O -100
back O -100
! O -100

By O -100
no O -100
means O -100
is O -100
me O -100
giving O -100
Habaneros O -100
3 O -100
stars O -100
a O -100
bad O -100
thing O -100
. O -100
This O -100
is O -100
my O -100
go O -100
to O -100
spot O -100
for O -100
Mexican O -100
food O -100
when O -100
my O -100
family O -100
comes O -100
to O -100
visit O -100
me O -100
from O -100
NY O -100
. O -100
It O -100
' O -100
s O -100
cheap O -100
, O -100
it O -100
' O -100
s O -100
quick O -100
and O -100
it O -100
' O -100
s O -100
surprisingly O -100
good O -100
. O -100
The O -100
establishment O -100
offers O -100
a O -100
wide O -100
selection O -100
of O -100
Mexican O -100
dinners O -100
and O -100
combination O -100
specials O -100
, O -100
common O -100
in O -100
other O -100
traditional O -100
Mexican O -100
restaurants O -100
. O -100
If O -100
you O -100
' O -100
re O -100
a O -100
fan O -100
of O -100
Mexican O -100
food O -100
, O -100
especially O -100
if O -100
you O -100
' O -100
re O -100
from O -100
out O -100
of O -100
town O -100
just O -100
go O -100
here O -100
and O -100
eat O -100
. O -100
Parking O -100
isn O -100
' O -100
t O -100
bad O -100
, O -100
your O -100
seated O -100
immediately O -100
and O -100
there O -100
is O -100
always O -100
a O -100
table O -100
available O -100
. O -100
Unfortunately O -100
there O -100
can O -100
sometimes O -100
be O -100
minor O -100
communication O -100
errors O -100
with O -100
your O -100
waitresses O -100
and O -100
the O -100
staff B-ASP Negative
so O -100
make O -100
sure O -100
to O -100
be O -100
very O -100
clear O -100
with O -100
what O -100
you O -100
want O -100
when O -100
placing O -100
your O -100
Oder B-ASP -100
. O -100
The O -100
food B-ASP -100
is O -100
good O -100
, O -100
nothing O -100
amazing O -100
but O -100
it O -100
definitely O -100
hits O -100
the O -100
spot O -100
. O -100

By O -100
no O -100
means O -100
is O -100
me O -100
giving O -100
Habaneros O -100
3 O -100
stars O -100
a O -100
bad O -100
thing O -100
. O -100
This O -100
is O -100
my O -100
go O -100
to O -100
spot O -100
for O -100
Mexican O -100
food O -100
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my O -100
family O -100
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visit O -100
me O -100
from O -100
NY O -100
. O -100
It O -100
' O -100
s O -100
cheap O -100
, O -100
it O -100
' O -100
s O -100
quick O -100
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it O -100
' O -100
s O -100
surprisingly O -100
good O -100
. O -100
The O -100
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a O -100
wide O -100
selection O -100
of O -100
Mexican O -100
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, O -100
common O -100
in O -100
other O -100
traditional O -100
Mexican O -100
restaurants O -100
. O -100
If O -100
you O -100
' O -100
re O -100
a O -100
fan O -100
of O -100
Mexican O -100
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, O -100
especially O -100
if O -100
you O -100
' O -100
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from O -100
out O -100
of O -100
town O -100
just O -100
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here O -100
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. O -100
Parking O -100
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' O -100
t O -100
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, O -100
your O -100
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immediately O -100
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a O -100
table O -100
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. O -100
Unfortunately O -100
there O -100
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sometimes O -100
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minor O -100
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errors O -100
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your O -100
waitresses O -100
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the O -100
staff B-ASP -100
so O -100
make O -100
sure O -100
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very O -100
clear O -100
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what O -100
you O -100
want O -100
when O -100
placing O -100
your O -100
Oder B-ASP Negative
. O -100
The O -100
food B-ASP -100
is O -100
good O -100
, O -100
nothing O -100
amazing O -100
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the O -100
spot O -100
. O -100

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3 O -100
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This O -100
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NY O -100
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' O -100
s O -100
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' O -100
s O -100
quick O -100
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it O -100
' O -100
s O -100
surprisingly O -100
good O -100
. O -100
The O -100
establishment O -100
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a O -100
wide O -100
selection O -100
of O -100
Mexican O -100
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, O -100
common O -100
in O -100
other O -100
traditional O -100
Mexican O -100
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. O -100
If O -100
you O -100
' O -100
re O -100
a O -100
fan O -100
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Mexican O -100
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, O -100
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' O -100
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' O -100
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Unfortunately O -100
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your O -100
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clear O -100
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you O -100
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placing O -100
your O -100
Oder B-ASP -100
. O -100
The O -100
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good O -100
, O -100
nothing O -100
amazing O -100
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it O -100
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hits O -100
the O -100
spot O -100
. O -100

This O -100
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! O -100
I O -100
' O -100
ve O -100
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Ethiopian O -100
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DC O -100
( O -100
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I O -100
' O -100
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) O -100
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. O -100
The O -100
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I O -100
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a O -100
Wednesday O -100
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We O -100
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syrupy O -100
. O -100
It O -100
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me O -100
of O -100
mead O -100
. O -100
Then O -100
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They O -100
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' O -100
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the O -100
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here O -100
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My O -100
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! O -100
I O -100
' O -100
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it O -100
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the O -100
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better O -100
: O -100
) O -100

This O -100
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delicious O -100
! O -100
I O -100
' O -100
ve O -100
had O -100
Ethiopian O -100
in O -100
DC O -100
( O -100
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the O -100
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I O -100
' O -100
ve O -100
tried O -100
) O -100
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this O -100
place O -100
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a O -100
close O -100
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up O -100
. O -100
The O -100
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I O -100
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a O -100
Wednesday O -100
night O -100
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We O -100
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sweet O -100
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syrupy O -100
. O -100
It O -100
reminded O -100
me O -100
of O -100
mead O -100
. O -100
Then O -100
we O -100
got O -100
the O -100
meat O -100
combo B-ASP Positive
and O -100
everything O -100
was O -100
tender O -100
, O -100
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. O -100
They O -100
certainly O -100
don O -100
' O -100
t O -100
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on O -100
the O -100
injera O -100
here O -100
. O -100
My O -100
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in O -100
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! O -100
I O -100
' O -100
ve O -100
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that O -100
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it O -100
made O -100
the O -100
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that O -100
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better O -100
: O -100
) O -100

This O -100
Chicken O -100
Express O -100
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doing O -100
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right O -100
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now O -100
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I O -100
' O -100
ve O -100
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had O -100
a O -100
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what O -100
I O -100
can O -100
see O -100
. O -100
I O -100
love O -100
their O -100
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chicken I-ASP -100
liver O -100
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the O -100
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make O -100
each O -100
batch O -100
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happy O -100
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my O -100
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over O -100
the O -100
phone O -100
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I O -100
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so O -100
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I O -100
don O -100
' O -100
t O -100
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wait O -100
at O -100
the O -100
restaurant O -100
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the O -100
6 O -100
minutes O -100
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that O -100
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. O -100
I O -100
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I O -100
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Even O -100
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' O -100
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just O -100
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6 O -100
chicken O -100
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, O -100
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I O -100
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. O -100
Now O -100
THAT O -100
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exceptional O -100
customer O -100
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. O -100
Thanks O -100
Chicken O -100
E O -100
! O -100

This O -100
Chicken O -100
Express O -100
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doing O -100
it O -100
right O -100
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years O -100
now O -100
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I O -100
' O -100
ve O -100
never O -100
had O -100
a O -100
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, O -100
the O -100
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top O -100
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the O -100
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, O -100
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what O -100
I O -100
can O -100
see O -100
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I O -100
love O -100
their O -100
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chicken I-ASP -100
liver O -100
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the O -100
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each O -100
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my O -100
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over O -100
the O -100
phone O -100
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I O -100
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so O -100
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I O -100
don O -100
' O -100
t O -100
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wait O -100
at O -100
the O -100
restaurant O -100
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the O -100
6 O -100
minutes O -100
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so O -100
that O -100
it O -100
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to O -100
cook O -100
. O -100
I O -100
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just O -100
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the O -100
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I O -100
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taken O -100
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this O -100
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several O -100
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. O -100
Even O -100
if O -100
it O -100
' O -100
s O -100
just O -100
one O -100
order O -100
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6 O -100
chicken O -100
livers O -100
, O -100
they O -100
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cook O -100
them O -100
up O -100
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they O -100
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ready O -100
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I O -100
arrive O -100
. O -100
Now O -100
THAT O -100
is O -100
exceptional O -100
customer O -100
service B-ASP -100
. O -100
Thanks O -100
Chicken O -100
E O -100
! O -100

This O -100
Chicken O -100
Express O -100
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doing O -100
it O -100
right O -100
for O -100
years O -100
now O -100
. O -100
I O -100
' O -100
ve O -100
never O -100
had O -100
a O -100
problem O -100
, O -100
the O -100
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what O -100
I O -100
can O -100
see O -100
. O -100
I O -100
love O -100
their O -100
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chicken I-ASP Positive
liver O -100
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the O -100
manager O -100
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me O -100
that O -100
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they O -100
make O -100
each O -100
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my O -100
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the O -100
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I O -100
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ahead O -100
so O -100
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I O -100
don O -100
' O -100
t O -100
have O -100
to O -100
wait O -100
at O -100
the O -100
restaurant O -100
for O -100
the O -100
6 O -100
minutes O -100
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so O -100
that O -100
it O -100
takes O -100
to O -100
cook O -100
. O -100
I O -100
live O -100
just O -100
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the O -100
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I O -100
have O -100
taken O -100
them O -100
up O -100
on O -100
this O -100
offer O -100
several O -100
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. O -100
Even O -100
if O -100
it O -100
' O -100
s O -100
just O -100
one O -100
order O -100
of O -100
6 O -100
chicken O -100
livers O -100
, O -100
they O -100
are O -100
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cook O -100
them O -100
up O -100
fresh O -100
so O -100
they O -100
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ready O -100
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I O -100
arrive O -100
. O -100
Now O -100
THAT O -100
is O -100
exceptional O -100
customer O -100
service B-ASP -100
. O -100
Thanks O -100
Chicken O -100
E O -100
! O -100

This O -100
Chicken O -100
Express O -100
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doing O -100
it O -100
right O -100
for O -100
years O -100
now O -100
. O -100
I O -100
' O -100
ve O -100
never O -100
had O -100
a O -100
problem O -100
, O -100
the O -100
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always O -100
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the O -100
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squeaky O -100
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, O -100
exterior O -100
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the O -100
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much O -100
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food O -100
place O -100
from O -100
what O -100
I O -100
can O -100
see O -100
. O -100
I O -100
love O -100
their O -100
fried B-ASP -100
chicken I-ASP -100
liver O -100
and O -100
the O -100
manager O -100
told O -100
me O -100
that O -100
because O -100
they O -100
make O -100
each O -100
batch O -100
fresh O -100
that O -100
they O -100
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happy O -100
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take O -100
my O -100
order B-ASP Positive
over O -100
the O -100
phone O -100
if O -100
I O -100
call O -100
ahead O -100
so O -100
that O -100
I O -100
don O -100
' O -100
t O -100
have O -100
to O -100
wait O -100
at O -100
the O -100
restaurant O -100
for O -100
the O -100
6 O -100
minutes O -100
or O -100
so O -100
that O -100
it O -100
takes O -100
to O -100
cook O -100
. O -100
I O -100
live O -100
just O -100
down O -100
the O -100
street O -100
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I O -100
have O -100
taken O -100
them O -100
up O -100
on O -100
this O -100
offer O -100
several O -100
times O -100
. O -100
Even O -100
if O -100
it O -100
' O -100
s O -100
just O -100
one O -100
order O -100
of O -100
6 O -100
chicken O -100
livers O -100
, O -100
they O -100
are O -100
happy O -100
to O -100
cook O -100
them O -100
up O -100
fresh O -100
so O -100
they O -100
are O -100
ready O -100
when O -100
I O -100
arrive O -100
. O -100
Now O -100
THAT O -100
is O -100
exceptional O -100
customer O -100
service B-ASP -100
. O -100
Thanks O -100
Chicken O -100
E O -100
! O -100

This O -100
Chicken O -100
Express O -100
has O -100
been O -100
doing O -100
it O -100
right O -100
for O -100
years O -100
now O -100
. O -100
I O -100
' O -100
ve O -100
never O -100
had O -100
a O -100
problem O -100
, O -100
the O -100
service B-ASP -100
is O -100
always O -100
top O -100
notch O -100
, O -100
and O -100
the O -100
place B-ASP -100
is O -100
always O -100
squeaky O -100
clean O -100
dining O -100
area O -100
, O -100
exterior O -100
, O -100
bathrooms O -100
, O -100
even O -100
the O -100
kitchen O -100
appears O -100
much O -100
cleaner O -100
than O -100
other O -100
fast O -100
food O -100
place O -100
from O -100
what O -100
I O -100
can O -100
see O -100
. O -100
I O -100
love O -100
their O -100
fried B-ASP -100
chicken I-ASP -100
liver O -100
and O -100
the O -100
manager O -100
told O -100
me O -100
that O -100
because O -100
they O -100
make O -100
each O -100
batch O -100
fresh O -100
that O -100
they O -100
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happy O -100
to O -100
take O -100
my O -100
order B-ASP -100
over O -100
the O -100
phone O -100
if O -100
I O -100
call O -100
ahead O -100
so O -100
that O -100
I O -100
don O -100
' O -100
t O -100
have O -100
to O -100
wait O -100
at O -100
the O -100
restaurant O -100
for O -100
the O -100
6 O -100
minutes O -100
or O -100
so O -100
that O -100
it O -100
takes O -100
to O -100
cook O -100
. O -100
I O -100
live O -100
just O -100
down O -100
the O -100
street O -100
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I O -100
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taken O -100
them O -100
up O -100
on O -100
this O -100
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several O -100
times O -100
. O -100
Even O -100
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it O -100
' O -100
s O -100
just O -100
one O -100
order O -100
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6 O -100
chicken O -100
livers O -100
, O -100
they O -100
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happy O -100
to O -100
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them O -100
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fresh O -100
so O -100
they O -100
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ready O -100
when O -100
I O -100
arrive O -100
. O -100
Now O -100
THAT O -100
is O -100
exceptional O -100
customer O -100
service B-ASP Positive
. O -100
Thanks O -100
Chicken O -100
E O -100
! O -100

Something O -100
about O -100
this O -100
place O -100
made O -100
me O -100
feel O -100
like O -100
a O -100
smart O -100
, O -100
cool O -100
, O -100
hip O -100
, O -100
30 O -100
something O -100
as O -100
soon O -100
as O -100
I O -100
walked O -100
in O -100
the O -100
door O -100
. O -100
The O -100
ambiance O -100
is O -100
dark O -100
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inviting O -100
at O -100
the O -100
same O -100
time O -100
. O -100
The O -100
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large O -100
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seat O -100
multiple O -100
parties O -100
together O -100
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each O -100
table O -100
, O -100
so O -100
it O -100
feels O -100
like O -100
you O -100
' O -100
re O -100
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a O -100
party O -100
a O -100
party O -100
for O -100
awesome O -100
people O -100
. O -100
The O -100
menu O -100
is O -100
small O -100
, O -100
which O -100
is O -100
nice O -100
for O -100
the O -100
indecisive O -100
. O -100
We O -100
got O -100
a O -100
few O -100
things O -100
to O -100
share O -100
, O -100
starting O -100
with O -100
the O -100
cottage O -100
fries O -100
, O -100
which O -100
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sliced O -100
potato O -100
chips O -100
. O -100
We O -100
got O -100
the O -100
beet O -100
salad B-ASP Neutral
which O -100
wasn O -100
' O -100
t O -100
bad O -100
, O -100
but O -100
wasn O -100
' O -100
t O -100
my O -100
favorite O -100
. O -100
They O -100
did O -100
marinate O -100
the O -100
beets O -100
in O -100
strawberry O -100
juice O -100
, O -100
which O -100
I O -100
' O -100
ve O -100
never O -100
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done O -100
before O -100
. O -100
For O -100
the O -100
entr O -100
é O -100
e O -100
, O -100
we O -100
got O -100
the O -100
shrimp B-ASP -100
and I-ASP -100
grits O -100
, O -100
and O -100
it O -100
was O -100
incredible O -100
. O -100
The O -100
grits O -100
were O -100
creamy O -100
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dreamy O -100
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their O -100
own O -100
, O -100
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with O -100
the O -100
other O -100
ingredients O -100
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a O -100
poached O -100
egg O -100
, O -100
I O -100
could O -100
not O -100
stop O -100
eating O -100
even O -100
if O -100
I O -100
tried O -100
. O -100
We O -100
also O -100
shared O -100
the O -100
chicken O -100
sausage B-ASP -100
, O -100
which O -100
was O -100
surprisingly O -100
very O -100
flavorful O -100
for O -100
what O -100
I O -100
was O -100
expecting O -100
. O -100
Do O -100
not O -100
get O -100
the O -100
bok O -100
choy O -100
as O -100
your O -100
vegetable O -100
side O -100
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it O -100
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cooked O -100
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I O -100
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appreciate O -100
the O -100
flavors O -100
of O -100
garlic O -100
and O -100
lemon O -100
. O -100
Definitely O -100
a O -100
cool O -100
place B-ASP -100
to O -100
eat O -100
and O -100
greet O -100
, O -100
I O -100
can O -100
' O -100
t O -100
wait O -100
to O -100
come O -100
back O -100
to O -100
try O -100
more O -100
things O -100
on O -100
the O -100
menu O -100
. O -100

Something O -100
about O -100
this O -100
place O -100
made O -100
me O -100
feel O -100
like O -100
a O -100
smart O -100
, O -100
cool O -100
, O -100
hip O -100
, O -100
30 O -100
something O -100
as O -100
soon O -100
as O -100
I O -100
walked O -100
in O -100
the O -100
door O -100
. O -100
The O -100
ambiance O -100
is O -100
dark O -100
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inviting O -100
at O -100
the O -100
same O -100
time O -100
. O -100
The O -100
tables O -100
are O -100
large O -100
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seat O -100
multiple O -100
parties O -100
together O -100
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each O -100
table O -100
, O -100
so O -100
it O -100
feels O -100
like O -100
you O -100
' O -100
re O -100
at O -100
a O -100
party O -100
a O -100
party O -100
for O -100
awesome O -100
people O -100
. O -100
The O -100
menu O -100
is O -100
small O -100
, O -100
which O -100
is O -100
nice O -100
for O -100
the O -100
indecisive O -100
. O -100
We O -100
got O -100
a O -100
few O -100
things O -100
to O -100
share O -100
, O -100
starting O -100
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the O -100
cottage O -100
fries O -100
, O -100
which O -100
are O -100
basically O -100
thickly O -100
sliced O -100
potato O -100
chips O -100
. O -100
We O -100
got O -100
the O -100
beet O -100
salad B-ASP -100
which O -100
wasn O -100
' O -100
t O -100
bad O -100
, O -100
but O -100
wasn O -100
' O -100
t O -100
my O -100
favorite O -100
. O -100
They O -100
did O -100
marinate O -100
the O -100
beets O -100
in O -100
strawberry O -100
juice O -100
, O -100
which O -100
I O -100
' O -100
ve O -100
never O -100
seen O -100
done O -100
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. O -100
For O -100
the O -100
entr O -100
é O -100
e O -100
, O -100
we O -100
got O -100
the O -100
shrimp B-ASP Positive
and I-ASP Positive
grits O -100
, O -100
and O -100
it O -100
was O -100
incredible O -100
. O -100
The O -100
grits O -100
were O -100
creamy O -100
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dreamy O -100
on O -100
their O -100
own O -100
, O -100
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with O -100
the O -100
other O -100
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a O -100
poached O -100
egg O -100
, O -100
I O -100
could O -100
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stop O -100
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even O -100
if O -100
I O -100
tried O -100
. O -100
We O -100
also O -100
shared O -100
the O -100
chicken O -100
sausage B-ASP -100
, O -100
which O -100
was O -100
surprisingly O -100
very O -100
flavorful O -100
for O -100
what O -100
I O -100
was O -100
expecting O -100
. O -100
Do O -100
not O -100
get O -100
the O -100
bok O -100
choy O -100
as O -100
your O -100
vegetable O -100
side O -100
however O -100
it O -100
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cooked O -100
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I O -100
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appreciate O -100
the O -100
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of O -100
garlic O -100
and O -100
lemon O -100
. O -100
Definitely O -100
a O -100
cool O -100
place B-ASP -100
to O -100
eat O -100
and O -100
greet O -100
, O -100
I O -100
can O -100
' O -100
t O -100
wait O -100
to O -100
come O -100
back O -100
to O -100
try O -100
more O -100
things O -100
on O -100
the O -100
menu O -100
. O -100

Something O -100
about O -100
this O -100
place O -100
made O -100
me O -100
feel O -100
like O -100
a O -100
smart O -100
, O -100
cool O -100
, O -100
hip O -100
, O -100
30 O -100
something O -100
as O -100
soon O -100
as O -100
I O -100
walked O -100
in O -100
the O -100
door O -100
. O -100
The O -100
ambiance O -100
is O -100
dark O -100
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inviting O -100
at O -100
the O -100
same O -100
time O -100
. O -100
The O -100
tables O -100
are O -100
large O -100
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seat O -100
multiple O -100
parties O -100
together O -100
at O -100
each O -100
table O -100
, O -100
so O -100
it O -100
feels O -100
like O -100
you O -100
' O -100
re O -100
at O -100
a O -100
party O -100
a O -100
party O -100
for O -100
awesome O -100
people O -100
. O -100
The O -100
menu O -100
is O -100
small O -100
, O -100
which O -100
is O -100
nice O -100
for O -100
the O -100
indecisive O -100
. O -100
We O -100
got O -100
a O -100
few O -100
things O -100
to O -100
share O -100
, O -100
starting O -100
with O -100
the O -100
cottage O -100
fries O -100
, O -100
which O -100
are O -100
basically O -100
thickly O -100
sliced O -100
potato O -100
chips O -100
. O -100
We O -100
got O -100
the O -100
beet O -100
salad B-ASP -100
which O -100
wasn O -100
' O -100
t O -100
bad O -100
, O -100
but O -100
wasn O -100
' O -100
t O -100
my O -100
favorite O -100
. O -100
They O -100
did O -100
marinate O -100
the O -100
beets O -100
in O -100
strawberry O -100
juice O -100
, O -100
which O -100
I O -100
' O -100
ve O -100
never O -100
seen O -100
done O -100
before O -100
. O -100
For O -100
the O -100
entr O -100
é O -100
e O -100
, O -100
we O -100
got O -100
the O -100
shrimp B-ASP -100
and I-ASP -100
grits O -100
, O -100
and O -100
it O -100
was O -100
incredible O -100
. O -100
The O -100
grits O -100
were O -100
creamy O -100
and O -100
dreamy O -100
on O -100
their O -100
own O -100
, O -100
but O -100
with O -100
the O -100
other O -100
ingredients O -100
including O -100
a O -100
poached O -100
egg O -100
, O -100
I O -100
could O -100
not O -100
stop O -100
eating O -100
even O -100
if O -100
I O -100
tried O -100
. O -100
We O -100
also O -100
shared O -100
the O -100
chicken O -100
sausage B-ASP Positive
, O -100
which O -100
was O -100
surprisingly O -100
very O -100
flavorful O -100
for O -100
what O -100
I O -100
was O -100
expecting O -100
. O -100
Do O -100
not O -100
get O -100
the O -100
bok O -100
choy O -100
as O -100
your O -100
vegetable O -100
side O -100
however O -100
it O -100
was O -100
not O -100
cooked O -100
very O -100
well O -100
and O -100
I O -100
could O -100
not O -100
appreciate O -100
the O -100
flavors O -100
of O -100
garlic O -100
and O -100
lemon O -100
. O -100
Definitely O -100
a O -100
cool O -100
place B-ASP -100
to O -100
eat O -100
and O -100
greet O -100
, O -100
I O -100
can O -100
' O -100
t O -100
wait O -100
to O -100
come O -100
back O -100
to O -100
try O -100
more O -100
things O -100
on O -100
the O -100
menu O -100
. O -100

Something O -100
about O -100
this O -100
place O -100
made O -100
me O -100
feel O -100
like O -100
a O -100
smart O -100
, O -100
cool O -100
, O -100
hip O -100
, O -100
30 O -100
something O -100
as O -100
soon O -100
as O -100
I O -100
walked O -100
in O -100
the O -100
door O -100
. O -100
The O -100
ambiance O -100
is O -100
dark O -100
and O -100
inviting O -100
at O -100
the O -100
same O -100
time O -100
. O -100
The O -100
tables O -100
are O -100
large O -100
and O -100
seat O -100
multiple O -100
parties O -100
together O -100
at O -100
each O -100
table O -100
, O -100
so O -100
it O -100
feels O -100
like O -100
you O -100
' O -100
re O -100
at O -100
a O -100
party O -100
a O -100
party O -100
for O -100
awesome O -100
people O -100
. O -100
The O -100
menu O -100
is O -100
small O -100
, O -100
which O -100
is O -100
nice O -100
for O -100
the O -100
indecisive O -100
. O -100
We O -100
got O -100
a O -100
few O -100
things O -100
to O -100
share O -100
, O -100
starting O -100
with O -100
the O -100
cottage O -100
fries O -100
, O -100
which O -100
are O -100
basically O -100
thickly O -100
sliced O -100
potato O -100
chips O -100
. O -100
We O -100
got O -100
the O -100
beet O -100
salad B-ASP -100
which O -100
wasn O -100
' O -100
t O -100
bad O -100
, O -100
but O -100
wasn O -100
' O -100
t O -100
my O -100
favorite O -100
. O -100
They O -100
did O -100
marinate O -100
the O -100
beets O -100
in O -100
strawberry O -100
juice O -100
, O -100
which O -100
I O -100
' O -100
ve O -100
never O -100
seen O -100
done O -100
before O -100
. O -100
For O -100
the O -100
entr O -100
é O -100
e O -100
, O -100
we O -100
got O -100
the O -100
shrimp B-ASP -100
and I-ASP -100
grits O -100
, O -100
and O -100
it O -100
was O -100
incredible O -100
. O -100
The O -100
grits O -100
were O -100
creamy O -100
and O -100
dreamy O -100
on O -100
their O -100
own O -100
, O -100
but O -100
with O -100
the O -100
other O -100
ingredients O -100
including O -100
a O -100
poached O -100
egg O -100
, O -100
I O -100
could O -100
not O -100
stop O -100
eating O -100
even O -100
if O -100
I O -100
tried O -100
. O -100
We O -100
also O -100
shared O -100
the O -100
chicken O -100
sausage B-ASP -100
, O -100
which O -100
was O -100
surprisingly O -100
very O -100
flavorful O -100
for O -100
what O -100
I O -100
was O -100
expecting O -100
. O -100
Do O -100
not O -100
get O -100
the O -100
bok O -100
choy O -100
as O -100
your O -100
vegetable O -100
side O -100
however O -100
it O -100
was O -100
not O -100
cooked O -100
very O -100
well O -100
and O -100
I O -100
could O -100
not O -100
appreciate O -100
the O -100
flavors O -100
of O -100
garlic O -100
and O -100
lemon O -100
. O -100
Definitely O -100
a O -100
cool O -100
place B-ASP Positive
to O -100
eat O -100
and O -100
greet O -100
, O -100
I O -100
can O -100
' O -100
t O -100
wait O -100
to O -100
come O -100
back O -100
to O -100
try O -100
more O -100
things O -100
on O -100
the O -100
menu O -100
. O -100

Nice O -100
staff B-ASP Positive
. O -100
Subpar O -100
food B-ASP -100
for O -100
the O -100
price B-ASP -100
. O -100

Nice O -100
staff B-ASP -100
. O -100
Subpar O -100
food B-ASP Positive
for O -100
the O -100
price B-ASP -100
. O -100

Nice O -100
staff B-ASP -100
. O -100
Subpar O -100
food B-ASP -100
for O -100
the O -100
price B-ASP Positive
. O -100

Unbelievably O -100
rude O -100
hostess B-ASP Negative
No O -100
respect O -100
to O -100
customers O -100
. O -100
Server O -100
, O -100
Dani O -100
was O -100
the O -100
only O -100
reason O -100
for O -100
us O -100
to O -100
stay O -100
. O -100
. O -100
. O -100
The O -100
level O -100
of O -100
unprofessionalism O -100
and O -100
unpleasant O -100
look O -100
that O -100
the O -100
two O -100
hostesses O -100
gave O -100
are O -100
just O -100
horrible O -100
. O -100
I O -100
have O -100
never O -100
experienced O -100
this O -100
low O -100
level O -100
of O -100
customer O -100
service B-ASP -100
. O -100
. O -100
. O -100

Unbelievably O -100
rude O -100
hostess B-ASP -100
No O -100
respect O -100
to O -100
customers O -100
. O -100
Server O -100
, O -100
Dani O -100
was O -100
the O -100
only O -100
reason O -100
for O -100
us O -100
to O -100
stay O -100
. O -100
. O -100
. O -100
The O -100
level O -100
of O -100
unprofessionalism O -100
and O -100
unpleasant O -100
look O -100
that O -100
the O -100
two O -100
hostesses O -100
gave O -100
are O -100
just O -100
horrible O -100
. O -100
I O -100
have O -100
never O -100
experienced O -100
this O -100
low O -100
level O -100
of O -100
customer O -100
service B-ASP Negative
. O -100
. O -100
. O -100

I O -100
was O -100
in O -100
Austin O -100
recently O -100
and O -100
searched O -100
for O -100
a O -100
place O -100
to O -100
eat O -100
on O -100
this O -100
fine O -100
website O -100
called O -100
Yelp O -100
. O -100
We O -100
were O -100
looking O -100
for O -100
hard O -100
tacos O -100
and O -100
came O -100
upon O -100
Evita O -100
' O -100
s O -100
Botanitas O -100
and O -100
the O -100
menu O -100
looked O -100
pretty O -100
great O -100
. O -100
So O -100
we O -100
GPS O -100
' O -100
d O -100
ourselves O -100
there O -100
and O -100
found O -100
ourselves O -100
in O -100
a O -100
small O -100
strip O -100
mall O -100
, O -100
nothing O -100
fancy O -100
. O -100
And O -100
the O -100
food B-ASP Positive
did O -100
not O -100
disappoint O -100
! O -100
! O -100
First O -100
of O -100
all O -100
, O -100
the O -100
salsa B-ASP -100
they O -100
give O -100
you O -100
is O -100
above O -100
and O -100
beyond O -100
. O -100
They O -100
bring O -100
a O -100
two O -100
tiered O -100
production O -100
with O -100
a O -100
basket O -100
of O -100
fresh O -100
tortilla O -100
chips O -100
and O -100
5 O -100
or O -100
6 O -100
different O -100
salsas B-ASP -100
, O -100
all O -100
of O -100
which O -100
were O -100
delicious O -100
and O -100
not O -100
at O -100
all O -100
' O -100
omg O -100
my O -100
mouth O -100
, O -100
it O -100
' O -100
s O -100
on O -100
fire O -100
' O -100
I O -100
ordered O -100
a O -100
house O -100
margarita B-ASP -100
( O -100
rocks O -100
with O -100
salt O -100
please O -100
! O -100
) O -100
which O -100
was O -100
ass O -100
kicking O -100
in O -100
a O -100
good O -100
way O -100
. O -100
For O -100
my O -100
dinner O -100
I O -100
ordered O -100
the O -100
vegetarian O -100
quesadillas O -100
, O -100
which O -100
I O -100
admit O -100
were O -100
served O -100
to O -100
me O -100
in O -100
a O -100
unfamilliar O -100
way O -100
. O -100
Maybe O -100
I O -100
was O -100
just O -100
Dumb O -100
White O -100
Girl O -100
but O -100
when O -100
they O -100
brought O -100
my O -100
food O -100
I O -100
thought O -100
they O -100
brought O -100
soft O -100
tacos O -100
instead O -100
of O -100
a O -100
quesadilla O -100
. O -100
Granted O -100
, O -100
I O -100
' O -100
d O -100
ordered O -100
the O -100
corn O -100
tortillas O -100
rather O -100
than O -100
flour O -100
, O -100
and O -100
it O -100
looked O -100
like O -100
a O -100
plate O -100
with O -100
several O -100
soft O -100
tacos O -100
. O -100
And O -100
oh O -100
man O -100
, O -100
were O -100
those O -100
some O -100
seriously O -100
delicious O -100
quesadillas O -100
! O -100
I O -100
don O -100
' O -100
t O -100
care O -100
what O -100
they O -100
looked O -100
like O -100
, O -100
they O -100
tasted O -100
like O -100
heaven O -100
. O -100
Our O -100
waitress B-ASP -100
was O -100
really O -100
friendly O -100
and O -100
I O -100
would O -100
highly O -100
recommend O -100
eating O -100
here O -100
. O -100
I O -100
will O -100
make O -100
it O -100
a O -100
point O -100
to O -100
come O -100
back O -100
the O -100
next O -100
time O -100
I O -100
' O -100
m O -100
in O -100
town O -100
. O -100

I O -100
was O -100
in O -100
Austin O -100
recently O -100
and O -100
searched O -100
for O -100
a O -100
place O -100
to O -100
eat O -100
on O -100
this O -100
fine O -100
website O -100
called O -100
Yelp O -100
. O -100
We O -100
were O -100
looking O -100
for O -100
hard O -100
tacos O -100
and O -100
came O -100
upon O -100
Evita O -100
' O -100
s O -100
Botanitas O -100
and O -100
the O -100
menu O -100
looked O -100
pretty O -100
great O -100
. O -100
So O -100
we O -100
GPS O -100
' O -100
d O -100
ourselves O -100
there O -100
and O -100
found O -100
ourselves O -100
in O -100
a O -100
small O -100
strip O -100
mall O -100
, O -100
nothing O -100
fancy O -100
. O -100
And O -100
the O -100
food B-ASP -100
did O -100
not O -100
disappoint O -100
! O -100
! O -100
First O -100
of O -100
all O -100
, O -100
the O -100
salsa B-ASP Positive
they O -100
give O -100
you O -100
is O -100
above O -100
and O -100
beyond O -100
. O -100
They O -100
bring O -100
a O -100
two O -100
tiered O -100
production O -100
with O -100
a O -100
basket O -100
of O -100
fresh O -100
tortilla O -100
chips O -100
and O -100
5 O -100
or O -100
6 O -100
different O -100
salsas B-ASP -100
, O -100
all O -100
of O -100
which O -100
were O -100
delicious O -100
and O -100
not O -100
at O -100
all O -100
' O -100
omg O -100
my O -100
mouth O -100
, O -100
it O -100
' O -100
s O -100
on O -100
fire O -100
' O -100
I O -100
ordered O -100
a O -100
house O -100
margarita B-ASP -100
( O -100
rocks O -100
with O -100
salt O -100
please O -100
! O -100
) O -100
which O -100
was O -100
ass O -100
kicking O -100
in O -100
a O -100
good O -100
way O -100
. O -100
For O -100
my O -100
dinner O -100
I O -100
ordered O -100
the O -100
vegetarian O -100
quesadillas O -100
, O -100
which O -100
I O -100
admit O -100
were O -100
served O -100
to O -100
me O -100
in O -100
a O -100
unfamilliar O -100
way O -100
. O -100
Maybe O -100
I O -100
was O -100
just O -100
Dumb O -100
White O -100
Girl O -100
but O -100
when O -100
they O -100
brought O -100
my O -100
food O -100
I O -100
thought O -100
they O -100
brought O -100
soft O -100
tacos O -100
instead O -100
of O -100
a O -100
quesadilla O -100
. O -100
Granted O -100
, O -100
I O -100
' O -100
d O -100
ordered O -100
the O -100
corn O -100
tortillas O -100
rather O -100
than O -100
flour O -100
, O -100
and O -100
it O -100
looked O -100
like O -100
a O -100
plate O -100
with O -100
several O -100
soft O -100
tacos O -100
. O -100
And O -100
oh O -100
man O -100
, O -100
were O -100
those O -100
some O -100
seriously O -100
delicious O -100
quesadillas O -100
! O -100
I O -100
don O -100
' O -100
t O -100
care O -100
what O -100
they O -100
looked O -100
like O -100
, O -100
they O -100
tasted O -100
like O -100
heaven O -100
. O -100
Our O -100
waitress B-ASP -100
was O -100
really O -100
friendly O -100
and O -100
I O -100
would O -100
highly O -100
recommend O -100
eating O -100
here O -100
. O -100
I O -100
will O -100
make O -100
it O -100
a O -100
point O -100
to O -100
come O -100
back O -100
the O -100
next O -100
time O -100
I O -100
' O -100
m O -100
in O -100
town O -100
. O -100

I O -100
was O -100
in O -100
Austin O -100
recently O -100
and O -100
searched O -100
for O -100
a O -100
place O -100
to O -100
eat O -100
on O -100
this O -100
fine O -100
website O -100
called O -100
Yelp O -100
. O -100
We O -100
were O -100
looking O -100
for O -100
hard O -100
tacos O -100
and O -100
came O -100
upon O -100
Evita O -100
' O -100
s O -100
Botanitas O -100
and O -100
the O -100
menu O -100
looked O -100
pretty O -100
great O -100
. O -100
So O -100
we O -100
GPS O -100
' O -100
d O -100
ourselves O -100
there O -100
and O -100
found O -100
ourselves O -100
in O -100
a O -100
small O -100
strip O -100
mall O -100
, O -100
nothing O -100
fancy O -100
. O -100
And O -100
the O -100
food B-ASP -100
did O -100
not O -100
disappoint O -100
! O -100
! O -100
First O -100
of O -100
all O -100
, O -100
the O -100
salsa B-ASP -100
they O -100
give O -100
you O -100
is O -100
above O -100
and O -100
beyond O -100
. O -100
They O -100
bring O -100
a O -100
two O -100
tiered O -100
production O -100
with O -100
a O -100
basket O -100
of O -100
fresh O -100
tortilla O -100
chips O -100
and O -100
5 O -100
or O -100
6 O -100
different O -100
salsas B-ASP Positive
, O -100
all O -100
of O -100
which O -100
were O -100
delicious O -100
and O -100
not O -100
at O -100
all O -100
' O -100
omg O -100
my O -100
mouth O -100
, O -100
it O -100
' O -100
s O -100
on O -100
fire O -100
' O -100
I O -100
ordered O -100
a O -100
house O -100
margarita B-ASP -100
( O -100
rocks O -100
with O -100
salt O -100
please O -100
! O -100
) O -100
which O -100
was O -100
ass O -100
kicking O -100
in O -100
a O -100
good O -100
way O -100
. O -100
For O -100
my O -100
dinner O -100
I O -100
ordered O -100
the O -100
vegetarian O -100
quesadillas O -100
, O -100
which O -100
I O -100
admit O -100
were O -100
served O -100
to O -100
me O -100
in O -100
a O -100
unfamilliar O -100
way O -100
. O -100
Maybe O -100
I O -100
was O -100
just O -100
Dumb O -100
White O -100
Girl O -100
but O -100
when O -100
they O -100
brought O -100
my O -100
food O -100
I O -100
thought O -100
they O -100
brought O -100
soft O -100
tacos O -100
instead O -100
of O -100
a O -100
quesadilla O -100
. O -100
Granted O -100
, O -100
I O -100
' O -100
d O -100
ordered O -100
the O -100
corn O -100
tortillas O -100
rather O -100
than O -100
flour O -100
, O -100
and O -100
it O -100
looked O -100
like O -100
a O -100
plate O -100
with O -100
several O -100
soft O -100
tacos O -100
. O -100
And O -100
oh O -100
man O -100
, O -100
were O -100
those O -100
some O -100
seriously O -100
delicious O -100
quesadillas O -100
! O -100
I O -100
don O -100
' O -100
t O -100
care O -100
what O -100
they O -100
looked O -100
like O -100
, O -100
they O -100
tasted O -100
like O -100
heaven O -100
. O -100
Our O -100
waitress B-ASP -100
was O -100
really O -100
friendly O -100
and O -100
I O -100
would O -100
highly O -100
recommend O -100
eating O -100
here O -100
. O -100
I O -100
will O -100
make O -100
it O -100
a O -100
point O -100
to O -100
come O -100
back O -100
the O -100
next O -100
time O -100
I O -100
' O -100
m O -100
in O -100
town O -100
. O -100

I O -100
was O -100
in O -100
Austin O -100
recently O -100
and O -100
searched O -100
for O -100
a O -100
place O -100
to O -100
eat O -100
on O -100
this O -100
fine O -100
website O -100
called O -100
Yelp O -100
. O -100
We O -100
were O -100
looking O -100
for O -100
hard O -100
tacos O -100
and O -100
came O -100
upon O -100
Evita O -100
' O -100
s O -100
Botanitas O -100
and O -100
the O -100
menu O -100
looked O -100
pretty O -100
great O -100
. O -100
So O -100
we O -100
GPS O -100
' O -100
d O -100
ourselves O -100
there O -100
and O -100
found O -100
ourselves O -100
in O -100
a O -100
small O -100
strip O -100
mall O -100
, O -100
nothing O -100
fancy O -100
. O -100
And O -100
the O -100
food B-ASP -100
did O -100
not O -100
disappoint O -100
! O -100
! O -100
First O -100
of O -100
all O -100
, O -100
the O -100
salsa B-ASP -100
they O -100
give O -100
you O -100
is O -100
above O -100
and O -100
beyond O -100
. O -100
They O -100
bring O -100
a O -100
two O -100
tiered O -100
production O -100
with O -100
a O -100
basket O -100
of O -100
fresh O -100
tortilla O -100
chips O -100
and O -100
5 O -100
or O -100
6 O -100
different O -100
salsas B-ASP -100
, O -100
all O -100
of O -100
which O -100
were O -100
delicious O -100
and O -100
not O -100
at O -100
all O -100
' O -100
omg O -100
my O -100
mouth O -100
, O -100
it O -100
' O -100
s O -100
on O -100
fire O -100
' O -100
I O -100
ordered O -100
a O -100
house O -100
margarita B-ASP Positive
( O -100
rocks O -100
with O -100
salt O -100
please O -100
! O -100
) O -100
which O -100
was O -100
ass O -100
kicking O -100
in O -100
a O -100
good O -100
way O -100
. O -100
For O -100
my O -100
dinner O -100
I O -100
ordered O -100
the O -100
vegetarian O -100
quesadillas O -100
, O -100
which O -100
I O -100
admit O -100
were O -100
served O -100
to O -100
me O -100
in O -100
a O -100
unfamilliar O -100
way O -100
. O -100
Maybe O -100
I O -100
was O -100
just O -100
Dumb O -100
White O -100
Girl O -100
but O -100
when O -100
they O -100
brought O -100
my O -100
food O -100
I O -100
thought O -100
they O -100
brought O -100
soft O -100
tacos O -100
instead O -100
of O -100
a O -100
quesadilla O -100
. O -100
Granted O -100
, O -100
I O -100
' O -100
d O -100
ordered O -100
the O -100
corn O -100
tortillas O -100
rather O -100
than O -100
flour O -100
, O -100
and O -100
it O -100
looked O -100
like O -100
a O -100
plate O -100
with O -100
several O -100
soft O -100
tacos O -100
. O -100
And O -100
oh O -100
man O -100
, O -100
were O -100
those O -100
some O -100
seriously O -100
delicious O -100
quesadillas O -100
! O -100
I O -100
don O -100
' O -100
t O -100
care O -100
what O -100
they O -100
looked O -100
like O -100
, O -100
they O -100
tasted O -100
like O -100
heaven O -100
. O -100
Our O -100
waitress B-ASP -100
was O -100
really O -100
friendly O -100
and O -100
I O -100
would O -100
highly O -100
recommend O -100
eating O -100
here O -100
. O -100
I O -100
will O -100
make O -100
it O -100
a O -100
point O -100
to O -100
come O -100
back O -100
the O -100
next O -100
time O -100
I O -100
' O -100
m O -100
in O -100
town O -100
. O -100

I O -100
was O -100
in O -100
Austin O -100
recently O -100
and O -100
searched O -100
for O -100
a O -100
place O -100
to O -100
eat O -100
on O -100
this O -100
fine O -100
website O -100
called O -100
Yelp O -100
. O -100
We O -100
were O -100
looking O -100
for O -100
hard O -100
tacos O -100
and O -100
came O -100
upon O -100
Evita O -100
' O -100
s O -100
Botanitas O -100
and O -100
the O -100
menu O -100
looked O -100
pretty O -100
great O -100
. O -100
So O -100
we O -100
GPS O -100
' O -100
d O -100
ourselves O -100
there O -100
and O -100
found O -100
ourselves O -100
in O -100
a O -100
small O -100
strip O -100
mall O -100
, O -100
nothing O -100
fancy O -100
. O -100
And O -100
the O -100
food B-ASP -100
did O -100
not O -100
disappoint O -100
! O -100
! O -100
First O -100
of O -100
all O -100
, O -100
the O -100
salsa B-ASP -100
they O -100
give O -100
you O -100
is O -100
above O -100
and O -100
beyond O -100
. O -100
They O -100
bring O -100
a O -100
two O -100
tiered O -100
production O -100
with O -100
a O -100
basket O -100
of O -100
fresh O -100
tortilla O -100
chips O -100
and O -100
5 O -100
or O -100
6 O -100
different O -100
salsas B-ASP -100
, O -100
all O -100
of O -100
which O -100
were O -100
delicious O -100
and O -100
not O -100
at O -100
all O -100
' O -100
omg O -100
my O -100
mouth O -100
, O -100
it O -100
' O -100
s O -100
on O -100
fire O -100
' O -100
I O -100
ordered O -100
a O -100
house O -100
margarita B-ASP -100
( O -100
rocks O -100
with O -100
salt O -100
please O -100
! O -100
) O -100
which O -100
was O -100
ass O -100
kicking O -100
in O -100
a O -100
good O -100
way O -100
. O -100
For O -100
my O -100
dinner O -100
I O -100
ordered O -100
the O -100
vegetarian O -100
quesadillas O -100
, O -100
which O -100
I O -100
admit O -100
were O -100
served O -100
to O -100
me O -100
in O -100
a O -100
unfamilliar O -100
way O -100
. O -100
Maybe O -100
I O -100
was O -100
just O -100
Dumb O -100
White O -100
Girl O -100
but O -100
when O -100
they O -100
brought O -100
my O -100
food O -100
I O -100
thought O -100
they O -100
brought O -100
soft O -100
tacos O -100
instead O -100
of O -100
a O -100
quesadilla O -100
. O -100
Granted O -100
, O -100
I O -100
' O -100
d O -100
ordered O -100
the O -100
corn O -100
tortillas O -100
rather O -100
than O -100
flour O -100
, O -100
and O -100
it O -100
looked O -100
like O -100
a O -100
plate O -100
with O -100
several O -100
soft O -100
tacos O -100
. O -100
And O -100
oh O -100
man O -100
, O -100
were O -100
those O -100
some O -100
seriously O -100
delicious O -100
quesadillas O -100
! O -100
I O -100
don O -100
' O -100
t O -100
care O -100
what O -100
they O -100
looked O -100
like O -100
, O -100
they O -100
tasted O -100
like O -100
heaven O -100
. O -100
Our O -100
waitress B-ASP Positive
was O -100
really O -100
friendly O -100
and O -100
I O -100
would O -100
highly O -100
recommend O -100
eating O -100
here O -100
. O -100
I O -100
will O -100
make O -100
it O -100
a O -100
point O -100
to O -100
come O -100
back O -100
the O -100
next O -100
time O -100
I O -100
' O -100
m O -100
in O -100
town O -100
. O -100

I O -100
used O -100
to O -100
love O -100
this O -100
place O -100
. O -100
The O -100
food B-ASP Positive
is O -100
very O -100
good O -100
, O -100
and O -100
thankfully O -100
that O -100
hasn O -100
' O -100
t O -100
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. O -100
However O -100
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about O -100
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15 O -100
times O -100
( O -100
usually O -100
the O -100
same O -100
dish O -100
) O -100
, O -100
I O -100
noticed O -100
the O -100
portions B-ASP -100
were O -100
smaller O -100
than O -100
ever O -100
. O -100
I O -100
asked O -100
the O -100
waitress O -100
, O -100
and O -100
she O -100
said O -100
it O -100
' O -100
s O -100
the O -100
same O -100
as O -100
always O -100
. O -100
She O -100
' O -100
s O -100
been O -100
there O -100
for O -100
a O -100
while O -100
, O -100
so O -100
she O -100
obviously O -100
knows O -100
the O -100
difference O -100
and O -100
is O -100
just O -100
denying O -100
it O -100
. O -100
It O -100
' O -100
s O -100
not O -100
my O -100
imagination O -100
because O -100
my O -100
wife O -100
noticed O -100
my O -100
plate O -100
and O -100
said O -100
the O -100
same O -100
thing O -100
. O -100
I O -100
ordered O -100
a O -100
combo O -100
plate O -100
that O -100
you O -100
can O -100
choose O -100
up O -100
to O -100
four O -100
items O -100
. O -100
I O -100
wanted O -100
three O -100
, O -100
and O -100
asked O -100
to O -100
just O -100
double O -100
up O -100
on O -100
the O -100
eggplant O -100
( O -100
which O -100
I O -100
ALWAYS O -100
do O -100
) O -100
. O -100
The O -100
waitress O -100
said O -100
there O -100
would O -100
be O -100
a O -100
$ O -100
2 O -100
up O -100
charge O -100
to O -100
double O -100
eggplant O -100
or O -100
babaganoush O -100
. O -100
I O -100
looked O -100
at O -100
the O -100
menu O -100
, O -100
and O -100
the O -100
appetizer O -100
portion B-ASP -100
( O -100
which O -100
is O -100
bigger O -100
than O -100
the O -100
combo O -100
portion O -100
) O -100
of O -100
eggplant O -100
is O -100
only O -100
$ O -100
1 O -100
more O -100
than O -100
the O -100
other O -100
items O -100
. O -100
So O -100
where O -100
did O -100
the O -100
other O -100
dollar O -100
come O -100
from O -100
? O -100
? O -100
The O -100
babaganoush O -100
was O -100
the O -100
exact O -100
same O -100
price O -100
on O -100
the O -100
appetizer O -100
menu O -100
as O -100
the O -100
other O -100
items O -100
! O -100
So O -100
where O -100
did O -100
the O -100
$ O -100
2 O -100
up O -100
charge O -100
come O -100
from O -100
? O -100
? O -100
It O -100
made O -100
no O -100
sense O -100
to O -100
me O -100
whatsoever O -100
, O -100
but O -100
I O -100
did O -100
' O -100
t O -100
feel O -100
like O -100
arguing O -100
about O -100
it O -100
. O -100
Even O -100
if O -100
there O -100
was O -100
a O -100
legitimate O -100
reason O -100
for O -100
the O -100
up O -100
charge O -100
, O -100
they O -100
should O -100
have O -100
it O -100
on O -100
the O -100
menu O -100
, O -100
like O -100
they O -100
do O -100
for O -100
grape O -100
leaves O -100
. O -100
The O -100
whole O -100
thing O -100
put O -100
a O -100
bad O -100
taste O -100
in O -100
my O -100
mouth O -100
. O -100
Like O -100
I O -100
said O -100
, O -100
the O -100
food B-ASP -100
is O -100
tasty O -100
, O -100
but O -100
I O -100
might O -100
boycott O -100
this O -100
place O -100
just O -100
for O -100
the O -100
principal O -100
of O -100
it O -100
. O -100

I O -100
used O -100
to O -100
love O -100
this O -100
place O -100
. O -100
The O -100
food B-ASP -100
is O -100
very O -100
good O -100
, O -100
and O -100
thankfully O -100
that O -100
hasn O -100
' O -100
t O -100
changed O -100
. O -100
However O -100
, O -100
after O -100
eating O -100
there O -100
about O -100
12 O -100
15 O -100
times O -100
( O -100
usually O -100
the O -100
same O -100
dish O -100
) O -100
, O -100
I O -100
noticed O -100
the O -100
portions B-ASP Negative
were O -100
smaller O -100
than O -100
ever O -100
. O -100
I O -100
asked O -100
the O -100
waitress O -100
, O -100
and O -100
she O -100
said O -100
it O -100
' O -100
s O -100
the O -100
same O -100
as O -100
always O -100
. O -100
She O -100
' O -100
s O -100
been O -100
there O -100
for O -100
a O -100
while O -100
, O -100
so O -100
she O -100
obviously O -100
knows O -100
the O -100
difference O -100
and O -100
is O -100
just O -100
denying O -100
it O -100
. O -100
It O -100
' O -100
s O -100
not O -100
my O -100
imagination O -100
because O -100
my O -100
wife O -100
noticed O -100
my O -100
plate O -100
and O -100
said O -100
the O -100
same O -100
thing O -100
. O -100
I O -100
ordered O -100
a O -100
combo O -100
plate O -100
that O -100
you O -100
can O -100
choose O -100
up O -100
to O -100
four O -100
items O -100
. O -100
I O -100
wanted O -100
three O -100
, O -100
and O -100
asked O -100
to O -100
just O -100
double O -100
up O -100
on O -100
the O -100
eggplant O -100
( O -100
which O -100
I O -100
ALWAYS O -100
do O -100
) O -100
. O -100
The O -100
waitress O -100
said O -100
there O -100
would O -100
be O -100
a O -100
$ O -100
2 O -100
up O -100
charge O -100
to O -100
double O -100
eggplant O -100
or O -100
babaganoush O -100
. O -100
I O -100
looked O -100
at O -100
the O -100
menu O -100
, O -100
and O -100
the O -100
appetizer O -100
portion B-ASP -100
( O -100
which O -100
is O -100
bigger O -100
than O -100
the O -100
combo O -100
portion O -100
) O -100
of O -100
eggplant O -100
is O -100
only O -100
$ O -100
1 O -100
more O -100
than O -100
the O -100
other O -100
items O -100
. O -100
So O -100
where O -100
did O -100
the O -100
other O -100
dollar O -100
come O -100
from O -100
? O -100
? O -100
The O -100
babaganoush O -100
was O -100
the O -100
exact O -100
same O -100
price O -100
on O -100
the O -100
appetizer O -100
menu O -100
as O -100
the O -100
other O -100
items O -100
! O -100
So O -100
where O -100
did O -100
the O -100
$ O -100
2 O -100
up O -100
charge O -100
come O -100
from O -100
? O -100
? O -100
It O -100
made O -100
no O -100
sense O -100
to O -100
me O -100
whatsoever O -100
, O -100
but O -100
I O -100
did O -100
' O -100
t O -100
feel O -100
like O -100
arguing O -100
about O -100
it O -100
. O -100
Even O -100
if O -100
there O -100
was O -100
a O -100
legitimate O -100
reason O -100
for O -100
the O -100
up O -100
charge O -100
, O -100
they O -100
should O -100
have O -100
it O -100
on O -100
the O -100
menu O -100
, O -100
like O -100
they O -100
do O -100
for O -100
grape O -100
leaves O -100
. O -100
The O -100
whole O -100
thing O -100
put O -100
a O -100
bad O -100
taste O -100
in O -100
my O -100
mouth O -100
. O -100
Like O -100
I O -100
said O -100
, O -100
the O -100
food B-ASP -100
is O -100
tasty O -100
, O -100
but O -100
I O -100
might O -100
boycott O -100
this O -100
place O -100
just O -100
for O -100
the O -100
principal O -100
of O -100
it O -100
. O -100

I O -100
used O -100
to O -100
love O -100
this O -100
place O -100
. O -100
The O -100
food B-ASP -100
is O -100
very O -100
good O -100
, O -100
and O -100
thankfully O -100
that O -100
hasn O -100
' O -100
t O -100
changed O -100
. O -100
However O -100
, O -100
after O -100
eating O -100
there O -100
about O -100
12 O -100
15 O -100
times O -100
( O -100
usually O -100
the O -100
same O -100
dish O -100
) O -100
, O -100
I O -100
noticed O -100
the O -100
portions B-ASP -100
were O -100
smaller O -100
than O -100
ever O -100
. O -100
I O -100
asked O -100
the O -100
waitress O -100
, O -100
and O -100
she O -100
said O -100
it O -100
' O -100
s O -100
the O -100
same O -100
as O -100
always O -100
. O -100
She O -100
' O -100
s O -100
been O -100
there O -100
for O -100
a O -100
while O -100
, O -100
so O -100
she O -100
obviously O -100
knows O -100
the O -100
difference O -100
and O -100
is O -100
just O -100
denying O -100
it O -100
. O -100
It O -100
' O -100
s O -100
not O -100
my O -100
imagination O -100
because O -100
my O -100
wife O -100
noticed O -100
my O -100
plate O -100
and O -100
said O -100
the O -100
same O -100
thing O -100
. O -100
I O -100
ordered O -100
a O -100
combo O -100
plate O -100
that O -100
you O -100
can O -100
choose O -100
up O -100
to O -100
four O -100
items O -100
. O -100
I O -100
wanted O -100
three O -100
, O -100
and O -100
asked O -100
to O -100
just O -100
double O -100
up O -100
on O -100
the O -100
eggplant O -100
( O -100
which O -100
I O -100
ALWAYS O -100
do O -100
) O -100
. O -100
The O -100
waitress O -100
said O -100
there O -100
would O -100
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a O -100
$ O -100
2 O -100
up O -100
charge O -100
to O -100
double O -100
eggplant O -100
or O -100
babaganoush O -100
. O -100
I O -100
looked O -100
at O -100
the O -100
menu O -100
, O -100
and O -100
the O -100
appetizer O -100
portion B-ASP Negative
( O -100
which O -100
is O -100
bigger O -100
than O -100
the O -100
combo O -100
portion O -100
) O -100
of O -100
eggplant O -100
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only O -100
$ O -100
1 O -100
more O -100
than O -100
the O -100
other O -100
items O -100
. O -100
So O -100
where O -100
did O -100
the O -100
other O -100
dollar O -100
come O -100
from O -100
? O -100
? O -100
The O -100
babaganoush O -100
was O -100
the O -100
exact O -100
same O -100
price O -100
on O -100
the O -100
appetizer O -100
menu O -100
as O -100
the O -100
other O -100
items O -100
! O -100
So O -100
where O -100
did O -100
the O -100
$ O -100
2 O -100
up O -100
charge O -100
come O -100
from O -100
? O -100
? O -100
It O -100
made O -100
no O -100
sense O -100
to O -100
me O -100
whatsoever O -100
, O -100
but O -100
I O -100
did O -100
' O -100
t O -100
feel O -100
like O -100
arguing O -100
about O -100
it O -100
. O -100
Even O -100
if O -100
there O -100
was O -100
a O -100
legitimate O -100
reason O -100
for O -100
the O -100
up O -100
charge O -100
, O -100
they O -100
should O -100
have O -100
it O -100
on O -100
the O -100
menu O -100
, O -100
like O -100
they O -100
do O -100
for O -100
grape O -100
leaves O -100
. O -100
The O -100
whole O -100
thing O -100
put O -100
a O -100
bad O -100
taste O -100
in O -100
my O -100
mouth O -100
. O -100
Like O -100
I O -100
said O -100
, O -100
the O -100
food B-ASP -100
is O -100
tasty O -100
, O -100
but O -100
I O -100
might O -100
boycott O -100
this O -100
place O -100
just O -100
for O -100
the O -100
principal O -100
of O -100
it O -100
. O -100

I O -100
used O -100
to O -100
love O -100
this O -100
place O -100
. O -100
The O -100
food B-ASP -100
is O -100
very O -100
good O -100
, O -100
and O -100
thankfully O -100
that O -100
hasn O -100
' O -100
t O -100
changed O -100
. O -100
However O -100
, O -100
after O -100
eating O -100
there O -100
about O -100
12 O -100
15 O -100
times O -100
( O -100
usually O -100
the O -100
same O -100
dish O -100
) O -100
, O -100
I O -100
noticed O -100
the O -100
portions B-ASP -100
were O -100
smaller O -100
than O -100
ever O -100
. O -100
I O -100
asked O -100
the O -100
waitress O -100
, O -100
and O -100
she O -100
said O -100
it O -100
' O -100
s O -100
the O -100
same O -100
as O -100
always O -100
. O -100
She O -100
' O -100
s O -100
been O -100
there O -100
for O -100
a O -100
while O -100
, O -100
so O -100
she O -100
obviously O -100
knows O -100
the O -100
difference O -100
and O -100
is O -100
just O -100
denying O -100
it O -100
. O -100
It O -100
' O -100
s O -100
not O -100
my O -100
imagination O -100
because O -100
my O -100
wife O -100
noticed O -100
my O -100
plate O -100
and O -100
said O -100
the O -100
same O -100
thing O -100
. O -100
I O -100
ordered O -100
a O -100
combo O -100
plate O -100
that O -100
you O -100
can O -100
choose O -100
up O -100
to O -100
four O -100
items O -100
. O -100
I O -100
wanted O -100
three O -100
, O -100
and O -100
asked O -100
to O -100
just O -100
double O -100
up O -100
on O -100
the O -100
eggplant O -100
( O -100
which O -100
I O -100
ALWAYS O -100
do O -100
) O -100
. O -100
The O -100
waitress O -100
said O -100
there O -100
would O -100
be O -100
a O -100
$ O -100
2 O -100
up O -100
charge O -100
to O -100
double O -100
eggplant O -100
or O -100
babaganoush O -100
. O -100
I O -100
looked O -100
at O -100
the O -100
menu O -100
, O -100
and O -100
the O -100
appetizer O -100
portion B-ASP -100
( O -100
which O -100
is O -100
bigger O -100
than O -100
the O -100
combo O -100
portion O -100
) O -100
of O -100
eggplant O -100
is O -100
only O -100
$ O -100
1 O -100
more O -100
than O -100
the O -100
other O -100
items O -100
. O -100
So O -100
where O -100
did O -100
the O -100
other O -100
dollar O -100
come O -100
from O -100
? O -100
? O -100
The O -100
babaganoush O -100
was O -100
the O -100
exact O -100
same O -100
price O -100
on O -100
the O -100
appetizer O -100
menu O -100
as O -100
the O -100
other O -100
items O -100
! O -100
So O -100
where O -100
did O -100
the O -100
$ O -100
2 O -100
up O -100
charge O -100
come O -100
from O -100
? O -100
? O -100
It O -100
made O -100
no O -100
sense O -100
to O -100
me O -100
whatsoever O -100
, O -100
but O -100
I O -100
did O -100
' O -100
t O -100
feel O -100
like O -100
arguing O -100
about O -100
it O -100
. O -100
Even O -100
if O -100
there O -100
was O -100
a O -100
legitimate O -100
reason O -100
for O -100
the O -100
up O -100
charge O -100
, O -100
they O -100
should O -100
have O -100
it O -100
on O -100
the O -100
menu O -100
, O -100
like O -100
they O -100
do O -100
for O -100
grape O -100
leaves O -100
. O -100
The O -100
whole O -100
thing O -100
put O -100
a O -100
bad O -100
taste O -100
in O -100
my O -100
mouth O -100
. O -100
Like O -100
I O -100
said O -100
, O -100
the O -100
food B-ASP Positive
is O -100
tasty O -100
, O -100
but O -100
I O -100
might O -100
boycott O -100
this O -100
place O -100
just O -100
for O -100
the O -100
principal O -100
of O -100
it O -100
. O -100

My O -100
brother O -100
in O -100
law O -100
suggested O -100
this O -100
place O -100
, O -100
and O -100
we O -100
came O -100
here O -100
right O -100
after O -100
arriving O -100
in O -100
Orlando O -100
, O -100
so O -100
we O -100
were O -100
starving O -100
. O -100
The O -100
service B-ASP Positive
was O -100
good O -100
, O -100
the O -100
food B-ASP -100
was O -100
absolutely O -100
terrible O -100
. O -100
Every O -100
single O -100
dish O -100
. O -100
I O -100
ordered O -100
the O -100
mofongo O -100
de O -100
camarones O -100
( O -100
shrimp O -100
with O -100
mashed O -100
plantain O -100
) O -100
. O -100
The O -100
shrimp O -100
came O -100
separate O -100
, O -100
and O -100
the O -100
garlic O -100
sauce O -100
lacked O -100
any O -100
flavor O -100
it O -100
didn O -100
' O -100
t O -100
even O -100
taste O -100
like O -100
garlic O -100
! O -100
The O -100
sauce O -100
that O -100
typically O -100
comes O -100
with O -100
this O -100
dish O -100
( O -100
in O -100
a O -100
separate O -100
cup O -100
) O -100
looked O -100
and O -100
tasted O -100
like O -100
oil O -100
. O -100
So O -100
gross O -100
. O -100
I O -100
would O -100
never O -100
eat O -100
here O -100
again O -100
. O -100

My O -100
brother O -100
in O -100
law O -100
suggested O -100
this O -100
place O -100
, O -100
and O -100
we O -100
came O -100
here O -100
right O -100
after O -100
arriving O -100
in O -100
Orlando O -100
, O -100
so O -100
we O -100
were O -100
starving O -100
. O -100
The O -100
service B-ASP -100
was O -100
good O -100
, O -100
the O -100
food B-ASP Negative
was O -100
absolutely O -100
terrible O -100
. O -100
Every O -100
single O -100
dish O -100
. O -100
I O -100
ordered O -100
the O -100
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like O -100
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them O -100
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Scoutmob O -100
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! O -100
! O -100

Let O -100
me O -100
start O -100
by O -100
saying O -100
this O -100
place O -100
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lucky O -100
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' O -100
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. O -100
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me O -100
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' O -100
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of O -100
dry O -100
brisket O -100
black O -100
on O -100
all O -100
sides O -100
. O -100
This O -100
is O -100
not O -100
the O -100
burnt O -100
ends O -100
I O -100
know O -100
and O -100
love O -100
. O -100
Definite O -100
disappointment O -100
when O -100
that O -100
was O -100
my O -100
sole O -100
purpose O -100
for O -100
coming O -100
there O -100
. O -100
Other O -100
lackluster O -100
food O -100
: O -100
the O -100
brunswick O -100
stew B-ASP -100
was O -100
just O -100
okay O -100
. O -100
. O -100
. O -100
tasted O -100
and O -100
looked O -100
like O -100
something O -100
you O -100
would O -100
get O -100
out O -100
of O -100
a O -100
can O -100
. O -100
The O -100
potato O -100
salad B-ASP Negative
had O -100
pretty O -100
much O -100
no O -100
flavor O -100
and O -100
the O -100
potato O -100
seemed O -100
slightly O -100
undercooked O -100
. O -100
The O -100
good O -100
food O -100
: O -100
I O -100
really O -100
enjoyed O -100
the O -100
okra O -100
. O -100
I O -100
love O -100
okra O -100
, O -100
and O -100
whenever O -100
I O -100
order O -100
fried O -100
okra O -100
I O -100
assume O -100
it O -100
' O -100
s O -100
going O -100
to O -100
be O -100
sliced O -100
and O -100
in O -100
corn O -100
meal O -100
. O -100
However O -100
, O -100
they O -100
fry O -100
it O -100
whole O -100
and O -100
in O -100
almost O -100
a O -100
tempura O -100
type O -100
batter O -100
. O -100
Very O -100
different O -100
and O -100
very O -100
tasty O -100
. O -100
We O -100
ordered O -100
some O -100
wings O -100
and O -100
they O -100
were O -100
very O -100
good O -100
. O -100
They O -100
' O -100
re O -100
smoked O -100
and O -100
then O -100
flash O -100
fried O -100
so O -100
they O -100
are O -100
flavorful O -100
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juicy O -100
. O -100
However O -100
, O -100
I O -100
recommend O -100
getting O -100
them O -100
in O -100
a O -100
sauce O -100
because O -100
the O -100
dry O -100
rub O -100
just O -100
isn O -100
' O -100
t O -100
enough O -100
. O -100
The O -100
pulled O -100
pork O -100
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good O -100
, O -100
but O -100
a O -100
little O -100
dry O -100
like O -100
it O -100
was O -100
pulled O -100
long O -100
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I O -100
ordered O -100
it O -100
. O -100
On O -100
top O -100
of O -100
food O -100
shortcomings O -100
, O -100
there O -100
were O -100
several O -100
service O -100
issues O -100
. O -100
The O -100
server O -100
, O -100
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very O -100
nice O -100
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polite O -100
, O -100
. O -100
was O -100
the O -100
only O -100
server O -100
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the O -100
lunch O -100
shift O -100
. O -100
So O -100
she O -100
was O -100
obviously O -100
overwhelmed O -100
by O -100
five O -100
or O -100
six O -100
tables O -100
. O -100
On O -100
top O -100
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that O -100
, O -100
our O -100
bill O -100
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table O -100
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I O -100
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my O -100
bill O -100
it O -100
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over O -100
80 O -100
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for O -100
the O -100
two O -100
of O -100
us O -100
. O -100
She O -100
fixed O -100
it O -100
, O -100
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it O -100
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a O -100
longer O -100
delay B-ASP -100
than O -100
there O -100
already O -100
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. O -100
The O -100
service B-ASP -100
issues O -100
really O -100
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' O -100
t O -100
her O -100
fault O -100
, O -100
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management O -100
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only O -100
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, O -100
that O -100
was O -100
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acting O -100
as O -100
the O -100
bartender O -100
. O -100
If O -100
I O -100
' O -100
m O -100
in O -100
the O -100
area O -100
and O -100
needing O -100
some O -100
bbq O -100
I O -100
would O -100
definitely O -100
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here O -100
again O -100
. O -100
Just O -100
a O -100
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when O -100
I O -100
came O -100
out O -100
of O -100
the O -100
way O -100
for O -100
burnt O -100
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that O -100
were O -100
not O -100
great O -100
. O -100

Let O -100
me O -100
start O -100
by O -100
saying O -100
this O -100
place O -100
is O -100
lucky O -100
my O -100
girlfriend O -100
isn O -100
' O -100
t O -100
the O -100
one O -100
reviewing O -100
it O -100
because O -100
she O -100
is O -100
far O -100
harsher O -100
. O -100
Decor O -100
works O -100
. O -100
You O -100
feel O -100
like O -100
you O -100
' O -100
re O -100
in O -100
a O -100
down O -100
home O -100
bbq O -100
joint O -100
. O -100
Mission O -100
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. O -100
I O -100
liked O -100
the O -100
menu O -100
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its O -100
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as O -100
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. O -100
( O -100
although O -100
there O -100
was O -100
some O -100
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on O -100
the O -100
combo O -100
in O -100
that O -100
ribs O -100
and O -100
wings O -100
were O -100
not O -100
an O -100
option O -100
although O -100
they O -100
appeared O -100
to O -100
be O -100
. O -100
) O -100
My O -100
first O -100
issue O -100
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the O -100
burnt O -100
ends O -100
. O -100
I O -100
came O -100
here O -100
for O -100
the O -100
burnt O -100
ends O -100
, O -100
because O -100
FYI O -100
, O -100
it O -100
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very O -100
hard O -100
to O -100
find O -100
burnt O -100
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around O -100
Atlanta O -100
. O -100
this O -100
place O -100
offered O -100
them O -100
so O -100
I O -100
came O -100
. O -100
They O -100
were O -100
sub O -100
par O -100
in O -100
my O -100
opinion O -100
. O -100
They O -100
were O -100
1 O -100
. O -100
5 O -100
inch O -100
cubes O -100
of O -100
dry O -100
brisket O -100
black O -100
on O -100
all O -100
sides O -100
. O -100
This O -100
is O -100
not O -100
the O -100
burnt O -100
ends O -100
I O -100
know O -100
and O -100
love O -100
. O -100
Definite O -100
disappointment O -100
when O -100
that O -100
was O -100
my O -100
sole O -100
purpose O -100
for O -100
coming O -100
there O -100
. O -100
Other O -100
lackluster O -100
food O -100
: O -100
the O -100
brunswick O -100
stew B-ASP -100
was O -100
just O -100
okay O -100
. O -100
. O -100
. O -100
tasted O -100
and O -100
looked O -100
like O -100
something O -100
you O -100
would O -100
get O -100
out O -100
of O -100
a O -100
can O -100
. O -100
The O -100
potato O -100
salad B-ASP -100
had O -100
pretty O -100
much O -100
no O -100
flavor O -100
and O -100
the O -100
potato O -100
seemed O -100
slightly O -100
undercooked O -100
. O -100
The O -100
good O -100
food O -100
: O -100
I O -100
really O -100
enjoyed O -100
the O -100
okra O -100
. O -100
I O -100
love O -100
okra O -100
, O -100
and O -100
whenever O -100
I O -100
order O -100
fried O -100
okra O -100
I O -100
assume O -100
it O -100
' O -100
s O -100
going O -100
to O -100
be O -100
sliced O -100
and O -100
in O -100
corn O -100
meal O -100
. O -100
However O -100
, O -100
they O -100
fry O -100
it O -100
whole O -100
and O -100
in O -100
almost O -100
a O -100
tempura O -100
type O -100
batter O -100
. O -100
Very O -100
different O -100
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very O -100
tasty O -100
. O -100
We O -100
ordered O -100
some O -100
wings O -100
and O -100
they O -100
were O -100
very O -100
good O -100
. O -100
They O -100
' O -100
re O -100
smoked O -100
and O -100
then O -100
flash O -100
fried O -100
so O -100
they O -100
are O -100
flavorful O -100
and O -100
juicy O -100
. O -100
However O -100
, O -100
I O -100
recommend O -100
getting O -100
them O -100
in O -100
a O -100
sauce O -100
because O -100
the O -100
dry O -100
rub O -100
just O -100
isn O -100
' O -100
t O -100
enough O -100
. O -100
The O -100
pulled O -100
pork O -100
was O -100
also O -100
very O -100
good O -100
, O -100
but O -100
a O -100
little O -100
dry O -100
like O -100
it O -100
was O -100
pulled O -100
long O -100
before O -100
I O -100
ordered O -100
it O -100
. O -100
On O -100
top O -100
of O -100
food O -100
shortcomings O -100
, O -100
there O -100
were O -100
several O -100
service O -100
issues O -100
. O -100
The O -100
server O -100
, O -100
although O -100
very O -100
nice O -100
and O -100
polite O -100
, O -100
. O -100
was O -100
the O -100
only O -100
server O -100
working O -100
the O -100
lunch O -100
shift O -100
. O -100
So O -100
she O -100
was O -100
obviously O -100
overwhelmed O -100
by O -100
five O -100
or O -100
six O -100
tables O -100
. O -100
On O -100
top O -100
of O -100
that O -100
, O -100
our O -100
bill O -100
was O -100
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the O -100
table O -100
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to O -100
us O -100
so O -100
when O -100
I O -100
got O -100
my O -100
bill O -100
it O -100
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over O -100
80 O -100
dollars O -100
for O -100
the O -100
two O -100
of O -100
us O -100
. O -100
She O -100
fixed O -100
it O -100
, O -100
but O -100
it O -100
caused O -100
a O -100
longer O -100
delay B-ASP Negative
than O -100
there O -100
already O -100
was O -100
. O -100
The O -100
service B-ASP -100
issues O -100
really O -100
weren O -100
' O -100
t O -100
her O -100
fault O -100
, O -100
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management O -100
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only O -100
having O -100
one O -100
server O -100
, O -100
that O -100
was O -100
also O -100
acting O -100
as O -100
the O -100
bartender O -100
. O -100
If O -100
I O -100
' O -100
m O -100
in O -100
the O -100
area O -100
and O -100
needing O -100
some O -100
bbq O -100
I O -100
would O -100
definitely O -100
come O -100
here O -100
again O -100
. O -100
Just O -100
a O -100
disappointment O -100
when O -100
I O -100
came O -100
out O -100
of O -100
the O -100
way O -100
for O -100
burnt O -100
ends O -100
that O -100
were O -100
not O -100
great O -100
. O -100

Let O -100
me O -100
start O -100
by O -100
saying O -100
this O -100
place O -100
is O -100
lucky O -100
my O -100
girlfriend O -100
isn O -100
' O -100
t O -100
the O -100
one O -100
reviewing O -100
it O -100
because O -100
she O -100
is O -100
far O -100
harsher O -100
. O -100
Decor O -100
works O -100
. O -100
You O -100
feel O -100
like O -100
you O -100
' O -100
re O -100
in O -100
a O -100
down O -100
home O -100
bbq O -100
joint O -100
. O -100
Mission O -100
accomplished O -100
. O -100
I O -100
liked O -100
the O -100
menu O -100
and O -100
its O -100
simplicity O -100
as O -100
well O -100
. O -100
( O -100
although O -100
there O -100
was O -100
some O -100
confusion O -100
on O -100
the O -100
combo O -100
in O -100
that O -100
ribs O -100
and O -100
wings O -100
were O -100
not O -100
an O -100
option O -100
although O -100
they O -100
appeared O -100
to O -100
be O -100
. O -100
) O -100
My O -100
first O -100
issue O -100
was O -100
with O -100
the O -100
burnt O -100
ends O -100
. O -100
I O -100
came O -100
here O -100
for O -100
the O -100
burnt O -100
ends O -100
, O -100
because O -100
FYI O -100
, O -100
it O -100
is O -100
very O -100
hard O -100
to O -100
find O -100
burnt O -100
ends O -100
around O -100
Atlanta O -100
. O -100
this O -100
place O -100
offered O -100
them O -100
so O -100
I O -100
came O -100
. O -100
They O -100
were O -100
sub O -100
par O -100
in O -100
my O -100
opinion O -100
. O -100
They O -100
were O -100
1 O -100
. O -100
5 O -100
inch O -100
cubes O -100
of O -100
dry O -100
brisket O -100
black O -100
on O -100
all O -100
sides O -100
. O -100
This O -100
is O -100
not O -100
the O -100
burnt O -100
ends O -100
I O -100
know O -100
and O -100
love O -100
. O -100
Definite O -100
disappointment O -100
when O -100
that O -100
was O -100
my O -100
sole O -100
purpose O -100
for O -100
coming O -100
there O -100
. O -100
Other O -100
lackluster O -100
food O -100
: O -100
the O -100
brunswick O -100
stew B-ASP -100
was O -100
just O -100
okay O -100
. O -100
. O -100
. O -100
tasted O -100
and O -100
looked O -100
like O -100
something O -100
you O -100
would O -100
get O -100
out O -100
of O -100
a O -100
can O -100
. O -100
The O -100
potato O -100
salad B-ASP -100
had O -100
pretty O -100
much O -100
no O -100
flavor O -100
and O -100
the O -100
potato O -100
seemed O -100
slightly O -100
undercooked O -100
. O -100
The O -100
good O -100
food O -100
: O -100
I O -100
really O -100
enjoyed O -100
the O -100
okra O -100
. O -100
I O -100
love O -100
okra O -100
, O -100
and O -100
whenever O -100
I O -100
order O -100
fried O -100
okra O -100
I O -100
assume O -100
it O -100
' O -100
s O -100
going O -100
to O -100
be O -100
sliced O -100
and O -100
in O -100
corn O -100
meal O -100
. O -100
However O -100
, O -100
they O -100
fry O -100
it O -100
whole O -100
and O -100
in O -100
almost O -100
a O -100
tempura O -100
type O -100
batter O -100
. O -100
Very O -100
different O -100
and O -100
very O -100
tasty O -100
. O -100
We O -100
ordered O -100
some O -100
wings O -100
and O -100
they O -100
were O -100
very O -100
good O -100
. O -100
They O -100
' O -100
re O -100
smoked O -100
and O -100
then O -100
flash O -100
fried O -100
so O -100
they O -100
are O -100
flavorful O -100
and O -100
juicy O -100
. O -100
However O -100
, O -100
I O -100
recommend O -100
getting O -100
them O -100
in O -100
a O -100
sauce O -100
because O -100
the O -100
dry O -100
rub O -100
just O -100
isn O -100
' O -100
t O -100
enough O -100
. O -100
The O -100
pulled O -100
pork O -100
was O -100
also O -100
very O -100
good O -100
, O -100
but O -100
a O -100
little O -100
dry O -100
like O -100
it O -100
was O -100
pulled O -100
long O -100
before O -100
I O -100
ordered O -100
it O -100
. O -100
On O -100
top O -100
of O -100
food O -100
shortcomings O -100
, O -100
there O -100
were O -100
several O -100
service O -100
issues O -100
. O -100
The O -100
server O -100
, O -100
although O -100
very O -100
nice O -100
and O -100
polite O -100
, O -100
. O -100
was O -100
the O -100
only O -100
server O -100
working O -100
the O -100
lunch O -100
shift O -100
. O -100
So O -100
she O -100
was O -100
obviously O -100
overwhelmed O -100
by O -100
five O -100
or O -100
six O -100
tables O -100
. O -100
On O -100
top O -100
of O -100
that O -100
, O -100
our O -100
bill O -100
was O -100
mixed O -100
with O -100
the O -100
table O -100
next O -100
to O -100
us O -100
so O -100
when O -100
I O -100
got O -100
my O -100
bill O -100
it O -100
was O -100
over O -100
80 O -100
dollars O -100
for O -100
the O -100
two O -100
of O -100
us O -100
. O -100
She O -100
fixed O -100
it O -100
, O -100
but O -100
it O -100
caused O -100
a O -100
longer O -100
delay B-ASP -100
than O -100
there O -100
already O -100
was O -100
. O -100
The O -100
service B-ASP Negative
issues O -100
really O -100
weren O -100
' O -100
t O -100
her O -100
fault O -100
, O -100
but O -100
management O -100
for O -100
only O -100
having O -100
one O -100
server O -100
, O -100
that O -100
was O -100
also O -100
acting O -100
as O -100
the O -100
bartender O -100
. O -100
If O -100
I O -100
' O -100
m O -100
in O -100
the O -100
area O -100
and O -100
needing O -100
some O -100
bbq O -100
I O -100
would O -100
definitely O -100
come O -100
here O -100
again O -100
. O -100
Just O -100
a O -100
disappointment O -100
when O -100
I O -100
came O -100
out O -100
of O -100
the O -100
way O -100
for O -100
burnt O -100
ends O -100
that O -100
were O -100
not O -100
great O -100
. O -100

Good O -100
may O -100
have O -100
been O -100
good O -100
if O -100
my O -100
server B-ASP Negative
Megan O -100
T O -100
actually O -100
used O -100
a O -100
pad O -100
and O -100
took O -100
people O -100
' O -100
s O -100
orders O -100
instead O -100
of O -100
guessing O -100
and O -100
just O -100
putting O -100
whatever O -100
she O -100
thought O -100
you O -100
wanted O -100
in O -100
front O -100
of O -100
you O -100
. O -100
Manager O -100
offered O -100
discounts O -100
because O -100
everyone O -100
else O -100
in O -100
my O -100
party O -100
ate O -100
but O -100
me O -100
, O -100
and O -100
still O -100
charged O -100
me O -100
for O -100
bad O -100
food B-ASP -100
. O -100
Stay O -100
away O -100
. O -100
Place O -100
next O -100
door O -100
( O -100
Hennessy O -100
' O -100
s O -100
) O -100
had O -100
great O -100
food O -100
and O -100
specials O -100
. O -100
Thanks O -100
for O -100
charging O -100
me O -100
for O -100
food O -100
I O -100
didn O -100
' O -100
t O -100
eat O -100
and O -100
trying O -100
to O -100
pacify O -100
me O -100
with O -100
discounts O -100
you O -100
never O -100
applied O -100
. O -100
Boo O -100
. O -100
. O -100
. O -100
. O -100
. O -100
boo O -100
. O -100
. O -100
. O -100
. O -100
. O -100
. O -100
on O -100
the O -100
right O -100
side O -100
theTV O -100
' O -100
s O -100
are O -100
in O -100
good O -100
spots O -100
to O -100
watches O -100
you O -100
eat O -100
. O -100
. O -100
. O -100
. O -100
. O -100
well O -100
try O -100
to O -100
eat O -100

Good O -100
may O -100
have O -100
been O -100
good O -100
if O -100
my O -100
server B-ASP -100
Megan O -100
T O -100
actually O -100
used O -100
a O -100
pad O -100
and O -100
took O -100
people O -100
' O -100
s O -100
orders O -100
instead O -100
of O -100
guessing O -100
and O -100
just O -100
putting O -100
whatever O -100
she O -100
thought O -100
you O -100
wanted O -100
in O -100
front O -100
of O -100
you O -100
. O -100
Manager O -100
offered O -100
discounts O -100
because O -100
everyone O -100
else O -100
in O -100
my O -100
party O -100
ate O -100
but O -100
me O -100
, O -100
and O -100
still O -100
charged O -100
me O -100
for O -100
bad O -100
food B-ASP Negative
. O -100
Stay O -100
away O -100
. O -100
Place O -100
next O -100
door O -100
( O -100
Hennessy O -100
' O -100
s O -100
) O -100
had O -100
great O -100
food O -100
and O -100
specials O -100
. O -100
Thanks O -100
for O -100
charging O -100
me O -100
for O -100
food O -100
I O -100
didn O -100
' O -100
t O -100
eat O -100
and O -100
trying O -100
to O -100
pacify O -100
me O -100
with O -100
discounts O -100
you O -100
never O -100
applied O -100
. O -100
Boo O -100
. O -100
. O -100
. O -100
. O -100
. O -100
boo O -100
. O -100
. O -100
. O -100
. O -100
. O -100
. O -100
on O -100
the O -100
right O -100
side O -100
theTV O -100
' O -100
s O -100
are O -100
in O -100
good O -100
spots O -100
to O -100
watches O -100
you O -100
eat O -100
. O -100
. O -100
. O -100
. O -100
. O -100
well O -100
try O -100
to O -100
eat O -100

Came O -100
here O -100
for O -100
a O -100
friends O -100
birthday O -100
and O -100
was O -100
impressed O -100
! O -100
The O -100
service B-ASP Positive
was O -100
wonderful O -100
! O -100
Everyone B-ASP -100
is O -100
so O -100
friendly O -100
and O -100
helpful O -100
, O -100
the O -100
chef B-ASP -100
even O -100
came O -100
over O -100
and O -100
said O -100
hi O -100
. O -100
I O -100
ordered O -100
the O -100
duck B-ASP -100
, O -100
it O -100
was O -100
delicious O -100
, O -100
very O -100
flavorful O -100
! O -100
The O -100
only O -100
complaint O -100
I O -100
had O -100
was O -100
that O -100
it O -100
was O -100
just O -100
duck O -100
, O -100
no O -100
side O -100
. O -100
Although O -100
it O -100
was O -100
good O -100
it O -100
was O -100
a O -100
little O -100
weird O -100
to O -100
eat O -100
just O -100
duck B-ASP -100
for O -100
dinner O -100
. O -100

Came O -100
here O -100
for O -100
a O -100
friends O -100
birthday O -100
and O -100
was O -100
impressed O -100
! O -100
The O -100
service B-ASP -100
was O -100
wonderful O -100
! O -100
Everyone B-ASP Positive
is O -100
so O -100
friendly O -100
and O -100
helpful O -100
, O -100
the O -100
chef B-ASP -100
even O -100
came O -100
over O -100
and O -100
said O -100
hi O -100
. O -100
I O -100
ordered O -100
the O -100
duck B-ASP -100
, O -100
it O -100
was O -100
delicious O -100
, O -100
very O -100
flavorful O -100
! O -100
The O -100
only O -100
complaint O -100
I O -100
had O -100
was O -100
that O -100
it O -100
was O -100
just O -100
duck O -100
, O -100
no O -100
side O -100
. O -100
Although O -100
it O -100
was O -100
good O -100
it O -100
was O -100
a O -100
little O -100
weird O -100
to O -100
eat O -100
just O -100
duck B-ASP -100
for O -100
dinner O -100
. O -100

Came O -100
here O -100
for O -100
a O -100
friends O -100
birthday O -100
and O -100
was O -100
impressed O -100
! O -100
The O -100
service B-ASP -100
was O -100
wonderful O -100
! O -100
Everyone B-ASP -100
is O -100
so O -100
friendly O -100
and O -100
helpful O -100
, O -100
the O -100
chef B-ASP Positive
even O -100
came O -100
over O -100
and O -100
said O -100
hi O -100
. O -100
I O -100
ordered O -100
the O -100
duck B-ASP -100
, O -100
it O -100
was O -100
delicious O -100
, O -100
very O -100
flavorful O -100
! O -100
The O -100
only O -100
complaint O -100
I O -100
had O -100
was O -100
that O -100
it O -100
was O -100
just O -100
duck O -100
, O -100
no O -100
side O -100
. O -100
Although O -100
it O -100
was O -100
good O -100
it O -100
was O -100
a O -100
little O -100
weird O -100
to O -100
eat O -100
just O -100
duck B-ASP -100
for O -100
dinner O -100
. O -100

Came O -100
here O -100
for O -100
a O -100
friends O -100
birthday O -100
and O -100
was O -100
impressed O -100
! O -100
The O -100
service B-ASP -100
was O -100
wonderful O -100
! O -100
Everyone B-ASP -100
is O -100
so O -100
friendly O -100
and O -100
helpful O -100
, O -100
the O -100
chef B-ASP -100
even O -100
came O -100
over O -100
and O -100
said O -100
hi O -100
. O -100
I O -100
ordered O -100
the O -100
duck B-ASP Positive
, O -100
it O -100
was O -100
delicious O -100
, O -100
very O -100
flavorful O -100
! O -100
The O -100
only O -100
complaint O -100
I O -100
had O -100
was O -100
that O -100
it O -100
was O -100
just O -100
duck O -100
, O -100
no O -100
side O -100
. O -100
Although O -100
it O -100
was O -100
good O -100
it O -100
was O -100
a O -100
little O -100
weird O -100
to O -100
eat O -100
just O -100
duck B-ASP -100
for O -100
dinner O -100
. O -100

Came O -100
here O -100
for O -100
a O -100
friends O -100
birthday O -100
and O -100
was O -100
impressed O -100
! O -100
The O -100
service B-ASP -100
was O -100
wonderful O -100
! O -100
Everyone B-ASP -100
is O -100
so O -100
friendly O -100
and O -100
helpful O -100
, O -100
the O -100
chef B-ASP -100
even O -100
came O -100
over O -100
and O -100
said O -100
hi O -100
. O -100
I O -100
ordered O -100
the O -100
duck B-ASP -100
, O -100
it O -100
was O -100
delicious O -100
, O -100
very O -100
flavorful O -100
! O -100
The O -100
only O -100
complaint O -100
I O -100
had O -100
was O -100
that O -100
it O -100
was O -100
just O -100
duck O -100
, O -100
no O -100
side O -100
. O -100
Although O -100
it O -100
was O -100
good O -100
it O -100
was O -100
a O -100
little O -100
weird O -100
to O -100
eat O -100
just O -100
duck B-ASP Neutral
for O -100
dinner O -100
. O -100

I O -100
ate O -100
here O -100
recently O -100
on O -100
the O -100
recommendations O -100
of O -100
some O -100
Muslim O -100
brothers O -100
at O -100
the O -100
Islamic O -100
Society O -100
of O -100
Boston O -100
( O -100
beautiful O -100
masjid O -100
) O -100
. O -100
They O -100
said O -100
it O -100
was O -100
halal O -100
and O -100
the O -100
Arab O -100
owners O -100
confirmed O -100
that O -100
it O -100
was O -100
. O -100
This O -100
is O -100
a O -100
nice O -100
, O -100
downtown O -100
spot O -100
across O -100
the O -100
street O -100
from O -100
the O -100
park O -100
and O -100
right O -100
next O -100
to O -100
the O -100
Park O -100
Street O -100
subway O -100
station O -100
. O -100
We O -100
enjoyed O -100
the O -100
chicken O -100
kabob B-ASP Positive
and O -100
baked O -100
haddock O -100
dinners O -100
, O -100
which O -100
both O -100
came O -100
with O -100
rice O -100
and O -100
salad O -100
. O -100
Very O -100
enjoyable O -100
, O -100
hot O -100
and O -100
fresh O -100
food B-ASP -100
. O -100
When O -100
I O -100
went O -100
to O -100
buy O -100
some O -100
rice O -100
pudding O -100
for O -100
dessert O -100
, O -100
the O -100
owner B-ASP -100
gave O -100
it O -100
to O -100
us O -100
for O -100
free O -100
. O -100
What O -100
a O -100
nice O -100
touch O -100
. O -100
InshaAllah O -100
my O -100
wife O -100
and O -100
I O -100
will O -100
return O -100
soon O -100
. O -100

I O -100
ate O -100
here O -100
recently O -100
on O -100
the O -100
recommendations O -100
of O -100
some O -100
Muslim O -100
brothers O -100
at O -100
the O -100
Islamic O -100
Society O -100
of O -100
Boston O -100
( O -100
beautiful O -100
masjid O -100
) O -100
. O -100
They O -100
said O -100
it O -100
was O -100
halal O -100
and O -100
the O -100
Arab O -100
owners O -100
confirmed O -100
that O -100
it O -100
was O -100
. O -100
This O -100
is O -100
a O -100
nice O -100
, O -100
downtown O -100
spot O -100
across O -100
the O -100
street O -100
from O -100
the O -100
park O -100
and O -100
right O -100
next O -100
to O -100
the O -100
Park O -100
Street O -100
subway O -100
station O -100
. O -100
We O -100
enjoyed O -100
the O -100
chicken O -100
kabob B-ASP -100
and O -100
baked O -100
haddock O -100
dinners O -100
, O -100
which O -100
both O -100
came O -100
with O -100
rice O -100
and O -100
salad O -100
. O -100
Very O -100
enjoyable O -100
, O -100
hot O -100
and O -100
fresh O -100
food B-ASP Positive
. O -100
When O -100
I O -100
went O -100
to O -100
buy O -100
some O -100
rice O -100
pudding O -100
for O -100
dessert O -100
, O -100
the O -100
owner B-ASP -100
gave O -100
it O -100
to O -100
us O -100
for O -100
free O -100
. O -100
What O -100
a O -100
nice O -100
touch O -100
. O -100
InshaAllah O -100
my O -100
wife O -100
and O -100
I O -100
will O -100
return O -100
soon O -100
. O -100

I O -100
ate O -100
here O -100
recently O -100
on O -100
the O -100
recommendations O -100
of O -100
some O -100
Muslim O -100
brothers O -100
at O -100
the O -100
Islamic O -100
Society O -100
of O -100
Boston O -100
( O -100
beautiful O -100
masjid O -100
) O -100
. O -100
They O -100
said O -100
it O -100
was O -100
halal O -100
and O -100
the O -100
Arab O -100
owners O -100
confirmed O -100
that O -100
it O -100
was O -100
. O -100
This O -100
is O -100
a O -100
nice O -100
, O -100
downtown O -100
spot O -100
across O -100
the O -100
street O -100
from O -100
the O -100
park O -100
and O -100
right O -100
next O -100
to O -100
the O -100
Park O -100
Street O -100
subway O -100
station O -100
. O -100
We O -100
enjoyed O -100
the O -100
chicken O -100
kabob B-ASP -100
and O -100
baked O -100
haddock O -100
dinners O -100
, O -100
which O -100
both O -100
came O -100
with O -100
rice O -100
and O -100
salad O -100
. O -100
Very O -100
enjoyable O -100
, O -100
hot O -100
and O -100
fresh O -100
food B-ASP -100
. O -100
When O -100
I O -100
went O -100
to O -100
buy O -100
some O -100
rice O -100
pudding O -100
for O -100
dessert O -100
, O -100
the O -100
owner B-ASP Positive
gave O -100
it O -100
to O -100
us O -100
for O -100
free O -100
. O -100
What O -100
a O -100
nice O -100
touch O -100
. O -100
InshaAllah O -100
my O -100
wife O -100
and O -100
I O -100
will O -100
return O -100
soon O -100
. O -100

Soooo O -100
good O -100
! O -100
Amazing O -100
biscuits B-ASP Positive
, O -100
awesome O -100
jelly O -100
and O -100
perfect O -100
for O -100
a O -100
quick O -100
breakfast O -100
. O -100
I O -100
' O -100
ll O -100
try O -100
the O -100
donuts O -100
next O -100
time O -100
. O -100
The O -100
biscuits O -100
are O -100
large O -100
, O -100
thick O -100
and O -100
not O -100
too O -100
salty O -100
. O -100
Up O -100
there O -100
on O -100
the O -100
best O -100
biscuit O -100
list O -100
in O -100
Austin O -100
. O -100

So O -100
I O -100
tried O -100
calling O -100
multiple O -100
times O -100
because O -100
the O -100
parking O -100
deck O -100
says O -100
30 O -100
min O -100
free O -100
while O -100
the O -100
website O -100
says O -100
1 O -100
hour O -100
. O -100
Finally O -100
someone O -100
picks O -100
up O -100
but O -100
he O -100
was O -100
unable O -100
to O -100
answer O -100
my O -100
question O -100
to O -100
why O -100
the O -100
difference O -100
for O -100
prices O -100
. O -100
He O -100
proceeded O -100
to O -100
tell O -100
me O -100
to O -100
hang O -100
on O -100
and O -100
then O -100
hangs O -100
up O -100
. O -100
So O -100
I O -100
just O -100
go O -100
inside O -100
and O -100
the O -100
manager O -100
says O -100
they O -100
give O -100
us O -100
a O -100
voucher O -100
for O -100
the O -100
free O -100
hour O -100
. O -100
The O -100
waiter B-ASP Negative
was O -100
not O -100
very O -100
attentive O -100
. O -100
He O -100
didn O -100
' O -100
t O -100
check O -100
on O -100
us O -100
much O -100
. O -100
The O -100
service O -100
at O -100
the O -100
Johns O -100
Creek O -100
location O -100
is O -100
much O -100
better O -100
. O -100
However O -100
, O -100
I O -100
will O -100
say O -100
the O -100
drinks B-ASP -100
were O -100
great O -100
and O -100
very O -100
strong O -100

So O -100
I O -100
tried O -100
calling O -100
multiple O -100
times O -100
because O -100
the O -100
parking O -100
deck O -100
says O -100
30 O -100
min O -100
free O -100
while O -100
the O -100
website O -100
says O -100
1 O -100
hour O -100
. O -100
Finally O -100
someone O -100
picks O -100
up O -100
but O -100
he O -100
was O -100
unable O -100
to O -100
answer O -100
my O -100
question O -100
to O -100
why O -100
the O -100
difference O -100
for O -100
prices O -100
. O -100
He O -100
proceeded O -100
to O -100
tell O -100
me O -100
to O -100
hang O -100
on O -100
and O -100
then O -100
hangs O -100
up O -100
. O -100
So O -100
I O -100
just O -100
go O -100
inside O -100
and O -100
the O -100
manager O -100
says O -100
they O -100
give O -100
us O -100
a O -100
voucher O -100
for O -100
the O -100
free O -100
hour O -100
. O -100
The O -100
waiter B-ASP -100
was O -100
not O -100
very O -100
attentive O -100
. O -100
He O -100
didn O -100
' O -100
t O -100
check O -100
on O -100
us O -100
much O -100
. O -100
The O -100
service O -100
at O -100
the O -100
Johns O -100
Creek O -100
location O -100
is O -100
much O -100
better O -100
. O -100
However O -100
, O -100
I O -100
will O -100
say O -100
the O -100
drinks B-ASP Positive
were O -100
great O -100
and O -100
very O -100
strong O -100

Great O -100
place O -100
. O -100
. O -100
. O -100
delicious O -100
tapas B-ASP Positive
and O -100
very O -100
nice O -100
wine B-ASP -100
list O -100
. O -100
. O -100
. O -100
I O -100
didnt O -100
try O -100
any O -100
of O -100
the O -100
specialty O -100
cocktails O -100
but O -100
I O -100
' O -100
ll O -100
in O -100
my O -100
next O -100
visit O -100
! O -100

Great O -100
place O -100
. O -100
. O -100
. O -100
delicious O -100
tapas B-ASP -100
and O -100
very O -100
nice O -100
wine B-ASP Positive
list O -100
. O -100
. O -100
. O -100
I O -100
didnt O -100
try O -100
any O -100
of O -100
the O -100
specialty O -100
cocktails O -100
but O -100
I O -100
' O -100
ll O -100
in O -100
my O -100
next O -100
visit O -100
! O -100

This O -100
is O -100
my O -100
new O -100
spot O -100
for O -100
a O -100
good O -100
burger O -100
. O -100
Drew O -100
and O -100
I O -100
visited O -100
this O -100
restaurant O -100
on O -100
Friday O -100
, O -100
July O -100
11th O -100
. O -100
Initially O -100
, O -100
we O -100
went O -100
there O -100
to O -100
get O -100
a O -100
special O -100
milkshake O -100
. O -100
They O -100
serve O -100
shakes O -100
with O -100
a O -100
little O -100
alcohol O -100
. O -100
Yes O -100
, O -100
a O -100
little O -100
alcohol O -100
. O -100
The O -100
decor O -100
at O -100
Grub O -100
Burger O -100
is O -100
modern O -100
. O -100
Sleek O -100
. O -100
We O -100
were O -100
confused O -100
at O -100
first O -100
when O -100
we O -100
arrived O -100
, O -100
but O -100
a O -100
server B-ASP Positive
came O -100
up O -100
and O -100
explained O -100
for O -100
us O -100
to O -100
take O -100
a O -100
menu O -100
and O -100
order O -100
in O -100
the O -100
back O -100
. O -100
Drew O -100
and O -100
I O -100
shared O -100
The O -100
Front O -100
Porch O -100
burger B-ASP -100
( O -100
just O -100
a O -100
regular O -100
burger O -100
with O -100
lettuce O -100
, O -100
tomato O -100
, O -100
onion O -100
, O -100
etc O -100
. O -100
) O -100
cooked O -100
medium O -100
well O -100
, O -100
onion O -100
ring O -100
and O -100
a O -100
Java O -100
Jitters O -100
spiked O -100
milkshake O -100
. O -100
The O -100
Front O -100
Porch O -100
Burger B-ASP -100
was O -100
delicious O -100
. O -100
The O -100
meat O -100
was O -100
fresh O -100
and O -100
tasted O -100
like O -100
a O -100
burger O -100
should O -100
taste O -100
. O -100
They O -100
advertise O -100
on O -100
their O -100
menu O -100
that O -100
the O -100
hamburger O -100
is O -100
actually O -100
brisket O -100
and O -100
ground O -100
chuck O -100
. O -100
I O -100
loved O -100
the O -100
bun O -100
. O -100
The O -100
Java O -100
Jitters O -100
milkshake O -100
was O -100
too O -100
sweet O -100
and O -100
I O -100
really O -100
did O -100
not O -100
like O -100
the O -100
big O -100
straw O -100
. O -100
Also O -100
, O -100
there O -100
is O -100
very O -100
little O -100
alcohol O -100
. O -100
i O -100
prefer O -100
Grindhouse O -100
milkshakes O -100
instead O -100
. O -100
The O -100
onion O -100
rings O -100
lacked O -100
seasoning O -100
. O -100
Very O -100
bland O -100
. O -100
They O -100
had O -100
other O -100
menu O -100
items O -100
that O -100
is O -100
different O -100
from O -100
other O -100
burger O -100
joints O -100
like O -100
Burgers O -100
That O -100
Don O -100
' O -100
t O -100
Moo O -100
, O -100
crawfish O -100
pistolettes O -100
and O -100
they O -100
have O -100
an O -100
array O -100
of O -100
signature O -100
drinks O -100
. O -100
Overall O -100
, O -100
I O -100
' O -100
ll O -100
be O -100
back O -100
and O -100
would O -100
recommend O -100
this O -100
restaurant O -100
. O -100

This O -100
is O -100
my O -100
new O -100
spot O -100
for O -100
a O -100
good O -100
burger O -100
. O -100
Drew O -100
and O -100
I O -100
visited O -100
this O -100
restaurant O -100
on O -100
Friday O -100
, O -100
July O -100
11th O -100
. O -100
Initially O -100
, O -100
we O -100
went O -100
there O -100
to O -100
get O -100
a O -100
special O -100
milkshake O -100
. O -100
They O -100
serve O -100
shakes O -100
with O -100
a O -100
little O -100
alcohol O -100
. O -100
Yes O -100
, O -100
a O -100
little O -100
alcohol O -100
. O -100
The O -100
decor O -100
at O -100
Grub O -100
Burger O -100
is O -100
modern O -100
. O -100
Sleek O -100
. O -100
We O -100
were O -100
confused O -100
at O -100
first O -100
when O -100
we O -100
arrived O -100
, O -100
but O -100
a O -100
server B-ASP -100
came O -100
up O -100
and O -100
explained O -100
for O -100
us O -100
to O -100
take O -100
a O -100
menu O -100
and O -100
order O -100
in O -100
the O -100
back O -100
. O -100
Drew O -100
and O -100
I O -100
shared O -100
The O -100
Front O -100
Porch O -100
burger B-ASP Neutral
( O -100
just O -100
a O -100
regular O -100
burger O -100
with O -100
lettuce O -100
, O -100
tomato O -100
, O -100
onion O -100
, O -100
etc O -100
. O -100
) O -100
cooked O -100
medium O -100
well O -100
, O -100
onion O -100
ring O -100
and O -100
a O -100
Java O -100
Jitters O -100
spiked O -100
milkshake O -100
. O -100
The O -100
Front O -100
Porch O -100
Burger B-ASP -100
was O -100
delicious O -100
. O -100
The O -100
meat O -100
was O -100
fresh O -100
and O -100
tasted O -100
like O -100
a O -100
burger O -100
should O -100
taste O -100
. O -100
They O -100
advertise O -100
on O -100
their O -100
menu O -100
that O -100
the O -100
hamburger O -100
is O -100
actually O -100
brisket O -100
and O -100
ground O -100
chuck O -100
. O -100
I O -100
loved O -100
the O -100
bun O -100
. O -100
The O -100
Java O -100
Jitters O -100
milkshake O -100
was O -100
too O -100
sweet O -100
and O -100
I O -100
really O -100
did O -100
not O -100
like O -100
the O -100
big O -100
straw O -100
. O -100
Also O -100
, O -100
there O -100
is O -100
very O -100
little O -100
alcohol O -100
. O -100
i O -100
prefer O -100
Grindhouse O -100
milkshakes O -100
instead O -100
. O -100
The O -100
onion O -100
rings O -100
lacked O -100
seasoning O -100
. O -100
Very O -100
bland O -100
. O -100
They O -100
had O -100
other O -100
menu O -100
items O -100
that O -100
is O -100
different O -100
from O -100
other O -100
burger O -100
joints O -100
like O -100
Burgers O -100
That O -100
Don O -100
' O -100
t O -100
Moo O -100
, O -100
crawfish O -100
pistolettes O -100
and O -100
they O -100
have O -100
an O -100
array O -100
of O -100
signature O -100
drinks O -100
. O -100
Overall O -100
, O -100
I O -100
' O -100
ll O -100
be O -100
back O -100
and O -100
would O -100
recommend O -100
this O -100
restaurant O -100
. O -100

This O -100
is O -100
my O -100
new O -100
spot O -100
for O -100
a O -100
good O -100
burger O -100
. O -100
Drew O -100
and O -100
I O -100
visited O -100
this O -100
restaurant O -100
on O -100
Friday O -100
, O -100
July O -100
11th O -100
. O -100
Initially O -100
, O -100
we O -100
went O -100
there O -100
to O -100
get O -100
a O -100
special O -100
milkshake O -100
. O -100
They O -100
serve O -100
shakes O -100
with O -100
a O -100
little O -100
alcohol O -100
. O -100
Yes O -100
, O -100
a O -100
little O -100
alcohol O -100
. O -100
The O -100
decor O -100
at O -100
Grub O -100
Burger O -100
is O -100
modern O -100
. O -100
Sleek O -100
. O -100
We O -100
were O -100
confused O -100
at O -100
first O -100
when O -100
we O -100
arrived O -100
, O -100
but O -100
a O -100
server B-ASP -100
came O -100
up O -100
and O -100
explained O -100
for O -100
us O -100
to O -100
take O -100
a O -100
menu O -100
and O -100
order O -100
in O -100
the O -100
back O -100
. O -100
Drew O -100
and O -100
I O -100
shared O -100
The O -100
Front O -100
Porch O -100
burger B-ASP -100
( O -100
just O -100
a O -100
regular O -100
burger O -100
with O -100
lettuce O -100
, O -100
tomato O -100
, O -100
onion O -100
, O -100
etc O -100
. O -100
) O -100
cooked O -100
medium O -100
well O -100
, O -100
onion O -100
ring O -100
and O -100
a O -100
Java O -100
Jitters O -100
spiked O -100
milkshake O -100
. O -100
The O -100
Front O -100
Porch O -100
Burger B-ASP Positive
was O -100
delicious O -100
. O -100
The O -100
meat O -100
was O -100
fresh O -100
and O -100
tasted O -100
like O -100
a O -100
burger O -100
should O -100
taste O -100
. O -100
They O -100
advertise O -100
on O -100
their O -100
menu O -100
that O -100
the O -100
hamburger O -100
is O -100
actually O -100
brisket O -100
and O -100
ground O -100
chuck O -100
. O -100
I O -100
loved O -100
the O -100
bun O -100
. O -100
The O -100
Java O -100
Jitters O -100
milkshake O -100
was O -100
too O -100
sweet O -100
and O -100
I O -100
really O -100
did O -100
not O -100
like O -100
the O -100
big O -100
straw O -100
. O -100
Also O -100
, O -100
there O -100
is O -100
very O -100
little O -100
alcohol O -100
. O -100
i O -100
prefer O -100
Grindhouse O -100
milkshakes O -100
instead O -100
. O -100
The O -100
onion O -100
rings O -100
lacked O -100
seasoning O -100
. O -100
Very O -100
bland O -100
. O -100
They O -100
had O -100
other O -100
menu O -100
items O -100
that O -100
is O -100
different O -100
from O -100
other O -100
burger O -100
joints O -100
like O -100
Burgers O -100
That O -100
Don O -100
' O -100
t O -100
Moo O -100
, O -100
crawfish O -100
pistolettes O -100
and O -100
they O -100
have O -100
an O -100
array O -100
of O -100
signature O -100
drinks O -100
. O -100
Overall O -100
, O -100
I O -100
' O -100
ll O -100
be O -100
back O -100
and O -100
would O -100
recommend O -100
this O -100
restaurant O -100
. O -100

I O -100
am O -100
in O -100
Atlanta O -100
on O -100
business O -100
, O -100
and O -100
one O -100
of O -100
my O -100
coworkers O -100
said O -100
he O -100
knows O -100
someone O -100
who O -100
owns O -100
an O -100
Italian O -100
joint O -100
, O -100
so O -100
this O -100
is O -100
where O -100
we O -100
ended O -100
up O -100
. O -100
I O -100
had O -100
no O -100
expectations O -100
whatsoever O -100
. O -100
Never O -100
heard O -100
of O -100
the O -100
place O -100
, O -100
never O -100
even O -100
been O -100
in O -100
the O -100
area O -100
before O -100
. O -100
Yes O -100
, O -100
the O -100
food O -100
was O -100
somewhat O -100
pricey O -100
. O -100
Everything B-ASP Positive
we O -100
had O -100
was O -100
great O -100
. O -100
And O -100
for O -100
the O -100
decor B-ASP -100
, O -100
some O -100
say O -100
tacky O -100
, O -100
but O -100
this O -100
is O -100
part O -100
of O -100
what O -100
makes O -100
this O -100
place O -100
special O -100
. O -100
I O -100
stepped O -100
outside O -100
with O -100
my O -100
coffee O -100
to O -100
catch O -100
a O -100
quick O -100
smoke O -100
, O -100
and O -100
when O -100
I O -100
re O -100
entered O -100
the O -100
restaurant O -100
, O -100
there O -100
was O -100
fog O -100
, O -100
colored O -100
lights O -100
, O -100
a O -100
variety O -100
of O -100
hats O -100
came O -100
off O -100
the O -100
walls O -100
onto O -100
children O -100
' O -100
s O -100
heads O -100
, O -100
and O -100
some O -100
faster O -100
faced O -100
music B-ASP -100
was O -100
pumping O -100
. O -100
Again O -100
, O -100
this O -100
is O -100
what O -100
makes O -100
this O -100
restaurant O -100
unique O -100
. O -100
All O -100
in O -100
all O -100
, O -100
I O -100
liked O -100
this O -100
place O -100
. O -100
Has O -100
some O -100
character O -100
and O -100
if O -100
I O -100
visit O -100
the O -100
area O -100
again O -100
with O -100
a O -100
craving O -100
for O -100
Italian O -100
, O -100
I O -100
will O -100
try O -100
to O -100
revisit O -100
. O -100

I O -100
am O -100
in O -100
Atlanta O -100
on O -100
business O -100
, O -100
and O -100
one O -100
of O -100
my O -100
coworkers O -100
said O -100
he O -100
knows O -100
someone O -100
who O -100
owns O -100
an O -100
Italian O -100
joint O -100
, O -100
so O -100
this O -100
is O -100
where O -100
we O -100
ended O -100
up O -100
. O -100
I O -100
had O -100
no O -100
expectations O -100
whatsoever O -100
. O -100
Never O -100
heard O -100
of O -100
the O -100
place O -100
, O -100
never O -100
even O -100
been O -100
in O -100
the O -100
area O -100
before O -100
. O -100
Yes O -100
, O -100
the O -100
food O -100
was O -100
somewhat O -100
pricey O -100
. O -100
Everything B-ASP -100
we O -100
had O -100
was O -100
great O -100
. O -100
And O -100
for O -100
the O -100
decor B-ASP Positive
, O -100
some O -100
say O -100
tacky O -100
, O -100
but O -100
this O -100
is O -100
part O -100
of O -100
what O -100
makes O -100
this O -100
place O -100
special O -100
. O -100
I O -100
stepped O -100
outside O -100
with O -100
my O -100
coffee O -100
to O -100
catch O -100
a O -100
quick O -100
smoke O -100
, O -100
and O -100
when O -100
I O -100
re O -100
entered O -100
the O -100
restaurant O -100
, O -100
there O -100
was O -100
fog O -100
, O -100
colored O -100
lights O -100
, O -100
a O -100
variety O -100
of O -100
hats O -100
came O -100
off O -100
the O -100
walls O -100
onto O -100
children O -100
' O -100
s O -100
heads O -100
, O -100
and O -100
some O -100
faster O -100
faced O -100
music B-ASP -100
was O -100
pumping O -100
. O -100
Again O -100
, O -100
this O -100
is O -100
what O -100
makes O -100
this O -100
restaurant O -100
unique O -100
. O -100
All O -100
in O -100
all O -100
, O -100
I O -100
liked O -100
this O -100
place O -100
. O -100
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some O -100
character O -100
and O -100
if O -100
I O -100
visit O -100
the O -100
area O -100
again O -100
with O -100
a O -100
craving O -100
for O -100
Italian O -100
, O -100
I O -100
will O -100
try O -100
to O -100
revisit O -100
. O -100

I O -100
am O -100
in O -100
Atlanta O -100
on O -100
business O -100
, O -100
and O -100
one O -100
of O -100
my O -100
coworkers O -100
said O -100
he O -100
knows O -100
someone O -100
who O -100
owns O -100
an O -100
Italian O -100
joint O -100
, O -100
so O -100
this O -100
is O -100
where O -100
we O -100
ended O -100
up O -100
. O -100
I O -100
had O -100
no O -100
expectations O -100
whatsoever O -100
. O -100
Never O -100
heard O -100
of O -100
the O -100
place O -100
, O -100
never O -100
even O -100
been O -100
in O -100
the O -100
area O -100
before O -100
. O -100
Yes O -100
, O -100
the O -100
food O -100
was O -100
somewhat O -100
pricey O -100
. O -100
Everything B-ASP -100
we O -100
had O -100
was O -100
great O -100
. O -100
And O -100
for O -100
the O -100
decor B-ASP -100
, O -100
some O -100
say O -100
tacky O -100
, O -100
but O -100
this O -100
is O -100
part O -100
of O -100
what O -100
makes O -100
this O -100
place O -100
special O -100
. O -100
I O -100
stepped O -100
outside O -100
with O -100
my O -100
coffee O -100
to O -100
catch O -100
a O -100
quick O -100
smoke O -100
, O -100
and O -100
when O -100
I O -100
re O -100
entered O -100
the O -100
restaurant O -100
, O -100
there O -100
was O -100
fog O -100
, O -100
colored O -100
lights O -100
, O -100
a O -100
variety O -100
of O -100
hats O -100
came O -100
off O -100
the O -100
walls O -100
onto O -100
children O -100
' O -100
s O -100
heads O -100
, O -100
and O -100
some O -100
faster O -100
faced O -100
music B-ASP Positive
was O -100
pumping O -100
. O -100
Again O -100
, O -100
this O -100
is O -100
what O -100
makes O -100
this O -100
restaurant O -100
unique O -100
. O -100
All O -100
in O -100
all O -100
, O -100
I O -100
liked O -100
this O -100
place O -100
. O -100
Has O -100
some O -100
character O -100
and O -100
if O -100
I O -100
visit O -100
the O -100
area O -100
again O -100
with O -100
a O -100
craving O -100
for O -100
Italian O -100
, O -100
I O -100
will O -100
try O -100
to O -100
revisit O -100
. O -100

We O -100
were O -100
seated B-ASP Negative
immediately O -100
but O -100
unfortunately O -100
in O -100
the O -100
front O -100
booth O -100
in O -100
the O -100
bar O -100
. O -100
I O -100
am O -100
sure O -100
others O -100
may O -100
find O -100
this O -100
a O -100
good O -100
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but O -100
we O -100
did O -100
not O -100
. O -100
It O -100
was O -100
so O -100
loud O -100
from O -100
the O -100
children O -100
in O -100
the O -100
waiting B-ASP -100
area I-ASP -100
, O -100
the O -100
bartenders B-ASP -100
behind O -100
the O -100
bar O -100
talking O -100
at O -100
an O -100
extremely O -100
high O -100
level O -100
, O -100
the O -100
waitstaff O -100
grabbing O -100
sliverware O -100
while O -100
continuing O -100
to O -100
talk O -100
to O -100
those O -100
back O -100
at O -100
the O -100
podium O -100
, O -100
and O -100
other O -100
waitstaff O -100
conversation O -100
( O -100
including O -100
a O -100
high O -100
five O -100
session O -100
) O -100
. O -100
We O -100
could O -100
not O -100
hear O -100
or O -100
have O -100
our O -100
own O -100
conversation O -100
. O -100
The O -100
food O -100
. O -100
Well O -100
it O -100
is O -100
what O -100
it O -100
is O -100
, O -100
whoch O -100
is O -100
why O -100
I O -100
don O -100
' O -100
t O -100
regularly O -100
go O -100
to O -100
the O -100
OG O -100
and O -100
don O -100
' O -100
t O -100
expect O -100
too O -100
much O -100
, O -100
they O -100
didn O -100
' O -100
t O -100
improve O -100
on O -100
my O -100
opinion O -100
. O -100
We O -100
ordered O -100
two O -100
never O -100
ending O -100
bowl O -100
, O -100
one O -100
with O -100
chicken O -100
( O -100
highly O -100
over O -100
priced O -100
at O -100
$ O -100
4 O -100
) O -100
. O -100
Had O -100
two O -100
refills O -100
. O -100
On O -100
all O -100
dishes B-ASP -100
there O -100
was O -100
very O -100
little O -100
sauce O -100
. O -100
The O -100
new O -100
Mushroom O -100
sauce O -100
had O -100
no O -100
flavor O -100
and O -100
5 O -100
small O -100
mushroom O -100
pieces O -100
( O -100
nothing O -100
like O -100
the O -100
advertisements O -100
) O -100
. O -100
On O -100
the O -100
second O -100
refill O -100
with O -100
chicken O -100
, O -100
the O -100
chicken O -100
had O -100
clearly O -100
been O -100
placed O -100
on O -100
another O -100
plate O -100
, O -100
one O -100
with O -100
red O -100
sauce O -100
, O -100
removed O -100
and O -100
placed O -100
( O -100
red O -100
sauce O -100
and O -100
all O -100
) O -100
on O -100
to O -100
the O -100
bowl O -100
with O -100
white O -100
sauce O -100
. O -100

We O -100
were O -100
seated B-ASP -100
immediately O -100
but O -100
unfortunately O -100
in O -100
the O -100
front O -100
booth O -100
in O -100
the O -100
bar O -100
. O -100
I O -100
am O -100
sure O -100
others O -100
may O -100
find O -100
this O -100
a O -100
good O -100
spot O -100
but O -100
we O -100
did O -100
not O -100
. O -100
It O -100
was O -100
so O -100
loud O -100
from O -100
the O -100
children O -100
in O -100
the O -100
waiting B-ASP Negative
area I-ASP Negative
, O -100
the O -100
bartenders B-ASP -100
behind O -100
the O -100
bar O -100
talking O -100
at O -100
an O -100
extremely O -100
high O -100
level O -100
, O -100
the O -100
waitstaff O -100
grabbing O -100
sliverware O -100
while O -100
continuing O -100
to O -100
talk O -100
to O -100
those O -100
back O -100
at O -100
the O -100
podium O -100
, O -100
and O -100
other O -100
waitstaff O -100
conversation O -100
( O -100
including O -100
a O -100
high O -100
five O -100
session O -100
) O -100
. O -100
We O -100
could O -100
not O -100
hear O -100
or O -100
have O -100
our O -100
own O -100
conversation O -100
. O -100
The O -100
food O -100
. O -100
Well O -100
it O -100
is O -100
what O -100
it O -100
is O -100
, O -100
whoch O -100
is O -100
why O -100
I O -100
don O -100
' O -100
t O -100
regularly O -100
go O -100
to O -100
the O -100
OG O -100
and O -100
don O -100
' O -100
t O -100
expect O -100
too O -100
much O -100
, O -100
they O -100
didn O -100
' O -100
t O -100
improve O -100
on O -100
my O -100
opinion O -100
. O -100
We O -100
ordered O -100
two O -100
never O -100
ending O -100
bowl O -100
, O -100
one O -100
with O -100
chicken O -100
( O -100
highly O -100
over O -100
priced O -100
at O -100
$ O -100
4 O -100
) O -100
. O -100
Had O -100
two O -100
refills O -100
. O -100
On O -100
all O -100
dishes B-ASP -100
there O -100
was O -100
very O -100
little O -100
sauce O -100
. O -100
The O -100
new O -100
Mushroom O -100
sauce O -100
had O -100
no O -100
flavor O -100
and O -100
5 O -100
small O -100
mushroom O -100
pieces O -100
( O -100
nothing O -100
like O -100
the O -100
advertisements O -100
) O -100
. O -100
On O -100
the O -100
second O -100
refill O -100
with O -100
chicken O -100
, O -100
the O -100
chicken O -100
had O -100
clearly O -100
been O -100
placed O -100
on O -100
another O -100
plate O -100
, O -100
one O -100
with O -100
red O -100
sauce O -100
, O -100
removed O -100
and O -100
placed O -100
( O -100
red O -100
sauce O -100
and O -100
all O -100
) O -100
on O -100
to O -100
the O -100
bowl O -100
with O -100
white O -100
sauce O -100
. O -100

We O -100
were O -100
seated B-ASP -100
immediately O -100
but O -100
unfortunately O -100
in O -100
the O -100
front O -100
booth O -100
in O -100
the O -100
bar O -100
. O -100
I O -100
am O -100
sure O -100
others O -100
may O -100
find O -100
this O -100
a O -100
good O -100
spot O -100
but O -100
we O -100
did O -100
not O -100
. O -100
It O -100
was O -100
so O -100
loud O -100
from O -100
the O -100
children O -100
in O -100
the O -100
waiting B-ASP -100
area I-ASP -100
, O -100
the O -100
bartenders B-ASP Negative
behind O -100
the O -100
bar O -100
talking O -100
at O -100
an O -100
extremely O -100
high O -100
level O -100
, O -100
the O -100
waitstaff O -100
grabbing O -100
sliverware O -100
while O -100
continuing O -100
to O -100
talk O -100
to O -100
those O -100
back O -100
at O -100
the O -100
podium O -100
, O -100
and O -100
other O -100
waitstaff O -100
conversation O -100
( O -100
including O -100
a O -100
high O -100
five O -100
session O -100
) O -100
. O -100
We O -100
could O -100
not O -100
hear O -100
or O -100
have O -100
our O -100
own O -100
conversation O -100
. O -100
The O -100
food O -100
. O -100
Well O -100
it O -100
is O -100
what O -100
it O -100
is O -100
, O -100
whoch O -100
is O -100
why O -100
I O -100
don O -100
' O -100
t O -100
regularly O -100
go O -100
to O -100
the O -100
OG O -100
and O -100
don O -100
' O -100
t O -100
expect O -100
too O -100
much O -100
, O -100
they O -100
didn O -100
' O -100
t O -100
improve O -100
on O -100
my O -100
opinion O -100
. O -100
We O -100
ordered O -100
two O -100
never O -100
ending O -100
bowl O -100
, O -100
one O -100
with O -100
chicken O -100
( O -100
highly O -100
over O -100
priced O -100
at O -100
$ O -100
4 O -100
) O -100
. O -100
Had O -100
two O -100
refills O -100
. O -100
On O -100
all O -100
dishes B-ASP -100
there O -100
was O -100
very O -100
little O -100
sauce O -100
. O -100
The O -100
new O -100
Mushroom O -100
sauce O -100
had O -100
no O -100
flavor O -100
and O -100
5 O -100
small O -100
mushroom O -100
pieces O -100
( O -100
nothing O -100
like O -100
the O -100
advertisements O -100
) O -100
. O -100
On O -100
the O -100
second O -100
refill O -100
with O -100
chicken O -100
, O -100
the O -100
chicken O -100
had O -100
clearly O -100
been O -100
placed O -100
on O -100
another O -100
plate O -100
, O -100
one O -100
with O -100
red O -100
sauce O -100
, O -100
removed O -100
and O -100
placed O -100
( O -100
red O -100
sauce O -100
and O -100
all O -100
) O -100
on O -100
to O -100
the O -100
bowl O -100
with O -100
white O -100
sauce O -100
. O -100

We O -100
were O -100
seated B-ASP -100
immediately O -100
but O -100
unfortunately O -100
in O -100
the O -100
front O -100
booth O -100
in O -100
the O -100
bar O -100
. O -100
I O -100
am O -100
sure O -100
others O -100
may O -100
find O -100
this O -100
a O -100
good O -100
spot O -100
but O -100
we O -100
did O -100
not O -100
. O -100
It O -100
was O -100
so O -100
loud O -100
from O -100
the O -100
children O -100
in O -100
the O -100
waiting B-ASP -100
area I-ASP -100
, O -100
the O -100
bartenders B-ASP -100
behind O -100
the O -100
bar O -100
talking O -100
at O -100
an O -100
extremely O -100
high O -100
level O -100
, O -100
the O -100
waitstaff O -100
grabbing O -100
sliverware O -100
while O -100
continuing O -100
to O -100
talk O -100
to O -100
those O -100
back O -100
at O -100
the O -100
podium O -100
, O -100
and O -100
other O -100
waitstaff O -100
conversation O -100
( O -100
including O -100
a O -100
high O -100
five O -100
session O -100
) O -100
. O -100
We O -100
could O -100
not O -100
hear O -100
or O -100
have O -100
our O -100
own O -100
conversation O -100
. O -100
The O -100
food O -100
. O -100
Well O -100
it O -100
is O -100
what O -100
it O -100
is O -100
, O -100
whoch O -100
is O -100
why O -100
I O -100
don O -100
' O -100
t O -100
regularly O -100
go O -100
to O -100
the O -100
OG O -100
and O -100
don O -100
' O -100
t O -100
expect O -100
too O -100
much O -100
, O -100
they O -100
didn O -100
' O -100
t O -100
improve O -100
on O -100
my O -100
opinion O -100
. O -100
We O -100
ordered O -100
two O -100
never O -100
ending O -100
bowl O -100
, O -100
one O -100
with O -100
chicken O -100
( O -100
highly O -100
over O -100
priced O -100
at O -100
$ O -100
4 O -100
) O -100
. O -100
Had O -100
two O -100
refills O -100
. O -100
On O -100
all O -100
dishes B-ASP Negative
there O -100
was O -100
very O -100
little O -100
sauce O -100
. O -100
The O -100
new O -100
Mushroom O -100
sauce O -100
had O -100
no O -100
flavor O -100
and O -100
5 O -100
small O -100
mushroom O -100
pieces O -100
( O -100
nothing O -100
like O -100
the O -100
advertisements O -100
) O -100
. O -100
On O -100
the O -100
second O -100
refill O -100
with O -100
chicken O -100
, O -100
the O -100
chicken O -100
had O -100
clearly O -100
been O -100
placed O -100
on O -100
another O -100
plate O -100
, O -100
one O -100
with O -100
red O -100
sauce O -100
, O -100
removed O -100
and O -100
placed O -100
( O -100
red O -100
sauce O -100
and O -100
all O -100
) O -100
on O -100
to O -100
the O -100
bowl O -100
with O -100
white O -100
sauce O -100
. O -100

This O -100
place O -100
really O -100
hits O -100
the O -100
spot O -100
after O -100
a O -100
long O -100
day O -100
of O -100
shopping O -100
on O -100
Newbury O -100
st O -100
. O -100
I O -100
finally O -100
get O -100
to O -100
sit O -100
down O -100
after O -100
walking O -100
for O -100
hours O -100
, O -100
eat O -100
some O -100
good O -100
sushi B-ASP Positive
, O -100
drink O -100
some O -100
good O -100
miso O -100
soup B-ASP -100
and O -100
re O -100
energize O -100
for O -100
more O -100
shopping O -100
. O -100
Even O -100
though O -100
the O -100
sushi O -100
men O -100
at O -100
this O -100
place O -100
can O -100
be O -100
a O -100
little O -100
creepy O -100
, O -100
I O -100
love O -100
this O -100
place O -100
and O -100
it O -100
will O -100
forever O -100
be O -100
my O -100
lunch O -100
spot O -100
when O -100
i O -100
' O -100
m O -100
shopping O -100
in O -100
the O -100
area O -100
xo O -100
Alena O -100

This O -100
place O -100
really O -100
hits O -100
the O -100
spot O -100
after O -100
a O -100
long O -100
day O -100
of O -100
shopping O -100
on O -100
Newbury O -100
st O -100
. O -100
I O -100
finally O -100
get O -100
to O -100
sit O -100
down O -100
after O -100
walking O -100
for O -100
hours O -100
, O -100
eat O -100
some O -100
good O -100
sushi B-ASP -100
, O -100
drink O -100
some O -100
good O -100
miso O -100
soup B-ASP Positive
and O -100
re O -100
energize O -100
for O -100
more O -100
shopping O -100
. O -100
Even O -100
though O -100
the O -100
sushi O -100
men O -100
at O -100
this O -100
place O -100
can O -100
be O -100
a O -100
little O -100
creepy O -100
, O -100
I O -100
love O -100
this O -100
place O -100
and O -100
it O -100
will O -100
forever O -100
be O -100
my O -100
lunch O -100
spot O -100
when O -100
i O -100
' O -100
m O -100
shopping O -100
in O -100
the O -100
area O -100
xo O -100
Alena O -100

I O -100
just O -100
had O -100
a O -100
terrible O -100
experience O -100
here O -100
at O -100
the O -100
Shaking O -100
Crab O -100
in O -100
Quincy O -100
. O -100
The O -100
server B-ASP Negative
brought O -100
us O -100
our O -100
crab O -100
and O -100
told O -100
us O -100
that O -100
the O -100
crackers O -100
were O -100
in O -100
the O -100
washer O -100
and O -100
would O -100
be O -100
out O -100
in O -100
a O -100
minute O -100
or O -100
two O -100
. O -100
Then O -100
10 O -100
minutes O -100
passed O -100
, O -100
still O -100
no O -100
utensils O -100
, O -100
we O -100
asked B-ASP -100
again O -100
and O -100
a O -100
different O -100
server O -100
told O -100
us O -100
that O -100
they O -100
didn O -100
' O -100
t O -100
have O -100
any O -100
more O -100
, O -100
that O -100
they O -100
kept O -100
going O -100
missing O -100
. O -100
This O -100
went O -100
on O -100
for O -100
the O -100
rest O -100
of O -100
the O -100
time O -100
we O -100
were O -100
here O -100
. O -100
After O -100
20 O -100
minutes O -100
of O -100
having O -100
our O -100
food O -100
the O -100
3 O -100
of O -100
us O -100
were O -100
given O -100
one O -100
cracker O -100
. O -100
The O -100
crab B-ASP -100
was O -100
ice O -100
cold O -100
. O -100
The O -100
staff B-ASP -100
then O -100
avoided O -100
our O -100
table O -100
. O -100
We O -100
informed O -100
the O -100
manager O -100
and O -100
he O -100
did O -100
not O -100
seem O -100
to O -100
care O -100
. O -100
I O -100
normally O -100
would O -100
never O -100
post O -100
anything O -100
like O -100
this O -100
, O -100
but O -100
that O -100
was O -100
the O -100
worst O -100
experience O -100
I O -100
have O -100
had O -100
at O -100
a O -100
restaurant O -100
. O -100
I O -100
would O -100
give O -100
them O -100
a O -100
negative O -100
star O -100
if O -100
I O -100
could O -100
. O -100
The O -100
food O -100
was O -100
NOT O -100
worth O -100
the O -100
money B-ASP -100
it O -100
cost O -100
us O -100
. O -100

I O -100
just O -100
had O -100
a O -100
terrible O -100
experience O -100
here O -100
at O -100
the O -100
Shaking O -100
Crab O -100
in O -100
Quincy O -100
. O -100
The O -100
server B-ASP -100
brought O -100
us O -100
our O -100
crab O -100
and O -100
told O -100
us O -100
that O -100
the O -100
crackers O -100
were O -100
in O -100
the O -100
washer O -100
and O -100
would O -100
be O -100
out O -100
in O -100
a O -100
minute O -100
or O -100
two O -100
. O -100
Then O -100
10 O -100
minutes O -100
passed O -100
, O -100
still O -100
no O -100
utensils O -100
, O -100
we O -100
asked B-ASP Negative
again O -100
and O -100
a O -100
different O -100
server O -100
told O -100
us O -100
that O -100
they O -100
didn O -100
' O -100
t O -100
have O -100
any O -100
more O -100
, O -100
that O -100
they O -100
kept O -100
going O -100
missing O -100
. O -100
This O -100
went O -100
on O -100
for O -100
the O -100
rest O -100
of O -100
the O -100
time O -100
we O -100
were O -100
here O -100
. O -100
After O -100
20 O -100
minutes O -100
of O -100
having O -100
our O -100
food O -100
the O -100
3 O -100
of O -100
us O -100
were O -100
given O -100
one O -100
cracker O -100
. O -100
The O -100
crab B-ASP -100
was O -100
ice O -100
cold O -100
. O -100
The O -100
staff B-ASP -100
then O -100
avoided O -100
our O -100
table O -100
. O -100
We O -100
informed O -100
the O -100
manager O -100
and O -100
he O -100
did O -100
not O -100
seem O -100
to O -100
care O -100
. O -100
I O -100
normally O -100
would O -100
never O -100
post O -100
anything O -100
like O -100
this O -100
, O -100
but O -100
that O -100
was O -100
the O -100
worst O -100
experience O -100
I O -100
have O -100
had O -100
at O -100
a O -100
restaurant O -100
. O -100
I O -100
would O -100
give O -100
them O -100
a O -100
negative O -100
star O -100
if O -100
I O -100
could O -100
. O -100
The O -100
food O -100
was O -100
NOT O -100
worth O -100
the O -100
money B-ASP -100
it O -100
cost O -100
us O -100
. O -100

I O -100
just O -100
had O -100
a O -100
terrible O -100
experience O -100
here O -100
at O -100
the O -100
Shaking O -100
Crab O -100
in O -100
Quincy O -100
. O -100
The O -100
server B-ASP -100
brought O -100
us O -100
our O -100
crab O -100
and O -100
told O -100
us O -100
that O -100
the O -100
crackers O -100
were O -100
in O -100
the O -100
washer O -100
and O -100
would O -100
be O -100
out O -100
in O -100
a O -100
minute O -100
or O -100
two O -100
. O -100
Then O -100
10 O -100
minutes O -100
passed O -100
, O -100
still O -100
no O -100
utensils O -100
, O -100
we O -100
asked B-ASP -100
again O -100
and O -100
a O -100
different O -100
server O -100
told O -100
us O -100
that O -100
they O -100
didn O -100
' O -100
t O -100
have O -100
any O -100
more O -100
, O -100
that O -100
they O -100
kept O -100
going O -100
missing O -100
. O -100
This O -100
went O -100
on O -100
for O -100
the O -100
rest O -100
of O -100
the O -100
time O -100
we O -100
were O -100
here O -100
. O -100
After O -100
20 O -100
minutes O -100
of O -100
having O -100
our O -100
food O -100
the O -100
3 O -100
of O -100
us O -100
were O -100
given O -100
one O -100
cracker O -100
. O -100
The O -100
crab B-ASP Negative
was O -100
ice O -100
cold O -100
. O -100
The O -100
staff B-ASP -100
then O -100
avoided O -100
our O -100
table O -100
. O -100
We O -100
informed O -100
the O -100
manager O -100
and O -100
he O -100
did O -100
not O -100
seem O -100
to O -100
care O -100
. O -100
I O -100
normally O -100
would O -100
never O -100
post O -100
anything O -100
like O -100
this O -100
, O -100
but O -100
that O -100
was O -100
the O -100
worst O -100
experience O -100
I O -100
have O -100
had O -100
at O -100
a O -100
restaurant O -100
. O -100
I O -100
would O -100
give O -100
them O -100
a O -100
negative O -100
star O -100
if O -100
I O -100
could O -100
. O -100
The O -100
food O -100
was O -100
NOT O -100
worth O -100
the O -100
money B-ASP -100
it O -100
cost O -100
us O -100
. O -100

I O -100
just O -100
had O -100
a O -100
terrible O -100
experience O -100
here O -100
at O -100
the O -100
Shaking O -100
Crab O -100
in O -100
Quincy O -100
. O -100
The O -100
server B-ASP -100
brought O -100
us O -100
our O -100
crab O -100
and O -100
told O -100
us O -100
that O -100
the O -100
crackers O -100
were O -100
in O -100
the O -100
washer O -100
and O -100
would O -100
be O -100
out O -100
in O -100
a O -100
minute O -100
or O -100
two O -100
. O -100
Then O -100
10 O -100
minutes O -100
passed O -100
, O -100
still O -100
no O -100
utensils O -100
, O -100
we O -100
asked B-ASP -100
again O -100
and O -100
a O -100
different O -100
server O -100
told O -100
us O -100
that O -100
they O -100
didn O -100
' O -100
t O -100
have O -100
any O -100
more O -100
, O -100
that O -100
they O -100
kept O -100
going O -100
missing O -100
. O -100
This O -100
went O -100
on O -100
for O -100
the O -100
rest O -100
of O -100
the O -100
time O -100
we O -100
were O -100
here O -100
. O -100
After O -100
20 O -100
minutes O -100
of O -100
having O -100
our O -100
food O -100
the O -100
3 O -100
of O -100
us O -100
were O -100
given O -100
one O -100
cracker O -100
. O -100
The O -100
crab B-ASP -100
was O -100
ice O -100
cold O -100
. O -100
The O -100
staff B-ASP Negative
then O -100
avoided O -100
our O -100
table O -100
. O -100
We O -100
informed O -100
the O -100
manager O -100
and O -100
he O -100
did O -100
not O -100
seem O -100
to O -100
care O -100
. O -100
I O -100
normally O -100
would O -100
never O -100
post O -100
anything O -100
like O -100
this O -100
, O -100
but O -100
that O -100
was O -100
the O -100
worst O -100
experience O -100
I O -100
have O -100
had O -100
at O -100
a O -100
restaurant O -100
. O -100
I O -100
would O -100
give O -100
them O -100
a O -100
negative O -100
star O -100
if O -100
I O -100
could O -100
. O -100
The O -100
food O -100
was O -100
NOT O -100
worth O -100
the O -100
money B-ASP -100
it O -100
cost O -100
us O -100
. O -100

I O -100
just O -100
had O -100
a O -100
terrible O -100
experience O -100
here O -100
at O -100
the O -100
Shaking O -100
Crab O -100
in O -100
Quincy O -100
. O -100
The O -100
server B-ASP -100
brought O -100
us O -100
our O -100
crab O -100
and O -100
told O -100
us O -100
that O -100
the O -100
crackers O -100
were O -100
in O -100
the O -100
washer O -100
and O -100
would O -100
be O -100
out O -100
in O -100
a O -100
minute O -100
or O -100
two O -100
. O -100
Then O -100
10 O -100
minutes O -100
passed O -100
, O -100
still O -100
no O -100
utensils O -100
, O -100
we O -100
asked B-ASP -100
again O -100
and O -100
a O -100
different O -100
server O -100
told O -100
us O -100
that O -100
they O -100
didn O -100
' O -100
t O -100
have O -100
any O -100
more O -100
, O -100
that O -100
they O -100
kept O -100
going O -100
missing O -100
. O -100
This O -100
went O -100
on O -100
for O -100
the O -100
rest O -100
of O -100
the O -100
time O -100
we O -100
were O -100
here O -100
. O -100
After O -100
20 O -100
minutes O -100
of O -100
having O -100
our O -100
food O -100
the O -100
3 O -100
of O -100
us O -100
were O -100
given O -100
one O -100
cracker O -100
. O -100
The O -100
crab B-ASP -100
was O -100
ice O -100
cold O -100
. O -100
The O -100
staff B-ASP -100
then O -100
avoided O -100
our O -100
table O -100
. O -100
We O -100
informed O -100
the O -100
manager O -100
and O -100
he O -100
did O -100
not O -100
seem O -100
to O -100
care O -100
. O -100
I O -100
normally O -100
would O -100
never O -100
post O -100
anything O -100
like O -100
this O -100
, O -100
but O -100
that O -100
was O -100
the O -100
worst O -100
experience O -100
I O -100
have O -100
had O -100
at O -100
a O -100
restaurant O -100
. O -100
I O -100
would O -100
give O -100
them O -100
a O -100
negative O -100
star O -100
if O -100
I O -100
could O -100
. O -100
The O -100
food O -100
was O -100
NOT O -100
worth O -100
the O -100
money B-ASP Negative
it O -100
cost O -100
us O -100
. O -100

Realize O -100
this O -100
is O -100
a O -100
small O -100
cafe O -100
local O -100
hang O -100
out O -100
. O -100
But O -100
wow O -100
the O -100
food B-ASP Positive
was O -100
a O -100
big O -100
surprise O -100
. O -100
Lots O -100
of O -100
flavor O -100
and O -100
tons O -100
of O -100
quality O -100
and O -100
great O -100
value B-ASP -100
to O -100
boot O -100
. O -100
Everything O -100
is O -100
made O -100
from O -100
scratch O -100
. O -100
Simple O -100
awesome O -100
and O -100
a O -100
place O -100
I O -100
will O -100
run O -100
back O -100
to O -100
. O -100

Realize O -100
this O -100
is O -100
a O -100
small O -100
cafe O -100
local O -100
hang O -100
out O -100
. O -100
But O -100
wow O -100
the O -100
food B-ASP -100
was O -100
a O -100
big O -100
surprise O -100
. O -100
Lots O -100
of O -100
flavor O -100
and O -100
tons O -100
of O -100
quality O -100
and O -100
great O -100
value B-ASP Positive
to O -100
boot O -100
. O -100
Everything O -100
is O -100
made O -100
from O -100
scratch O -100
. O -100
Simple O -100
awesome O -100
and O -100
a O -100
place O -100
I O -100
will O -100
run O -100
back O -100
to O -100
. O -100

We O -100
' O -100
ve O -100
been O -100
big O -100
fans O -100
of O -100
Occidental O -100
and O -100
Urban O -100
German O -100
and O -100
couldn O -100
' O -100
t O -100
wait O -100
for O -100
this O -100
to O -100
open O -100
. O -100
It O -100
didn O -100
' O -100
t O -100
disappoint O -100
! O -100
The O -100
schnitzel O -100
was O -100
amazing O -100
and O -100
we O -100
can O -100
' O -100
t O -100
wait O -100
to O -100
go O -100
back O -100
for O -100
the O -100
sp O -100
< O -100
U O -100
+ O -100
00E4 O -100
> O -100
tzle O -100
. O -100
. O -100
. O -100
it O -100
was O -100
already O -100
sold O -100
out O -100
! O -100
Bridge O -100
views B-ASP Positive
make O -100
this O -100
place O -100
over O -100
the O -100
top O -100
! O -100
So O -100
glad O -100
this O -100
is O -100
in O -100
St O -100
Johns O -100
and O -100
can O -100
' O -100
t O -100
wait O -100
to O -100
go O -100
back O -100
! O -100

Stopped O -100
in O -100
for O -100
lunch O -100
, O -100
was O -100
pleasantly O -100
surprised O -100
! O -100
We O -100
ordered O -100
garlic O -100
cheese O -100
bread O -100
, O -100
the O -100
pizza O -100
lovers O -100
flatbread O -100
and O -100
chicken O -100
piccata O -100
. O -100
All O -100
were O -100
very O -100
delicious O -100
. O -100
The O -100
service B-ASP Positive
was O -100
great O -100
, O -100
the O -100
food B-ASP -100
was O -100
great O -100
, O -100
the O -100
music B-ASP -100
makes O -100
you O -100
feel O -100
like O -100
you O -100
are O -100
in O -100
Italy O -100
. O -100
We O -100
will O -100
be O -100
back O -100
for O -100
sure O -100
! O -100

Stopped O -100
in O -100
for O -100
lunch O -100
, O -100
was O -100
pleasantly O -100
surprised O -100
! O -100
We O -100
ordered O -100
garlic O -100
cheese O -100
bread O -100
, O -100
the O -100
pizza O -100
lovers O -100
flatbread O -100
and O -100
chicken O -100
piccata O -100
. O -100
All O -100
were O -100
very O -100
delicious O -100
. O -100
The O -100
service B-ASP -100
was O -100
great O -100
, O -100
the O -100
food B-ASP Positive
was O -100
great O -100
, O -100
the O -100
music B-ASP -100
makes O -100
you O -100
feel O -100
like O -100
you O -100
are O -100
in O -100
Italy O -100
. O -100
We O -100
will O -100
be O -100
back O -100
for O -100
sure O -100
! O -100

Stopped O -100
in O -100
for O -100
lunch O -100
, O -100
was O -100
pleasantly O -100
surprised O -100
! O -100
We O -100
ordered O -100
garlic O -100
cheese O -100
bread O -100
, O -100
the O -100
pizza O -100
lovers O -100
flatbread O -100
and O -100
chicken O -100
piccata O -100
. O -100
All O -100
were O -100
very O -100
delicious O -100
. O -100
The O -100
service B-ASP -100
was O -100
great O -100
, O -100
the O -100
food B-ASP -100
was O -100
great O -100
, O -100
the O -100
music B-ASP Positive
makes O -100
you O -100
feel O -100
like O -100
you O -100
are O -100
in O -100
Italy O -100
. O -100
We O -100
will O -100
be O -100
back O -100
for O -100
sure O -100
! O -100

We O -100
asked O -100
them O -100
about O -100
adding O -100
the O -100
gooey O -100
half O -100
boiled O -100
eggs O -100
that O -100
you O -100
' O -100
d O -100
be O -100
able O -100
to O -100
get O -100
at O -100
any O -100
other O -100
ramen O -100
place O -100
and O -100
they O -100
only O -100
serve B-ASP Negative
hard O -100
boiled O -100
eggs O -100
! O -100
This O -100
just O -100
seemed O -100
extremely O -100
weird O -100
to O -100
us O -100
and O -100
as O -100
owners O -100
of O -100
a O -100
ramen O -100
shop O -100
I O -100
would O -100
highly O -100
recommend O -100
they O -100
add O -100
that O -100
to O -100
their O -100
menu O -100
. O -100
Sorry O -100
but O -100
it O -100
' O -100
s O -100
a O -100
necessity O -100
. O -100
As O -100
for O -100
our O -100
meals B-ASP -100
, O -100
they O -100
were O -100
unremarkable O -100
. O -100
Extremely O -100
bland O -100
and O -100
I O -100
honestly O -100
regret O -100
wasting O -100
time O -100
, O -100
money O -100
, O -100
and O -100
calories O -100
. O -100

We O -100
asked O -100
them O -100
about O -100
adding O -100
the O -100
gooey O -100
half O -100
boiled O -100
eggs O -100
that O -100
you O -100
' O -100
d O -100
be O -100
able O -100
to O -100
get O -100
at O -100
any O -100
other O -100
ramen O -100
place O -100
and O -100
they O -100
only O -100
serve B-ASP -100
hard O -100
boiled O -100
eggs O -100
! O -100
This O -100
just O -100
seemed O -100
extremely O -100
weird O -100
to O -100
us O -100
and O -100
as O -100
owners O -100
of O -100
a O -100
ramen O -100
shop O -100
I O -100
would O -100
highly O -100
recommend O -100
they O -100
add O -100
that O -100
to O -100
their O -100
menu O -100
. O -100
Sorry O -100
but O -100
it O -100
' O -100
s O -100
a O -100
necessity O -100
. O -100
As O -100
for O -100
our O -100
meals B-ASP Negative
, O -100
they O -100
were O -100
unremarkable O -100
. O -100
Extremely O -100
bland O -100
and O -100
I O -100
honestly O -100
regret O -100
wasting O -100
time O -100
, O -100
money O -100
, O -100
and O -100
calories O -100
. O -100

The O -100
cost B-ASP Positive
isn O -100
' O -100
t O -100
expensive O -100
and O -100
it O -100
is O -100
very O -100
good O -100
. O -100
For O -100
me O -100
, O -100
places O -100
like O -100
Voodoo O -100
is O -100
too O -100
sweet O -100
for O -100
me O -100
, O -100
but O -100
it O -100
is O -100
not O -100
the O -100
case O -100
for O -100
Donut O -100
Palace O -100
. O -100
The O -100
donut B-ASP -100
itself O -100
is O -100
very O -100
airy O -100
and O -100
absolutely O -100
delicious O -100
when O -100
bitten O -100
down O -100
. O -100
I O -100
have O -100
only O -100
been O -100
there O -100
once O -100
, O -100
but O -100
I O -100
' O -100
m O -100
already O -100
enjoying O -100
it O -100
a O -100
lot O -100
! O -100

The O -100
cost B-ASP -100
isn O -100
' O -100
t O -100
expensive O -100
and O -100
it O -100
is O -100
very O -100
good O -100
. O -100
For O -100
me O -100
, O -100
places O -100
like O -100
Voodoo O -100
is O -100
too O -100
sweet O -100
for O -100
me O -100
, O -100
but O -100
it O -100
is O -100
not O -100
the O -100
case O -100
for O -100
Donut O -100
Palace O -100
. O -100
The O -100
donut B-ASP Positive
itself O -100
is O -100
very O -100
airy O -100
and O -100
absolutely O -100
delicious O -100
when O -100
bitten O -100
down O -100
. O -100
I O -100
have O -100
only O -100
been O -100
there O -100
once O -100
, O -100
but O -100
I O -100
' O -100
m O -100
already O -100
enjoying O -100
it O -100
a O -100
lot O -100
! O -100

Worst O -100
food B-ASP Negative
ever O -100
. O -100
. O -100
. O -100
It O -100
was O -100
my O -100
wife O -100
' O -100
s O -100
birthday O -100
and O -100
we O -100
were O -100
in O -100
Orlando O -100
celebrating O -100
by O -100
going O -100
to O -100
bunch O -100
of O -100
theme O -100
parks O -100
. O -100
. O -100
. O -100
She O -100
is O -100
so O -100
fond O -100
of O -100
indo O -100
Chinese O -100
cuisine O -100
, O -100
so O -100
I O -100
really O -100
wanted O -100
to O -100
eat O -100
out O -100
. O -100
. O -100
. O -100
Pulled O -100
out O -100
yelp O -100
and O -100
saw O -100
this O -100
place O -100
advertised O -100
so O -100
. O -100
. O -100
. O -100
. O -100
It O -100
was O -100
the O -100
most O -100
disappointing O -100
experiance O -100
. O -100
. O -100
That O -100
f O -100
' O -100
ing O -100
place O -100
does O -100
not O -100
even O -100
know O -100
what O -100
is O -100
indo O -100
Chinese O -100
, O -100
they O -100
even O -100
justified O -100
it O -100
is O -100
indo O -100
Chinese O -100
. O -100
. O -100
. O -100
. O -100
Pls O -100
avoid O -100
this O -100
place O -100
. O -100
. O -100
. O -100
. O -100
the O -100
server B-ASP -100
was O -100
an O -100
a O -100
' O -100
Hole O -100
who O -100
was O -100
suggesting O -100
all O -100
crap O -100
. O -100
. O -100
. O -100

Worst O -100
food B-ASP -100
ever O -100
. O -100
. O -100
. O -100
It O -100
was O -100
my O -100
wife O -100
' O -100
s O -100
birthday O -100
and O -100
we O -100
were O -100
in O -100
Orlando O -100
celebrating O -100
by O -100
going O -100
to O -100
bunch O -100
of O -100
theme O -100
parks O -100
. O -100
. O -100
. O -100
She O -100
is O -100
so O -100
fond O -100
of O -100
indo O -100
Chinese O -100
cuisine O -100
, O -100
so O -100
I O -100
really O -100
wanted O -100
to O -100
eat O -100
out O -100
. O -100
. O -100
. O -100
Pulled O -100
out O -100
yelp O -100
and O -100
saw O -100
this O -100
place O -100
advertised O -100
so O -100
. O -100
. O -100
. O -100
. O -100
It O -100
was O -100
the O -100
most O -100
disappointing O -100
experiance O -100
. O -100
. O -100
That O -100
f O -100
' O -100
ing O -100
place O -100
does O -100
not O -100
even O -100
know O -100
what O -100
is O -100
indo O -100
Chinese O -100
, O -100
they O -100
even O -100
justified O -100
it O -100
is O -100
indo O -100
Chinese O -100
. O -100
. O -100
. O -100
. O -100
Pls O -100
avoid O -100
this O -100
place O -100
. O -100
. O -100
. O -100
. O -100
the O -100
server B-ASP Negative
was O -100
an O -100
a O -100
' O -100
Hole O -100
who O -100
was O -100
suggesting O -100
all O -100
crap O -100
. O -100
. O -100
. O -100

I O -100
dined O -100
at O -100
this O -100
restaurant O -100
before O -100
the O -100
most O -100
recent O -100
owner O -100
took O -100
over O -100
and O -100
the O -100
prices B-ASP Negative
were O -100
never O -100
as O -100
high O -100
as O -100
they O -100
are O -100
now O -100
therefore O -100
I O -100
have O -100
not O -100
dined O -100
there O -100
until O -100
this O -100
past O -100
weekend O -100
, O -100
3 O -100
/ O -100
16 O -100
/ O -100
13 O -100
. O -100
Went O -100
with O -100
a O -100
group O -100
of O -100
friends O -100
and O -100
although O -100
the O -100
food B-ASP -100
we O -100
ordered O -100
tasted O -100
fine O -100
, O -100
the O -100
price O -100
just O -100
does O -100
not O -100
justify O -100
it O -100
. O -100
They O -100
' O -100
re O -100
making O -100
a O -100
killing O -100
on O -100
food O -100
profit O -100
. O -100
My O -100
husband O -100
and O -100
I O -100
shared O -100
the O -100
pick O -100
two O -100
cold O -100
appetizers O -100
( O -100
we O -100
chose O -100
babaganoush O -100
and O -100
hummus O -100
) O -100
. O -100
It O -100
came O -100
out O -100
on O -100
a O -100
small O -100
saucer O -100
and O -100
contained O -100
maybe O -100
a O -100
1 O -100
/ O -100
2 O -100
c O -100
of O -100
each O -100
for O -100
$ O -100
10 O -100
. O -100
75 O -100
. O -100
I O -100
asked O -100
if O -100
it O -100
came O -100
with O -100
bread O -100
and O -100
they O -100
said O -100
no O -100
you O -100
have O -100
to O -100
pay B-ASP -100
for O -100
that O -100
separate O -100
so O -100
that O -100
was O -100
another O -100
$ O -100
5 O -100
for O -100
the O -100
lavas O -100
bread O -100
( O -100
what O -100
was O -100
I O -100
suppose O -100
to O -100
eat O -100
with O -100
the O -100
dips O -100
) O -100
. O -100
Then O -100
we O -100
split O -100
their O -100
house O -100
salad O -100
, O -100
which O -100
was O -100
priced O -100
at O -100
$ O -100
10 O -100
. O -100
75 O -100
( O -100
no O -100
protein O -100
added O -100
) O -100
and O -100
it O -100
was O -100
a O -100
basic O -100
sized O -100
salad O -100
with O -100
lettuce O -100
, O -100
some O -100
cous O -100
cous O -100
, O -100
2 O -100
olives O -100
, O -100
some O -100
feta O -100
, O -100
tomato O -100
and O -100
cucumber O -100
. O -100
I O -100
know O -100
I O -100
will O -100
not O -100
come O -100
back O -100
to O -100
eat O -100
here O -100
. O -100
I O -100
can O -100
find O -100
the O -100
same O -100
type O -100
of O -100
food O -100
that O -100
taste O -100
just O -100
as O -100
great O -100
and O -100
pay O -100
the O -100
price O -100
that O -100
it O -100
should O -100
be O -100
. O -100

I O -100
dined O -100
at O -100
this O -100
restaurant O -100
before O -100
the O -100
most O -100
recent O -100
owner O -100
took O -100
over O -100
and O -100
the O -100
prices B-ASP -100
were O -100
never O -100
as O -100
high O -100
as O -100
they O -100
are O -100
now O -100
therefore O -100
I O -100
have O -100
not O -100
dined O -100
there O -100
until O -100
this O -100
past O -100
weekend O -100
, O -100
3 O -100
/ O -100
16 O -100
/ O -100
13 O -100
. O -100
Went O -100
with O -100
a O -100
group O -100
of O -100
friends O -100
and O -100
although O -100
the O -100
food B-ASP Neutral
we O -100
ordered O -100
tasted O -100
fine O -100
, O -100
the O -100
price O -100
just O -100
does O -100
not O -100
justify O -100
it O -100
. O -100
They O -100
' O -100
re O -100
making O -100
a O -100
killing O -100
on O -100
food O -100
profit O -100
. O -100
My O -100
husband O -100
and O -100
I O -100
shared O -100
the O -100
pick O -100
two O -100
cold O -100
appetizers O -100
( O -100
we O -100
chose O -100
babaganoush O -100
and O -100
hummus O -100
) O -100
. O -100
It O -100
came O -100
out O -100
on O -100
a O -100
small O -100
saucer O -100
and O -100
contained O -100
maybe O -100
a O -100
1 O -100
/ O -100
2 O -100
c O -100
of O -100
each O -100
for O -100
$ O -100
10 O -100
. O -100
75 O -100
. O -100
I O -100
asked O -100
if O -100
it O -100
came O -100
with O -100
bread O -100
and O -100
they O -100
said O -100
no O -100
you O -100
have O -100
to O -100
pay B-ASP -100
for O -100
that O -100
separate O -100
so O -100
that O -100
was O -100
another O -100
$ O -100
5 O -100
for O -100
the O -100
lavas O -100
bread O -100
( O -100
what O -100
was O -100
I O -100
suppose O -100
to O -100
eat O -100
with O -100
the O -100
dips O -100
) O -100
. O -100
Then O -100
we O -100
split O -100
their O -100
house O -100
salad O -100
, O -100
which O -100
was O -100
priced O -100
at O -100
$ O -100
10 O -100
. O -100
75 O -100
( O -100
no O -100
protein O -100
added O -100
) O -100
and O -100
it O -100
was O -100
a O -100
basic O -100
sized O -100
salad O -100
with O -100
lettuce O -100
, O -100
some O -100
cous O -100
cous O -100
, O -100
2 O -100
olives O -100
, O -100
some O -100
feta O -100
, O -100
tomato O -100
and O -100
cucumber O -100
. O -100
I O -100
know O -100
I O -100
will O -100
not O -100
come O -100
back O -100
to O -100
eat O -100
here O -100
. O -100
I O -100
can O -100
find O -100
the O -100
same O -100
type O -100
of O -100
food O -100
that O -100
taste O -100
just O -100
as O -100
great O -100
and O -100
pay O -100
the O -100
price O -100
that O -100
it O -100
should O -100
be O -100
. O -100

I O -100
dined O -100
at O -100
this O -100
restaurant O -100
before O -100
the O -100
most O -100
recent O -100
owner O -100
took O -100
over O -100
and O -100
the O -100
prices B-ASP -100
were O -100
never O -100
as O -100
high O -100
as O -100
they O -100
are O -100
now O -100
therefore O -100
I O -100
have O -100
not O -100
dined O -100
there O -100
until O -100
this O -100
past O -100
weekend O -100
, O -100
3 O -100
/ O -100
16 O -100
/ O -100
13 O -100
. O -100
Went O -100
with O -100
a O -100
group O -100
of O -100
friends O -100
and O -100
although O -100
the O -100
food B-ASP -100
we O -100
ordered O -100
tasted O -100
fine O -100
, O -100
the O -100
price O -100
just O -100
does O -100
not O -100
justify O -100
it O -100
. O -100
They O -100
' O -100
re O -100
making O -100
a O -100
killing O -100
on O -100
food O -100
profit O -100
. O -100
My O -100
husband O -100
and O -100
I O -100
shared O -100
the O -100
pick O -100
two O -100
cold O -100
appetizers O -100
( O -100
we O -100
chose O -100
babaganoush O -100
and O -100
hummus O -100
) O -100
. O -100
It O -100
came O -100
out O -100
on O -100
a O -100
small O -100
saucer O -100
and O -100
contained O -100
maybe O -100
a O -100
1 O -100
/ O -100
2 O -100
c O -100
of O -100
each O -100
for O -100
$ O -100
10 O -100
. O -100
75 O -100
. O -100
I O -100
asked O -100
if O -100
it O -100
came O -100
with O -100
bread O -100
and O -100
they O -100
said O -100
no O -100
you O -100
have O -100
to O -100
pay B-ASP Negative
for O -100
that O -100
separate O -100
so O -100
that O -100
was O -100
another O -100
$ O -100
5 O -100
for O -100
the O -100
lavas O -100
bread O -100
( O -100
what O -100
was O -100
I O -100
suppose O -100
to O -100
eat O -100
with O -100
the O -100
dips O -100
) O -100
. O -100
Then O -100
we O -100
split O -100
their O -100
house O -100
salad O -100
, O -100
which O -100
was O -100
priced O -100
at O -100
$ O -100
10 O -100
. O -100
75 O -100
( O -100
no O -100
protein O -100
added O -100
) O -100
and O -100
it O -100
was O -100
a O -100
basic O -100
sized O -100
salad O -100
with O -100
lettuce O -100
, O -100
some O -100
cous O -100
cous O -100
, O -100
2 O -100
olives O -100
, O -100
some O -100
feta O -100
, O -100
tomato O -100
and O -100
cucumber O -100
. O -100
I O -100
know O -100
I O -100
will O -100
not O -100
come O -100
back O -100
to O -100
eat O -100
here O -100
. O -100
I O -100
can O -100
find O -100
the O -100
same O -100
type O -100
of O -100
food O -100
that O -100
taste O -100
just O -100
as O -100
great O -100
and O -100
pay O -100
the O -100
price O -100
that O -100
it O -100
should O -100
be O -100
. O -100

The O -100
dishes B-ASP Positive
were O -100
executed O -100
flawlessly O -100
and O -100
they O -100
were O -100
presented O -100
beautifully O -100
. O -100
Minus O -100
a O -100
star O -100
for O -100
the O -100
seemingly O -100
rushed O -100
service B-ASP -100
. O -100
Our O -100
server O -100
breezed O -100
through O -100
the O -100
description O -100
of O -100
the O -100
dishes O -100
. O -100
All O -100
in O -100
all O -100
, O -100
it O -100
was O -100
a O -100
great O -100
dining O -100
experience O -100
. O -100
( O -100
Had O -100
the O -100
14 O -100
course O -100
meal O -100
with O -100
pairing O -100
. O -100
) O -100

The O -100
dishes B-ASP -100
were O -100
executed O -100
flawlessly O -100
and O -100
they O -100
were O -100
presented O -100
beautifully O -100
. O -100
Minus O -100
a O -100
star O -100
for O -100
the O -100
seemingly O -100
rushed O -100
service B-ASP Negative
. O -100
Our O -100
server O -100
breezed O -100
through O -100
the O -100
description O -100
of O -100
the O -100
dishes O -100
. O -100
All O -100
in O -100
all O -100
, O -100
it O -100
was O -100
a O -100
great O -100
dining O -100
experience O -100
. O -100
( O -100
Had O -100
the O -100
14 O -100
course O -100
meal O -100
with O -100
pairing O -100
. O -100
) O -100

Never O -100
in O -100
years O -100
of O -100
Legal O -100
Seafood O -100
dedication O -100
have O -100
I O -100
had O -100
a O -100
bad O -100
meal O -100
here O -100
, O -100
EVER O -100
. O -100
A O -100
crab O -100
roll O -100
comes O -100
on O -100
a O -100
buttered O -100
& O -100
grilled O -100
roll O -100
so O -100
light O -100
it O -100
' O -100
s O -100
almost O -100
ethereal O -100
. O -100
Really O -100
it O -100
' O -100
s O -100
an O -100
amazing O -100
roll O -100
and O -100
just O -100
amplifies O -100
the O -100
quality O -100
of O -100
the O -100
crabmeat O -100
. O -100
The O -100
salads B-ASP Positive
are O -100
terrific O -100
but O -100
the O -100
best O -100
part O -100
might O -100
be O -100
the O -100
servers B-ASP -100
. O -100
Warm O -100
, O -100
attentive O -100
and O -100
helpful O -100
, O -100
just O -100
trust O -100
me O -100
you O -100
' O -100
ll O -100
eat O -100
here O -100
every O -100
chance O -100
you O -100
get O -100
! O -100

Never O -100
in O -100
years O -100
of O -100
Legal O -100
Seafood O -100
dedication O -100
have O -100
I O -100
had O -100
a O -100
bad O -100
meal O -100
here O -100
, O -100
EVER O -100
. O -100
A O -100
crab O -100
roll O -100
comes O -100
on O -100
a O -100
buttered O -100
& O -100
grilled O -100
roll O -100
so O -100
light O -100
it O -100
' O -100
s O -100
almost O -100
ethereal O -100
. O -100
Really O -100
it O -100
' O -100
s O -100
an O -100
amazing O -100
roll O -100
and O -100
just O -100
amplifies O -100
the O -100
quality O -100
of O -100
the O -100
crabmeat O -100
. O -100
The O -100
salads B-ASP -100
are O -100
terrific O -100
but O -100
the O -100
best O -100
part O -100
might O -100
be O -100
the O -100
servers B-ASP Positive
. O -100
Warm O -100
, O -100
attentive O -100
and O -100
helpful O -100
, O -100
just O -100
trust O -100
me O -100
you O -100
' O -100
ll O -100
eat O -100
here O -100
every O -100
chance O -100
you O -100
get O -100
! O -100

Went O -100
here O -100
on O -100
Sunday O -100
for O -100
first O -100
time O -100
. O -100
Plenty O -100
of O -100
parking O -100
which O -100
was O -100
nice O -100
. O -100
The O -100
jalapeno O -100
cornbread B-ASP Positive
was O -100
very O -100
good O -100
! O -100
Mac O -100
n O -100
chz O -100
also O -100
good O -100
. O -100
Ordered O -100
the O -100
moist O -100
brisket O -100
because O -100
I O -100
thought O -100
it O -100
would O -100
be O -100
better O -100
since O -100
the O -100
lean O -100
is O -100
generally O -100
dry O -100
at O -100
times O -100
. O -100
. O -100
the O -100
brisket B-ASP -100
was O -100
super O -100
moist O -100
, O -100
fatty O -100
, O -100
and O -100
very O -100
greasy O -100
. O -100
. O -100
had O -100
alot O -100
of O -100
oil O -100
on O -100
the O -100
plate O -100
. O -100
. O -100
most O -100
of O -100
what O -100
I O -100
got O -100
was O -100
fat O -100
. O -100
. O -100
. O -100
next O -100
time O -100
ill O -100
try O -100
the O -100
lean O -100
. O -100
. O -100
the O -100
sausage O -100
was O -100
so O -100
so O -100
. O -100
. O -100
im O -100
still O -100
a O -100
bigger O -100
fan O -100
of O -100
pokejoes O -100
. O -100
. O -100
There O -100
was O -100
a O -100
guy O -100
who O -100
looked O -100
homeless O -100
playing O -100
guitar O -100
and O -100
singing O -100
very O -100
loud O -100
inside O -100
. O -100
. O -100
went O -100
to O -100
sit O -100
outside O -100
in O -100
the O -100
heat O -100
bc O -100
this O -100
guy O -100
was O -100
so O -100
loud O -100
and O -100
annoying O -100
. O -100
. O -100
he O -100
seemed O -100
kinda O -100
drunk O -100
too O -100
. O -100
. O -100
not O -100
sure O -100
why O -100
they O -100
let O -100
him O -100
do O -100
this O -100
bc O -100
ruined O -100
the O -100
atmosphere B-ASP -100
for O -100
us O -100
. O -100
. O -100
I O -100
' O -100
ll O -100
give O -100
it B-ASP -100
another O -100
shot O -100
but O -100
it O -100
is O -100
pricey B-ASP -100
and O -100
wasn O -100
' O -100
t O -100
that O -100
great O -100

Went O -100
here O -100
on O -100
Sunday O -100
for O -100
first O -100
time O -100
. O -100
Plenty O -100
of O -100
parking O -100
which O -100
was O -100
nice O -100
. O -100
The O -100
jalapeno O -100
cornbread B-ASP -100
was O -100
very O -100
good O -100
! O -100
Mac O -100
n O -100
chz O -100
also O -100
good O -100
. O -100
Ordered O -100
the O -100
moist O -100
brisket O -100
because O -100
I O -100
thought O -100
it O -100
would O -100
be O -100
better O -100
since O -100
the O -100
lean O -100
is O -100
generally O -100
dry O -100
at O -100
times O -100
. O -100
. O -100
the O -100
brisket B-ASP Negative
was O -100
super O -100
moist O -100
, O -100
fatty O -100
, O -100
and O -100
very O -100
greasy O -100
. O -100
. O -100
had O -100
alot O -100
of O -100
oil O -100
on O -100
the O -100
plate O -100
. O -100
. O -100
most O -100
of O -100
what O -100
I O -100
got O -100
was O -100
fat O -100
. O -100
. O -100
. O -100
next O -100
time O -100
ill O -100
try O -100
the O -100
lean O -100
. O -100
. O -100
the O -100
sausage O -100
was O -100
so O -100
so O -100
. O -100
. O -100
im O -100
still O -100
a O -100
bigger O -100
fan O -100
of O -100
pokejoes O -100
. O -100
. O -100
There O -100
was O -100
a O -100
guy O -100
who O -100
looked O -100
homeless O -100
playing O -100
guitar O -100
and O -100
singing O -100
very O -100
loud O -100
inside O -100
. O -100
. O -100
went O -100
to O -100
sit O -100
outside O -100
in O -100
the O -100
heat O -100
bc O -100
this O -100
guy O -100
was O -100
so O -100
loud O -100
and O -100
annoying O -100
. O -100
. O -100
he O -100
seemed O -100
kinda O -100
drunk O -100
too O -100
. O -100
. O -100
not O -100
sure O -100
why O -100
they O -100
let O -100
him O -100
do O -100
this O -100
bc O -100
ruined O -100
the O -100
atmosphere B-ASP -100
for O -100
us O -100
. O -100
. O -100
I O -100
' O -100
ll O -100
give O -100
it B-ASP -100
another O -100
shot O -100
but O -100
it O -100
is O -100
pricey B-ASP -100
and O -100
wasn O -100
' O -100
t O -100
that O -100
great O -100

Went O -100
here O -100
on O -100
Sunday O -100
for O -100
first O -100
time O -100
. O -100
Plenty O -100
of O -100
parking O -100
which O -100
was O -100
nice O -100
. O -100
The O -100
jalapeno O -100
cornbread B-ASP -100
was O -100
very O -100
good O -100
! O -100
Mac O -100
n O -100
chz O -100
also O -100
good O -100
. O -100
Ordered O -100
the O -100
moist O -100
brisket O -100
because O -100
I O -100
thought O -100
it O -100
would O -100
be O -100
better O -100
since O -100
the O -100
lean O -100
is O -100
generally O -100
dry O -100
at O -100
times O -100
. O -100
. O -100
the O -100
brisket B-ASP -100
was O -100
super O -100
moist O -100
, O -100
fatty O -100
, O -100
and O -100
very O -100
greasy O -100
. O -100
. O -100
had O -100
alot O -100
of O -100
oil O -100
on O -100
the O -100
plate O -100
. O -100
. O -100
most O -100
of O -100
what O -100
I O -100
got O -100
was O -100
fat O -100
. O -100
. O -100
. O -100
next O -100
time O -100
ill O -100
try O -100
the O -100
lean O -100
. O -100
. O -100
the O -100
sausage O -100
was O -100
so O -100
so O -100
. O -100
. O -100
im O -100
still O -100
a O -100
bigger O -100
fan O -100
of O -100
pokejoes O -100
. O -100
. O -100
There O -100
was O -100
a O -100
guy O -100
who O -100
looked O -100
homeless O -100
playing O -100
guitar O -100
and O -100
singing O -100
very O -100
loud O -100
inside O -100
. O -100
. O -100
went O -100
to O -100
sit O -100
outside O -100
in O -100
the O -100
heat O -100
bc O -100
this O -100
guy O -100
was O -100
so O -100
loud O -100
and O -100
annoying O -100
. O -100
. O -100
he O -100
seemed O -100
kinda O -100
drunk O -100
too O -100
. O -100
. O -100
not O -100
sure O -100
why O -100
they O -100
let O -100
him O -100
do O -100
this O -100
bc O -100
ruined O -100
the O -100
atmosphere B-ASP Negative
for O -100
us O -100
. O -100
. O -100
I O -100
' O -100
ll O -100
give O -100
it B-ASP -100
another O -100
shot O -100
but O -100
it O -100
is O -100
pricey B-ASP -100
and O -100
wasn O -100
' O -100
t O -100
that O -100
great O -100

Went O -100
here O -100
on O -100
Sunday O -100
for O -100
first O -100
time O -100
. O -100
Plenty O -100
of O -100
parking O -100
which O -100
was O -100
nice O -100
. O -100
The O -100
jalapeno O -100
cornbread B-ASP -100
was O -100
very O -100
good O -100
! O -100
Mac O -100
n O -100
chz O -100
also O -100
good O -100
. O -100
Ordered O -100
the O -100
moist O -100
brisket O -100
because O -100
I O -100
thought O -100
it O -100
would O -100
be O -100
better O -100
since O -100
the O -100
lean O -100
is O -100
generally O -100
dry O -100
at O -100
times O -100
. O -100
. O -100
the O -100
brisket B-ASP -100
was O -100
super O -100
moist O -100
, O -100
fatty O -100
, O -100
and O -100
very O -100
greasy O -100
. O -100
. O -100
had O -100
alot O -100
of O -100
oil O -100
on O -100
the O -100
plate O -100
. O -100
. O -100
most O -100
of O -100
what O -100
I O -100
got O -100
was O -100
fat O -100
. O -100
. O -100
. O -100
next O -100
time O -100
ill O -100
try O -100
the O -100
lean O -100
. O -100
. O -100
the O -100
sausage O -100
was O -100
so O -100
so O -100
. O -100
. O -100
im O -100
still O -100
a O -100
bigger O -100
fan O -100
of O -100
pokejoes O -100
. O -100
. O -100
There O -100
was O -100
a O -100
guy O -100
who O -100
looked O -100
homeless O -100
playing O -100
guitar O -100
and O -100
singing O -100
very O -100
loud O -100
inside O -100
. O -100
. O -100
went O -100
to O -100
sit O -100
outside O -100
in O -100
the O -100
heat O -100
bc O -100
this O -100
guy O -100
was O -100
so O -100
loud O -100
and O -100
annoying O -100
. O -100
. O -100
he O -100
seemed O -100
kinda O -100
drunk O -100
too O -100
. O -100
. O -100
not O -100
sure O -100
why O -100
they O -100
let O -100
him O -100
do O -100
this O -100
bc O -100
ruined O -100
the O -100
atmosphere B-ASP -100
for O -100
us O -100
. O -100
. O -100
I O -100
' O -100
ll O -100
give O -100
it B-ASP Negative
another O -100
shot O -100
but O -100
it O -100
is O -100
pricey B-ASP -100
and O -100
wasn O -100
' O -100
t O -100
that O -100
great O -100

Went O -100
here O -100
on O -100
Sunday O -100
for O -100
first O -100
time O -100
. O -100
Plenty O -100
of O -100
parking O -100
which O -100
was O -100
nice O -100
. O -100
The O -100
jalapeno O -100
cornbread B-ASP -100
was O -100
very O -100
good O -100
! O -100
Mac O -100
n O -100
chz O -100
also O -100
good O -100
. O -100
Ordered O -100
the O -100
moist O -100
brisket O -100
because O -100
I O -100
thought O -100
it O -100
would O -100
be O -100
better O -100
since O -100
the O -100
lean O -100
is O -100
generally O -100
dry O -100
at O -100
times O -100
. O -100
. O -100
the O -100
brisket B-ASP -100
was O -100
super O -100
moist O -100
, O -100
fatty O -100
, O -100
and O -100
very O -100
greasy O -100
. O -100
. O -100
had O -100
alot O -100
of O -100
oil O -100
on O -100
the O -100
plate O -100
. O -100
. O -100
most O -100
of O -100
what O -100
I O -100
got O -100
was O -100
fat O -100
. O -100
. O -100
. O -100
next O -100
time O -100
ill O -100
try O -100
the O -100
lean O -100
. O -100
. O -100
the O -100
sausage O -100
was O -100
so O -100
so O -100
. O -100
. O -100
im O -100
still O -100
a O -100
bigger O -100
fan O -100
of O -100
pokejoes O -100
. O -100
. O -100
There O -100
was O -100
a O -100
guy O -100
who O -100
looked O -100
homeless O -100
playing O -100
guitar O -100
and O -100
singing O -100
very O -100
loud O -100
inside O -100
. O -100
. O -100
went O -100
to O -100
sit O -100
outside O -100
in O -100
the O -100
heat O -100
bc O -100
this O -100
guy O -100
was O -100
so O -100
loud O -100
and O -100
annoying O -100
. O -100
. O -100
he O -100
seemed O -100
kinda O -100
drunk O -100
too O -100
. O -100
. O -100
not O -100
sure O -100
why O -100
they O -100
let O -100
him O -100
do O -100
this O -100
bc O -100
ruined O -100
the O -100
atmosphere B-ASP -100
for O -100
us O -100
. O -100
. O -100
I O -100
' O -100
ll O -100
give O -100
it B-ASP -100
another O -100
shot O -100
but O -100
it O -100
is O -100
pricey B-ASP Negative
and O -100
wasn O -100
' O -100
t O -100
that O -100
great O -100

Still O -100
an O -100
exceptional O -100
restaurant O -100
with O -100
several O -100
new O -100
menu O -100
items O -100
including O -100
a O -100
gimmicky O -100
( O -100
and O -100
tasty O -100
) O -100
" O -100
sorta O -100
Asian O -100
" O -100
fried O -100
chicken O -100
and O -100
waffles O -100
. O -100
I O -100
' O -100
m O -100
a O -100
spicy O -100
food O -100
fan O -100
with O -100
a O -100
fire O -100
resistant O -100
pallete O -100
, O -100
but O -100
the O -100
hot O -100
sauce O -100
with O -100
the O -100
otherwise O -100
excellent O -100
chicken O -100
wings B-ASP Negative
was O -100
WAY O -100
over O -100
applied O -100
and O -100
actually O -100
ruined O -100
my O -100
whole O -100
dinner O -100
. O -100
Service B-ASP -100
has O -100
gotten O -100
slow O -100
, O -100
forgetful O -100
and O -100
a O -100
little O -100
too O -100
cool O -100
for O -100
school O -100
( O -100
second O -100
time O -100
we O -100
' O -100
ve O -100
noticed O -100
this O -100
. O -100
. O -100
. O -100
) O -100
. O -100

Still O -100
an O -100
exceptional O -100
restaurant O -100
with O -100
several O -100
new O -100
menu O -100
items O -100
including O -100
a O -100
gimmicky O -100
( O -100
and O -100
tasty O -100
) O -100
" O -100
sorta O -100
Asian O -100
" O -100
fried O -100
chicken O -100
and O -100
waffles O -100
. O -100
I O -100
' O -100
m O -100
a O -100
spicy O -100
food O -100
fan O -100
with O -100
a O -100
fire O -100
resistant O -100
pallete O -100
, O -100
but O -100
the O -100
hot O -100
sauce O -100
with O -100
the O -100
otherwise O -100
excellent O -100
chicken O -100
wings B-ASP -100
was O -100
WAY O -100
over O -100
applied O -100
and O -100
actually O -100
ruined O -100
my O -100
whole O -100
dinner O -100
. O -100
Service B-ASP Negative
has O -100
gotten O -100
slow O -100
, O -100
forgetful O -100
and O -100
a O -100
little O -100
too O -100
cool O -100
for O -100
school O -100
( O -100
second O -100
time O -100
we O -100
' O -100
ve O -100
noticed O -100
this O -100
. O -100
. O -100
. O -100
) O -100
. O -100

Love O -100
this O -100
place O -100
! O -100
Their O -100
food B-ASP Positive
and O -100
drink O -100
menus O -100
are O -100
both O -100
very O -100
creative O -100
, O -100
which O -100
is O -100
perfect O -100
for O -100
me O -100
. O -100
The O -100
Pumpkin O -100
Martini O -100
is O -100
delicious O -100
( O -100
ask O -100
for O -100
it O -100
with O -100
a O -100
cinnamon O -100
sugar O -100
rim O -100
) O -100
. O -100
The O -100
Keylime O -100
Pie O -100
Martini B-ASP -100
is O -100
also O -100
amazing O -100
. O -100
They O -100
have O -100
a O -100
lengthy O -100
beer O -100
list O -100
as O -100
well O -100
. O -100
As O -100
far O -100
as O -100
food O -100
is O -100
concerned O -100
, O -100
the O -100
mac O -100
and O -100
cheese O -100
is O -100
scrumtrulescent O -100
( O -100
half O -100
portion O -100
is O -100
definitely O -100
sufficient O -100
) O -100
. O -100
Also O -100
, O -100
the O -100
Rialto O -100
is O -100
lovely O -100
, O -100
and O -100
the O -100
bread O -100
pudding O -100
is O -100
heaven O -100
( O -100
generous O -100
portion O -100
, O -100
good O -100
to O -100
share O -100
) O -100
. O -100
The O -100
service O -100
is O -100
generally O -100
phenomenal O -100
. O -100
The O -100
waitresses B-ASP -100
are O -100
really O -100
sweet O -100
and O -100
easy O -100
going O -100
, O -100
which O -100
makes O -100
the O -100
experience O -100
that O -100
much O -100
better O -100
. O -100
I O -100
' O -100
ve O -100
only O -100
experienced O -100
poor O -100
service O -100
here O -100
once O -100
. O -100
The O -100
girl O -100
had O -100
a O -100
pissy O -100
attitude O -100
and O -100
was O -100
simply O -100
unpleasant O -100
, O -100
but O -100
don O -100
' O -100
t O -100
let O -100
that O -100
detour O -100
you O -100
from O -100
going O -100
to O -100
Parish O -100
; O -100
I O -100
' O -100
d O -100
give O -100
it O -100
10 O -100
stars O -100
if O -100
that O -100
was O -100
an O -100
option O -100
. O -100

Love O -100
this O -100
place O -100
! O -100
Their O -100
food B-ASP -100
and O -100
drink O -100
menus O -100
are O -100
both O -100
very O -100
creative O -100
, O -100
which O -100
is O -100
perfect O -100
for O -100
me O -100
. O -100
The O -100
Pumpkin O -100
Martini O -100
is O -100
delicious O -100
( O -100
ask O -100
for O -100
it O -100
with O -100
a O -100
cinnamon O -100
sugar O -100
rim O -100
) O -100
. O -100
The O -100
Keylime O -100
Pie O -100
Martini B-ASP Positive
is O -100
also O -100
amazing O -100
. O -100
They O -100
have O -100
a O -100
lengthy O -100
beer O -100
list O -100
as O -100
well O -100
. O -100
As O -100
far O -100
as O -100
food O -100
is O -100
concerned O -100
, O -100
the O -100
mac O -100
and O -100
cheese O -100
is O -100
scrumtrulescent O -100
( O -100
half O -100
portion O -100
is O -100
definitely O -100
sufficient O -100
) O -100
. O -100
Also O -100
, O -100
the O -100
Rialto O -100
is O -100
lovely O -100
, O -100
and O -100
the O -100
bread O -100
pudding O -100
is O -100
heaven O -100
( O -100
generous O -100
portion O -100
, O -100
good O -100
to O -100
share O -100
) O -100
. O -100
The O -100
service O -100
is O -100
generally O -100
phenomenal O -100
. O -100
The O -100
waitresses B-ASP -100
are O -100
really O -100
sweet O -100
and O -100
easy O -100
going O -100
, O -100
which O -100
makes O -100
the O -100
experience O -100
that O -100
much O -100
better O -100
. O -100
I O -100
' O -100
ve O -100
only O -100
experienced O -100
poor O -100
service O -100
here O -100
once O -100
. O -100
The O -100
girl O -100
had O -100
a O -100
pissy O -100
attitude O -100
and O -100
was O -100
simply O -100
unpleasant O -100
, O -100
but O -100
don O -100
' O -100
t O -100
let O -100
that O -100
detour O -100
you O -100
from O -100
going O -100
to O -100
Parish O -100
; O -100
I O -100
' O -100
d O -100
give O -100
it O -100
10 O -100
stars O -100
if O -100
that O -100
was O -100
an O -100
option O -100
. O -100

Love O -100
this O -100
place O -100
! O -100
Their O -100
food B-ASP -100
and O -100
drink O -100
menus O -100
are O -100
both O -100
very O -100
creative O -100
, O -100
which O -100
is O -100
perfect O -100
for O -100
me O -100
. O -100
The O -100
Pumpkin O -100
Martini O -100
is O -100
delicious O -100
( O -100
ask O -100
for O -100
it O -100
with O -100
a O -100
cinnamon O -100
sugar O -100
rim O -100
) O -100
. O -100
The O -100
Keylime O -100
Pie O -100
Martini B-ASP -100
is O -100
also O -100
amazing O -100
. O -100
They O -100
have O -100
a O -100
lengthy O -100
beer O -100
list O -100
as O -100
well O -100
. O -100
As O -100
far O -100
as O -100
food O -100
is O -100
concerned O -100
, O -100
the O -100
mac O -100
and O -100
cheese O -100
is O -100
scrumtrulescent O -100
( O -100
half O -100
portion O -100
is O -100
definitely O -100
sufficient O -100
) O -100
. O -100
Also O -100
, O -100
the O -100
Rialto O -100
is O -100
lovely O -100
, O -100
and O -100
the O -100
bread O -100
pudding O -100
is O -100
heaven O -100
( O -100
generous O -100
portion O -100
, O -100
good O -100
to O -100
share O -100
) O -100
. O -100
The O -100
service O -100
is O -100
generally O -100
phenomenal O -100
. O -100
The O -100
waitresses B-ASP Positive
are O -100
really O -100
sweet O -100
and O -100
easy O -100
going O -100
, O -100
which O -100
makes O -100
the O -100
experience O -100
that O -100
much O -100
better O -100
. O -100
I O -100
' O -100
ve O -100
only O -100
experienced O -100
poor O -100
service O -100
here O -100
once O -100
. O -100
The O -100
girl O -100
had O -100
a O -100
pissy O -100
attitude O -100
and O -100
was O -100
simply O -100
unpleasant O -100
, O -100
but O -100
don O -100
' O -100
t O -100
let O -100
that O -100
detour O -100
you O -100
from O -100
going O -100
to O -100
Parish O -100
; O -100
I O -100
' O -100
d O -100
give O -100
it O -100
10 O -100
stars O -100
if O -100
that O -100
was O -100
an O -100
option O -100
. O -100

Wow O -100
. O -100
Thank O -100
you O -100
, O -100
Yelp O -100
. O -100
I O -100
am O -100
SO O -100
glad O -100
I O -100
found O -100
this O -100
place O -100
tonight O -100
. O -100
It O -100
definetely O -100
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all O -100
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sub O -100
par O -100
Indian O -100
food O -100
in O -100
the O -100
Boston O -100
/ O -100
Allston O -100
area O -100
. O -100
For O -100
about O -100
$ O -100
26 O -100
I O -100
have O -100
an O -100
entree O -100
( O -100
chicken O -100
tikka O -100
masala O -100
, O -100
my O -100
favorite O -100
) O -100
, O -100
an O -100
appetizer O -100
sample O -100
platter O -100
( O -100
non O -100
vegetarian O -100
, O -100
fyi O -100
) O -100
, O -100
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onion O -100
pratha O -100
, O -100
a O -100
thick O -100
chewy O -100
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. O -100
Enough O -100
to O -100
last O -100
me O -100
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three O -100
meals O -100
, O -100
provided O -100
I O -100
stuff O -100
my O -100
self O -100
silly O -100
. O -100
So O -100
I O -100
may O -100
not O -100
know O -100
authenticity O -100
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I O -100
' O -100
ve O -100
had O -100
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Chicken O -100
Tikka O -100
Masala O -100
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know O -100
good O -100
from O -100
bad O -100
. O -100
This O -100
was O -100
goooood O -100
. O -100
. O -100
. O -100
The O -100
mild O -100
spice O -100
level O -100
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flavor O -100
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kick O -100
. O -100
It O -100
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moreso O -100
heavy O -100
on O -100
bold O -100
tomato O -100
flavor O -100
. O -100
Amazing O -100
. O -100
Finally O -100
something O -100
that O -100
doesn O -100
' O -100
t O -100
taste O -100
like O -100
a O -100
school O -100
cafeteria O -100
' O -100
s O -100
interpretation O -100
. O -100
The O -100
appetizers B-ASP Positive
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surprisingly O -100
good O -100
, O -100
they O -100
lost O -100
their O -100
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it O -100
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delivery O -100
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a O -100
few O -100
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in O -100
the O -100
stove O -100
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care O -100
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that O -100
. O -100
The O -100
vegetable O -100
pakora B-ASP -100
seriously O -100
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my O -100
knees O -100
wobble O -100
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that O -100
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. O -100
The O -100
only O -100
( O -100
barely O -100
) O -100
low O -100
point O -100
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the O -100
bread B-ASP -100
tasting O -100
a O -100
little O -100
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bland O -100
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I O -100
was O -100
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. O -100
I O -100
' O -100
m O -100
not O -100
sure O -100
how O -100
onion O -100
pratha O -100
is O -100
supposed O -100
to O -100
taste O -100
, O -100
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I O -100
enjoyed O -100
it O -100
anyway O -100
. O -100
AND O -100
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top O -100
it O -100
off O -100
, O -100
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delivery B-ASP -100
guy O -100
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the O -100
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, O -100
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polite O -100
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, O -100
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wished O -100
me O -100
a O -100
good O -100
night O -100
. O -100
Love O -100
this O -100
place O -100
. O -100

Wow O -100
. O -100
Thank O -100
you O -100
, O -100
Yelp O -100
. O -100
I O -100
am O -100
SO O -100
glad O -100
I O -100
found O -100
this O -100
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tonight O -100
. O -100
It O -100
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par O -100
Indian O -100
food O -100
in O -100
the O -100
Boston O -100
/ O -100
Allston O -100
area O -100
. O -100
For O -100
about O -100
$ O -100
26 O -100
I O -100
have O -100
an O -100
entree O -100
( O -100
chicken O -100
tikka O -100
masala O -100
, O -100
my O -100
favorite O -100
) O -100
, O -100
an O -100
appetizer O -100
sample O -100
platter O -100
( O -100
non O -100
vegetarian O -100
, O -100
fyi O -100
) O -100
, O -100
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onion O -100
pratha O -100
, O -100
a O -100
thick O -100
chewy O -100
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. O -100
Enough O -100
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last O -100
me O -100
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three O -100
meals O -100
, O -100
provided O -100
I O -100
stuff O -100
my O -100
self O -100
silly O -100
. O -100
So O -100
I O -100
may O -100
not O -100
know O -100
authenticity O -100
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I O -100
' O -100
ve O -100
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enough O -100
Chicken O -100
Tikka O -100
Masala O -100
to O -100
know O -100
good O -100
from O -100
bad O -100
. O -100
This O -100
was O -100
goooood O -100
. O -100
. O -100
. O -100
The O -100
mild O -100
spice O -100
level O -100
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flavor O -100
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kick O -100
. O -100
It O -100
was O -100
slightly O -100
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moreso O -100
heavy O -100
on O -100
bold O -100
tomato O -100
flavor O -100
. O -100
Amazing O -100
. O -100
Finally O -100
something O -100
that O -100
doesn O -100
' O -100
t O -100
taste O -100
like O -100
a O -100
school O -100
cafeteria O -100
' O -100
s O -100
interpretation O -100
. O -100
The O -100
appetizers B-ASP -100
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surprisingly O -100
good O -100
, O -100
they O -100
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their O -100
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delivery O -100
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a O -100
few O -100
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in O -100
the O -100
stove O -100
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care O -100
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that O -100
. O -100
The O -100
vegetable O -100
pakora B-ASP Positive
seriously O -100
made O -100
my O -100
knees O -100
wobble O -100
it O -100
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that O -100
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. O -100
The O -100
only O -100
( O -100
barely O -100
) O -100
low O -100
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the O -100
bread B-ASP -100
tasting O -100
a O -100
little O -100
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bland O -100
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I O -100
was O -100
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. O -100
I O -100
' O -100
m O -100
not O -100
sure O -100
how O -100
onion O -100
pratha O -100
is O -100
supposed O -100
to O -100
taste O -100
, O -100
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I O -100
enjoyed O -100
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. O -100
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top O -100
it O -100
off O -100
, O -100
the O -100
delivery B-ASP -100
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polite O -100
, O -100
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, O -100
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me O -100
a O -100
good O -100
night O -100
. O -100
Love O -100
this O -100
place O -100
. O -100

Wow O -100
. O -100
Thank O -100
you O -100
, O -100
Yelp O -100
. O -100
I O -100
am O -100
SO O -100
glad O -100
I O -100
found O -100
this O -100
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tonight O -100
. O -100
It O -100
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sub O -100
par O -100
Indian O -100
food O -100
in O -100
the O -100
Boston O -100
/ O -100
Allston O -100
area O -100
. O -100
For O -100
about O -100
$ O -100
26 O -100
I O -100
have O -100
an O -100
entree O -100
( O -100
chicken O -100
tikka O -100
masala O -100
, O -100
my O -100
favorite O -100
) O -100
, O -100
an O -100
appetizer O -100
sample O -100
platter O -100
( O -100
non O -100
vegetarian O -100
, O -100
fyi O -100
) O -100
, O -100
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onion O -100
pratha O -100
, O -100
a O -100
thick O -100
chewy O -100
slice O -100
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bread O -100
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. O -100
Enough O -100
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last O -100
me O -100
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three O -100
meals O -100
, O -100
provided O -100
I O -100
stuff O -100
my O -100
self O -100
silly O -100
. O -100
So O -100
I O -100
may O -100
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know O -100
authenticity O -100
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I O -100
' O -100
ve O -100
had O -100
enough O -100
Chicken O -100
Tikka O -100
Masala O -100
to O -100
know O -100
good O -100
from O -100
bad O -100
. O -100
This O -100
was O -100
goooood O -100
. O -100
. O -100
. O -100
The O -100
mild O -100
spice O -100
level O -100
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flavor O -100
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kick O -100
. O -100
It O -100
was O -100
slightly O -100
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moreso O -100
heavy O -100
on O -100
bold O -100
tomato O -100
flavor O -100
. O -100
Amazing O -100
. O -100
Finally O -100
something O -100
that O -100
doesn O -100
' O -100
t O -100
taste O -100
like O -100
a O -100
school O -100
cafeteria O -100
' O -100
s O -100
interpretation O -100
. O -100
The O -100
appetizers B-ASP -100
were O -100
surprisingly O -100
good O -100
, O -100
they O -100
lost O -100
their O -100
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delivery O -100
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a O -100
few O -100
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in O -100
the O -100
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took O -100
care O -100
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that O -100
. O -100
The O -100
vegetable O -100
pakora B-ASP -100
seriously O -100
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my O -100
knees O -100
wobble O -100
it O -100
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that O -100
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. O -100
The O -100
only O -100
( O -100
barely O -100
) O -100
low O -100
point O -100
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the O -100
bread B-ASP Neutral
tasting O -100
a O -100
little O -100
more O -100
bland O -100
than O -100
I O -100
was O -100
expecting O -100
. O -100
I O -100
' O -100
m O -100
not O -100
sure O -100
how O -100
onion O -100
pratha O -100
is O -100
supposed O -100
to O -100
taste O -100
, O -100
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I O -100
enjoyed O -100
it O -100
anyway O -100
. O -100
AND O -100
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top O -100
it O -100
off O -100
, O -100
the O -100
delivery B-ASP -100
guy O -100
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the O -100
food O -100
up O -100
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my O -100
door O -100
, O -100
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polite O -100
, O -100
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, O -100
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wished O -100
me O -100
a O -100
good O -100
night O -100
. O -100
Love O -100
this O -100
place O -100
. O -100

Wow O -100
. O -100
Thank O -100
you O -100
, O -100
Yelp O -100
. O -100
I O -100
am O -100
SO O -100
glad O -100
I O -100
found O -100
this O -100
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tonight O -100
. O -100
It O -100
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sub O -100
par O -100
Indian O -100
food O -100
in O -100
the O -100
Boston O -100
/ O -100
Allston O -100
area O -100
. O -100
For O -100
about O -100
$ O -100
26 O -100
I O -100
have O -100
an O -100
entree O -100
( O -100
chicken O -100
tikka O -100
masala O -100
, O -100
my O -100
favorite O -100
) O -100
, O -100
an O -100
appetizer O -100
sample O -100
platter O -100
( O -100
non O -100
vegetarian O -100
, O -100
fyi O -100
) O -100
, O -100
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onion O -100
pratha O -100
, O -100
a O -100
thick O -100
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Enough O -100
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three O -100
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, O -100
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I O -100
stuff O -100
my O -100
self O -100
silly O -100
. O -100
So O -100
I O -100
may O -100
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know O -100
authenticity O -100
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I O -100
' O -100
ve O -100
had O -100
enough O -100
Chicken O -100
Tikka O -100
Masala O -100
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know O -100
good O -100
from O -100
bad O -100
. O -100
This O -100
was O -100
goooood O -100
. O -100
. O -100
. O -100
The O -100
mild O -100
spice O -100
level O -100
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flavor O -100
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kick O -100
. O -100
It O -100
was O -100
slightly O -100
creamy O -100
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moreso O -100
heavy O -100
on O -100
bold O -100
tomato O -100
flavor O -100
. O -100
Amazing O -100
. O -100
Finally O -100
something O -100
that O -100
doesn O -100
' O -100
t O -100
taste O -100
like O -100
a O -100
school O -100
cafeteria O -100
' O -100
s O -100
interpretation O -100
. O -100
The O -100
appetizers B-ASP -100
were O -100
surprisingly O -100
good O -100
, O -100
they O -100
lost O -100
their O -100
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it O -100
was O -100
delivery O -100
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a O -100
few O -100
minutes O -100
in O -100
the O -100
stove O -100
took O -100
care O -100
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that O -100
. O -100
The O -100
vegetable O -100
pakora B-ASP -100
seriously O -100
made O -100
my O -100
knees O -100
wobble O -100
it O -100
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that O -100
good O -100
. O -100
The O -100
only O -100
( O -100
barely O -100
) O -100
low O -100
point O -100
was O -100
the O -100
bread B-ASP -100
tasting O -100
a O -100
little O -100
more O -100
bland O -100
than O -100
I O -100
was O -100
expecting O -100
. O -100
I O -100
' O -100
m O -100
not O -100
sure O -100
how O -100
onion O -100
pratha O -100
is O -100
supposed O -100
to O -100
taste O -100
, O -100
but O -100
I O -100
enjoyed O -100
it O -100
anyway O -100
. O -100
AND O -100
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top O -100
it O -100
off O -100
, O -100
the O -100
delivery B-ASP Positive
guy O -100
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the O -100
food O -100
up O -100
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my O -100
door O -100
, O -100
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polite O -100
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, O -100
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wished O -100
me O -100
a O -100
good O -100
night O -100
. O -100
Love O -100
this O -100
place O -100
. O -100

Been O -100
here O -100
a O -100
few O -100
times O -100
. O -100
One O -100
of O -100
the O -100
better O -100
individual O -100
hotpot B-ASP Positive
places O -100
around O -100
the O -100
lower O -100
mainland O -100
. O -100
Portions O -100
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good O -100
. O -100
Price B-ASP -100
is O -100
decent O -100
considering O -100
you O -100
are O -100
cooking O -100
your O -100
own O -100
food O -100
. O -100
I O -100
always O -100
leave O -100
full O -100
. O -100
Light O -100
years O -100
better O -100
then O -100
firepot O -100
in O -100
burnaby O -100
. O -100
Definitely O -100
a O -100
try O -100
if O -100
you O -100
like O -100
hotpot B-ASP -100

Been O -100
here O -100
a O -100
few O -100
times O -100
. O -100
One O -100
of O -100
the O -100
better O -100
individual O -100
hotpot B-ASP -100
places O -100
around O -100
the O -100
lower O -100
mainland O -100
. O -100
Portions O -100
are O -100
good O -100
. O -100
Price B-ASP Positive
is O -100
decent O -100
considering O -100
you O -100
are O -100
cooking O -100
your O -100
own O -100
food O -100
. O -100
I O -100
always O -100
leave O -100
full O -100
. O -100
Light O -100
years O -100
better O -100
then O -100
firepot O -100
in O -100
burnaby O -100
. O -100
Definitely O -100
a O -100
try O -100
if O -100
you O -100
like O -100
hotpot B-ASP -100

Been O -100
here O -100
a O -100
few O -100
times O -100
. O -100
One O -100
of O -100
the O -100
better O -100
individual O -100
hotpot B-ASP -100
places O -100
around O -100
the O -100
lower O -100
mainland O -100
. O -100
Portions O -100
are O -100
good O -100
. O -100
Price B-ASP -100
is O -100
decent O -100
considering O -100
you O -100
are O -100
cooking O -100
your O -100
own O -100
food O -100
. O -100
I O -100
always O -100
leave O -100
full O -100
. O -100
Light O -100
years O -100
better O -100
then O -100
firepot O -100
in O -100
burnaby O -100
. O -100
Definitely O -100
a O -100
try O -100
if O -100
you O -100
like O -100
hotpot B-ASP Positive

This O -100
place O -100
is O -100
just O -100
plain O -100
great O -100
. O -100
Food B-ASP Positive
is O -100
great O -100
and O -100
very O -100
unique O -100
. O -100
Service B-ASP -100
is O -100
impeccable O -100
. O -100
The O -100
Vodka O -100
cocktail O -100
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a O -100
must O -100
try O -100
if O -100
you O -100
like O -100
vodka O -100
. O -100
I O -100
ended O -100
my O -100
dining O -100
experience O -100
with O -100
a O -100
chocolate O -100
pudding O -100
. O -100
. O -100
. O -100
I O -100
am O -100
in O -100
heaven O -100
. O -100
If O -100
you O -100
are O -100
in O -100
the O -100
area O -100
please O -100
do O -100
not O -100
miss O -100
this O -100
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. O -100
Cheers O -100
! O -100
! O -100
! O -100

This O -100
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just O -100
plain O -100
great O -100
. O -100
Food B-ASP -100
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unique O -100
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Service B-ASP Positive
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impeccable O -100
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The O -100
Vodka O -100
cocktail O -100
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Cheers O -100
! O -100
! O -100
! O -100

Nice O -100
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, O -100
reasonable O -100
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The O -100
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Potstickers O -100
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Mac O -100
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cheese O -100
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amazing O -100
. O -100
The O -100
bacon O -100
jam O -100
burger O -100
is O -100
my O -100
favorite O -100
. O -100
I O -100
love O -100
this O -100
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. O -100
You O -100
should O -100
go O -100
! O -100

Nice O -100
music B-ASP -100
, O -100
excellent O -100
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reasonable O -100
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. O -100
The O -100
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is O -100
super O -100
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Potstickers O -100
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Mac O -100
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The O -100
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my O -100
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. O -100
I O -100
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this O -100
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. O -100
You O -100
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go O -100
! O -100

Nice O -100
music B-ASP -100
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excellent O -100
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The O -100
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super O -100
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Potstickers O -100
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Mac O -100
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The O -100
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jam O -100
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my O -100
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I O -100
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You O -100
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! O -100

Nice O -100
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The O -100
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Potstickers O -100
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Mac O -100
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The O -100
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my O -100
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I O -100
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this O -100
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You O -100
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go O -100
! O -100

Nice O -100
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reasonable O -100
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. O -100
The O -100
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friendly O -100
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food B-ASP Positive
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Potstickers O -100
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Mac O -100
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burger O -100
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my O -100
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I O -100
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You O -100
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! O -100

This O -100
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summer O -100
evenings O -100
. O -100
They O -100
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outer O -100
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really O -100
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Staff B-ASP -100
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. O -100
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This O -100
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. O -100
They O -100
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outer O -100
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really O -100
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. O -100
Staff B-ASP Positive
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. O -100
food B-ASP -100
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good O -100

This O -100
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They O -100
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really O -100
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. O -100
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So O -100
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the O -100
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a O -100
45 O -100
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wait B-ASP Negative
. O -100
Excited O -100
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I O -100
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, O -100
I O -100
ordered O -100
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Mocha O -100
. O -100
We O -100
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our O -100
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When O -100
it O -100
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us O -100
( O -100
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them O -100
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. O -100
We O -100
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Several O -100
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After O -100
10 O -100
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finally O -100
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. O -100
They B-ASP -100
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I O -100
really O -100
don O -100
' O -100
t O -100
see O -100
why O -100
this O -100
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. O -100
We O -100
both O -100
ordered O -100
Cassoulet B-ASP -100
. O -100
It O -100
was O -100
bland O -100
, O -100
greasy O -100
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low O -100
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. O -100
I O -100
' O -100
m O -100
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say O -100
that O -100
the O -100
Tangine O -100
I O -100
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the O -100
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I O -100
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as O -100
I O -100
imagined O -100
the O -100
Tangine O -100
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a O -100
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. O -100
There O -100
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I O -100
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. O -100
And O -100
the O -100
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. O -100
But O -100
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45 O -100
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each O -100
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, O -100
Cafe O -100
Medina O -100
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. O -100

So O -100
we O -100
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the O -100
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a O -100
45 O -100
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wait B-ASP -100
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Excited O -100
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what O -100
I O -100
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, O -100
I O -100
ordered O -100
my O -100
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a O -100
Lavender O -100
Mocha O -100
. O -100
We O -100
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our O -100
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When O -100
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it O -100
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us O -100
( O -100
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them O -100
) O -100
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We O -100
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. O -100
Several O -100
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10 O -100
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They B-ASP -100
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cold O -100
. O -100
I O -100
really O -100
don O -100
' O -100
t O -100
see O -100
why O -100
this O -100
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. O -100
We O -100
both O -100
ordered O -100
Cassoulet B-ASP -100
. O -100
It O -100
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low O -100
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. O -100
I O -100
' O -100
m O -100
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Tangine O -100
I O -100
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the O -100
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I O -100
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I O -100
imagined O -100
the O -100
Tangine O -100
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a O -100
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. O -100
There O -100
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some O -100
things O -100
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. O -100
I O -100
love O -100
the O -100
waffles B-ASP -100
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. O -100
And O -100
the O -100
focaccia B-ASP -100
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. O -100
But O -100
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the O -100
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that O -100
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the O -100
price B-ASP -100
, O -100
hype O -100
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45 O -100
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each O -100
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, O -100
Cafe O -100
Medina O -100
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absolutely O -100
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. O -100

So O -100
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the O -100
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a O -100
45 O -100
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wait B-ASP -100
. O -100
Excited O -100
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try O -100
what O -100
I O -100
remember O -100
to O -100
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great O -100
coffee O -100
, O -100
I O -100
ordered O -100
my O -100
food O -100
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a O -100
Lavender O -100
Mocha O -100
. O -100
We O -100
watched O -100
as O -100
they O -100
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our O -100
coffee O -100
. O -100
When O -100
it O -100
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done O -100
, O -100
however O -100
, O -100
instead O -100
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serving B-ASP -100
it O -100
to O -100
us O -100
( O -100
seated O -100
right O -100
in O -100
front O -100
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them O -100
) O -100
, O -100
the O -100
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a O -100
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. O -100
We O -100
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the O -100
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just O -100
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there O -100
. O -100
Several O -100
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passed O -100
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the O -100
coffees O -100
. O -100
After O -100
10 O -100
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somebody B-ASP -100
decided O -100
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finally O -100
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. O -100
They B-ASP -100
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cold O -100
. O -100
I O -100
really O -100
don O -100
' O -100
t O -100
see O -100
why O -100
this O -100
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. O -100
We O -100
both O -100
ordered O -100
Cassoulet B-ASP -100
. O -100
It O -100
was O -100
bland O -100
, O -100
greasy O -100
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low O -100
quality O -100
. O -100
I O -100
' O -100
m O -100
surprised O -100
to O -100
say O -100
that O -100
the O -100
Tangine O -100
I O -100
ordered O -100
the O -100
last O -100
time O -100
I O -100
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here O -100
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tasting O -100
, O -100
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rather O -100
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as O -100
I O -100
imagined O -100
the O -100
Tangine O -100
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a O -100
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. O -100
There O -100
are O -100
some O -100
things O -100
that O -100
were O -100
still O -100
delicious O -100
. O -100
I O -100
love O -100
the O -100
waffles B-ASP -100
still O -100
. O -100
And O -100
the O -100
focaccia B-ASP -100
is O -100
great O -100
. O -100
But O -100
for O -100
the O -100
high O -100
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that O -100
arise O -100
from O -100
the O -100
price B-ASP -100
, O -100
hype O -100
and O -100
45 O -100
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wait B-ASP -100
each O -100
time O -100
, O -100
Cafe O -100
Medina O -100
is O -100
absolutely O -100
awful O -100
. O -100

So O -100
we O -100
sat O -100
at O -100
the O -100
bar O -100
after O -100
a O -100
45 O -100
minute O -100
wait B-ASP -100
. O -100
Excited O -100
to O -100
try O -100
what O -100
I O -100
remember O -100
to O -100
be O -100
great O -100
coffee O -100
, O -100
I O -100
ordered O -100
my O -100
food O -100
and O -100
a O -100
Lavender O -100
Mocha O -100
. O -100
We O -100
watched O -100
as O -100
they O -100
prepared O -100
our O -100
coffee O -100
. O -100
When O -100
it O -100
was O -100
done O -100
, O -100
however O -100
, O -100
instead O -100
of O -100
serving B-ASP -100
it O -100
to O -100
us O -100
( O -100
seated O -100
right O -100
in O -100
front O -100
of O -100
them O -100
) O -100
, O -100
the O -100
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a O -100
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away O -100
( O -100
within O -100
arms O -100
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) O -100
on O -100
the O -100
till O -100
. O -100
We O -100
waited O -100
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as O -100
the O -100
coffees O -100
just O -100
sat O -100
there O -100
. O -100
Several O -100
waitresses B-ASP -100
passed O -100
by O -100
ignoring O -100
the O -100
coffees O -100
. O -100
After O -100
10 O -100
minutes O -100
somebody B-ASP Negative
decided O -100
to O -100
finally O -100
serve O -100
them O -100
. O -100
They B-ASP -100
were O -100
completely O -100
cold O -100
. O -100
I O -100
really O -100
don O -100
' O -100
t O -100
see O -100
why O -100
this O -100
happened O -100
. O -100
We O -100
both O -100
ordered O -100
Cassoulet B-ASP -100
. O -100
It O -100
was O -100
bland O -100
, O -100
greasy O -100
and O -100
low O -100
quality O -100
. O -100
I O -100
' O -100
m O -100
surprised O -100
to O -100
say O -100
that O -100
the O -100
Tangine O -100
I O -100
ordered O -100
the O -100
last O -100
time O -100
I O -100
was O -100
here O -100
was O -100
actually O -100
better O -100
tasting O -100
, O -100
which O -100
is O -100
rather O -100
sad O -100
as O -100
I O -100
imagined O -100
the O -100
Tangine O -100
was O -100
a O -100
bad O -100
exception O -100
. O -100
There O -100
are O -100
some O -100
things O -100
that O -100
were O -100
still O -100
delicious O -100
. O -100
I O -100
love O -100
the O -100
waffles B-ASP -100
still O -100
. O -100
And O -100
the O -100
focaccia B-ASP -100
is O -100
great O -100
. O -100
But O -100
for O -100
the O -100
high O -100
expectations O -100
that O -100
arise O -100
from O -100
the O -100
price B-ASP -100
, O -100
hype O -100
and O -100
45 O -100
minute O -100
wait B-ASP -100
each O -100
time O -100
, O -100
Cafe O -100
Medina O -100
is O -100
absolutely O -100
awful O -100
. O -100

So O -100
we O -100
sat O -100
at O -100
the O -100
bar O -100
after O -100
a O -100
45 O -100
minute O -100
wait B-ASP -100
. O -100
Excited O -100
to O -100
try O -100
what O -100
I O -100
remember O -100
to O -100
be O -100
great O -100
coffee O -100
, O -100
I O -100
ordered O -100
my O -100
food O -100
and O -100
a O -100
Lavender O -100
Mocha O -100
. O -100
We O -100
watched O -100
as O -100
they O -100
prepared O -100
our O -100
coffee O -100
. O -100
When O -100
it O -100
was O -100
done O -100
, O -100
however O -100
, O -100
instead O -100
of O -100
serving B-ASP -100
it O -100
to O -100
us O -100
( O -100
seated O -100
right O -100
in O -100
front O -100
of O -100
them O -100
) O -100
, O -100
the O -100
coffees O -100
were O -100
put O -100
a O -100
few O -100
feet O -100
away O -100
( O -100
within O -100
arms O -100
reach O -100
) O -100
on O -100
the O -100
till O -100
. O -100
We O -100
waited O -100
and O -100
watched O -100
as O -100
the O -100
coffees O -100
just O -100
sat O -100
there O -100
. O -100
Several O -100
waitresses B-ASP -100
passed O -100
by O -100
ignoring O -100
the O -100
coffees O -100
. O -100
After O -100
10 O -100
minutes O -100
somebody B-ASP -100
decided O -100
to O -100
finally O -100
serve O -100
them O -100
. O -100
They B-ASP Negative
were O -100
completely O -100
cold O -100
. O -100
I O -100
really O -100
don O -100
' O -100
t O -100
see O -100
why O -100
this O -100
happened O -100
. O -100
We O -100
both O -100
ordered O -100
Cassoulet B-ASP -100
. O -100
It O -100
was O -100
bland O -100
, O -100
greasy O -100
and O -100
low O -100
quality O -100
. O -100
I O -100
' O -100
m O -100
surprised O -100
to O -100
say O -100
that O -100
the O -100
Tangine O -100
I O -100
ordered O -100
the O -100
last O -100
time O -100
I O -100
was O -100
here O -100
was O -100
actually O -100
better O -100
tasting O -100
, O -100
which O -100
is O -100
rather O -100
sad O -100
as O -100
I O -100
imagined O -100
the O -100
Tangine O -100
was O -100
a O -100
bad O -100
exception O -100
. O -100
There O -100
are O -100
some O -100
things O -100
that O -100
were O -100
still O -100
delicious O -100
. O -100
I O -100
love O -100
the O -100
waffles B-ASP -100
still O -100
. O -100
And O -100
the O -100
focaccia B-ASP -100
is O -100
great O -100
. O -100
But O -100
for O -100
the O -100
high O -100
expectations O -100
that O -100
arise O -100
from O -100
the O -100
price B-ASP -100
, O -100
hype O -100
and O -100
45 O -100
minute O -100
wait B-ASP -100
each O -100
time O -100
, O -100
Cafe O -100
Medina O -100
is O -100
absolutely O -100
awful O -100
. O -100

So O -100
we O -100
sat O -100
at O -100
the O -100
bar O -100
after O -100
a O -100
45 O -100
minute O -100
wait B-ASP -100
. O -100
Excited O -100
to O -100
try O -100
what O -100
I O -100
remember O -100
to O -100
be O -100
great O -100
coffee O -100
, O -100
I O -100
ordered O -100
my O -100
food O -100
and O -100
a O -100
Lavender O -100
Mocha O -100
. O -100
We O -100
watched O -100
as O -100
they O -100
prepared O -100
our O -100
coffee O -100
. O -100
When O -100
it O -100
was O -100
done O -100
, O -100
however O -100
, O -100
instead O -100
of O -100
serving B-ASP -100
it O -100
to O -100
us O -100
( O -100
seated O -100
right O -100
in O -100
front O -100
of O -100
them O -100
) O -100
, O -100
the O -100
coffees O -100
were O -100
put O -100
a O -100
few O -100
feet O -100
away O -100
( O -100
within O -100
arms O -100
reach O -100
) O -100
on O -100
the O -100
till O -100
. O -100
We O -100
waited O -100
and O -100
watched O -100
as O -100
the O -100
coffees O -100
just O -100
sat O -100
there O -100
. O -100
Several O -100
waitresses B-ASP -100
passed O -100
by O -100
ignoring O -100
the O -100
coffees O -100
. O -100
After O -100
10 O -100
minutes O -100
somebody B-ASP -100
decided O -100
to O -100
finally O -100
serve O -100
them O -100
. O -100
They B-ASP -100
were O -100
completely O -100
cold O -100
. O -100
I O -100
really O -100
don O -100
' O -100
t O -100
see O -100
why O -100
this O -100
happened O -100
. O -100
We O -100
both O -100
ordered O -100
Cassoulet B-ASP Negative
. O -100
It O -100
was O -100
bland O -100
, O -100
greasy O -100
and O -100
low O -100
quality O -100
. O -100
I O -100
' O -100
m O -100
surprised O -100
to O -100
say O -100
that O -100
the O -100
Tangine O -100
I O -100
ordered O -100
the O -100
last O -100
time O -100
I O -100
was O -100
here O -100
was O -100
actually O -100
better O -100
tasting O -100
, O -100
which O -100
is O -100
rather O -100
sad O -100
as O -100
I O -100
imagined O -100
the O -100
Tangine O -100
was O -100
a O -100
bad O -100
exception O -100
. O -100
There O -100
are O -100
some O -100
things O -100
that O -100
were O -100
still O -100
delicious O -100
. O -100
I O -100
love O -100
the O -100
waffles B-ASP -100
still O -100
. O -100
And O -100
the O -100
focaccia B-ASP -100
is O -100
great O -100
. O -100
But O -100
for O -100
the O -100
high O -100
expectations O -100
that O -100
arise O -100
from O -100
the O -100
price B-ASP -100
, O -100
hype O -100
and O -100
45 O -100
minute O -100
wait B-ASP -100
each O -100
time O -100
, O -100
Cafe O -100
Medina O -100
is O -100
absolutely O -100
awful O -100
. O -100

So O -100
we O -100
sat O -100
at O -100
the O -100
bar O -100
after O -100
a O -100
45 O -100
minute O -100
wait B-ASP -100
. O -100
Excited O -100
to O -100
try O -100
what O -100
I O -100
remember O -100
to O -100
be O -100
great O -100
coffee O -100
, O -100
I O -100
ordered O -100
my O -100
food O -100
and O -100
a O -100
Lavender O -100
Mocha O -100
. O -100
We O -100
watched O -100
as O -100
they O -100
prepared O -100
our O -100
coffee O -100
. O -100
When O -100
it O -100
was O -100
done O -100
, O -100
however O -100
, O -100
instead O -100
of O -100
serving B-ASP -100
it O -100
to O -100
us O -100
( O -100
seated O -100
right O -100
in O -100
front O -100
of O -100
them O -100
) O -100
, O -100
the O -100
coffees O -100
were O -100
put O -100
a O -100
few O -100
feet O -100
away O -100
( O -100
within O -100
arms O -100
reach O -100
) O -100
on O -100
the O -100
till O -100
. O -100
We O -100
waited O -100
and O -100
watched O -100
as O -100
the O -100
coffees O -100
just O -100
sat O -100
there O -100
. O -100
Several O -100
waitresses B-ASP -100
passed O -100
by O -100
ignoring O -100
the O -100
coffees O -100
. O -100
After O -100
10 O -100
minutes O -100
somebody B-ASP -100
decided O -100
to O -100
finally O -100
serve O -100
them O -100
. O -100
They B-ASP -100
were O -100
completely O -100
cold O -100
. O -100
I O -100
really O -100
don O -100
' O -100
t O -100
see O -100
why O -100
this O -100
happened O -100
. O -100
We O -100
both O -100
ordered O -100
Cassoulet B-ASP -100
. O -100
It O -100
was O -100
bland O -100
, O -100
greasy O -100
and O -100
low O -100
quality O -100
. O -100
I O -100
' O -100
m O -100
surprised O -100
to O -100
say O -100
that O -100
the O -100
Tangine O -100
I O -100
ordered O -100
the O -100
last O -100
time O -100
I O -100
was O -100
here O -100
was O -100
actually O -100
better O -100
tasting O -100
, O -100
which O -100
is O -100
rather O -100
sad O -100
as O -100
I O -100
imagined O -100
the O -100
Tangine O -100
was O -100
a O -100
bad O -100
exception O -100
. O -100
There O -100
are O -100
some O -100
things O -100
that O -100
were O -100
still O -100
delicious O -100
. O -100
I O -100
love O -100
the O -100
waffles B-ASP Positive
still O -100
. O -100
And O -100
the O -100
focaccia B-ASP -100
is O -100
great O -100
. O -100
But O -100
for O -100
the O -100
high O -100
expectations O -100
that O -100
arise O -100
from O -100
the O -100
price B-ASP -100
, O -100
hype O -100
and O -100
45 O -100
minute O -100
wait B-ASP -100
each O -100
time O -100
, O -100
Cafe O -100
Medina O -100
is O -100
absolutely O -100
awful O -100
. O -100

So O -100
we O -100
sat O -100
at O -100
the O -100
bar O -100
after O -100
a O -100
45 O -100
minute O -100
wait B-ASP -100
. O -100
Excited O -100
to O -100
try O -100
what O -100
I O -100
remember O -100
to O -100
be O -100
great O -100
coffee O -100
, O -100
I O -100
ordered O -100
my O -100
food O -100
and O -100
a O -100
Lavender O -100
Mocha O -100
. O -100
We O -100
watched O -100
as O -100
they O -100
prepared O -100
our O -100
coffee O -100
. O -100
When O -100
it O -100
was O -100
done O -100
, O -100
however O -100
, O -100
instead O -100
of O -100
serving B-ASP -100
it O -100
to O -100
us O -100
( O -100
seated O -100
right O -100
in O -100
front O -100
of O -100
them O -100
) O -100
, O -100
the O -100
coffees O -100
were O -100
put O -100
a O -100
few O -100
feet O -100
away O -100
( O -100
within O -100
arms O -100
reach O -100
) O -100
on O -100
the O -100
till O -100
. O -100
We O -100
waited O -100
and O -100
watched O -100
as O -100
the O -100
coffees O -100
just O -100
sat O -100
there O -100
. O -100
Several O -100
waitresses B-ASP -100
passed O -100
by O -100
ignoring O -100
the O -100
coffees O -100
. O -100
After O -100
10 O -100
minutes O -100
somebody B-ASP -100
decided O -100
to O -100
finally O -100
serve O -100
them O -100
. O -100
They B-ASP -100
were O -100
completely O -100
cold O -100
. O -100
I O -100
really O -100
don O -100
' O -100
t O -100
see O -100
why O -100
this O -100
happened O -100
. O -100
We O -100
both O -100
ordered O -100
Cassoulet B-ASP -100
. O -100
It O -100
was O -100
bland O -100
, O -100
greasy O -100
and O -100
low O -100
quality O -100
. O -100
I O -100
' O -100
m O -100
surprised O -100
to O -100
say O -100
that O -100
the O -100
Tangine O -100
I O -100
ordered O -100
the O -100
last O -100
time O -100
I O -100
was O -100
here O -100
was O -100
actually O -100
better O -100
tasting O -100
, O -100
which O -100
is O -100
rather O -100
sad O -100
as O -100
I O -100
imagined O -100
the O -100
Tangine O -100
was O -100
a O -100
bad O -100
exception O -100
. O -100
There O -100
are O -100
some O -100
things O -100
that O -100
were O -100
still O -100
delicious O -100
. O -100
I O -100
love O -100
the O -100
waffles B-ASP -100
still O -100
. O -100
And O -100
the O -100
focaccia B-ASP Positive
is O -100
great O -100
. O -100
But O -100
for O -100
the O -100
high O -100
expectations O -100
that O -100
arise O -100
from O -100
the O -100
price B-ASP -100
, O -100
hype O -100
and O -100
45 O -100
minute O -100
wait B-ASP -100
each O -100
time O -100
, O -100
Cafe O -100
Medina O -100
is O -100
absolutely O -100
awful O -100
. O -100

So O -100
we O -100
sat O -100
at O -100
the O -100
bar O -100
after O -100
a O -100
45 O -100
minute O -100
wait B-ASP -100
. O -100
Excited O -100
to O -100
try O -100
what O -100
I O -100
remember O -100
to O -100
be O -100
great O -100
coffee O -100
, O -100
I O -100
ordered O -100
my O -100
food O -100
and O -100
a O -100
Lavender O -100
Mocha O -100
. O -100
We O -100
watched O -100
as O -100
they O -100
prepared O -100
our O -100
coffee O -100
. O -100
When O -100
it O -100
was O -100
done O -100
, O -100
however O -100
, O -100
instead O -100
of O -100
serving B-ASP -100
it O -100
to O -100
us O -100
( O -100
seated O -100
right O -100
in O -100
front O -100
of O -100
them O -100
) O -100
, O -100
the O -100
coffees O -100
were O -100
put O -100
a O -100
few O -100
feet O -100
away O -100
( O -100
within O -100
arms O -100
reach O -100
) O -100
on O -100
the O -100
till O -100
. O -100
We O -100
waited O -100
and O -100
watched O -100
as O -100
the O -100
coffees O -100
just O -100
sat O -100
there O -100
. O -100
Several O -100
waitresses B-ASP -100
passed O -100
by O -100
ignoring O -100
the O -100
coffees O -100
. O -100
After O -100
10 O -100
minutes O -100
somebody B-ASP -100
decided O -100
to O -100
finally O -100
serve O -100
them O -100
. O -100
They B-ASP -100
were O -100
completely O -100
cold O -100
. O -100
I O -100
really O -100
don O -100
' O -100
t O -100
see O -100
why O -100
this O -100
happened O -100
. O -100
We O -100
both O -100
ordered O -100
Cassoulet B-ASP -100
. O -100
It O -100
was O -100
bland O -100
, O -100
greasy O -100
and O -100
low O -100
quality O -100
. O -100
I O -100
' O -100
m O -100
surprised O -100
to O -100
say O -100
that O -100
the O -100
Tangine O -100
I O -100
ordered O -100
the O -100
last O -100
time O -100
I O -100
was O -100
here O -100
was O -100
actually O -100
better O -100
tasting O -100
, O -100
which O -100
is O -100
rather O -100
sad O -100
as O -100
I O -100
imagined O -100
the O -100
Tangine O -100
was O -100
a O -100
bad O -100
exception O -100
. O -100
There O -100
are O -100
some O -100
things O -100
that O -100
were O -100
still O -100
delicious O -100
. O -100
I O -100
love O -100
the O -100
waffles B-ASP -100
still O -100
. O -100
And O -100
the O -100
focaccia B-ASP -100
is O -100
great O -100
. O -100
But O -100
for O -100
the O -100
high O -100
expectations O -100
that O -100
arise O -100
from O -100
the O -100
price B-ASP Negative
, O -100
hype O -100
and O -100
45 O -100
minute O -100
wait B-ASP -100
each O -100
time O -100
, O -100
Cafe O -100
Medina O -100
is O -100
absolutely O -100
awful O -100
. O -100

So O -100
we O -100
sat O -100
at O -100
the O -100
bar O -100
after O -100
a O -100
45 O -100
minute O -100
wait B-ASP -100
. O -100
Excited O -100
to O -100
try O -100
what O -100
I O -100
remember O -100
to O -100
be O -100
great O -100
coffee O -100
, O -100
I O -100
ordered O -100
my O -100
food O -100
and O -100
a O -100
Lavender O -100
Mocha O -100
. O -100
We O -100
watched O -100
as O -100
they O -100
prepared O -100
our O -100
coffee O -100
. O -100
When O -100
it O -100
was O -100
done O -100
, O -100
however O -100
, O -100
instead O -100
of O -100
serving B-ASP -100
it O -100
to O -100
us O -100
( O -100
seated O -100
right O -100
in O -100
front O -100
of O -100
them O -100
) O -100
, O -100
the O -100
coffees O -100
were O -100
put O -100
a O -100
few O -100
feet O -100
away O -100
( O -100
within O -100
arms O -100
reach O -100
) O -100
on O -100
the O -100
till O -100
. O -100
We O -100
waited O -100
and O -100
watched O -100
as O -100
the O -100
coffees O -100
just O -100
sat O -100
there O -100
. O -100
Several O -100
waitresses B-ASP -100
passed O -100
by O -100
ignoring O -100
the O -100
coffees O -100
. O -100
After O -100
10 O -100
minutes O -100
somebody B-ASP -100
decided O -100
to O -100
finally O -100
serve O -100
them O -100
. O -100
They B-ASP -100
were O -100
completely O -100
cold O -100
. O -100
I O -100
really O -100
don O -100
' O -100
t O -100
see O -100
why O -100
this O -100
happened O -100
. O -100
We O -100
both O -100
ordered O -100
Cassoulet B-ASP -100
. O -100
It O -100
was O -100
bland O -100
, O -100
greasy O -100
and O -100
low O -100
quality O -100
. O -100
I O -100
' O -100
m O -100
surprised O -100
to O -100
say O -100
that O -100
the O -100
Tangine O -100
I O -100
ordered O -100
the O -100
last O -100
time O -100
I O -100
was O -100
here O -100
was O -100
actually O -100
better O -100
tasting O -100
, O -100
which O -100
is O -100
rather O -100
sad O -100
as O -100
I O -100
imagined O -100
the O -100
Tangine O -100
was O -100
a O -100
bad O -100
exception O -100
. O -100
There O -100
are O -100
some O -100
things O -100
that O -100
were O -100
still O -100
delicious O -100
. O -100
I O -100
love O -100
the O -100
waffles B-ASP -100
still O -100
. O -100
And O -100
the O -100
focaccia B-ASP -100
is O -100
great O -100
. O -100
But O -100
for O -100
the O -100
high O -100
expectations O -100
that O -100
arise O -100
from O -100
the O -100
price B-ASP -100
, O -100
hype O -100
and O -100
45 O -100
minute O -100
wait B-ASP Negative
each O -100
time O -100
, O -100
Cafe O -100
Medina O -100
is O -100
absolutely O -100
awful O -100
. O -100

What O -100
a O -100
quaint O -100
little O -100
authentic O -100
Argentinan O -100
restaurant O -100
. O -100
Located O -100
east O -100
of O -100
Downtown O -100
Austin O -100
, O -100
but O -100
close O -100
enough O -100
to O -100
downtown O -100
. O -100
They O -100
had O -100
delicious O -100
meat B-ASP Positive
and O -100
spinach O -100
empandas O -100
. O -100
All O -100
types O -100
of O -100
Argentinan O -100
wines B-ASP -100
to O -100
choose O -100
from O -100
as O -100
well O -100
to O -100
encompass O -100
the O -100
flavors O -100
of O -100
South O -100
America O -100
. O -100
We O -100
ordered O -100
the O -100
pork O -100
tenderloin O -100
for O -100
dinner O -100
and O -100
the O -100
gnocchi O -100
. O -100
I O -100
LOVED O -100
the O -100
gnocchi B-ASP -100
! O -100
I O -100
thought O -100
it O -100
was O -100
so O -100
good O -100
! O -100
For O -100
dessert O -100
we O -100
had O -100
the O -100
chocolate O -100
creme O -100
brulee B-ASP -100
. O -100
It O -100
was O -100
delicious O -100
too O -100
! O -100

What O -100
a O -100
quaint O -100
little O -100
authentic O -100
Argentinan O -100
restaurant O -100
. O -100
Located O -100
east O -100
of O -100
Downtown O -100
Austin O -100
, O -100
but O -100
close O -100
enough O -100
to O -100
downtown O -100
. O -100
They O -100
had O -100
delicious O -100
meat B-ASP -100
and O -100
spinach O -100
empandas O -100
. O -100
All O -100
types O -100
of O -100
Argentinan O -100
wines B-ASP Positive
to O -100
choose O -100
from O -100
as O -100
well O -100
to O -100
encompass O -100
the O -100
flavors O -100
of O -100
South O -100
America O -100
. O -100
We O -100
ordered O -100
the O -100
pork O -100
tenderloin O -100
for O -100
dinner O -100
and O -100
the O -100
gnocchi O -100
. O -100
I O -100
LOVED O -100
the O -100
gnocchi B-ASP -100
! O -100
I O -100
thought O -100
it O -100
was O -100
so O -100
good O -100
! O -100
For O -100
dessert O -100
we O -100
had O -100
the O -100
chocolate O -100
creme O -100
brulee B-ASP -100
. O -100
It O -100
was O -100
delicious O -100
too O -100
! O -100

What O -100
a O -100
quaint O -100
little O -100
authentic O -100
Argentinan O -100
restaurant O -100
. O -100
Located O -100
east O -100
of O -100
Downtown O -100
Austin O -100
, O -100
but O -100
close O -100
enough O -100
to O -100
downtown O -100
. O -100
They O -100
had O -100
delicious O -100
meat B-ASP -100
and O -100
spinach O -100
empandas O -100
. O -100
All O -100
types O -100
of O -100
Argentinan O -100
wines B-ASP -100
to O -100
choose O -100
from O -100
as O -100
well O -100
to O -100
encompass O -100
the O -100
flavors O -100
of O -100
South O -100
America O -100
. O -100
We O -100
ordered O -100
the O -100
pork O -100
tenderloin O -100
for O -100
dinner O -100
and O -100
the O -100
gnocchi O -100
. O -100
I O -100
LOVED O -100
the O -100
gnocchi B-ASP Positive
! O -100
I O -100
thought O -100
it O -100
was O -100
so O -100
good O -100
! O -100
For O -100
dessert O -100
we O -100
had O -100
the O -100
chocolate O -100
creme O -100
brulee B-ASP -100
. O -100
It O -100
was O -100
delicious O -100
too O -100
! O -100

What O -100
a O -100
quaint O -100
little O -100
authentic O -100
Argentinan O -100
restaurant O -100
. O -100
Located O -100
east O -100
of O -100
Downtown O -100
Austin O -100
, O -100
but O -100
close O -100
enough O -100
to O -100
downtown O -100
. O -100
They O -100
had O -100
delicious O -100
meat B-ASP -100
and O -100
spinach O -100
empandas O -100
. O -100
All O -100
types O -100
of O -100
Argentinan O -100
wines B-ASP -100
to O -100
choose O -100
from O -100
as O -100
well O -100
to O -100
encompass O -100
the O -100
flavors O -100
of O -100
South O -100
America O -100
. O -100
We O -100
ordered O -100
the O -100
pork O -100
tenderloin O -100
for O -100
dinner O -100
and O -100
the O -100
gnocchi O -100
. O -100
I O -100
LOVED O -100
the O -100
gnocchi B-ASP -100
! O -100
I O -100
thought O -100
it O -100
was O -100
so O -100
good O -100
! O -100
For O -100
dessert O -100
we O -100
had O -100
the O -100
chocolate O -100
creme O -100
brulee B-ASP Positive
. O -100
It O -100
was O -100
delicious O -100
too O -100
! O -100

Had O -100
a O -100
few O -100
delicious O -100
things B-ASP Positive
here O -100
: O -100
Arroz O -100
con O -100
Camarones O -100
( O -100
Shrimp O -100
Rice O -100
) O -100
, O -100
Tostones O -100
, O -100
Maduros O -100
, O -100
Bistec O -100
Merengue O -100
. O -100
Also O -100
the O -100
Queso O -100
y O -100
Salami O -100
Frito O -100
app O -100
was O -100
perfect O -100
. O -100
As O -100
a O -100
side B-ASP -100
, O -100
do O -100
yourself O -100
a O -100
favor O -100
and O -100
get O -100
the O -100
Rice O -100
and O -100
Beans O -100
. O -100
It O -100
' O -100
s O -100
a O -100
staple O -100
and O -100
its O -100
prepared O -100
perfectly O -100
. O -100
A O -100
few O -100
things B-ASP -100
were O -100
not O -100
as O -100
good O -100
as O -100
I O -100
expected O -100
: O -100
Sangria O -100
( O -100
Margarita B-ASP -100
was O -100
better O -100
but O -100
still O -100
low O -100
on O -100
alcohol O -100
) O -100
, O -100
Chicharrones B-ASP -100
( O -100
very O -100
tough O -100
, O -100
if O -100
you O -100
like O -100
hard O -100
meat O -100
they O -100
are O -100
for O -100
you O -100
) O -100
, O -100
Yuca O -100
Frita B-ASP -100
( O -100
they O -100
look O -100
like O -100
mozzarella O -100
sticks O -100
, O -100
quite O -100
odd O -100
) O -100
, O -100
Mofongo B-ASP -100
was O -100
weak O -100
too O -100
. O -100
The O -100
drinks B-ASP -100
we O -100
tried O -100
were O -100
not O -100
very O -100
alcoholic O -100
and O -100
excessively O -100
sweet O -100
so O -100
I O -100
would O -100
just O -100
stick O -100
to O -100
a O -100
beer O -100
( O -100
Corona O -100
) O -100
unless O -100
you O -100
just O -100
love O -100
sugary O -100
drinks O -100
. O -100
The O -100
last O -100
complaint O -100
I O -100
have O -100
is O -100
that O -100
the O -100
temperature B-ASP -100
on O -100
a O -100
Fri O -100
afternoon O -100
was O -100
surprisingly O -100
low O -100
in O -100
there O -100
. O -100
It O -100
was O -100
as O -100
though O -100
they O -100
didn O -100
' O -100
t O -100
want O -100
to O -100
turn O -100
on O -100
the O -100
heat O -100
which O -100
is O -100
a O -100
real O -100
drag O -100
in O -100
Boston O -100
. O -100
This O -100
was O -100
our O -100
second O -100
time O -100
there O -100
and O -100
we O -100
didn O -100
' O -100
t O -100
have O -100
that O -100
issue O -100
the O -100
first O -100
time O -100
( O -100
fri O -100
night O -100
) O -100
so O -100
perhaps O -100
it O -100
was O -100
just O -100
a O -100
strange O -100
oddity O -100
. O -100

Had O -100
a O -100
few O -100
delicious O -100
things B-ASP -100
here O -100
: O -100
Arroz O -100
con O -100
Camarones O -100
( O -100
Shrimp O -100
Rice O -100
) O -100
, O -100
Tostones O -100
, O -100
Maduros O -100
, O -100
Bistec O -100
Merengue O -100
. O -100
Also O -100
the O -100
Queso O -100
y O -100
Salami O -100
Frito O -100
app O -100
was O -100
perfect O -100
. O -100
As O -100
a O -100
side B-ASP Positive
, O -100
do O -100
yourself O -100
a O -100
favor O -100
and O -100
get O -100
the O -100
Rice O -100
and O -100
Beans O -100
. O -100
It O -100
' O -100
s O -100
a O -100
staple O -100
and O -100
its O -100
prepared O -100
perfectly O -100
. O -100
A O -100
few O -100
things B-ASP -100
were O -100
not O -100
as O -100
good O -100
as O -100
I O -100
expected O -100
: O -100
Sangria O -100
( O -100
Margarita B-ASP -100
was O -100
better O -100
but O -100
still O -100
low O -100
on O -100
alcohol O -100
) O -100
, O -100
Chicharrones B-ASP -100
( O -100
very O -100
tough O -100
, O -100
if O -100
you O -100
like O -100
hard O -100
meat O -100
they O -100
are O -100
for O -100
you O -100
) O -100
, O -100
Yuca O -100
Frita B-ASP -100
( O -100
they O -100
look O -100
like O -100
mozzarella O -100
sticks O -100
, O -100
quite O -100
odd O -100
) O -100
, O -100
Mofongo B-ASP -100
was O -100
weak O -100
too O -100
. O -100
The O -100
drinks B-ASP -100
we O -100
tried O -100
were O -100
not O -100
very O -100
alcoholic O -100
and O -100
excessively O -100
sweet O -100
so O -100
I O -100
would O -100
just O -100
stick O -100
to O -100
a O -100
beer O -100
( O -100
Corona O -100
) O -100
unless O -100
you O -100
just O -100
love O -100
sugary O -100
drinks O -100
. O -100
The O -100
last O -100
complaint O -100
I O -100
have O -100
is O -100
that O -100
the O -100
temperature B-ASP -100
on O -100
a O -100
Fri O -100
afternoon O -100
was O -100
surprisingly O -100
low O -100
in O -100
there O -100
. O -100
It O -100
was O -100
as O -100
though O -100
they O -100
didn O -100
' O -100
t O -100
want O -100
to O -100
turn O -100
on O -100
the O -100
heat O -100
which O -100
is O -100
a O -100
real O -100
drag O -100
in O -100
Boston O -100
. O -100
This O -100
was O -100
our O -100
second O -100
time O -100
there O -100
and O -100
we O -100
didn O -100
' O -100
t O -100
have O -100
that O -100
issue O -100
the O -100
first O -100
time O -100
( O -100
fri O -100
night O -100
) O -100
so O -100
perhaps O -100
it O -100
was O -100
just O -100
a O -100
strange O -100
oddity O -100
. O -100

Had O -100
a O -100
few O -100
delicious O -100
things B-ASP -100
here O -100
: O -100
Arroz O -100
con O -100
Camarones O -100
( O -100
Shrimp O -100
Rice O -100
) O -100
, O -100
Tostones O -100
, O -100
Maduros O -100
, O -100
Bistec O -100
Merengue O -100
. O -100
Also O -100
the O -100
Queso O -100
y O -100
Salami O -100
Frito O -100
app O -100
was O -100
perfect O -100
. O -100
As O -100
a O -100
side B-ASP -100
, O -100
do O -100
yourself O -100
a O -100
favor O -100
and O -100
get O -100
the O -100
Rice O -100
and O -100
Beans O -100
. O -100
It O -100
' O -100
s O -100
a O -100
staple O -100
and O -100
its O -100
prepared O -100
perfectly O -100
. O -100
A O -100
few O -100
things B-ASP Negative
were O -100
not O -100
as O -100
good O -100
as O -100
I O -100
expected O -100
: O -100
Sangria O -100
( O -100
Margarita B-ASP -100
was O -100
better O -100
but O -100
still O -100
low O -100
on O -100
alcohol O -100
) O -100
, O -100
Chicharrones B-ASP -100
( O -100
very O -100
tough O -100
, O -100
if O -100
you O -100
like O -100
hard O -100
meat O -100
they O -100
are O -100
for O -100
you O -100
) O -100
, O -100
Yuca O -100
Frita B-ASP -100
( O -100
they O -100
look O -100
like O -100
mozzarella O -100
sticks O -100
, O -100
quite O -100
odd O -100
) O -100
, O -100
Mofongo B-ASP -100
was O -100
weak O -100
too O -100
. O -100
The O -100
drinks B-ASP -100
we O -100
tried O -100
were O -100
not O -100
very O -100
alcoholic O -100
and O -100
excessively O -100
sweet O -100
so O -100
I O -100
would O -100
just O -100
stick O -100
to O -100
a O -100
beer O -100
( O -100
Corona O -100
) O -100
unless O -100
you O -100
just O -100
love O -100
sugary O -100
drinks O -100
. O -100
The O -100
last O -100
complaint O -100
I O -100
have O -100
is O -100
that O -100
the O -100
temperature B-ASP -100
on O -100
a O -100
Fri O -100
afternoon O -100
was O -100
surprisingly O -100
low O -100
in O -100
there O -100
. O -100
It O -100
was O -100
as O -100
though O -100
they O -100
didn O -100
' O -100
t O -100
want O -100
to O -100
turn O -100
on O -100
the O -100
heat O -100
which O -100
is O -100
a O -100
real O -100
drag O -100
in O -100
Boston O -100
. O -100
This O -100
was O -100
our O -100
second O -100
time O -100
there O -100
and O -100
we O -100
didn O -100
' O -100
t O -100
have O -100
that O -100
issue O -100
the O -100
first O -100
time O -100
( O -100
fri O -100
night O -100
) O -100
so O -100
perhaps O -100
it O -100
was O -100
just O -100
a O -100
strange O -100
oddity O -100
. O -100

Had O -100
a O -100
few O -100
delicious O -100
things B-ASP -100
here O -100
: O -100
Arroz O -100
con O -100
Camarones O -100
( O -100
Shrimp O -100
Rice O -100
) O -100
, O -100
Tostones O -100
, O -100
Maduros O -100
, O -100
Bistec O -100
Merengue O -100
. O -100
Also O -100
the O -100
Queso O -100
y O -100
Salami O -100
Frito O -100
app O -100
was O -100
perfect O -100
. O -100
As O -100
a O -100
side B-ASP -100
, O -100
do O -100
yourself O -100
a O -100
favor O -100
and O -100
get O -100
the O -100
Rice O -100
and O -100
Beans O -100
. O -100
It O -100
' O -100
s O -100
a O -100
staple O -100
and O -100
its O -100
prepared O -100
perfectly O -100
. O -100
A O -100
few O -100
things B-ASP -100
were O -100
not O -100
as O -100
good O -100
as O -100
I O -100
expected O -100
: O -100
Sangria O -100
( O -100
Margarita B-ASP Negative
was O -100
better O -100
but O -100
still O -100
low O -100
on O -100
alcohol O -100
) O -100
, O -100
Chicharrones B-ASP -100
( O -100
very O -100
tough O -100
, O -100
if O -100
you O -100
like O -100
hard O -100
meat O -100
they O -100
are O -100
for O -100
you O -100
) O -100
, O -100
Yuca O -100
Frita B-ASP -100
( O -100
they O -100
look O -100
like O -100
mozzarella O -100
sticks O -100
, O -100
quite O -100
odd O -100
) O -100
, O -100
Mofongo B-ASP -100
was O -100
weak O -100
too O -100
. O -100
The O -100
drinks B-ASP -100
we O -100
tried O -100
were O -100
not O -100
very O -100
alcoholic O -100
and O -100
excessively O -100
sweet O -100
so O -100
I O -100
would O -100
just O -100
stick O -100
to O -100
a O -100
beer O -100
( O -100
Corona O -100
) O -100
unless O -100
you O -100
just O -100
love O -100
sugary O -100
drinks O -100
. O -100
The O -100
last O -100
complaint O -100
I O -100
have O -100
is O -100
that O -100
the O -100
temperature B-ASP -100
on O -100
a O -100
Fri O -100
afternoon O -100
was O -100
surprisingly O -100
low O -100
in O -100
there O -100
. O -100
It O -100
was O -100
as O -100
though O -100
they O -100
didn O -100
' O -100
t O -100
want O -100
to O -100
turn O -100
on O -100
the O -100
heat O -100
which O -100
is O -100
a O -100
real O -100
drag O -100
in O -100
Boston O -100
. O -100
This O -100
was O -100
our O -100
second O -100
time O -100
there O -100
and O -100
we O -100
didn O -100
' O -100
t O -100
have O -100
that O -100
issue O -100
the O -100
first O -100
time O -100
( O -100
fri O -100
night O -100
) O -100
so O -100
perhaps O -100
it O -100
was O -100
just O -100
a O -100
strange O -100
oddity O -100
. O -100

Had O -100
a O -100
few O -100
delicious O -100
things B-ASP -100
here O -100
: O -100
Arroz O -100
con O -100
Camarones O -100
( O -100
Shrimp O -100
Rice O -100
) O -100
, O -100
Tostones O -100
, O -100
Maduros O -100
, O -100
Bistec O -100
Merengue O -100
. O -100
Also O -100
the O -100
Queso O -100
y O -100
Salami O -100
Frito O -100
app O -100
was O -100
perfect O -100
. O -100
As O -100
a O -100
side B-ASP -100
, O -100
do O -100
yourself O -100
a O -100
favor O -100
and O -100
get O -100
the O -100
Rice O -100
and O -100
Beans O -100
. O -100
It O -100
' O -100
s O -100
a O -100
staple O -100
and O -100
its O -100
prepared O -100
perfectly O -100
. O -100
A O -100
few O -100
things B-ASP -100
were O -100
not O -100
as O -100
good O -100
as O -100
I O -100
expected O -100
: O -100
Sangria O -100
( O -100
Margarita B-ASP -100
was O -100
better O -100
but O -100
still O -100
low O -100
on O -100
alcohol O -100
) O -100
, O -100
Chicharrones B-ASP Negative
( O -100
very O -100
tough O -100
, O -100
if O -100
you O -100
like O -100
hard O -100
meat O -100
they O -100
are O -100
for O -100
you O -100
) O -100
, O -100
Yuca O -100
Frita B-ASP -100
( O -100
they O -100
look O -100
like O -100
mozzarella O -100
sticks O -100
, O -100
quite O -100
odd O -100
) O -100
, O -100
Mofongo B-ASP -100
was O -100
weak O -100
too O -100
. O -100
The O -100
drinks B-ASP -100
we O -100
tried O -100
were O -100
not O -100
very O -100
alcoholic O -100
and O -100
excessively O -100
sweet O -100
so O -100
I O -100
would O -100
just O -100
stick O -100
to O -100
a O -100
beer O -100
( O -100
Corona O -100
) O -100
unless O -100
you O -100
just O -100
love O -100
sugary O -100
drinks O -100
. O -100
The O -100
last O -100
complaint O -100
I O -100
have O -100
is O -100
that O -100
the O -100
temperature B-ASP -100
on O -100
a O -100
Fri O -100
afternoon O -100
was O -100
surprisingly O -100
low O -100
in O -100
there O -100
. O -100
It O -100
was O -100
as O -100
though O -100
they O -100
didn O -100
' O -100
t O -100
want O -100
to O -100
turn O -100
on O -100
the O -100
heat O -100
which O -100
is O -100
a O -100
real O -100
drag O -100
in O -100
Boston O -100
. O -100
This O -100
was O -100
our O -100
second O -100
time O -100
there O -100
and O -100
we O -100
didn O -100
' O -100
t O -100
have O -100
that O -100
issue O -100
the O -100
first O -100
time O -100
( O -100
fri O -100
night O -100
) O -100
so O -100
perhaps O -100
it O -100
was O -100
just O -100
a O -100
strange O -100
oddity O -100
. O -100

Had O -100
a O -100
few O -100
delicious O -100
things B-ASP -100
here O -100
: O -100
Arroz O -100
con O -100
Camarones O -100
( O -100
Shrimp O -100
Rice O -100
) O -100
, O -100
Tostones O -100
, O -100
Maduros O -100
, O -100
Bistec O -100
Merengue O -100
. O -100
Also O -100
the O -100
Queso O -100
y O -100
Salami O -100
Frito O -100
app O -100
was O -100
perfect O -100
. O -100
As O -100
a O -100
side B-ASP -100
, O -100
do O -100
yourself O -100
a O -100
favor O -100
and O -100
get O -100
the O -100
Rice O -100
and O -100
Beans O -100
. O -100
It O -100
' O -100
s O -100
a O -100
staple O -100
and O -100
its O -100
prepared O -100
perfectly O -100
. O -100
A O -100
few O -100
things B-ASP -100
were O -100
not O -100
as O -100
good O -100
as O -100
I O -100
expected O -100
: O -100
Sangria O -100
( O -100
Margarita B-ASP -100
was O -100
better O -100
but O -100
still O -100
low O -100
on O -100
alcohol O -100
) O -100
, O -100
Chicharrones B-ASP -100
( O -100
very O -100
tough O -100
, O -100
if O -100
you O -100
like O -100
hard O -100
meat O -100
they O -100
are O -100
for O -100
you O -100
) O -100
, O -100
Yuca O -100
Frita B-ASP Negative
( O -100
they O -100
look O -100
like O -100
mozzarella O -100
sticks O -100
, O -100
quite O -100
odd O -100
) O -100
, O -100
Mofongo B-ASP -100
was O -100
weak O -100
too O -100
. O -100
The O -100
drinks B-ASP -100
we O -100
tried O -100
were O -100
not O -100
very O -100
alcoholic O -100
and O -100
excessively O -100
sweet O -100
so O -100
I O -100
would O -100
just O -100
stick O -100
to O -100
a O -100
beer O -100
( O -100
Corona O -100
) O -100
unless O -100
you O -100
just O -100
love O -100
sugary O -100
drinks O -100
. O -100
The O -100
last O -100
complaint O -100
I O -100
have O -100
is O -100
that O -100
the O -100
temperature B-ASP -100
on O -100
a O -100
Fri O -100
afternoon O -100
was O -100
surprisingly O -100
low O -100
in O -100
there O -100
. O -100
It O -100
was O -100
as O -100
though O -100
they O -100
didn O -100
' O -100
t O -100
want O -100
to O -100
turn O -100
on O -100
the O -100
heat O -100
which O -100
is O -100
a O -100
real O -100
drag O -100
in O -100
Boston O -100
. O -100
This O -100
was O -100
our O -100
second O -100
time O -100
there O -100
and O -100
we O -100
didn O -100
' O -100
t O -100
have O -100
that O -100
issue O -100
the O -100
first O -100
time O -100
( O -100
fri O -100
night O -100
) O -100
so O -100
perhaps O -100
it O -100
was O -100
just O -100
a O -100
strange O -100
oddity O -100
. O -100

Had O -100
a O -100
few O -100
delicious O -100
things B-ASP -100
here O -100
: O -100
Arroz O -100
con O -100
Camarones O -100
( O -100
Shrimp O -100
Rice O -100
) O -100
, O -100
Tostones O -100
, O -100
Maduros O -100
, O -100
Bistec O -100
Merengue O -100
. O -100
Also O -100
the O -100
Queso O -100
y O -100
Salami O -100
Frito O -100
app O -100
was O -100
perfect O -100
. O -100
As O -100
a O -100
side B-ASP -100
, O -100
do O -100
yourself O -100
a O -100
favor O -100
and O -100
get O -100
the O -100
Rice O -100
and O -100
Beans O -100
. O -100
It O -100
' O -100
s O -100
a O -100
staple O -100
and O -100
its O -100
prepared O -100
perfectly O -100
. O -100
A O -100
few O -100
things B-ASP -100
were O -100
not O -100
as O -100
good O -100
as O -100
I O -100
expected O -100
: O -100
Sangria O -100
( O -100
Margarita B-ASP -100
was O -100
better O -100
but O -100
still O -100
low O -100
on O -100
alcohol O -100
) O -100
, O -100
Chicharrones B-ASP -100
( O -100
very O -100
tough O -100
, O -100
if O -100
you O -100
like O -100
hard O -100
meat O -100
they O -100
are O -100
for O -100
you O -100
) O -100
, O -100
Yuca O -100
Frita B-ASP -100
( O -100
they O -100
look O -100
like O -100
mozzarella O -100
sticks O -100
, O -100
quite O -100
odd O -100
) O -100
, O -100
Mofongo B-ASP Negative
was O -100
weak O -100
too O -100
. O -100
The O -100
drinks B-ASP -100
we O -100
tried O -100
were O -100
not O -100
very O -100
alcoholic O -100
and O -100
excessively O -100
sweet O -100
so O -100
I O -100
would O -100
just O -100
stick O -100
to O -100
a O -100
beer O -100
( O -100
Corona O -100
) O -100
unless O -100
you O -100
just O -100
love O -100
sugary O -100
drinks O -100
. O -100
The O -100
last O -100
complaint O -100
I O -100
have O -100
is O -100
that O -100
the O -100
temperature B-ASP -100
on O -100
a O -100
Fri O -100
afternoon O -100
was O -100
surprisingly O -100
low O -100
in O -100
there O -100
. O -100
It O -100
was O -100
as O -100
though O -100
they O -100
didn O -100
' O -100
t O -100
want O -100
to O -100
turn O -100
on O -100
the O -100
heat O -100
which O -100
is O -100
a O -100
real O -100
drag O -100
in O -100
Boston O -100
. O -100
This O -100
was O -100
our O -100
second O -100
time O -100
there O -100
and O -100
we O -100
didn O -100
' O -100
t O -100
have O -100
that O -100
issue O -100
the O -100
first O -100
time O -100
( O -100
fri O -100
night O -100
) O -100
so O -100
perhaps O -100
it O -100
was O -100
just O -100
a O -100
strange O -100
oddity O -100
. O -100

Had O -100
a O -100
few O -100
delicious O -100
things B-ASP -100
here O -100
: O -100
Arroz O -100
con O -100
Camarones O -100
( O -100
Shrimp O -100
Rice O -100
) O -100
, O -100
Tostones O -100
, O -100
Maduros O -100
, O -100
Bistec O -100
Merengue O -100
. O -100
Also O -100
the O -100
Queso O -100
y O -100
Salami O -100
Frito O -100
app O -100
was O -100
perfect O -100
. O -100
As O -100
a O -100
side B-ASP -100
, O -100
do O -100
yourself O -100
a O -100
favor O -100
and O -100
get O -100
the O -100
Rice O -100
and O -100
Beans O -100
. O -100
It O -100
' O -100
s O -100
a O -100
staple O -100
and O -100
its O -100
prepared O -100
perfectly O -100
. O -100
A O -100
few O -100
things B-ASP -100
were O -100
not O -100
as O -100
good O -100
as O -100
I O -100
expected O -100
: O -100
Sangria O -100
( O -100
Margarita B-ASP -100
was O -100
better O -100
but O -100
still O -100
low O -100
on O -100
alcohol O -100
) O -100
, O -100
Chicharrones B-ASP -100
( O -100
very O -100
tough O -100
, O -100
if O -100
you O -100
like O -100
hard O -100
meat O -100
they O -100
are O -100
for O -100
you O -100
) O -100
, O -100
Yuca O -100
Frita B-ASP -100
( O -100
they O -100
look O -100
like O -100
mozzarella O -100
sticks O -100
, O -100
quite O -100
odd O -100
) O -100
, O -100
Mofongo B-ASP -100
was O -100
weak O -100
too O -100
. O -100
The O -100
drinks B-ASP Negative
we O -100
tried O -100
were O -100
not O -100
very O -100
alcoholic O -100
and O -100
excessively O -100
sweet O -100
so O -100
I O -100
would O -100
just O -100
stick O -100
to O -100
a O -100
beer O -100
( O -100
Corona O -100
) O -100
unless O -100
you O -100
just O -100
love O -100
sugary O -100
drinks O -100
. O -100
The O -100
last O -100
complaint O -100
I O -100
have O -100
is O -100
that O -100
the O -100
temperature B-ASP -100
on O -100
a O -100
Fri O -100
afternoon O -100
was O -100
surprisingly O -100
low O -100
in O -100
there O -100
. O -100
It O -100
was O -100
as O -100
though O -100
they O -100
didn O -100
' O -100
t O -100
want O -100
to O -100
turn O -100
on O -100
the O -100
heat O -100
which O -100
is O -100
a O -100
real O -100
drag O -100
in O -100
Boston O -100
. O -100
This O -100
was O -100
our O -100
second O -100
time O -100
there O -100
and O -100
we O -100
didn O -100
' O -100
t O -100
have O -100
that O -100
issue O -100
the O -100
first O -100
time O -100
( O -100
fri O -100
night O -100
) O -100
so O -100
perhaps O -100
it O -100
was O -100
just O -100
a O -100
strange O -100
oddity O -100
. O -100

Had O -100
a O -100
few O -100
delicious O -100
things B-ASP -100
here O -100
: O -100
Arroz O -100
con O -100
Camarones O -100
( O -100
Shrimp O -100
Rice O -100
) O -100
, O -100
Tostones O -100
, O -100
Maduros O -100
, O -100
Bistec O -100
Merengue O -100
. O -100
Also O -100
the O -100
Queso O -100
y O -100
Salami O -100
Frito O -100
app O -100
was O -100
perfect O -100
. O -100
As O -100
a O -100
side B-ASP -100
, O -100
do O -100
yourself O -100
a O -100
favor O -100
and O -100
get O -100
the O -100
Rice O -100
and O -100
Beans O -100
. O -100
It O -100
' O -100
s O -100
a O -100
staple O -100
and O -100
its O -100
prepared O -100
perfectly O -100
. O -100
A O -100
few O -100
things B-ASP -100
were O -100
not O -100
as O -100
good O -100
as O -100
I O -100
expected O -100
: O -100
Sangria O -100
( O -100
Margarita B-ASP -100
was O -100
better O -100
but O -100
still O -100
low O -100
on O -100
alcohol O -100
) O -100
, O -100
Chicharrones B-ASP -100
( O -100
very O -100
tough O -100
, O -100
if O -100
you O -100
like O -100
hard O -100
meat O -100
they O -100
are O -100
for O -100
you O -100
) O -100
, O -100
Yuca O -100
Frita B-ASP -100
( O -100
they O -100
look O -100
like O -100
mozzarella O -100
sticks O -100
, O -100
quite O -100
odd O -100
) O -100
, O -100
Mofongo B-ASP -100
was O -100
weak O -100
too O -100
. O -100
The O -100
drinks B-ASP -100
we O -100
tried O -100
were O -100
not O -100
very O -100
alcoholic O -100
and O -100
excessively O -100
sweet O -100
so O -100
I O -100
would O -100
just O -100
stick O -100
to O -100
a O -100
beer O -100
( O -100
Corona O -100
) O -100
unless O -100
you O -100
just O -100
love O -100
sugary O -100
drinks O -100
. O -100
The O -100
last O -100
complaint O -100
I O -100
have O -100
is O -100
that O -100
the O -100
temperature B-ASP Negative
on O -100
a O -100
Fri O -100
afternoon O -100
was O -100
surprisingly O -100
low O -100
in O -100
there O -100
. O -100
It O -100
was O -100
as O -100
though O -100
they O -100
didn O -100
' O -100
t O -100
want O -100
to O -100
turn O -100
on O -100
the O -100
heat O -100
which O -100
is O -100
a O -100
real O -100
drag O -100
in O -100
Boston O -100
. O -100
This O -100
was O -100
our O -100
second O -100
time O -100
there O -100
and O -100
we O -100
didn O -100
' O -100
t O -100
have O -100
that O -100
issue O -100
the O -100
first O -100
time O -100
( O -100
fri O -100
night O -100
) O -100
so O -100
perhaps O -100
it O -100
was O -100
just O -100
a O -100
strange O -100
oddity O -100
. O -100

Wow O -100
! O -100
! O -100
! O -100
Absolutely O -100
the O -100
BEST O -100
donuts B-ASP Positive
I O -100
' O -100
ve O -100
EVER O -100
had O -100
! O -100
! O -100
! O -100
Tried O -100
old O -100
fashion O -100
glazed B-ASP -100
, O -100
Mexican O -100
hot O -100
chocolate B-ASP -100
( O -100
favorite O -100
! O -100
! O -100
! O -100
) O -100
& O -100
apple B-ASP -100
fritters I-ASP -100
. O -100
. O -100
. O -100
and O -100
no O -100
kidding O -100
. O -100
. O -100
. O -100
BEST O -100
EVER O -100
! O -100
! O -100
! O -100
Dense O -100
, O -100
moist O -100
& O -100
DEEEEE O -100
lightful O -100
! O -100
! O -100
! O -100
A O -100
must O -100
if O -100
you O -100
' O -100
re O -100
in O -100
the O -100
area O -100
! O -100
! O -100
! O -100
Yummmmmmm O -100
! O -100
! O -100
! O -100

Wow O -100
! O -100
! O -100
! O -100
Absolutely O -100
the O -100
BEST O -100
donuts B-ASP -100
I O -100
' O -100
ve O -100
EVER O -100
had O -100
! O -100
! O -100
! O -100
Tried O -100
old O -100
fashion O -100
glazed B-ASP Positive
, O -100
Mexican O -100
hot O -100
chocolate B-ASP -100
( O -100
favorite O -100
! O -100
! O -100
! O -100
) O -100
& O -100
apple B-ASP -100
fritters I-ASP -100
. O -100
. O -100
. O -100
and O -100
no O -100
kidding O -100
. O -100
. O -100
. O -100
BEST O -100
EVER O -100
! O -100
! O -100
! O -100
Dense O -100
, O -100
moist O -100
& O -100
DEEEEE O -100
lightful O -100
! O -100
! O -100
! O -100
A O -100
must O -100
if O -100
you O -100
' O -100
re O -100
in O -100
the O -100
area O -100
! O -100
! O -100
! O -100
Yummmmmmm O -100
! O -100
! O -100
! O -100

Wow O -100
! O -100
! O -100
! O -100
Absolutely O -100
the O -100
BEST O -100
donuts B-ASP -100
I O -100
' O -100
ve O -100
EVER O -100
had O -100
! O -100
! O -100
! O -100
Tried O -100
old O -100
fashion O -100
glazed B-ASP -100
, O -100
Mexican O -100
hot O -100
chocolate B-ASP Positive
( O -100
favorite O -100
! O -100
! O -100
! O -100
) O -100
& O -100
apple B-ASP -100
fritters I-ASP -100
. O -100
. O -100
. O -100
and O -100
no O -100
kidding O -100
. O -100
. O -100
. O -100
BEST O -100
EVER O -100
! O -100
! O -100
! O -100
Dense O -100
, O -100
moist O -100
& O -100
DEEEEE O -100
lightful O -100
! O -100
! O -100
! O -100
A O -100
must O -100
if O -100
you O -100
' O -100
re O -100
in O -100
the O -100
area O -100
! O -100
! O -100
! O -100
Yummmmmmm O -100
! O -100
! O -100
! O -100

Wow O -100
! O -100
! O -100
! O -100
Absolutely O -100
the O -100
BEST O -100
donuts B-ASP -100
I O -100
' O -100
ve O -100
EVER O -100
had O -100
! O -100
! O -100
! O -100
Tried O -100
old O -100
fashion O -100
glazed B-ASP -100
, O -100
Mexican O -100
hot O -100
chocolate B-ASP -100
( O -100
favorite O -100
! O -100
! O -100
! O -100
) O -100
& O -100
apple B-ASP Positive
fritters I-ASP Positive
. O -100
. O -100
. O -100
and O -100
no O -100
kidding O -100
. O -100
. O -100
. O -100
BEST O -100
EVER O -100
! O -100
! O -100
! O -100
Dense O -100
, O -100
moist O -100
& O -100
DEEEEE O -100
lightful O -100
! O -100
! O -100
! O -100
A O -100
must O -100
if O -100
you O -100
' O -100
re O -100
in O -100
the O -100
area O -100
! O -100
! O -100
! O -100
Yummmmmmm O -100
! O -100
! O -100
! O -100

We O -100
ate O -100
at O -100
this O -100
place O -100
all O -100
three O -100
mornings O -100
we O -100
were O -100
in O -100
Orlando O -100
this O -100
past O -100
weekend O -100
. O -100
The O -100
food B-ASP Positive
was O -100
awesome O -100
and O -100
the O -100
servings B-ASP -100
were O -100
large O -100
! O -100
The O -100
first O -100
and O -100
third O -100
day O -100
we O -100
had O -100
breakfast O -100
there O -100
the O -100
service B-ASP -100
was O -100
so O -100
amazing O -100
! O -100
The O -100
two O -100
different O -100
ladies B-ASP -100
were O -100
very O -100
attentive O -100
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super O -100
friendly O -100
. O -100
The O -100
second O -100
day O -100
( O -100
different O -100
lady O -100
) O -100
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as O -100
great O -100
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she O -100
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busy O -100
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alone O -100
so O -100
I O -100
will O -100
give O -100
her O -100
that O -100
. O -100
The O -100
place O -100
was O -100
very O -100
clean O -100
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a O -100
great O -100
atmosphere B-ASP -100
. O -100
Definitely O -100
recommended O -100
! O -100

We O -100
ate O -100
at O -100
this O -100
place O -100
all O -100
three O -100
mornings O -100
we O -100
were O -100
in O -100
Orlando O -100
this O -100
past O -100
weekend O -100
. O -100
The O -100
food B-ASP -100
was O -100
awesome O -100
and O -100
the O -100
servings B-ASP Positive
were O -100
large O -100
! O -100
The O -100
first O -100
and O -100
third O -100
day O -100
we O -100
had O -100
breakfast O -100
there O -100
the O -100
service B-ASP -100
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so O -100
amazing O -100
! O -100
The O -100
two O -100
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ladies B-ASP -100
were O -100
very O -100
attentive O -100
and O -100
super O -100
friendly O -100
. O -100
The O -100
second O -100
day O -100
( O -100
different O -100
lady O -100
) O -100
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not O -100
as O -100
great O -100
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she O -100
was O -100
busy O -100
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alone O -100
so O -100
I O -100
will O -100
give O -100
her O -100
that O -100
. O -100
The O -100
place O -100
was O -100
very O -100
clean O -100
and O -100
a O -100
great O -100
atmosphere B-ASP -100
. O -100
Definitely O -100
recommended O -100
! O -100

We O -100
ate O -100
at O -100
this O -100
place O -100
all O -100
three O -100
mornings O -100
we O -100
were O -100
in O -100
Orlando O -100
this O -100
past O -100
weekend O -100
. O -100
The O -100
food B-ASP -100
was O -100
awesome O -100
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the O -100
servings B-ASP -100
were O -100
large O -100
! O -100
The O -100
first O -100
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third O -100
day O -100
we O -100
had O -100
breakfast O -100
there O -100
the O -100
service B-ASP Positive
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so O -100
amazing O -100
! O -100
The O -100
two O -100
different O -100
ladies B-ASP -100
were O -100
very O -100
attentive O -100
and O -100
super O -100
friendly O -100
. O -100
The O -100
second O -100
day O -100
( O -100
different O -100
lady O -100
) O -100
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not O -100
as O -100
great O -100
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she O -100
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busy O -100
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alone O -100
so O -100
I O -100
will O -100
give O -100
her O -100
that O -100
. O -100
The O -100
place O -100
was O -100
very O -100
clean O -100
and O -100
a O -100
great O -100
atmosphere B-ASP -100
. O -100
Definitely O -100
recommended O -100
! O -100

We O -100
ate O -100
at O -100
this O -100
place O -100
all O -100
three O -100
mornings O -100
we O -100
were O -100
in O -100
Orlando O -100
this O -100
past O -100
weekend O -100
. O -100
The O -100
food B-ASP -100
was O -100
awesome O -100
and O -100
the O -100
servings B-ASP -100
were O -100
large O -100
! O -100
The O -100
first O -100
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third O -100
day O -100
we O -100
had O -100
breakfast O -100
there O -100
the O -100
service B-ASP -100
was O -100
so O -100
amazing O -100
! O -100
The O -100
two O -100
different O -100
ladies B-ASP Positive
were O -100
very O -100
attentive O -100
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super O -100
friendly O -100
. O -100
The O -100
second O -100
day O -100
( O -100
different O -100
lady O -100
) O -100
was O -100
not O -100
as O -100
great O -100
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she O -100
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busy O -100
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alone O -100
so O -100
I O -100
will O -100
give O -100
her O -100
that O -100
. O -100
The O -100
place O -100
was O -100
very O -100
clean O -100
and O -100
a O -100
great O -100
atmosphere B-ASP -100
. O -100
Definitely O -100
recommended O -100
! O -100

We O -100
ate O -100
at O -100
this O -100
place O -100
all O -100
three O -100
mornings O -100
we O -100
were O -100
in O -100
Orlando O -100
this O -100
past O -100
weekend O -100
. O -100
The O -100
food B-ASP -100
was O -100
awesome O -100
and O -100
the O -100
servings B-ASP -100
were O -100
large O -100
! O -100
The O -100
first O -100
and O -100
third O -100
day O -100
we O -100
had O -100
breakfast O -100
there O -100
the O -100
service B-ASP -100
was O -100
so O -100
amazing O -100
! O -100
The O -100
two O -100
different O -100
ladies B-ASP -100
were O -100
very O -100
attentive O -100
and O -100
super O -100
friendly O -100
. O -100
The O -100
second O -100
day O -100
( O -100
different O -100
lady O -100
) O -100
was O -100
not O -100
as O -100
great O -100
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she O -100
was O -100
busy O -100
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alone O -100
so O -100
I O -100
will O -100
give O -100
her O -100
that O -100
. O -100
The O -100
place O -100
was O -100
very O -100
clean O -100
and O -100
a O -100
great O -100
atmosphere B-ASP Positive
. O -100
Definitely O -100
recommended O -100
! O -100

On O -100
a O -100
lark O -100
( O -100
which O -100
is O -100
a O -100
bird O -100
according O -100
to O -100
wikipedia O -100
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doesn O -100
' O -100
t O -100
really O -100
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a O -100
whole O -100
lot O -100
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sense O -100
used O -100
in O -100
the O -100
phrase O -100
' O -100
on O -100
a O -100
lark O -100
' O -100
) O -100
we O -100
decided O -100
to O -100
try O -100
something O -100
different O -100
for O -100
dinner O -100
and O -100
went O -100
to O -100
Cafe O -100
Josie O -100
. O -100
This O -100
was O -100
an O -100
excellent O -100
decision O -100
( O -100
and O -100
no O -100
larks O -100
were O -100
harmed O -100
in O -100
the O -100
process O -100
) O -100
. O -100
The O -100
restaurant O -100
is O -100
hidden O -100
behind O -100
6th O -100
St O -100
. O -100
and O -100
is O -100
in O -100
a O -100
quiet O -100
area O -100
, O -100
contrasting O -100
with O -100
the O -100
typical O -100
douche O -100
parade O -100
on O -100
other O -100
parts O -100
of O -100
6th O -100
. O -100
The O -100
interior O -100
is O -100
spartan O -100
but O -100
breezy O -100
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the O -100
detail O -100
is O -100
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on O -100
the O -100
presentation O -100
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the O -100
food O -100
, O -100
which O -100
is O -100
, O -100
to O -100
me O -100
, O -100
more O -100
important O -100
than O -100
trying O -100
to O -100
make O -100
a O -100
place O -100
look O -100
fancy O -100
but O -100
serving O -100
crapy O -100
food O -100
. O -100
We O -100
had O -100
the O -100
grilled O -100
lobster O -100
cakes O -100
as O -100
an O -100
appetizer B-ASP Positive
. O -100
They B-ASP -100
were O -100
cooked O -100
well O -100
and O -100
the O -100
cilantro O -100
and O -100
chipotle O -100
aioli O -100
complimented O -100
them O -100
well O -100
. O -100
For O -100
dinner O -100
my O -100
girlfriend O -100
had O -100
the O -100
green B-ASP -100
chile I-ASP -100
polenta O -100
, O -100
which O -100
she O -100
enjoyed O -100
, O -100
while O -100
I O -100
had O -100
the O -100
pepita O -100
redfish O -100
. O -100
I O -100
' O -100
ve O -100
eaten O -100
redfish B-ASP -100
cooked O -100
a O -100
variety O -100
of O -100
ways O -100
across O -100
the O -100
gulf O -100
coast O -100
but O -100
the O -100
spiced O -100
crust O -100
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habenro O -100
butter O -100
made O -100
it O -100
very O -100
exotic O -100
and O -100
thoroughly O -100
enjoyable O -100
. O -100
I O -100
' O -100
d O -100
reccomend O -100
this O -100
place O -100
to O -100
anyone O -100
who O -100
' O -100
s O -100
never O -100
had O -100
cuisine O -100
from O -100
the O -100
tropics O -100
, O -100
or O -100
to O -100
anyone O -100
who O -100
wanted O -100
to O -100
get O -100
some O -100
great O -100
food O -100
at O -100
a O -100
reasonable O -100
price B-ASP -100
. O -100

On O -100
a O -100
lark O -100
( O -100
which O -100
is O -100
a O -100
bird O -100
according O -100
to O -100
wikipedia O -100
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doesn O -100
' O -100
t O -100
really O -100
make O -100
a O -100
whole O -100
lot O -100
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sense O -100
used O -100
in O -100
the O -100
phrase O -100
' O -100
on O -100
a O -100
lark O -100
' O -100
) O -100
we O -100
decided O -100
to O -100
try O -100
something O -100
different O -100
for O -100
dinner O -100
and O -100
went O -100
to O -100
Cafe O -100
Josie O -100
. O -100
This O -100
was O -100
an O -100
excellent O -100
decision O -100
( O -100
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no O -100
larks O -100
were O -100
harmed O -100
in O -100
the O -100
process O -100
) O -100
. O -100
The O -100
restaurant O -100
is O -100
hidden O -100
behind O -100
6th O -100
St O -100
. O -100
and O -100
is O -100
in O -100
a O -100
quiet O -100
area O -100
, O -100
contrasting O -100
with O -100
the O -100
typical O -100
douche O -100
parade O -100
on O -100
other O -100
parts O -100
of O -100
6th O -100
. O -100
The O -100
interior O -100
is O -100
spartan O -100
but O -100
breezy O -100
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the O -100
detail O -100
is O -100
placed O -100
on O -100
the O -100
presentation O -100
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preparation O -100
of O -100
the O -100
food O -100
, O -100
which O -100
is O -100
, O -100
to O -100
me O -100
, O -100
more O -100
important O -100
than O -100
trying O -100
to O -100
make O -100
a O -100
place O -100
look O -100
fancy O -100
but O -100
serving O -100
crapy O -100
food O -100
. O -100
We O -100
had O -100
the O -100
grilled O -100
lobster O -100
cakes O -100
as O -100
an O -100
appetizer B-ASP -100
. O -100
They B-ASP Positive
were O -100
cooked O -100
well O -100
and O -100
the O -100
cilantro O -100
and O -100
chipotle O -100
aioli O -100
complimented O -100
them O -100
well O -100
. O -100
For O -100
dinner O -100
my O -100
girlfriend O -100
had O -100
the O -100
green B-ASP -100
chile I-ASP -100
polenta O -100
, O -100
which O -100
she O -100
enjoyed O -100
, O -100
while O -100
I O -100
had O -100
the O -100
pepita O -100
redfish O -100
. O -100
I O -100
' O -100
ve O -100
eaten O -100
redfish B-ASP -100
cooked O -100
a O -100
variety O -100
of O -100
ways O -100
across O -100
the O -100
gulf O -100
coast O -100
but O -100
the O -100
spiced O -100
crust O -100
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habenro O -100
butter O -100
made O -100
it O -100
very O -100
exotic O -100
and O -100
thoroughly O -100
enjoyable O -100
. O -100
I O -100
' O -100
d O -100
reccomend O -100
this O -100
place O -100
to O -100
anyone O -100
who O -100
' O -100
s O -100
never O -100
had O -100
cuisine O -100
from O -100
the O -100
tropics O -100
, O -100
or O -100
to O -100
anyone O -100
who O -100
wanted O -100
to O -100
get O -100
some O -100
great O -100
food O -100
at O -100
a O -100
reasonable O -100
price B-ASP -100
. O -100

On O -100
a O -100
lark O -100
( O -100
which O -100
is O -100
a O -100
bird O -100
according O -100
to O -100
wikipedia O -100
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doesn O -100
' O -100
t O -100
really O -100
make O -100
a O -100
whole O -100
lot O -100
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sense O -100
used O -100
in O -100
the O -100
phrase O -100
' O -100
on O -100
a O -100
lark O -100
' O -100
) O -100
we O -100
decided O -100
to O -100
try O -100
something O -100
different O -100
for O -100
dinner O -100
and O -100
went O -100
to O -100
Cafe O -100
Josie O -100
. O -100
This O -100
was O -100
an O -100
excellent O -100
decision O -100
( O -100
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no O -100
larks O -100
were O -100
harmed O -100
in O -100
the O -100
process O -100
) O -100
. O -100
The O -100
restaurant O -100
is O -100
hidden O -100
behind O -100
6th O -100
St O -100
. O -100
and O -100
is O -100
in O -100
a O -100
quiet O -100
area O -100
, O -100
contrasting O -100
with O -100
the O -100
typical O -100
douche O -100
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on O -100
other O -100
parts O -100
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6th O -100
. O -100
The O -100
interior O -100
is O -100
spartan O -100
but O -100
breezy O -100
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the O -100
detail O -100
is O -100
placed O -100
on O -100
the O -100
presentation O -100
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preparation O -100
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the O -100
food O -100
, O -100
which O -100
is O -100
, O -100
to O -100
me O -100
, O -100
more O -100
important O -100
than O -100
trying O -100
to O -100
make O -100
a O -100
place O -100
look O -100
fancy O -100
but O -100
serving O -100
crapy O -100
food O -100
. O -100
We O -100
had O -100
the O -100
grilled O -100
lobster O -100
cakes O -100
as O -100
an O -100
appetizer B-ASP -100
. O -100
They B-ASP -100
were O -100
cooked O -100
well O -100
and O -100
the O -100
cilantro O -100
and O -100
chipotle O -100
aioli O -100
complimented O -100
them O -100
well O -100
. O -100
For O -100
dinner O -100
my O -100
girlfriend O -100
had O -100
the O -100
green B-ASP Positive
chile I-ASP Positive
polenta O -100
, O -100
which O -100
she O -100
enjoyed O -100
, O -100
while O -100
I O -100
had O -100
the O -100
pepita O -100
redfish O -100
. O -100
I O -100
' O -100
ve O -100
eaten O -100
redfish B-ASP -100
cooked O -100
a O -100
variety O -100
of O -100
ways O -100
across O -100
the O -100
gulf O -100
coast O -100
but O -100
the O -100
spiced O -100
crust O -100
and O -100
habenro O -100
butter O -100
made O -100
it O -100
very O -100
exotic O -100
and O -100
thoroughly O -100
enjoyable O -100
. O -100
I O -100
' O -100
d O -100
reccomend O -100
this O -100
place O -100
to O -100
anyone O -100
who O -100
' O -100
s O -100
never O -100
had O -100
cuisine O -100
from O -100
the O -100
tropics O -100
, O -100
or O -100
to O -100
anyone O -100
who O -100
wanted O -100
to O -100
get O -100
some O -100
great O -100
food O -100
at O -100
a O -100
reasonable O -100
price B-ASP -100
. O -100

On O -100
a O -100
lark O -100
( O -100
which O -100
is O -100
a O -100
bird O -100
according O -100
to O -100
wikipedia O -100
and O -100
doesn O -100
' O -100
t O -100
really O -100
make O -100
a O -100
whole O -100
lot O -100
of O -100
sense O -100
used O -100
in O -100
the O -100
phrase O -100
' O -100
on O -100
a O -100
lark O -100
' O -100
) O -100
we O -100
decided O -100
to O -100
try O -100
something O -100
different O -100
for O -100
dinner O -100
and O -100
went O -100
to O -100
Cafe O -100
Josie O -100
. O -100
This O -100
was O -100
an O -100
excellent O -100
decision O -100
( O -100
and O -100
no O -100
larks O -100
were O -100
harmed O -100
in O -100
the O -100
process O -100
) O -100
. O -100
The O -100
restaurant O -100
is O -100
hidden O -100
behind O -100
6th O -100
St O -100
. O -100
and O -100
is O -100
in O -100
a O -100
quiet O -100
area O -100
, O -100
contrasting O -100
with O -100
the O -100
typical O -100
douche O -100
parade O -100
on O -100
other O -100
parts O -100
of O -100
6th O -100
. O -100
The O -100
interior O -100
is O -100
spartan O -100
but O -100
breezy O -100
and O -100
the O -100
detail O -100
is O -100
placed O -100
on O -100
the O -100
presentation O -100
and O -100
preparation O -100
of O -100
the O -100
food O -100
, O -100
which O -100
is O -100
, O -100
to O -100
me O -100
, O -100
more O -100
important O -100
than O -100
trying O -100
to O -100
make O -100
a O -100
place O -100
look O -100
fancy O -100
but O -100
serving O -100
crapy O -100
food O -100
. O -100
We O -100
had O -100
the O -100
grilled O -100
lobster O -100
cakes O -100
as O -100
an O -100
appetizer B-ASP -100
. O -100
They B-ASP -100
were O -100
cooked O -100
well O -100
and O -100
the O -100
cilantro O -100
and O -100
chipotle O -100
aioli O -100
complimented O -100
them O -100
well O -100
. O -100
For O -100
dinner O -100
my O -100
girlfriend O -100
had O -100
the O -100
green B-ASP -100
chile I-ASP -100
polenta O -100
, O -100
which O -100
she O -100
enjoyed O -100
, O -100
while O -100
I O -100
had O -100
the O -100
pepita O -100
redfish O -100
. O -100
I O -100
' O -100
ve O -100
eaten O -100
redfish B-ASP Positive
cooked O -100
a O -100
variety O -100
of O -100
ways O -100
across O -100
the O -100
gulf O -100
coast O -100
but O -100
the O -100
spiced O -100
crust O -100
and O -100
habenro O -100
butter O -100
made O -100
it O -100
very O -100
exotic O -100
and O -100
thoroughly O -100
enjoyable O -100
. O -100
I O -100
' O -100
d O -100
reccomend O -100
this O -100
place O -100
to O -100
anyone O -100
who O -100
' O -100
s O -100
never O -100
had O -100
cuisine O -100
from O -100
the O -100
tropics O -100
, O -100
or O -100
to O -100
anyone O -100
who O -100
wanted O -100
to O -100
get O -100
some O -100
great O -100
food O -100
at O -100
a O -100
reasonable O -100
price B-ASP -100
. O -100

On O -100
a O -100
lark O -100
( O -100
which O -100
is O -100
a O -100
bird O -100
according O -100
to O -100
wikipedia O -100
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doesn O -100
' O -100
t O -100
really O -100
make O -100
a O -100
whole O -100
lot O -100
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sense O -100
used O -100
in O -100
the O -100
phrase O -100
' O -100
on O -100
a O -100
lark O -100
' O -100
) O -100
we O -100
decided O -100
to O -100
try O -100
something O -100
different O -100
for O -100
dinner O -100
and O -100
went O -100
to O -100
Cafe O -100
Josie O -100
. O -100
This O -100
was O -100
an O -100
excellent O -100
decision O -100
( O -100
and O -100
no O -100
larks O -100
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harmed O -100
in O -100
the O -100
process O -100
) O -100
. O -100
The O -100
restaurant O -100
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6th O -100
St O -100
. O -100
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a O -100
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, O -100
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the O -100
typical O -100
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6th O -100
. O -100
The O -100
interior O -100
is O -100
spartan O -100
but O -100
breezy O -100
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the O -100
detail O -100
is O -100
placed O -100
on O -100
the O -100
presentation O -100
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the O -100
food O -100
, O -100
which O -100
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, O -100
to O -100
me O -100
, O -100
more O -100
important O -100
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trying O -100
to O -100
make O -100
a O -100
place O -100
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fancy O -100
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serving O -100
crapy O -100
food O -100
. O -100
We O -100
had O -100
the O -100
grilled O -100
lobster O -100
cakes O -100
as O -100
an O -100
appetizer B-ASP -100
. O -100
They B-ASP -100
were O -100
cooked O -100
well O -100
and O -100
the O -100
cilantro O -100
and O -100
chipotle O -100
aioli O -100
complimented O -100
them O -100
well O -100
. O -100
For O -100
dinner O -100
my O -100
girlfriend O -100
had O -100
the O -100
green B-ASP -100
chile I-ASP -100
polenta O -100
, O -100
which O -100
she O -100
enjoyed O -100
, O -100
while O -100
I O -100
had O -100
the O -100
pepita O -100
redfish O -100
. O -100
I O -100
' O -100
ve O -100
eaten O -100
redfish B-ASP -100
cooked O -100
a O -100
variety O -100
of O -100
ways O -100
across O -100
the O -100
gulf O -100
coast O -100
but O -100
the O -100
spiced O -100
crust O -100
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habenro O -100
butter O -100
made O -100
it O -100
very O -100
exotic O -100
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thoroughly O -100
enjoyable O -100
. O -100
I O -100
' O -100
d O -100
reccomend O -100
this O -100
place O -100
to O -100
anyone O -100
who O -100
' O -100
s O -100
never O -100
had O -100
cuisine O -100
from O -100
the O -100
tropics O -100
, O -100
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to O -100
anyone O -100
who O -100
wanted O -100
to O -100
get O -100
some O -100
great O -100
food O -100
at O -100
a O -100
reasonable O -100
price B-ASP Neutral
. O -100

It O -100
was O -100
my O -100
very O -100
first O -100
visit O -100
the O -100
service B-ASP Positive
was O -100
awesome O -100
and O -100
they O -100
assured O -100
me O -100
that O -100
I O -100
would O -100
love O -100
the O -100
food O -100
. O -100
And O -100
guess O -100
what O -100
I O -100
definitely O -100
love O -100
the O -100
food B-ASP -100
hands O -100
down O -100
. O -100
It O -100
was O -100
very O -100
clean O -100
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also O -100
a O -100
nice O -100
bar B-ASP -100
you O -100
can O -100
even O -100
set O -100
outside O -100
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that O -100
summer O -100
fun O -100
. O -100
Try O -100
them O -100
for O -100
yourself O -100
. O -100
I O -100
' O -100
ll O -100
be O -100
a O -100
regular O -100
. O -100
. O -100
. O -100
. O -100

It O -100
was O -100
my O -100
very O -100
first O -100
visit O -100
the O -100
service B-ASP -100
was O -100
awesome O -100
and O -100
they O -100
assured O -100
me O -100
that O -100
I O -100
would O -100
love O -100
the O -100
food O -100
. O -100
And O -100
guess O -100
what O -100
I O -100
definitely O -100
love O -100
the O -100
food B-ASP Positive
hands O -100
down O -100
. O -100
It O -100
was O -100
very O -100
clean O -100
and O -100
also O -100
a O -100
nice O -100
bar B-ASP -100
you O -100
can O -100
even O -100
set O -100
outside O -100
for O -100
that O -100
summer O -100
fun O -100
. O -100
Try O -100
them O -100
for O -100
yourself O -100
. O -100
I O -100
' O -100
ll O -100
be O -100
a O -100
regular O -100
. O -100
. O -100
. O -100
. O -100

It O -100
was O -100
my O -100
very O -100
first O -100
visit O -100
the O -100
service B-ASP -100
was O -100
awesome O -100
and O -100
they O -100
assured O -100
me O -100
that O -100
I O -100
would O -100
love O -100
the O -100
food O -100
. O -100
And O -100
guess O -100
what O -100
I O -100
definitely O -100
love O -100
the O -100
food B-ASP -100
hands O -100
down O -100
. O -100
It O -100
was O -100
very O -100
clean O -100
and O -100
also O -100
a O -100
nice O -100
bar B-ASP Positive
you O -100
can O -100
even O -100
set O -100
outside O -100
for O -100
that O -100
summer O -100
fun O -100
. O -100
Try O -100
them O -100
for O -100
yourself O -100
. O -100
I O -100
' O -100
ll O -100
be O -100
a O -100
regular O -100
. O -100
. O -100
. O -100
. O -100

Great O -100
spot O -100
. O -100
Comfortable O -100
little O -100
joint O -100
smack O -100
dab B-ASP Positive
in O -100
the O -100
middle O -100
of O -100
Harvard O -100
Square O -100
. O -100
Drop O -100
in O -100
on O -100
a O -100
hot O -100
day O -100
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grab O -100
a O -100
bubble O -100
tea O -100
while O -100
shootin O -100
' O -100
the O -100
breeze O -100
with O -100
the O -100
staff B-ASP -100
. O -100
You O -100
can O -100
also O -100
challenge O -100
Harvard O -100
students O -100
to O -100
a O -100
game O -100
of O -100
Street O -100
Fighter O -100
2 O -100
if O -100
you O -100
feel O -100
the O -100
need O -100
, O -100
but O -100
personally O -100
I O -100
like O -100
to O -100
just O -100
relax O -100
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keep O -100
the O -100
peace O -100
. O -100
The O -100
only O -100
place O -100
that O -100
rivals O -100
this O -100
is O -100
a O -100
bubble O -100
tea O -100
shop O -100
in O -100
Calgary O -100
that O -100
I O -100
walked O -100
into O -100
awkwardly O -100
while O -100
they O -100
were O -100
still O -100
under O -100
construction O -100
. O -100
They O -100
told O -100
me O -100
to O -100
come O -100
back O -100
in O -100
and O -100
gave O -100
me O -100
a O -100
free O -100
bubble O -100
tea O -100
though O -100
so O -100
they O -100
are O -100
scoring O -100
points O -100
stricly O -100
on O -100
being O -100
nice O -100
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not O -100
charging O -100
anything O -100
( O -100
I O -100
still O -100
tipped O -100
though O -100
, O -100
I O -100
' O -100
m O -100
not O -100
a O -100
scumbag O -100
. O -100
) O -100
Boston O -100
Tea O -100
Stop O -100
( O -100
clever O -100
name O -100
especially O -100
with O -100
the O -100
MBTA O -100
map O -100
on O -100
the O -100
wall O -100
) O -100
is O -100
a O -100
valuable O -100
addition O -100
to O -100
the O -100
ever O -100
diminishing O -100
Harvard O -100
Square O -100
area O -100
. O -100
Pretty O -100
soon O -100
that O -100
neighborhood O -100
will O -100
be O -100
nothing O -100
but O -100
boring O -100
chain O -100
restaurants O -100
and O -100
mediocre O -100
bars O -100
so O -100
try O -100
and O -100
support O -100
the O -100
little O -100
guys O -100
while O -100
you O -100
can O -100
. O -100
Also O -100
the O -100
staff O -100
deserves O -100
a O -100
shout O -100
out O -100
. O -100
They O -100
can O -100
talk O -100
about O -100
the O -100
Rival O -100
Mob O -100
with O -100
the O -100
best O -100
of O -100
them O -100
. O -100

Great O -100
spot O -100
. O -100
Comfortable O -100
little O -100
joint O -100
smack O -100
dab B-ASP -100
in O -100
the O -100
middle O -100
of O -100
Harvard O -100
Square O -100
. O -100
Drop O -100
in O -100
on O -100
a O -100
hot O -100
day O -100
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grab O -100
a O -100
bubble O -100
tea O -100
while O -100
shootin O -100
' O -100
the O -100
breeze O -100
with O -100
the O -100
staff B-ASP Positive
. O -100
You O -100
can O -100
also O -100
challenge O -100
Harvard O -100
students O -100
to O -100
a O -100
game O -100
of O -100
Street O -100
Fighter O -100
2 O -100
if O -100
you O -100
feel O -100
the O -100
need O -100
, O -100
but O -100
personally O -100
I O -100
like O -100
to O -100
just O -100
relax O -100
and O -100
keep O -100
the O -100
peace O -100
. O -100
The O -100
only O -100
place O -100
that O -100
rivals O -100
this O -100
is O -100
a O -100
bubble O -100
tea O -100
shop O -100
in O -100
Calgary O -100
that O -100
I O -100
walked O -100
into O -100
awkwardly O -100
while O -100
they O -100
were O -100
still O -100
under O -100
construction O -100
. O -100
They O -100
told O -100
me O -100
to O -100
come O -100
back O -100
in O -100
and O -100
gave O -100
me O -100
a O -100
free O -100
bubble O -100
tea O -100
though O -100
so O -100
they O -100
are O -100
scoring O -100
points O -100
stricly O -100
on O -100
being O -100
nice O -100
and O -100
not O -100
charging O -100
anything O -100
( O -100
I O -100
still O -100
tipped O -100
though O -100
, O -100
I O -100
' O -100
m O -100
not O -100
a O -100
scumbag O -100
. O -100
) O -100
Boston O -100
Tea O -100
Stop O -100
( O -100
clever O -100
name O -100
especially O -100
with O -100
the O -100
MBTA O -100
map O -100
on O -100
the O -100
wall O -100
) O -100
is O -100
a O -100
valuable O -100
addition O -100
to O -100
the O -100
ever O -100
diminishing O -100
Harvard O -100
Square O -100
area O -100
. O -100
Pretty O -100
soon O -100
that O -100
neighborhood O -100
will O -100
be O -100
nothing O -100
but O -100
boring O -100
chain O -100
restaurants O -100
and O -100
mediocre O -100
bars O -100
so O -100
try O -100
and O -100
support O -100
the O -100
little O -100
guys O -100
while O -100
you O -100
can O -100
. O -100
Also O -100
the O -100
staff O -100
deserves O -100
a O -100
shout O -100
out O -100
. O -100
They O -100
can O -100
talk O -100
about O -100
the O -100
Rival O -100
Mob O -100
with O -100
the O -100
best O -100
of O -100
them O -100
. O -100

Out O -100
if O -100
the O -100
three O -100
burrito O -100
places O -100
on O -100
Huntington O -100
by O -100
Northeastern O -100
, O -100
this O -100
" O -100
fast B-ASP Positive
food I-ASP Positive
" O -100
is O -100
my O -100
favorite O -100
. O -100
They O -100
have O -100
pretty O -100
high O -100
quality O -100
amazing O -100
tasting O -100
food B-ASP -100
, O -100
and O -100
always O -100
change O -100
up O -100
their O -100
menu O -100
so O -100
you O -100
aren O -100
' O -100
t O -100
always O -100
ordering O -100
a O -100
normal O -100
burrito O -100
. O -100
I O -100
love O -100
the O -100
burrito O -100
bowls B-ASP -100
, O -100
personally O -100
. O -100

Out O -100
if O -100
the O -100
three O -100
burrito O -100
places O -100
on O -100
Huntington O -100
by O -100
Northeastern O -100
, O -100
this O -100
" O -100
fast B-ASP -100
food I-ASP -100
" O -100
is O -100
my O -100
favorite O -100
. O -100
They O -100
have O -100
pretty O -100
high O -100
quality O -100
amazing O -100
tasting O -100
food B-ASP Positive
, O -100
and O -100
always O -100
change O -100
up O -100
their O -100
menu O -100
so O -100
you O -100
aren O -100
' O -100
t O -100
always O -100
ordering O -100
a O -100
normal O -100
burrito O -100
. O -100
I O -100
love O -100
the O -100
burrito O -100
bowls B-ASP -100
, O -100
personally O -100
. O -100

Out O -100
if O -100
the O -100
three O -100
burrito O -100
places O -100
on O -100
Huntington O -100
by O -100
Northeastern O -100
, O -100
this O -100
" O -100
fast B-ASP -100
food I-ASP -100
" O -100
is O -100
my O -100
favorite O -100
. O -100
They O -100
have O -100
pretty O -100
high O -100
quality O -100
amazing O -100
tasting O -100
food B-ASP -100
, O -100
and O -100
always O -100
change O -100
up O -100
their O -100
menu O -100
so O -100
you O -100
aren O -100
' O -100
t O -100
always O -100
ordering O -100
a O -100
normal O -100
burrito O -100
. O -100
I O -100
love O -100
the O -100
burrito O -100
bowls B-ASP Positive
, O -100
personally O -100
. O -100

This O -100
is O -100
a O -100
place O -100
to O -100
be O -100
in O -100
the O -100
morning O -100
while O -100
visiting O -100
Portland O -100
! O -100
Blue O -100
Star O -100
donuts B-ASP Positive
have O -100
incredible O -100
sweets O -100
and O -100
savory O -100
delights O -100
to O -100
choose O -100
from O -100
. O -100
The O -100
donuts B-ASP -100
here O -100
are O -100
just O -100
mouth O -100
watering O -100
and O -100
glorious O -100
to O -100
look O -100
at O -100
while O -100
being O -100
in O -100
line O -100
because O -100
for O -100
one O -100
they O -100
are O -100
moist O -100
and O -100
not O -100
overall O -100
sweet O -100
for O -100
anyone O -100
who O -100
may O -100
be O -100
a O -100
sweet O -100
tooth O -100
. O -100
Great O -100
thing O -100
to O -100
know O -100
is O -100
that O -100
the O -100
lines O -100
aren O -100
' O -100
t O -100
too O -100
long O -100
which O -100
you O -100
may O -100
have O -100
imaged O -100
and O -100
I O -100
have O -100
to O -100
say O -100
its O -100
not O -100
like O -100
Voodoo O -100
donuts O -100
and O -100
that O -100
' O -100
s O -100
for O -100
sure O -100
. O -100

This O -100
is O -100
a O -100
place O -100
to O -100
be O -100
in O -100
the O -100
morning O -100
while O -100
visiting O -100
Portland O -100
! O -100
Blue O -100
Star O -100
donuts B-ASP -100
have O -100
incredible O -100
sweets O -100
and O -100
savory O -100
delights O -100
to O -100
choose O -100
from O -100
. O -100
The O -100
donuts B-ASP Positive
here O -100
are O -100
just O -100
mouth O -100
watering O -100
and O -100
glorious O -100
to O -100
look O -100
at O -100
while O -100
being O -100
in O -100
line O -100
because O -100
for O -100
one O -100
they O -100
are O -100
moist O -100
and O -100
not O -100
overall O -100
sweet O -100
for O -100
anyone O -100
who O -100
may O -100
be O -100
a O -100
sweet O -100
tooth O -100
. O -100
Great O -100
thing O -100
to O -100
know O -100
is O -100
that O -100
the O -100
lines O -100
aren O -100
' O -100
t O -100
too O -100
long O -100
which O -100
you O -100
may O -100
have O -100
imaged O -100
and O -100
I O -100
have O -100
to O -100
say O -100
its O -100
not O -100
like O -100
Voodoo O -100
donuts O -100
and O -100
that O -100
' O -100
s O -100
for O -100
sure O -100
. O -100

Delicious O -100
shirini B-ASP Positive
( O -100
sweets O -100
) O -100
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the O -100
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napoleans B-ASP -100
in O -100
the O -100
northeast O -100
! O -100

Delicious O -100
shirini B-ASP -100
( O -100
sweets O -100
) O -100
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the O -100
best O -100
napoleans B-ASP Positive
in O -100
the O -100
northeast O -100
! O -100

If O -100
you O -100
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' O -100
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, O -100
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, O -100
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Tiff O -100
' O -100
s O -100
Treats O -100
you O -100
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glory O -100
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cookie B-ASP Positive
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. O -100
I O -100
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Tiff O -100
' O -100
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This O -100
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I O -100
' O -100
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The O -100
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: O -100
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' O -100
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Prepare O -100
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I O -100
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The O -100
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: O -100
The O -100
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, O -100
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! O -100
Outside O -100
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Tiff O -100
' O -100
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Treats O -100
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They O -100
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you O -100
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If O -100
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' O -100
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, O -100
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Tiff O -100
' O -100
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Treats O -100
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. O -100
I O -100
am O -100
a O -100
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Tiff O -100
' O -100
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Treats O -100
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This O -100
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I O -100
' O -100
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The O -100
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: O -100
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' O -100
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Prepare O -100
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I O -100
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The O -100
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: O -100
The O -100
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, O -100
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sugar O -100
, O -100
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! O -100
Outside O -100
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, O -100
Tiff O -100
' O -100
s O -100
Treats O -100
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warm O -100
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. O -100
They O -100
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go O -100
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it O -100
if O -100
you O -100
so O -100
desire O -100
. O -100

If O -100
you O -100
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' O -100
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, O -100
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, O -100
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Tiff O -100
' O -100
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Treats O -100
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. O -100
I O -100
am O -100
a O -100
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Tiff O -100
' O -100
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Treats O -100
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This O -100
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I O -100
' O -100
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The O -100
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: O -100
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you O -100
' O -100
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Prepare O -100
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I O -100
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The O -100
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: O -100
The O -100
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, O -100
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sugar O -100
, O -100
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! O -100
Outside O -100
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Tiff O -100
' O -100
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Treats O -100
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warm O -100
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They O -100
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if O -100
you O -100
so O -100
desire O -100
. O -100

If O -100
you O -100
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' O -100
t O -100
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to O -100
, O -100
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Tiff O -100
' O -100
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Treats O -100
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. O -100
I O -100
am O -100
a O -100
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Tiff O -100
' O -100
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Treats O -100
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This O -100
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I O -100
' O -100
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too O -100
. O -100
The O -100
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: O -100
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you O -100
' O -100
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person O -100
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Prepare O -100
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I O -100
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them O -100
. O -100
The O -100
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: O -100
The O -100
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, O -100
the O -100
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! O -100
Outside O -100
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their O -100
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Tiff O -100
' O -100
s O -100
Treats O -100
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They O -100
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you O -100
so O -100
desire O -100
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If O -100
you O -100
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' O -100
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to O -100
, O -100
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, O -100
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Tiff O -100
' O -100
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Treats O -100
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sugary O -100
glory O -100
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amazingly O -100
soft O -100
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. O -100
I O -100
am O -100
a O -100
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Tiff O -100
' O -100
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Treats O -100
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This O -100
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I O -100
' O -100
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The O -100
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: O -100
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' O -100
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Prepare O -100
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I O -100
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I O -100
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99 O -100
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. O -100
The O -100
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: O -100
The O -100
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, O -100
the O -100
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, O -100
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! O -100
Outside O -100
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their O -100
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, O -100
Tiff O -100
' O -100
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Treats O -100
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They O -100
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if O -100
you O -100
so O -100
desire O -100
. O -100

To O -100
say O -100
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am O -100
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. O -100
. O -100
. O -100
quite O -100
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an O -100
understatement O -100
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I O -100
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always O -100
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Thai O -100
food O -100
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a O -100
fan O -100
of O -100
Brown O -100
Sugar O -100
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in O -100
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. O -100
When O -100
I O -100
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Fenway O -100
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heard O -100
that O -100
Thaitation O -100
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Brown O -100
Sugar O -100
. O -100
. O -100
I O -100
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Brown O -100
Sugar O -100
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a O -100
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I O -100
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Thaitation O -100
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I O -100
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wrong O -100
. O -100
Thaitation B-ASP Positive
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' O -100
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you O -100
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? O -100
! O -100

To O -100
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I O -100
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! O -100

To O -100
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When O -100
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broccoli B-ASP Positive
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! O -100

To O -100
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Thaitation O -100
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broccoli B-ASP -100
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' O -100
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! O -100

To O -100
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When O -100
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Pad B-ASP -100
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, O -100
broccoli B-ASP -100
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tofu O -100
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wonton B-ASP Positive
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mango B-ASP -100
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. O -100
. O -100
. O -100
I O -100
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' O -100
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Great O -100
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what O -100
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? O -100
! O -100

To O -100
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I O -100
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college O -100
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When O -100
I O -100
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Thaitation O -100
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Thaitation B-ASP -100
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I O -100
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Thaitation O -100
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! O -100
Pad B-ASP -100
thai I-ASP -100
, O -100
broccoli B-ASP -100
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tofu O -100
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mushrooms B-ASP -100
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wonton B-ASP -100
soup I-ASP -100
, O -100
mango B-ASP Positive
curry I-ASP Positive
. O -100
. O -100
. O -100
I O -100
could O -100
go O -100
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days O -100
! O -100
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' O -100
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. O -100
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what O -100
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you O -100
ask O -100
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! O -100

To O -100
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Thaitation O -100
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Thai O -100
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When O -100
I O -100
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Thaitation O -100
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Thaitation O -100
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Thaitation B-ASP -100
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I O -100
have O -100
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all O -100
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Thaitation O -100
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! O -100
Pad B-ASP -100
thai I-ASP -100
, O -100
broccoli B-ASP -100
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tofu O -100
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mushrooms B-ASP -100
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wonton B-ASP -100
soup I-ASP -100
, O -100
mango B-ASP -100
curry I-ASP -100
. O -100
. O -100
. O -100
I O -100
could O -100
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! O -100
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I O -100
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the O -100
prices B-ASP Positive
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' O -100
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Great O -100
Quality B-ASP -100
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Quantity O -100
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. O -100
. O -100
what O -100
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could O -100
you O -100
ask O -100
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? O -100
! O -100

To O -100
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that O -100
I O -100
am O -100
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Thaitation O -100
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I O -100
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Thai O -100
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When O -100
I O -100
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Thaitation O -100
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Brown O -100
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I O -100
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in O -100
my O -100
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, O -100
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fallen O -100
a O -100
bit O -100
so O -100
I O -100
was O -100
not O -100
sure O -100
how O -100
great O -100
Thaitation O -100
would O -100
be O -100
. O -100
I O -100
was O -100
wrong O -100
. O -100
Thaitation B-ASP -100
is O -100
just O -100
delicious O -100
. O -100
Brown O -100
Sugar O -100
is O -100
no O -100
longer O -100
a O -100
place O -100
in O -100
my O -100
go O -100
to O -100
restaurants O -100
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I O -100
have O -100
convinced O -100
all O -100
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my O -100
college O -100
friends O -100
that O -100
it O -100
is O -100
no O -100
longer O -100
worth O -100
the O -100
trip O -100
and O -100
Thaitation O -100
is O -100
the O -100
place O -100
to O -100
be O -100
! O -100
Pad B-ASP -100
thai I-ASP -100
, O -100
broccoli B-ASP -100
with I-ASP -100
tofu O -100
and O -100
mushrooms B-ASP -100
, O -100
wonton B-ASP -100
soup I-ASP -100
, O -100
mango B-ASP -100
curry I-ASP -100
. O -100
. O -100
. O -100
I O -100
could O -100
go O -100
on O -100
for O -100
days O -100
! O -100
I O -100
also O -100
love O -100
that O -100
I O -100
can O -100
usually O -100
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two O -100
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out O -100
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an O -100
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so O -100
the O -100
prices B-ASP -100
don O -100
' O -100
t O -100
seem O -100
too O -100
steep O -100
. O -100
Great O -100
Quality B-ASP Positive
, O -100
Quantity O -100
. O -100
. O -100
. O -100
what O -100
more O -100
could O -100
you O -100
ask O -100
for O -100
? O -100
! O -100

I O -100
loved O -100
the O -100
tuna O -100
tacos B-ASP Positive
. O -100
. O -100
. O -100
deep O -100
fried O -100
rolled O -100
in O -100
corn O -100
tortilla O -100
. O -100
. O -100
mmmmmmmm O -100
. O -100
Great O -100
with O -100
guac O -100
. O -100
And O -100
the O -100
migas B-ASP -100
were O -100
so O -100
yummy O -100
! O -100
My O -100
daughter O -100
always O -100
loves O -100
the O -100
breakfast O -100
tacos B-ASP -100
. O -100
On O -100
special O -100
occasions O -100
, O -100
I O -100
will O -100
get O -100
the O -100
chicken O -100
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mole O -100
sauce O -100
. O -100
SOOO O -100
good O -100
! O -100
! O -100
! O -100
Salsa O -100
is O -100
good O -100
too O -100
, O -100
fresh O -100
ingredients O -100
. O -100
I O -100
love O -100
all O -100
the O -100
fresh O -100
fruit O -100
drinks B-ASP -100
( O -100
frescas O -100
) O -100
. O -100
My O -100
favorite O -100
is O -100
the O -100
white O -100
one O -100
( O -100
rice O -100
drink O -100
) O -100
. O -100
. O -100
. O -100
probably O -100
the O -100
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for O -100
me O -100
. O -100
Great O -100
service B-ASP -100
, O -100
always O -100
friendly O -100
. O -100
I O -100
don O -100
' O -100
t O -100
mind O -100
the O -100
cheap O -100
prices O -100
either O -100
. O -100
I O -100
love O -100
the O -100
atmosphere B-ASP -100
here O -100
, O -100
cool O -100
and O -100
hip O -100
. O -100
If O -100
you O -100
' O -100
re O -100
traveling O -100
down O -100
Congress O -100
, O -100
find O -100
this O -100
place O -100
! O -100
. O -100
. O -100
. O -100
It O -100
' O -100
s O -100
a O -100
diamond O -100
in O -100
the O -100
rough O -100
! O -100
Austinite O -100
now O -100
transpotted O -100
in O -100
FL O -100
but O -100
make O -100
going O -100
to O -100
Nueva O -100
Onda O -100
a O -100
priority O -100
every O -100
time O -100
I O -100
come O -100
home O -100
to O -100
visit O -100
. O -100

I O -100
loved O -100
the O -100
tuna O -100
tacos B-ASP -100
. O -100
. O -100
. O -100
deep O -100
fried O -100
rolled O -100
in O -100
corn O -100
tortilla O -100
. O -100
. O -100
mmmmmmmm O -100
. O -100
Great O -100
with O -100
guac O -100
. O -100
And O -100
the O -100
migas B-ASP Positive
were O -100
so O -100
yummy O -100
! O -100
My O -100
daughter O -100
always O -100
loves O -100
the O -100
breakfast O -100
tacos B-ASP -100
. O -100
On O -100
special O -100
occasions O -100
, O -100
I O -100
will O -100
get O -100
the O -100
chicken O -100
with O -100
mole O -100
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. O -100
SOOO O -100
good O -100
! O -100
! O -100
! O -100
Salsa O -100
is O -100
good O -100
too O -100
, O -100
fresh O -100
ingredients O -100
. O -100
I O -100
love O -100
all O -100
the O -100
fresh O -100
fruit O -100
drinks B-ASP -100
( O -100
frescas O -100
) O -100
. O -100
My O -100
favorite O -100
is O -100
the O -100
white O -100
one O -100
( O -100
rice O -100
drink O -100
) O -100
. O -100
. O -100
. O -100
probably O -100
the O -100
worst O -100
for O -100
me O -100
. O -100
Great O -100
service B-ASP -100
, O -100
always O -100
friendly O -100
. O -100
I O -100
don O -100
' O -100
t O -100
mind O -100
the O -100
cheap O -100
prices O -100
either O -100
. O -100
I O -100
love O -100
the O -100
atmosphere B-ASP -100
here O -100
, O -100
cool O -100
and O -100
hip O -100
. O -100
If O -100
you O -100
' O -100
re O -100
traveling O -100
down O -100
Congress O -100
, O -100
find O -100
this O -100
place O -100
! O -100
. O -100
. O -100
. O -100
It O -100
' O -100
s O -100
a O -100
diamond O -100
in O -100
the O -100
rough O -100
! O -100
Austinite O -100
now O -100
transpotted O -100
in O -100
FL O -100
but O -100
make O -100
going O -100
to O -100
Nueva O -100
Onda O -100
a O -100
priority O -100
every O -100
time O -100
I O -100
come O -100
home O -100
to O -100
visit O -100
. O -100

I O -100
loved O -100
the O -100
tuna O -100
tacos B-ASP -100
. O -100
. O -100
. O -100
deep O -100
fried O -100
rolled O -100
in O -100
corn O -100
tortilla O -100
. O -100
. O -100
mmmmmmmm O -100
. O -100
Great O -100
with O -100
guac O -100
. O -100
And O -100
the O -100
migas B-ASP -100
were O -100
so O -100
yummy O -100
! O -100
My O -100
daughter O -100
always O -100
loves O -100
the O -100
breakfast O -100
tacos B-ASP Positive
. O -100
On O -100
special O -100
occasions O -100
, O -100
I O -100
will O -100
get O -100
the O -100
chicken O -100
with O -100
mole O -100
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. O -100
SOOO O -100
good O -100
! O -100
! O -100
! O -100
Salsa O -100
is O -100
good O -100
too O -100
, O -100
fresh O -100
ingredients O -100
. O -100
I O -100
love O -100
all O -100
the O -100
fresh O -100
fruit O -100
drinks B-ASP -100
( O -100
frescas O -100
) O -100
. O -100
My O -100
favorite O -100
is O -100
the O -100
white O -100
one O -100
( O -100
rice O -100
drink O -100
) O -100
. O -100
. O -100
. O -100
probably O -100
the O -100
worst O -100
for O -100
me O -100
. O -100
Great O -100
service B-ASP -100
, O -100
always O -100
friendly O -100
. O -100
I O -100
don O -100
' O -100
t O -100
mind O -100
the O -100
cheap O -100
prices O -100
either O -100
. O -100
I O -100
love O -100
the O -100
atmosphere B-ASP -100
here O -100
, O -100
cool O -100
and O -100
hip O -100
. O -100
If O -100
you O -100
' O -100
re O -100
traveling O -100
down O -100
Congress O -100
, O -100
find O -100
this O -100
place O -100
! O -100
. O -100
. O -100
. O -100
It O -100
' O -100
s O -100
a O -100
diamond O -100
in O -100
the O -100
rough O -100
! O -100
Austinite O -100
now O -100
transpotted O -100
in O -100
FL O -100
but O -100
make O -100
going O -100
to O -100
Nueva O -100
Onda O -100
a O -100
priority O -100
every O -100
time O -100
I O -100
come O -100
home O -100
to O -100
visit O -100
. O -100

I O -100
loved O -100
the O -100
tuna O -100
tacos B-ASP -100
. O -100
. O -100
. O -100
deep O -100
fried O -100
rolled O -100
in O -100
corn O -100
tortilla O -100
. O -100
. O -100
mmmmmmmm O -100
. O -100
Great O -100
with O -100
guac O -100
. O -100
And O -100
the O -100
migas B-ASP -100
were O -100
so O -100
yummy O -100
! O -100
My O -100
daughter O -100
always O -100
loves O -100
the O -100
breakfast O -100
tacos B-ASP -100
. O -100
On O -100
special O -100
occasions O -100
, O -100
I O -100
will O -100
get O -100
the O -100
chicken O -100
with O -100
mole O -100
sauce O -100
. O -100
SOOO O -100
good O -100
! O -100
! O -100
! O -100
Salsa O -100
is O -100
good O -100
too O -100
, O -100
fresh O -100
ingredients O -100
. O -100
I O -100
love O -100
all O -100
the O -100
fresh O -100
fruit O -100
drinks B-ASP Positive
( O -100
frescas O -100
) O -100
. O -100
My O -100
favorite O -100
is O -100
the O -100
white O -100
one O -100
( O -100
rice O -100
drink O -100
) O -100
. O -100
. O -100
. O -100
probably O -100
the O -100
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for O -100
me O -100
. O -100
Great O -100
service B-ASP -100
, O -100
always O -100
friendly O -100
. O -100
I O -100
don O -100
' O -100
t O -100
mind O -100
the O -100
cheap O -100
prices O -100
either O -100
. O -100
I O -100
love O -100
the O -100
atmosphere B-ASP -100
here O -100
, O -100
cool O -100
and O -100
hip O -100
. O -100
If O -100
you O -100
' O -100
re O -100
traveling O -100
down O -100
Congress O -100
, O -100
find O -100
this O -100
place O -100
! O -100
. O -100
. O -100
. O -100
It O -100
' O -100
s O -100
a O -100
diamond O -100
in O -100
the O -100
rough O -100
! O -100
Austinite O -100
now O -100
transpotted O -100
in O -100
FL O -100
but O -100
make O -100
going O -100
to O -100
Nueva O -100
Onda O -100
a O -100
priority O -100
every O -100
time O -100
I O -100
come O -100
home O -100
to O -100
visit O -100
. O -100

I O -100
loved O -100
the O -100
tuna O -100
tacos B-ASP -100
. O -100
. O -100
. O -100
deep O -100
fried O -100
rolled O -100
in O -100
corn O -100
tortilla O -100
. O -100
. O -100
mmmmmmmm O -100
. O -100
Great O -100
with O -100
guac O -100
. O -100
And O -100
the O -100
migas B-ASP -100
were O -100
so O -100
yummy O -100
! O -100
My O -100
daughter O -100
always O -100
loves O -100
the O -100
breakfast O -100
tacos B-ASP -100
. O -100
On O -100
special O -100
occasions O -100
, O -100
I O -100
will O -100
get O -100
the O -100
chicken O -100
with O -100
mole O -100
sauce O -100
. O -100
SOOO O -100
good O -100
! O -100
! O -100
! O -100
Salsa O -100
is O -100
good O -100
too O -100
, O -100
fresh O -100
ingredients O -100
. O -100
I O -100
love O -100
all O -100
the O -100
fresh O -100
fruit O -100
drinks B-ASP -100
( O -100
frescas O -100
) O -100
. O -100
My O -100
favorite O -100
is O -100
the O -100
white O -100
one O -100
( O -100
rice O -100
drink O -100
) O -100
. O -100
. O -100
. O -100
probably O -100
the O -100
worst O -100
for O -100
me O -100
. O -100
Great O -100
service B-ASP Positive
, O -100
always O -100
friendly O -100
. O -100
I O -100
don O -100
' O -100
t O -100
mind O -100
the O -100
cheap O -100
prices O -100
either O -100
. O -100
I O -100
love O -100
the O -100
atmosphere B-ASP -100
here O -100
, O -100
cool O -100
and O -100
hip O -100
. O -100
If O -100
you O -100
' O -100
re O -100
traveling O -100
down O -100
Congress O -100
, O -100
find O -100
this O -100
place O -100
! O -100
. O -100
. O -100
. O -100
It O -100
' O -100
s O -100
a O -100
diamond O -100
in O -100
the O -100
rough O -100
! O -100
Austinite O -100
now O -100
transpotted O -100
in O -100
FL O -100
but O -100
make O -100
going O -100
to O -100
Nueva O -100
Onda O -100
a O -100
priority O -100
every O -100
time O -100
I O -100
come O -100
home O -100
to O -100
visit O -100
. O -100

I O -100
loved O -100
the O -100
tuna O -100
tacos B-ASP -100
. O -100
. O -100
. O -100
deep O -100
fried O -100
rolled O -100
in O -100
corn O -100
tortilla O -100
. O -100
. O -100
mmmmmmmm O -100
. O -100
Great O -100
with O -100
guac O -100
. O -100
And O -100
the O -100
migas B-ASP -100
were O -100
so O -100
yummy O -100
! O -100
My O -100
daughter O -100
always O -100
loves O -100
the O -100
breakfast O -100
tacos B-ASP -100
. O -100
On O -100
special O -100
occasions O -100
, O -100
I O -100
will O -100
get O -100
the O -100
chicken O -100
with O -100
mole O -100
sauce O -100
. O -100
SOOO O -100
good O -100
! O -100
! O -100
! O -100
Salsa O -100
is O -100
good O -100
too O -100
, O -100
fresh O -100
ingredients O -100
. O -100
I O -100
love O -100
all O -100
the O -100
fresh O -100
fruit O -100
drinks B-ASP -100
( O -100
frescas O -100
) O -100
. O -100
My O -100
favorite O -100
is O -100
the O -100
white O -100
one O -100
( O -100
rice O -100
drink O -100
) O -100
. O -100
. O -100
. O -100
probably O -100
the O -100
worst O -100
for O -100
me O -100
. O -100
Great O -100
service B-ASP -100
, O -100
always O -100
friendly O -100
. O -100
I O -100
don O -100
' O -100
t O -100
mind O -100
the O -100
cheap O -100
prices O -100
either O -100
. O -100
I O -100
love O -100
the O -100
atmosphere B-ASP Positive
here O -100
, O -100
cool O -100
and O -100
hip O -100
. O -100
If O -100
you O -100
' O -100
re O -100
traveling O -100
down O -100
Congress O -100
, O -100
find O -100
this O -100
place O -100
! O -100
. O -100
. O -100
. O -100
It O -100
' O -100
s O -100
a O -100
diamond O -100
in O -100
the O -100
rough O -100
! O -100
Austinite O -100
now O -100
transpotted O -100
in O -100
FL O -100
but O -100
make O -100
going O -100
to O -100
Nueva O -100
Onda O -100
a O -100
priority O -100
every O -100
time O -100
I O -100
come O -100
home O -100
to O -100
visit O -100
. O -100

Visited O -100
this O -100
restaurant O -100
today O -100
for O -100
their O -100
new O -100
weekday O -100
lunch O -100
hour O -100
and O -100
was O -100
immediately O -100
impressed O -100
by O -100
the O -100
friendliness O -100
of O -100
the O -100
staff B-ASP Positive
and O -100
service B-ASP -100
. O -100
However O -100
, O -100
after O -100
my O -100
Caesar O -100
salad B-ASP -100
with O -100
grilled O -100
shrimp O -100
( O -100
$ O -100
8 O -100
additional O -100
) O -100
showed O -100
up O -100
, O -100
I O -100
was O -100
less O -100
than O -100
impressed O -100
. O -100
This O -100
dish O -100
comes O -100
with O -100
4 O -100
pretty O -100
small O -100
grilled O -100
shrimp O -100
, O -100
that O -100
should O -100
really O -100
only O -100
be O -100
worth O -100
$ O -100
4 O -100
at O -100
most O -100
. O -100
I O -100
even O -100
asked O -100
the O -100
waitress O -100
if O -100
that O -100
was O -100
all O -100
the O -100
shrimp O -100
it O -100
came O -100
with O -100
and O -100
she O -100
confirmed O -100
it O -100
was O -100
. O -100
Will O -100
not O -100
return O -100
to O -100
this O -100
restaurant O -100
as O -100
I O -100
don O -100
' O -100
t O -100
feel O -100
at O -100
all O -100
that O -100
I O -100
got O -100
a O -100
meal O -100
worth B-ASP -100
what O -100
I O -100
paid O -100
. O -100

Visited O -100
this O -100
restaurant O -100
today O -100
for O -100
their O -100
new O -100
weekday O -100
lunch O -100
hour O -100
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was O -100
immediately O -100
impressed O -100
by O -100
the O -100
friendliness O -100
of O -100
the O -100
staff B-ASP -100
and O -100
service B-ASP Positive
. O -100
However O -100
, O -100
after O -100
my O -100
Caesar O -100
salad B-ASP -100
with O -100
grilled O -100
shrimp O -100
( O -100
$ O -100
8 O -100
additional O -100
) O -100
showed O -100
up O -100
, O -100
I O -100
was O -100
less O -100
than O -100
impressed O -100
. O -100
This O -100
dish O -100
comes O -100
with O -100
4 O -100
pretty O -100
small O -100
grilled O -100
shrimp O -100
, O -100
that O -100
should O -100
really O -100
only O -100
be O -100
worth O -100
$ O -100
4 O -100
at O -100
most O -100
. O -100
I O -100
even O -100
asked O -100
the O -100
waitress O -100
if O -100
that O -100
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all O -100
the O -100
shrimp O -100
it O -100
came O -100
with O -100
and O -100
she O -100
confirmed O -100
it O -100
was O -100
. O -100
Will O -100
not O -100
return O -100
to O -100
this O -100
restaurant O -100
as O -100
I O -100
don O -100
' O -100
t O -100
feel O -100
at O -100
all O -100
that O -100
I O -100
got O -100
a O -100
meal O -100
worth B-ASP -100
what O -100
I O -100
paid O -100
. O -100

Visited O -100
this O -100
restaurant O -100
today O -100
for O -100
their O -100
new O -100
weekday O -100
lunch O -100
hour O -100
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was O -100
immediately O -100
impressed O -100
by O -100
the O -100
friendliness O -100
of O -100
the O -100
staff B-ASP -100
and O -100
service B-ASP -100
. O -100
However O -100
, O -100
after O -100
my O -100
Caesar O -100
salad B-ASP Negative
with O -100
grilled O -100
shrimp O -100
( O -100
$ O -100
8 O -100
additional O -100
) O -100
showed O -100
up O -100
, O -100
I O -100
was O -100
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impressed O -100
. O -100
This O -100
dish O -100
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4 O -100
pretty O -100
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grilled O -100
shrimp O -100
, O -100
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$ O -100
4 O -100
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most O -100
. O -100
I O -100
even O -100
asked O -100
the O -100
waitress O -100
if O -100
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shrimp O -100
it O -100
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she O -100
confirmed O -100
it O -100
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. O -100
Will O -100
not O -100
return O -100
to O -100
this O -100
restaurant O -100
as O -100
I O -100
don O -100
' O -100
t O -100
feel O -100
at O -100
all O -100
that O -100
I O -100
got O -100
a O -100
meal O -100
worth B-ASP -100
what O -100
I O -100
paid O -100
. O -100

Visited O -100
this O -100
restaurant O -100
today O -100
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their O -100
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weekday O -100
lunch O -100
hour O -100
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friendliness O -100
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service B-ASP -100
. O -100
However O -100
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my O -100
Caesar O -100
salad B-ASP -100
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( O -100
$ O -100
8 O -100
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I O -100
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This O -100
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4 O -100
pretty O -100
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grilled O -100
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, O -100
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$ O -100
4 O -100
at O -100
most O -100
. O -100
I O -100
even O -100
asked O -100
the O -100
waitress O -100
if O -100
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all O -100
the O -100
shrimp O -100
it O -100
came O -100
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she O -100
confirmed O -100
it O -100
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. O -100
Will O -100
not O -100
return O -100
to O -100
this O -100
restaurant O -100
as O -100
I O -100
don O -100
' O -100
t O -100
feel O -100
at O -100
all O -100
that O -100
I O -100
got O -100
a O -100
meal O -100
worth B-ASP Negative
what O -100
I O -100
paid O -100
. O -100

I O -100
took O -100
my O -100
husband O -100
here O -100
last O -100
night O -100
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his O -100
birthday O -100
. O -100
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I O -100
made O -100
the O -100
reservation O -100
they O -100
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if O -100
it O -100
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for O -100
a O -100
special O -100
occasion O -100
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I O -100
told O -100
them O -100
it O -100
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for O -100
a O -100
birthday O -100
. O -100
Everyone O -100
who O -100
came O -100
to O -100
our O -100
table O -100
knew O -100
and O -100
made O -100
sure O -100
to O -100
wish O -100
him O -100
a O -100
happy O -100
birthday O -100
. O -100
We O -100
ordered O -100
the O -100
special O -100
appetizer B-ASP Positive
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was O -100
a O -100
nice O -100
assortment O -100
of O -100
scallops O -100
, O -100
shrimp O -100
, O -100
mussels O -100
, O -100
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some O -100
sort O -100
of O -100
white O -100
fish O -100
in O -100
a O -100
tomato O -100
sauce O -100
. O -100
He O -100
got O -100
the O -100
skate B-ASP -100
fish I-ASP -100
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I O -100
ordered O -100
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halibut B-ASP -100
. O -100
Both O -100
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The O -100
reason O -100
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5 O -100
stars O -100
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the O -100
service B-ASP -100
. O -100
It O -100
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remarkable O -100
. O -100
The O -100
waiter B-ASP -100
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spilled O -100
my O -100
water O -100
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you O -100
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a O -100
fire O -100
by O -100
how O -100
many O -100
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the O -100
staff O -100
responded B-ASP -100
. O -100
The O -100
manager B-ASP -100
also O -100
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over O -100
to O -100
apologize O -100
. O -100
The O -100
waiter O -100
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very O -100
knowledgeable O -100
about O -100
the O -100
fish O -100
selection O -100
as O -100
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the O -100
wine O -100
. O -100
They O -100
even O -100
gave O -100
us O -100
pistachio O -100
ice O -100
cream O -100
, O -100
baklava O -100
, O -100
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homemade O -100
donuts O -100
as O -100
a O -100
birthday O -100
dessert O -100
. O -100

I O -100
took O -100
my O -100
husband O -100
here O -100
last O -100
night O -100
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his O -100
birthday O -100
. O -100
When O -100
I O -100
made O -100
the O -100
reservation O -100
they O -100
asked O -100
if O -100
it O -100
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for O -100
a O -100
special O -100
occasion O -100
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I O -100
told O -100
them O -100
it O -100
was O -100
for O -100
a O -100
birthday O -100
. O -100
Everyone O -100
who O -100
came O -100
to O -100
our O -100
table O -100
knew O -100
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made O -100
sure O -100
to O -100
wish O -100
him O -100
a O -100
happy O -100
birthday O -100
. O -100
We O -100
ordered O -100
the O -100
special O -100
appetizer B-ASP -100
which O -100
was O -100
a O -100
nice O -100
assortment O -100
of O -100
scallops O -100
, O -100
shrimp O -100
, O -100
mussels O -100
, O -100
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some O -100
sort O -100
of O -100
white O -100
fish O -100
in O -100
a O -100
tomato O -100
sauce O -100
. O -100
He O -100
got O -100
the O -100
skate B-ASP Positive
fish I-ASP Positive
and O -100
I O -100
ordered O -100
the O -100
halibut B-ASP -100
. O -100
Both O -100
were O -100
impressive O -100
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lightly O -100
seasoned O -100
so O -100
that O -100
you O -100
could O -100
taste O -100
the O -100
natural O -100
flavor O -100
. O -100
The O -100
reason O -100
we O -100
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giving O -100
this O -100
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5 O -100
stars O -100
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because O -100
of O -100
the O -100
service B-ASP -100
. O -100
It O -100
was O -100
remarkable O -100
. O -100
The O -100
waiter B-ASP -100
accidentally O -100
spilled O -100
my O -100
water O -100
and O -100
you O -100
would O -100
have O -100
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there O -100
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a O -100
fire O -100
by O -100
how O -100
many O -100
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the O -100
staff O -100
responded B-ASP -100
. O -100
The O -100
manager B-ASP -100
also O -100
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over O -100
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apologize O -100
. O -100
The O -100
waiter O -100
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very O -100
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about O -100
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selection O -100
as O -100
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the O -100
wine O -100
. O -100
They O -100
even O -100
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us O -100
pistachio O -100
ice O -100
cream O -100
, O -100
baklava O -100
, O -100
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homemade O -100
donuts O -100
as O -100
a O -100
birthday O -100
dessert O -100
. O -100

I O -100
took O -100
my O -100
husband O -100
here O -100
last O -100
night O -100
for O -100
his O -100
birthday O -100
. O -100
When O -100
I O -100
made O -100
the O -100
reservation O -100
they O -100
asked O -100
if O -100
it O -100
was O -100
for O -100
a O -100
special O -100
occasion O -100
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I O -100
told O -100
them O -100
it O -100
was O -100
for O -100
a O -100
birthday O -100
. O -100
Everyone O -100
who O -100
came O -100
to O -100
our O -100
table O -100
knew O -100
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made O -100
sure O -100
to O -100
wish O -100
him O -100
a O -100
happy O -100
birthday O -100
. O -100
We O -100
ordered O -100
the O -100
special O -100
appetizer B-ASP -100
which O -100
was O -100
a O -100
nice O -100
assortment O -100
of O -100
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, O -100
shrimp O -100
, O -100
mussels O -100
, O -100
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some O -100
sort O -100
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white O -100
fish O -100
in O -100
a O -100
tomato O -100
sauce O -100
. O -100
He O -100
got O -100
the O -100
skate B-ASP -100
fish I-ASP -100
and O -100
I O -100
ordered O -100
the O -100
halibut B-ASP Positive
. O -100
Both O -100
were O -100
impressive O -100
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were O -100
lightly O -100
seasoned O -100
so O -100
that O -100
you O -100
could O -100
taste O -100
the O -100
natural O -100
flavor O -100
. O -100
The O -100
reason O -100
we O -100
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giving O -100
this O -100
place O -100
5 O -100
stars O -100
is O -100
because O -100
of O -100
the O -100
service B-ASP -100
. O -100
It O -100
was O -100
remarkable O -100
. O -100
The O -100
waiter B-ASP -100
accidentally O -100
spilled O -100
my O -100
water O -100
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you O -100
would O -100
have O -100
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there O -100
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a O -100
fire O -100
by O -100
how O -100
many O -100
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the O -100
staff O -100
responded B-ASP -100
. O -100
The O -100
manager B-ASP -100
also O -100
came O -100
over O -100
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apologize O -100
. O -100
The O -100
waiter O -100
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very O -100
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about O -100
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fish O -100
selection O -100
as O -100
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the O -100
wine O -100
. O -100
They O -100
even O -100
gave O -100
us O -100
pistachio O -100
ice O -100
cream O -100
, O -100
baklava O -100
, O -100
and O -100
homemade O -100
donuts O -100
as O -100
a O -100
birthday O -100
dessert O -100
. O -100

I O -100
took O -100
my O -100
husband O -100
here O -100
last O -100
night O -100
for O -100
his O -100
birthday O -100
. O -100
When O -100
I O -100
made O -100
the O -100
reservation O -100
they O -100
asked O -100
if O -100
it O -100
was O -100
for O -100
a O -100
special O -100
occasion O -100
and O -100
I O -100
told O -100
them O -100
it O -100
was O -100
for O -100
a O -100
birthday O -100
. O -100
Everyone O -100
who O -100
came O -100
to O -100
our O -100
table O -100
knew O -100
and O -100
made O -100
sure O -100
to O -100
wish O -100
him O -100
a O -100
happy O -100
birthday O -100
. O -100
We O -100
ordered O -100
the O -100
special O -100
appetizer B-ASP -100
which O -100
was O -100
a O -100
nice O -100
assortment O -100
of O -100
scallops O -100
, O -100
shrimp O -100
, O -100
mussels O -100
, O -100
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some O -100
sort O -100
of O -100
white O -100
fish O -100
in O -100
a O -100
tomato O -100
sauce O -100
. O -100
He O -100
got O -100
the O -100
skate B-ASP -100
fish I-ASP -100
and O -100
I O -100
ordered O -100
the O -100
halibut B-ASP -100
. O -100
Both O -100
were O -100
impressive O -100
and O -100
were O -100
lightly O -100
seasoned O -100
so O -100
that O -100
you O -100
could O -100
taste O -100
the O -100
natural O -100
flavor O -100
. O -100
The O -100
reason O -100
we O -100
are O -100
giving O -100
this O -100
place O -100
5 O -100
stars O -100
is O -100
because O -100
of O -100
the O -100
service B-ASP Positive
. O -100
It O -100
was O -100
remarkable O -100
. O -100
The O -100
waiter B-ASP -100
accidentally O -100
spilled O -100
my O -100
water O -100
and O -100
you O -100
would O -100
have O -100
thought O -100
there O -100
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a O -100
fire O -100
by O -100
how O -100
many O -100
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the O -100
staff O -100
responded B-ASP -100
. O -100
The O -100
manager B-ASP -100
also O -100
came O -100
over O -100
to O -100
apologize O -100
. O -100
The O -100
waiter O -100
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very O -100
knowledgeable O -100
about O -100
the O -100
fish O -100
selection O -100
as O -100
well O -100
as O -100
the O -100
wine O -100
. O -100
They O -100
even O -100
gave O -100
us O -100
pistachio O -100
ice O -100
cream O -100
, O -100
baklava O -100
, O -100
and O -100
homemade O -100
donuts O -100
as O -100
a O -100
birthday O -100
dessert O -100
. O -100

I O -100
took O -100
my O -100
husband O -100
here O -100
last O -100
night O -100
for O -100
his O -100
birthday O -100
. O -100
When O -100
I O -100
made O -100
the O -100
reservation O -100
they O -100
asked O -100
if O -100
it O -100
was O -100
for O -100
a O -100
special O -100
occasion O -100
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I O -100
told O -100
them O -100
it O -100
was O -100
for O -100
a O -100
birthday O -100
. O -100
Everyone O -100
who O -100
came O -100
to O -100
our O -100
table O -100
knew O -100
and O -100
made O -100
sure O -100
to O -100
wish O -100
him O -100
a O -100
happy O -100
birthday O -100
. O -100
We O -100
ordered O -100
the O -100
special O -100
appetizer B-ASP -100
which O -100
was O -100
a O -100
nice O -100
assortment O -100
of O -100
scallops O -100
, O -100
shrimp O -100
, O -100
mussels O -100
, O -100
and O -100
some O -100
sort O -100
of O -100
white O -100
fish O -100
in O -100
a O -100
tomato O -100
sauce O -100
. O -100
He O -100
got O -100
the O -100
skate B-ASP -100
fish I-ASP -100
and O -100
I O -100
ordered O -100
the O -100
halibut B-ASP -100
. O -100
Both O -100
were O -100
impressive O -100
and O -100
were O -100
lightly O -100
seasoned O -100
so O -100
that O -100
you O -100
could O -100
taste O -100
the O -100
natural O -100
flavor O -100
. O -100
The O -100
reason O -100
we O -100
are O -100
giving O -100
this O -100
place O -100
5 O -100
stars O -100
is O -100
because O -100
of O -100
the O -100
service B-ASP -100
. O -100
It O -100
was O -100
remarkable O -100
. O -100
The O -100
waiter B-ASP Positive
accidentally O -100
spilled O -100
my O -100
water O -100
and O -100
you O -100
would O -100
have O -100
thought O -100
there O -100
was O -100
a O -100
fire O -100
by O -100
how O -100
many O -100
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the O -100
staff O -100
responded B-ASP -100
. O -100
The O -100
manager B-ASP -100
also O -100
came O -100
over O -100
to O -100
apologize O -100
. O -100
The O -100
waiter O -100
was O -100
very O -100
knowledgeable O -100
about O -100
the O -100
fish O -100
selection O -100
as O -100
well O -100
as O -100
the O -100
wine O -100
. O -100
They O -100
even O -100
gave O -100
us O -100
pistachio O -100
ice O -100
cream O -100
, O -100
baklava O -100
, O -100
and O -100
homemade O -100
donuts O -100
as O -100
a O -100
birthday O -100
dessert O -100
. O -100

I O -100
took O -100
my O -100
husband O -100
here O -100
last O -100
night O -100
for O -100
his O -100
birthday O -100
. O -100
When O -100
I O -100
made O -100
the O -100
reservation O -100
they O -100
asked O -100
if O -100
it O -100
was O -100
for O -100
a O -100
special O -100
occasion O -100
and O -100
I O -100
told O -100
them O -100
it O -100
was O -100
for O -100
a O -100
birthday O -100
. O -100
Everyone O -100
who O -100
came O -100
to O -100
our O -100
table O -100
knew O -100
and O -100
made O -100
sure O -100
to O -100
wish O -100
him O -100
a O -100
happy O -100
birthday O -100
. O -100
We O -100
ordered O -100
the O -100
special O -100
appetizer B-ASP -100
which O -100
was O -100
a O -100
nice O -100
assortment O -100
of O -100
scallops O -100
, O -100
shrimp O -100
, O -100
mussels O -100
, O -100
and O -100
some O -100
sort O -100
of O -100
white O -100
fish O -100
in O -100
a O -100
tomato O -100
sauce O -100
. O -100
He O -100
got O -100
the O -100
skate B-ASP -100
fish I-ASP -100
and O -100
I O -100
ordered O -100
the O -100
halibut B-ASP -100
. O -100
Both O -100
were O -100
impressive O -100
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seasoned O -100
so O -100
that O -100
you O -100
could O -100
taste O -100
the O -100
natural O -100
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. O -100
The O -100
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giving O -100
this O -100
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5 O -100
stars O -100
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of O -100
the O -100
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. O -100
It O -100
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. O -100
The O -100
waiter B-ASP -100
accidentally O -100
spilled O -100
my O -100
water O -100
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you O -100
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there O -100
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a O -100
fire O -100
by O -100
how O -100
many O -100
of O -100
the O -100
staff O -100
responded B-ASP Positive
. O -100
The O -100
manager B-ASP -100
also O -100
came O -100
over O -100
to O -100
apologize O -100
. O -100
The O -100
waiter O -100
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very O -100
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the O -100
wine O -100
. O -100
They O -100
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us O -100
pistachio O -100
ice O -100
cream O -100
, O -100
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, O -100
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homemade O -100
donuts O -100
as O -100
a O -100
birthday O -100
dessert O -100
. O -100

I O -100
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my O -100
husband O -100
here O -100
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. O -100
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I O -100
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it O -100
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a O -100
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, O -100
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, O -100
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, O -100
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a O -100
tomato O -100
sauce O -100
. O -100
He O -100
got O -100
the O -100
skate B-ASP -100
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I O -100
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. O -100
Both O -100
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5 O -100
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. O -100
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my O -100
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. O -100
The O -100
manager B-ASP Positive
also O -100
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over O -100
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apologize O -100
. O -100
The O -100
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very O -100
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They O -100
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, O -100
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, O -100
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a O -100
birthday O -100
dessert O -100
. O -100

My O -100
husband O -100
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I O -100
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to O -100
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the O -100
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the O -100
car O -100
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He O -100
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cool O -100
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. O -100
The O -100
bartender B-ASP Positive
took O -100
over O -100
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friendly O -100
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' O -100
t O -100
even O -100
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to O -100
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early O -100
. O -100
I O -100
' O -100
m O -100
so O -100
glad O -100
we O -100
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. O -100
The O -100
avocado O -100
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a O -100
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the O -100
106 O -100
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huge O -100
! O -100
We O -100
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excited O -100
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Go O -100
back O -100
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try O -100
brunch O -100
. O -100

My O -100
husband O -100
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I O -100
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they O -100
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the O -100
chef O -100
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. O -100
He O -100
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the O -100
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us O -100
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cool O -100
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. O -100
The O -100
bartender B-ASP -100
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friendly O -100
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' O -100
t O -100
even O -100
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to O -100
start O -100
early O -100
. O -100
I O -100
' O -100
m O -100
so O -100
glad O -100
we O -100
stayed O -100
. O -100
The O -100
avocado O -100
toast B-ASP Positive
was O -100
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a O -100
great O -100
citrus O -100
twist O -100
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the O -100
106 O -100
burger B-ASP -100
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huge O -100
! O -100
We O -100
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excited O -100
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Go O -100
back O -100
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try O -100
brunch O -100
. O -100

My O -100
husband O -100
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I O -100
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they O -100
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the O -100
chef O -100
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He O -100
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. O -100
The O -100
bartender B-ASP -100
took O -100
over O -100
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so O -100
friendly O -100
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' O -100
t O -100
even O -100
slightly O -100
upset O -100
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to O -100
start O -100
early O -100
. O -100
I O -100
' O -100
m O -100
so O -100
glad O -100
we O -100
stayed O -100
. O -100
The O -100
avocado O -100
toast B-ASP -100
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amazing O -100
with O -100
a O -100
great O -100
citrus O -100
twist O -100
and O -100
the O -100
106 O -100
burger B-ASP Positive
was O -100
amazing O -100
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huge O -100
! O -100
We O -100
are O -100
excited O -100
to O -100
Go O -100
back O -100
and O -100
try O -100
brunch O -100
. O -100

The O -100
best O -100
sushi B-ASP Positive
at O -100
Orlando O -100
. O -100
Excellent O -100
service B-ASP -100
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great O -100
ambience B-ASP -100
to O -100
enjoy O -100
the O -100
food O -100
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relax O -100
. O -100

The O -100
best O -100
sushi B-ASP -100
at O -100
Orlando O -100
. O -100
Excellent O -100
service B-ASP Positive
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great O -100
ambience B-ASP -100
to O -100
enjoy O -100
the O -100
food O -100
and O -100
relax O -100
. O -100

The O -100
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sushi B-ASP -100
at O -100
Orlando O -100
. O -100
Excellent O -100
service B-ASP -100
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great O -100
ambience B-ASP Positive
to O -100
enjoy O -100
the O -100
food O -100
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relax O -100
. O -100

This O -100
place O -100
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pretty O -100
cool O -100
! O -100
The O -100
ambiance B-ASP Positive
has O -100
more O -100
of O -100
a O -100
nightclub O -100
feel O -100
. O -100
Music O -100
playing O -100
, O -100
an O -100
older O -100
crowd O -100
( O -100
wouldn O -100
' O -100
t O -100
recommend O -100
for O -100
families O -100
since O -100
it O -100
was O -100
just O -100
so O -100
loud O -100
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dark O -100
) O -100
. O -100
We O -100
ordered O -100
a O -100
variety O -100
of O -100
items O -100
and O -100
the O -100
food B-ASP -100
was O -100
just O -100
ok O -100
. O -100
I O -100
was O -100
expecting O -100
more O -100
because O -100
of O -100
the O -100
price B-ASP -100
point O -100
and O -100
the O -100
location O -100
. O -100
The O -100
worst O -100
was O -100
the O -100
sushi B-ASP -100
. O -100
I O -100
don O -100
' O -100
t O -100
think O -100
I O -100
' O -100
ll O -100
be O -100
back O -100
. O -100
Just O -100
not O -100
my O -100
cup O -100
of O -100
tea O -100
. O -100

This O -100
place O -100
is O -100
pretty O -100
cool O -100
! O -100
The O -100
ambiance B-ASP -100
has O -100
more O -100
of O -100
a O -100
nightclub O -100
feel O -100
. O -100
Music O -100
playing O -100
, O -100
an O -100
older O -100
crowd O -100
( O -100
wouldn O -100
' O -100
t O -100
recommend O -100
for O -100
families O -100
since O -100
it O -100
was O -100
just O -100
so O -100
loud O -100
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dark O -100
) O -100
. O -100
We O -100
ordered O -100
a O -100
variety O -100
of O -100
items O -100
and O -100
the O -100
food B-ASP Neutral
was O -100
just O -100
ok O -100
. O -100
I O -100
was O -100
expecting O -100
more O -100
because O -100
of O -100
the O -100
price B-ASP -100
point O -100
and O -100
the O -100
location O -100
. O -100
The O -100
worst O -100
was O -100
the O -100
sushi B-ASP -100
. O -100
I O -100
don O -100
' O -100
t O -100
think O -100
I O -100
' O -100
ll O -100
be O -100
back O -100
. O -100
Just O -100
not O -100
my O -100
cup O -100
of O -100
tea O -100
. O -100

This O -100
place O -100
is O -100
pretty O -100
cool O -100
! O -100
The O -100
ambiance B-ASP -100
has O -100
more O -100
of O -100
a O -100
nightclub O -100
feel O -100
. O -100
Music O -100
playing O -100
, O -100
an O -100
older O -100
crowd O -100
( O -100
wouldn O -100
' O -100
t O -100
recommend O -100
for O -100
families O -100
since O -100
it O -100
was O -100
just O -100
so O -100
loud O -100
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dark O -100
) O -100
. O -100
We O -100
ordered O -100
a O -100
variety O -100
of O -100
items O -100
and O -100
the O -100
food B-ASP -100
was O -100
just O -100
ok O -100
. O -100
I O -100
was O -100
expecting O -100
more O -100
because O -100
of O -100
the O -100
price B-ASP Negative
point O -100
and O -100
the O -100
location O -100
. O -100
The O -100
worst O -100
was O -100
the O -100
sushi B-ASP -100
. O -100
I O -100
don O -100
' O -100
t O -100
think O -100
I O -100
' O -100
ll O -100
be O -100
back O -100
. O -100
Just O -100
not O -100
my O -100
cup O -100
of O -100
tea O -100
. O -100

This O -100
place O -100
is O -100
pretty O -100
cool O -100
! O -100
The O -100
ambiance B-ASP -100
has O -100
more O -100
of O -100
a O -100
nightclub O -100
feel O -100
. O -100
Music O -100
playing O -100
, O -100
an O -100
older O -100
crowd O -100
( O -100
wouldn O -100
' O -100
t O -100
recommend O -100
for O -100
families O -100
since O -100
it O -100
was O -100
just O -100
so O -100
loud O -100
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dark O -100
) O -100
. O -100
We O -100
ordered O -100
a O -100
variety O -100
of O -100
items O -100
and O -100
the O -100
food B-ASP -100
was O -100
just O -100
ok O -100
. O -100
I O -100
was O -100
expecting O -100
more O -100
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of O -100
the O -100
price B-ASP -100
point O -100
and O -100
the O -100
location O -100
. O -100
The O -100
worst O -100
was O -100
the O -100
sushi B-ASP Negative
. O -100
I O -100
don O -100
' O -100
t O -100
think O -100
I O -100
' O -100
ll O -100
be O -100
back O -100
. O -100
Just O -100
not O -100
my O -100
cup O -100
of O -100
tea O -100
. O -100

My O -100
preferred O -100
Austin O -100
area O -100
restaurant O -100
. O -100
Quality O -100
food B-ASP Positive
& O -100
servce B-ASP -100
. O -100
Great O -100
value B-ASP -100
. O -100
Consider O -100
spliting O -100
a O -100
meail O -100
to O -100
engae O -100
the O -100
Gumbo O -100
& O -100
dessert O -100
. O -100
Best O -100
in O -100
Austin O -100
. O -100
Check O -100
hours O -100
for O -100
lunch O -100
& O -100
dinner O -100
. O -100

My O -100
preferred O -100
Austin O -100
area O -100
restaurant O -100
. O -100
Quality O -100
food B-ASP -100
& O -100
servce B-ASP Positive
. O -100
Great O -100
value B-ASP -100
. O -100
Consider O -100
spliting O -100
a O -100
meail O -100
to O -100
engae O -100
the O -100
Gumbo O -100
& O -100
dessert O -100
. O -100
Best O -100
in O -100
Austin O -100
. O -100
Check O -100
hours O -100
for O -100
lunch O -100
& O -100
dinner O -100
. O -100

My O -100
preferred O -100
Austin O -100
area O -100
restaurant O -100
. O -100
Quality O -100
food B-ASP -100
& O -100
servce B-ASP -100
. O -100
Great O -100
value B-ASP Positive
. O -100
Consider O -100
spliting O -100
a O -100
meail O -100
to O -100
engae O -100
the O -100
Gumbo O -100
& O -100
dessert O -100
. O -100
Best O -100
in O -100
Austin O -100
. O -100
Check O -100
hours O -100
for O -100
lunch O -100
& O -100
dinner O -100
. O -100

My O -100
first O -100
day O -100
. O -100
Had O -100
a O -100
hungry O -100
three O -100
year O -100
old O -100
. O -100
Ate O -100
in O -100
the O -100
lobby O -100
. O -100
They O -100
forgot O -100
our O -100
order B-ASP Negative
. O -100
We O -100
waited B-ASP -100
over O -100
an O -100
hour O -100
. O -100
What O -100
a O -100
painful O -100
memory O -100
. O -100
This O -100
was O -100
right O -100
off O -100
the O -100
plane O -100
. O -100
Meal O -100
comped O -100
but O -100
that O -100
doesn O -100
' O -100
t O -100
take O -100
it O -100
away O -100
. O -100
Hope O -100
that O -100
they O -100
aren O -100
' O -100
t O -100
like O -100
this O -100
to O -100
others O -100
. O -100
Not O -100
like O -100
they O -100
were O -100
nasty O -100
or O -100
malicious O -100
. O -100
And O -100
the O -100
shuttle B-ASP -100
? O -100
Great O -100
but O -100
not O -100
great O -100
if O -100
you O -100
are O -100
leaving O -100
late O -100
. O -100
If O -100
you O -100
leave O -100
first O -100
thing O -100
in O -100
the O -100
morning O -100
it O -100
' O -100
s O -100
good O -100
. O -100
Otherwise O -100
great O -100
hotel O -100
very O -100
well O -100
maintained O -100
. O -100

My O -100
first O -100
day O -100
. O -100
Had O -100
a O -100
hungry O -100
three O -100
year O -100
old O -100
. O -100
Ate O -100
in O -100
the O -100
lobby O -100
. O -100
They O -100
forgot O -100
our O -100
order B-ASP -100
. O -100
We O -100
waited B-ASP Negative
over O -100
an O -100
hour O -100
. O -100
What O -100
a O -100
painful O -100
memory O -100
. O -100
This O -100
was O -100
right O -100
off O -100
the O -100
plane O -100
. O -100
Meal O -100
comped O -100
but O -100
that O -100
doesn O -100
' O -100
t O -100
take O -100
it O -100
away O -100
. O -100
Hope O -100
that O -100
they O -100
aren O -100
' O -100
t O -100
like O -100
this O -100
to O -100
others O -100
. O -100
Not O -100
like O -100
they O -100
were O -100
nasty O -100
or O -100
malicious O -100
. O -100
And O -100
the O -100
shuttle B-ASP -100
? O -100
Great O -100
but O -100
not O -100
great O -100
if O -100
you O -100
are O -100
leaving O -100
late O -100
. O -100
If O -100
you O -100
leave O -100
first O -100
thing O -100
in O -100
the O -100
morning O -100
it O -100
' O -100
s O -100
good O -100
. O -100
Otherwise O -100
great O -100
hotel O -100
very O -100
well O -100
maintained O -100
. O -100

My O -100
first O -100
day O -100
. O -100
Had O -100
a O -100
hungry O -100
three O -100
year O -100
old O -100
. O -100
Ate O -100
in O -100
the O -100
lobby O -100
. O -100
They O -100
forgot O -100
our O -100
order B-ASP -100
. O -100
We O -100
waited B-ASP -100
over O -100
an O -100
hour O -100
. O -100
What O -100
a O -100
painful O -100
memory O -100
. O -100
This O -100
was O -100
right O -100
off O -100
the O -100
plane O -100
. O -100
Meal O -100
comped O -100
but O -100
that O -100
doesn O -100
' O -100
t O -100
take O -100
it O -100
away O -100
. O -100
Hope O -100
that O -100
they O -100
aren O -100
' O -100
t O -100
like O -100
this O -100
to O -100
others O -100
. O -100
Not O -100
like O -100
they O -100
were O -100
nasty O -100
or O -100
malicious O -100
. O -100
And O -100
the O -100
shuttle B-ASP Neutral
? O -100
Great O -100
but O -100
not O -100
great O -100
if O -100
you O -100
are O -100
leaving O -100
late O -100
. O -100
If O -100
you O -100
leave O -100
first O -100
thing O -100
in O -100
the O -100
morning O -100
it O -100
' O -100
s O -100
good O -100
. O -100
Otherwise O -100
great O -100
hotel O -100
very O -100
well O -100
maintained O -100
. O -100

Eating O -100
healthy O -100
I O -100
had O -100
the O -100
turkey O -100
burger B-ASP Positive
it O -100
was O -100
great O -100
. O -100
No O -100
fries O -100
and O -100
water O -100
w O -100
lemon O -100
. O -100
# O -100
JackLimeTeam O -100
had O -100
a O -100
great O -100
time O -100
. O -100
# O -100
Anchorman2 O -100

I O -100
' O -100
m O -100
less O -100
than O -100
impressed O -100
with O -100
Sweet O -100
. O -100
Like O -100
several O -100
others O -100
, O -100
I O -100
also O -100
found O -100
them O -100
a O -100
tad O -100
sweet O -100
for O -100
my O -100
taste O -100
, O -100
although O -100
not O -100
unbearably O -100
so O -100
. O -100
More O -100
importantly O -100
, O -100
the O -100
flavors O -100
are O -100
very O -100
hard O -100
to O -100
detect O -100
. O -100
I O -100
' O -100
ve O -100
had O -100
their O -100
green O -100
tea O -100
and O -100
pink O -100
lemonade O -100
flavors O -100
. O -100
The O -100
green O -100
tea O -100
cupcake O -100
' O -100
s O -100
flavor B-ASP Negative
was O -100
so O -100
mild O -100
I O -100
needed O -100
to O -100
work O -100
to O -100
try O -100
and O -100
find O -100
the O -100
hint O -100
of O -100
green O -100
tea O -100
in O -100
it O -100
. O -100
The O -100
pink O -100
lemonade B-ASP -100
was O -100
so O -100
sweet O -100
and O -100
icing O -100
heavy O -100
, O -100
I O -100
could O -100
barely O -100
taste O -100
the O -100
cherry O -100
. O -100
It O -100
was O -100
the O -100
unappealing O -100
texture O -100
, O -100
however O -100
, O -100
that O -100
bothered O -100
me O -100
the O -100
most O -100
. O -100
Their O -100
cupcakes O -100
are O -100
dry O -100
and O -100
heavy O -100
. O -100
The O -100
green O -100
tea O -100
cupcake B-ASP -100
I O -100
purchased O -100
actually O -100
appeared O -100
to O -100
be O -100
unevenly O -100
baked O -100
, O -100
with O -100
the O -100
bottom O -100
half O -100
looking O -100
undercooked O -100
. O -100
The O -100
pink O -100
lemonade O -100
cake B-ASP -100
was O -100
hard O -100
and O -100
dry O -100
. O -100
I O -100
' O -100
ve O -100
never O -100
put O -100
a O -100
cupcake O -100
down O -100
before O -100
without O -100
finishing O -100
it O -100
, O -100
but O -100
for O -100
the O -100
first O -100
time O -100
I O -100
did O -100
. O -100
This O -100
is O -100
not O -100
my O -100
idea O -100
of O -100
a O -100
perfect O -100
bite O -100
of O -100
cake O -100
and O -100
frosting O -100
. O -100
These O -100
bakers O -100
could O -100
learn O -100
a O -100
lot O -100
from O -100
the O -100
cupcake O -100
shops O -100
in O -100
DC O -100
and O -100
New O -100
York O -100
. O -100

I O -100
' O -100
m O -100
less O -100
than O -100
impressed O -100
with O -100
Sweet O -100
. O -100
Like O -100
several O -100
others O -100
, O -100
I O -100
also O -100
found O -100
them O -100
a O -100
tad O -100
sweet O -100
for O -100
my O -100
taste O -100
, O -100
although O -100
not O -100
unbearably O -100
so O -100
. O -100
More O -100
importantly O -100
, O -100
the O -100
flavors O -100
are O -100
very O -100
hard O -100
to O -100
detect O -100
. O -100
I O -100
' O -100
ve O -100
had O -100
their O -100
green O -100
tea O -100
and O -100
pink O -100
lemonade O -100
flavors O -100
. O -100
The O -100
green O -100
tea O -100
cupcake O -100
' O -100
s O -100
flavor B-ASP -100
was O -100
so O -100
mild O -100
I O -100
needed O -100
to O -100
work O -100
to O -100
try O -100
and O -100
find O -100
the O -100
hint O -100
of O -100
green O -100
tea O -100
in O -100
it O -100
. O -100
The O -100
pink O -100
lemonade B-ASP Negative
was O -100
so O -100
sweet O -100
and O -100
icing O -100
heavy O -100
, O -100
I O -100
could O -100
barely O -100
taste O -100
the O -100
cherry O -100
. O -100
It O -100
was O -100
the O -100
unappealing O -100
texture O -100
, O -100
however O -100
, O -100
that O -100
bothered O -100
me O -100
the O -100
most O -100
. O -100
Their O -100
cupcakes O -100
are O -100
dry O -100
and O -100
heavy O -100
. O -100
The O -100
green O -100
tea O -100
cupcake B-ASP -100
I O -100
purchased O -100
actually O -100
appeared O -100
to O -100
be O -100
unevenly O -100
baked O -100
, O -100
with O -100
the O -100
bottom O -100
half O -100
looking O -100
undercooked O -100
. O -100
The O -100
pink O -100
lemonade O -100
cake B-ASP -100
was O -100
hard O -100
and O -100
dry O -100
. O -100
I O -100
' O -100
ve O -100
never O -100
put O -100
a O -100
cupcake O -100
down O -100
before O -100
without O -100
finishing O -100
it O -100
, O -100
but O -100
for O -100
the O -100
first O -100
time O -100
I O -100
did O -100
. O -100
This O -100
is O -100
not O -100
my O -100
idea O -100
of O -100
a O -100
perfect O -100
bite O -100
of O -100
cake O -100
and O -100
frosting O -100
. O -100
These O -100
bakers O -100
could O -100
learn O -100
a O -100
lot O -100
from O -100
the O -100
cupcake O -100
shops O -100
in O -100
DC O -100
and O -100
New O -100
York O -100
. O -100

I O -100
' O -100
m O -100
less O -100
than O -100
impressed O -100
with O -100
Sweet O -100
. O -100
Like O -100
several O -100
others O -100
, O -100
I O -100
also O -100
found O -100
them O -100
a O -100
tad O -100
sweet O -100
for O -100
my O -100
taste O -100
, O -100
although O -100
not O -100
unbearably O -100
so O -100
. O -100
More O -100
importantly O -100
, O -100
the O -100
flavors O -100
are O -100
very O -100
hard O -100
to O -100
detect O -100
. O -100
I O -100
' O -100
ve O -100
had O -100
their O -100
green O -100
tea O -100
and O -100
pink O -100
lemonade O -100
flavors O -100
. O -100
The O -100
green O -100
tea O -100
cupcake O -100
' O -100
s O -100
flavor B-ASP -100
was O -100
so O -100
mild O -100
I O -100
needed O -100
to O -100
work O -100
to O -100
try O -100
and O -100
find O -100
the O -100
hint O -100
of O -100
green O -100
tea O -100
in O -100
it O -100
. O -100
The O -100
pink O -100
lemonade B-ASP -100
was O -100
so O -100
sweet O -100
and O -100
icing O -100
heavy O -100
, O -100
I O -100
could O -100
barely O -100
taste O -100
the O -100
cherry O -100
. O -100
It O -100
was O -100
the O -100
unappealing O -100
texture O -100
, O -100
however O -100
, O -100
that O -100
bothered O -100
me O -100
the O -100
most O -100
. O -100
Their O -100
cupcakes O -100
are O -100
dry O -100
and O -100
heavy O -100
. O -100
The O -100
green O -100
tea O -100
cupcake B-ASP Negative
I O -100
purchased O -100
actually O -100
appeared O -100
to O -100
be O -100
unevenly O -100
baked O -100
, O -100
with O -100
the O -100
bottom O -100
half O -100
looking O -100
undercooked O -100
. O -100
The O -100
pink O -100
lemonade O -100
cake B-ASP -100
was O -100
hard O -100
and O -100
dry O -100
. O -100
I O -100
' O -100
ve O -100
never O -100
put O -100
a O -100
cupcake O -100
down O -100
before O -100
without O -100
finishing O -100
it O -100
, O -100
but O -100
for O -100
the O -100
first O -100
time O -100
I O -100
did O -100
. O -100
This O -100
is O -100
not O -100
my O -100
idea O -100
of O -100
a O -100
perfect O -100
bite O -100
of O -100
cake O -100
and O -100
frosting O -100
. O -100
These O -100
bakers O -100
could O -100
learn O -100
a O -100
lot O -100
from O -100
the O -100
cupcake O -100
shops O -100
in O -100
DC O -100
and O -100
New O -100
York O -100
. O -100

I O -100
' O -100
m O -100
less O -100
than O -100
impressed O -100
with O -100
Sweet O -100
. O -100
Like O -100
several O -100
others O -100
, O -100
I O -100
also O -100
found O -100
them O -100
a O -100
tad O -100
sweet O -100
for O -100
my O -100
taste O -100
, O -100
although O -100
not O -100
unbearably O -100
so O -100
. O -100
More O -100
importantly O -100
, O -100
the O -100
flavors O -100
are O -100
very O -100
hard O -100
to O -100
detect O -100
. O -100
I O -100
' O -100
ve O -100
had O -100
their O -100
green O -100
tea O -100
and O -100
pink O -100
lemonade O -100
flavors O -100
. O -100
The O -100
green O -100
tea O -100
cupcake O -100
' O -100
s O -100
flavor B-ASP -100
was O -100
so O -100
mild O -100
I O -100
needed O -100
to O -100
work O -100
to O -100
try O -100
and O -100
find O -100
the O -100
hint O -100
of O -100
green O -100
tea O -100
in O -100
it O -100
. O -100
The O -100
pink O -100
lemonade B-ASP -100
was O -100
so O -100
sweet O -100
and O -100
icing O -100
heavy O -100
, O -100
I O -100
could O -100
barely O -100
taste O -100
the O -100
cherry O -100
. O -100
It O -100
was O -100
the O -100
unappealing O -100
texture O -100
, O -100
however O -100
, O -100
that O -100
bothered O -100
me O -100
the O -100
most O -100
. O -100
Their O -100
cupcakes O -100
are O -100
dry O -100
and O -100
heavy O -100
. O -100
The O -100
green O -100
tea O -100
cupcake B-ASP -100
I O -100
purchased O -100
actually O -100
appeared O -100
to O -100
be O -100
unevenly O -100
baked O -100
, O -100
with O -100
the O -100
bottom O -100
half O -100
looking O -100
undercooked O -100
. O -100
The O -100
pink O -100
lemonade O -100
cake B-ASP Negative
was O -100
hard O -100
and O -100
dry O -100
. O -100
I O -100
' O -100
ve O -100
never O -100
put O -100
a O -100
cupcake O -100
down O -100
before O -100
without O -100
finishing O -100
it O -100
, O -100
but O -100
for O -100
the O -100
first O -100
time O -100
I O -100
did O -100
. O -100
This O -100
is O -100
not O -100
my O -100
idea O -100
of O -100
a O -100
perfect O -100
bite O -100
of O -100
cake O -100
and O -100
frosting O -100
. O -100
These O -100
bakers O -100
could O -100
learn O -100
a O -100
lot O -100
from O -100
the O -100
cupcake O -100
shops O -100
in O -100
DC O -100
and O -100
New O -100
York O -100
. O -100

Super O -100
fan O -100
of O -100
this O -100
spot O -100
in O -100
downtown O -100
! O -100
Came O -100
out O -100
for O -100
a O -100
lunch O -100
meeting O -100
and O -100
was O -100
surprised O -100
at O -100
how O -100
good O -100
it O -100
truly O -100
was O -100
. O -100
Ordered O -100
the O -100
Lamb O -100
Gyro O -100
platter O -100
with O -100
side O -100
of O -100
Hummus O -100
and O -100
Babaghanoush O -100
. O -100
Platter B-ASP Positive
has O -100
a O -100
good O -100
portion O -100
of O -100
lamb O -100
on O -100
top O -100
of O -100
a O -100
small O -100
amount O -100
of O -100
rice O -100
. O -100
. O -100
. O -100
served O -100
with O -100
pita O -100
and O -100
pita O -100
chips O -100
. O -100
Great O -100
Lunch O -100
spot O -100
. O -100
My O -100
new O -100
fav O -100
Mediterranean O -100
food O -100
place O -100
in O -100
Orlando O -100
! O -100

Really O -100
tasty O -100
and O -100
very O -100
fresh O -100
food B-ASP Positive
. O -100
We O -100
ordered O -100
a O -100
salad O -100
, O -100
a O -100
gyro O -100
, O -100
hummus O -100
and O -100
baklava O -100
and O -100
everything O -100
was O -100
delicious O -100
and O -100
really O -100
fresh O -100
. O -100
Only O -100
subtracted O -100
one O -100
star O -100
because O -100
they O -100
need O -100
a O -100
water B-ASP -100
filter O -100
on O -100
their O -100
drinks O -100
. O -100
They O -100
all O -100
have O -100
a O -100
funky O -100
taste O -100
. O -100
I O -100
will O -100
def O -100
be O -100
back O -100
often O -100
and O -100
just O -100
buy O -100
the O -100
Mexican O -100
cokes O -100
to O -100
go O -100
with O -100
. O -100

Really O -100
tasty O -100
and O -100
very O -100
fresh O -100
food B-ASP -100
. O -100
We O -100
ordered O -100
a O -100
salad O -100
, O -100
a O -100
gyro O -100
, O -100
hummus O -100
and O -100
baklava O -100
and O -100
everything O -100
was O -100
delicious O -100
and O -100
really O -100
fresh O -100
. O -100
Only O -100
subtracted O -100
one O -100
star O -100
because O -100
they O -100
need O -100
a O -100
water B-ASP Negative
filter O -100
on O -100
their O -100
drinks O -100
. O -100
They O -100
all O -100
have O -100
a O -100
funky O -100
taste O -100
. O -100
I O -100
will O -100
def O -100
be O -100
back O -100
often O -100
and O -100
just O -100
buy O -100
the O -100
Mexican O -100
cokes O -100
to O -100
go O -100
with O -100
. O -100

This O -100
place O -100
is O -100
good O -100
! O -100
You O -100
have O -100
to O -100
stop O -100
and O -100
try O -100
if O -100
your O -100
in O -100
Austin O -100
. O -100
I O -100
had O -100
the O -100
Raspberry O -100
white O -100
chocolate O -100
shake O -100
and O -100
a O -100
burger O -100
. O -100
Best O -100
burger B-ASP Positive
place O -100
in O -100
Austin O -100
. O -100

Now O -100
, O -100
I O -100
have O -100
written O -100
on O -100
the O -100
subject O -100
of O -100
shabu O -100
shabu O -100
before O -100
and O -100
there O -100
is O -100
not O -100
question O -100
that O -100
it O -100
is O -100
my O -100
personal O -100
favorite O -100
and O -100
Kaze O -100
Shabu O -100
Shabu O -100
is O -100
and O -100
always O -100
will O -100
be O -100
the O -100
tastiest O -100
and O -100
best O -100
quality O -100
hot B-ASP Positive
pot I-ASP Positive
that O -100
I O -100
have O -100
ever O -100
had O -100
but O -100
Hot O -100
Pot O -100
Buffet O -100
is O -100
a O -100
really O -100
great O -100
way O -100
for O -100
hot O -100
pot O -100
newbies O -100
to O -100
experience O -100
a O -100
wide O -100
rang O -100
of O -100
ingredients O -100
for O -100
one O -100
low O -100
price O -100
. O -100
You O -100
can O -100
keep O -100
eating O -100
for O -100
hours O -100
if O -100
you O -100
want O -100
, O -100
and O -100
they O -100
just O -100
keep O -100
on O -100
refilling O -100
your O -100
broth O -100
and O -100
items O -100
if O -100
you O -100
ask O -100
them O -100
for O -100
it O -100
. O -100
They O -100
don O -100
' O -100
t O -100
exactly O -100
offer O -100
to O -100
bring O -100
you O -100
things O -100
without O -100
you O -100
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20 I-ASP -100
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Kaze O -100
Shabu O -100
Shabu O -100
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pot I-ASP -100
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Pot O -100
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pot O -100
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beef O -100
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For O -100
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20 I-ASP -100
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China O -100
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. O -100

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, O -100
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favorite O -100
and O -100
Kaze O -100
Shabu O -100
Shabu O -100
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pot I-ASP -100
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Pot O -100
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You O -100
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were O -100
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20 I-ASP -100
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China O -100
Town O -100
. O -100

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favorite O -100
and O -100
Kaze O -100
Shabu O -100
Shabu O -100
is O -100
and O -100
always O -100
will O -100
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the O -100
tastiest O -100
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best O -100
quality O -100
hot B-ASP -100
pot I-ASP -100
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Pot O -100
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pot O -100
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it O -100
. O -100
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were O -100
not O -100
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us O -100
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. O -100
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beef O -100
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by O -100
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20 I-ASP -100
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in O -100
China O -100
Town O -100
. O -100

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, O -100
I O -100
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shabu O -100
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and O -100
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is O -100
not O -100
question O -100
that O -100
it O -100
is O -100
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personal O -100
favorite O -100
and O -100
Kaze O -100
Shabu O -100
Shabu O -100
is O -100
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always O -100
will O -100
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the O -100
tastiest O -100
and O -100
best O -100
quality O -100
hot B-ASP -100
pot I-ASP -100
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Pot O -100
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price O -100
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You O -100
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were O -100
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us O -100
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. O -100

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and O -100
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and O -100
Kaze O -100
Shabu O -100
Shabu O -100
is O -100
and O -100
always O -100
will O -100
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tastiest O -100
and O -100
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pot I-ASP -100
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satay O -100
and O -100
soy O -100
based O -100
) O -100
was O -100
not O -100
too O -100
bad O -100
. O -100
I O -100
would O -100
try O -100
a O -100
different O -100
broth O -100
with O -100
a O -100
little O -100
more O -100
flavor O -100
next O -100
time O -100
. O -100
We O -100
had O -100
a O -100
ton O -100
of O -100
stuff O -100
, O -100
but O -100
our O -100
favorites B-ASP -100
were O -100
the O -100
kobe O -100
beef O -100
, O -100
the O -100
scallion O -100
dumplings O -100
, O -100
the O -100
taro O -100
root O -100
, O -100
the O -100
salmon O -100
, O -100
and O -100
the O -100
absolutely O -100
delicious O -100
crab O -100
legs O -100
we O -100
got O -100
two O -100
orders O -100
! O -100
! O -100
Really O -100
you O -100
can O -100
' O -100
t O -100
go O -100
wrong O -100
here O -100
unless O -100
you O -100
are O -100
bothered O -100
by O -100
the O -100
slightly O -100
fishy O -100
smell O -100
when O -100
you O -100
first O -100
walk O -100
in O -100
. O -100
But O -100
you O -100
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used O -100
to O -100
it O -100
! O -100
For O -100
$ B-ASP Positive
20 I-ASP Positive
. O -100
00 O -100
this O -100
is O -100
about O -100
the O -100
best O -100
deal B-ASP -100
in O -100
China O -100
Town O -100
. O -100

Now O -100
, O -100
I O -100
have O -100
written O -100
on O -100
the O -100
subject O -100
of O -100
shabu O -100
shabu O -100
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and O -100
there O -100
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not O -100
question O -100
that O -100
it O -100
is O -100
my O -100
personal O -100
favorite O -100
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Kaze O -100
Shabu O -100
Shabu O -100
is O -100
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always O -100
will O -100
be O -100
the O -100
tastiest O -100
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best O -100
quality O -100
hot B-ASP -100
pot I-ASP -100
that O -100
I O -100
have O -100
ever O -100
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Hot O -100
Pot O -100
Buffet O -100
is O -100
a O -100
really O -100
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way O -100
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hot O -100
pot O -100
newbies O -100
to O -100
experience O -100
a O -100
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one O -100
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. O -100
You O -100
can O -100
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eating O -100
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hours O -100
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you O -100
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, O -100
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they O -100
just O -100
keep O -100
on O -100
refilling O -100
your O -100
broth O -100
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items O -100
if O -100
you O -100
ask O -100
them O -100
for O -100
it O -100
. O -100
They O -100
don O -100
' O -100
t O -100
exactly O -100
offer O -100
to O -100
bring O -100
you O -100
things O -100
without O -100
you O -100
asking O -100
, O -100
but O -100
they B-ASP -100
were O -100
not O -100
the O -100
least O -100
bit O -100
rude O -100
about O -100
giving O -100
us O -100
another O -100
check O -100
off O -100
sheet O -100
. O -100
We O -100
had O -100
the O -100
chef O -100
' O -100
s O -100
special B-ASP -100
broth I-ASP -100
and O -100
it O -100
was O -100
extremely O -100
bland O -100
, O -100
but O -100
the O -100
dipping B-ASP -100
sauce I-ASP -100
( O -100
satay O -100
and O -100
soy O -100
based O -100
) O -100
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too O -100
bad O -100
. O -100
I O -100
would O -100
try O -100
a O -100
different O -100
broth O -100
with O -100
a O -100
little O -100
more O -100
flavor O -100
next O -100
time O -100
. O -100
We O -100
had O -100
a O -100
ton O -100
of O -100
stuff O -100
, O -100
but O -100
our O -100
favorites B-ASP -100
were O -100
the O -100
kobe O -100
beef O -100
, O -100
the O -100
scallion O -100
dumplings O -100
, O -100
the O -100
taro O -100
root O -100
, O -100
the O -100
salmon O -100
, O -100
and O -100
the O -100
absolutely O -100
delicious O -100
crab O -100
legs O -100
we O -100
got O -100
two O -100
orders O -100
! O -100
! O -100
Really O -100
you O -100
can O -100
' O -100
t O -100
go O -100
wrong O -100
here O -100
unless O -100
you O -100
are O -100
bothered O -100
by O -100
the O -100
slightly O -100
fishy O -100
smell O -100
when O -100
you O -100
first O -100
walk O -100
in O -100
. O -100
But O -100
you O -100
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used O -100
to O -100
it O -100
! O -100
For O -100
$ B-ASP -100
20 I-ASP -100
. O -100
00 O -100
this O -100
is O -100
about O -100
the O -100
best O -100
deal B-ASP Positive
in O -100
China O -100
Town O -100
. O -100

Great O -100
atmosphere B-ASP Positive
and O -100
packaging O -100
. O -100
. O -100
. O -100
but O -100
the O -100
cupcake B-ASP -100
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really O -100
bad O -100
and O -100
the O -100
frosting B-ASP -100
even O -100
worse O -100
! O -100
I O -100
was O -100
very O -100
excited O -100
to O -100
try O -100
Sweet O -100
after O -100
it O -100
opened O -100
and O -100
the O -100
very O -100
cute O -100
atmosphere O -100
gave O -100
me O -100
hope O -100
that O -100
I O -100
would O -100
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in O -100
for O -100
a O -100
treat O -100
. O -100
I O -100
got O -100
my O -100
cupcakes O -100
to O -100
go O -100
and O -100
I O -100
was O -100
immediately O -100
enamored O -100
with O -100
the O -100
boxes O -100
and O -100
packaging O -100
. O -100
However O -100
when O -100
i O -100
got O -100
home O -100
and O -100
actually O -100
tried O -100
the O -100
cupcakes B-ASP -100
I O -100
was O -100
sorely O -100
disappointed O -100
. O -100
The O -100
cake O -100
was O -100
dry O -100
really O -100
, O -100
really O -100
dry O -100
. O -100
Stuck O -100
in O -100
my O -100
throat O -100
and O -100
felt O -100
like O -100
sandpaper O -100
dry O -100
. O -100
The O -100
frosting B-ASP -100
, O -100
by O -100
contrast O -100
was O -100
sweet O -100
really O -100
, O -100
really O -100
sweet O -100
. O -100
Cloyingly O -100
sweet O -100
really O -100
quite O -100
unpleasant O -100
. O -100
I O -100
ended O -100
up O -100
throwing O -100
1 O -100
/ O -100
2 O -100
of O -100
each O -100
away O -100
it O -100
was O -100
really O -100
that O -100
bad O -100
. O -100
I O -100
think O -100
they O -100
have O -100
a O -100
great O -100
concept O -100
that O -100
is O -100
very O -100
on O -100
trend O -100
, O -100
great O -100
packaging O -100
and O -100
store O -100
design O -100
, O -100
a O -100
great O -100
location O -100
and O -100
a O -100
customer O -100
base O -100
who O -100
will O -100
pay O -100
through O -100
the O -100
nose O -100
for O -100
a O -100
cupcake O -100
but O -100
honestly O -100
. O -100
. O -100
. O -100
it O -100
isn O -100
' O -100
t O -100
all O -100
about O -100
marketing O -100
! O -100
You O -100
have O -100
to O -100
have O -100
cupcakes O -100
that O -100
actually O -100
taste O -100
good O -100
. O -100
. O -100
. O -100
or O -100
at O -100
least O -100
are O -100
not O -100
objectionably O -100
bad O -100
! O -100
I O -100
am O -100
not O -100
sure O -100
how O -100
they O -100
are O -100
going O -100
to O -100
make O -100
it O -100
. O -100
. O -100
. O -100
I O -100
hope O -100
for O -100
their O -100
sake O -100
they O -100
figure O -100
out O -100
how O -100
to O -100
actually O -100
make O -100
a O -100
product O -100
that O -100
people O -100
will O -100
enjoy O -100
eating O -100
! O -100

Great O -100
atmosphere B-ASP -100
and O -100
packaging O -100
. O -100
. O -100
. O -100
but O -100
the O -100
cupcake B-ASP Negative
tasted O -100
really O -100
bad O -100
and O -100
the O -100
frosting B-ASP -100
even O -100
worse O -100
! O -100
I O -100
was O -100
very O -100
excited O -100
to O -100
try O -100
Sweet O -100
after O -100
it O -100
opened O -100
and O -100
the O -100
very O -100
cute O -100
atmosphere O -100
gave O -100
me O -100
hope O -100
that O -100
I O -100
would O -100
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in O -100
for O -100
a O -100
treat O -100
. O -100
I O -100
got O -100
my O -100
cupcakes O -100
to O -100
go O -100
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I O -100
was O -100
immediately O -100
enamored O -100
with O -100
the O -100
boxes O -100
and O -100
packaging O -100
. O -100
However O -100
when O -100
i O -100
got O -100
home O -100
and O -100
actually O -100
tried O -100
the O -100
cupcakes B-ASP -100
I O -100
was O -100
sorely O -100
disappointed O -100
. O -100
The O -100
cake O -100
was O -100
dry O -100
really O -100
, O -100
really O -100
dry O -100
. O -100
Stuck O -100
in O -100
my O -100
throat O -100
and O -100
felt O -100
like O -100
sandpaper O -100
dry O -100
. O -100
The O -100
frosting B-ASP -100
, O -100
by O -100
contrast O -100
was O -100
sweet O -100
really O -100
, O -100
really O -100
sweet O -100
. O -100
Cloyingly O -100
sweet O -100
really O -100
quite O -100
unpleasant O -100
. O -100
I O -100
ended O -100
up O -100
throwing O -100
1 O -100
/ O -100
2 O -100
of O -100
each O -100
away O -100
it O -100
was O -100
really O -100
that O -100
bad O -100
. O -100
I O -100
think O -100
they O -100
have O -100
a O -100
great O -100
concept O -100
that O -100
is O -100
very O -100
on O -100
trend O -100
, O -100
great O -100
packaging O -100
and O -100
store O -100
design O -100
, O -100
a O -100
great O -100
location O -100
and O -100
a O -100
customer O -100
base O -100
who O -100
will O -100
pay O -100
through O -100
the O -100
nose O -100
for O -100
a O -100
cupcake O -100
but O -100
honestly O -100
. O -100
. O -100
. O -100
it O -100
isn O -100
' O -100
t O -100
all O -100
about O -100
marketing O -100
! O -100
You O -100
have O -100
to O -100
have O -100
cupcakes O -100
that O -100
actually O -100
taste O -100
good O -100
. O -100
. O -100
. O -100
or O -100
at O -100
least O -100
are O -100
not O -100
objectionably O -100
bad O -100
! O -100
I O -100
am O -100
not O -100
sure O -100
how O -100
they O -100
are O -100
going O -100
to O -100
make O -100
it O -100
. O -100
. O -100
. O -100
I O -100
hope O -100
for O -100
their O -100
sake O -100
they O -100
figure O -100
out O -100
how O -100
to O -100
actually O -100
make O -100
a O -100
product O -100
that O -100
people O -100
will O -100
enjoy O -100
eating O -100
! O -100

Great O -100
atmosphere B-ASP -100
and O -100
packaging O -100
. O -100
. O -100
. O -100
but O -100
the O -100
cupcake B-ASP -100
tasted O -100
really O -100
bad O -100
and O -100
the O -100
frosting B-ASP Negative
even O -100
worse O -100
! O -100
I O -100
was O -100
very O -100
excited O -100
to O -100
try O -100
Sweet O -100
after O -100
it O -100
opened O -100
and O -100
the O -100
very O -100
cute O -100
atmosphere O -100
gave O -100
me O -100
hope O -100
that O -100
I O -100
would O -100
be O -100
in O -100
for O -100
a O -100
treat O -100
. O -100
I O -100
got O -100
my O -100
cupcakes O -100
to O -100
go O -100
and O -100
I O -100
was O -100
immediately O -100
enamored O -100
with O -100
the O -100
boxes O -100
and O -100
packaging O -100
. O -100
However O -100
when O -100
i O -100
got O -100
home O -100
and O -100
actually O -100
tried O -100
the O -100
cupcakes B-ASP -100
I O -100
was O -100
sorely O -100
disappointed O -100
. O -100
The O -100
cake O -100
was O -100
dry O -100
really O -100
, O -100
really O -100
dry O -100
. O -100
Stuck O -100
in O -100
my O -100
throat O -100
and O -100
felt O -100
like O -100
sandpaper O -100
dry O -100
. O -100
The O -100
frosting B-ASP -100
, O -100
by O -100
contrast O -100
was O -100
sweet O -100
really O -100
, O -100
really O -100
sweet O -100
. O -100
Cloyingly O -100
sweet O -100
really O -100
quite O -100
unpleasant O -100
. O -100
I O -100
ended O -100
up O -100
throwing O -100
1 O -100
/ O -100
2 O -100
of O -100
each O -100
away O -100
it O -100
was O -100
really O -100
that O -100
bad O -100
. O -100
I O -100
think O -100
they O -100
have O -100
a O -100
great O -100
concept O -100
that O -100
is O -100
very O -100
on O -100
trend O -100
, O -100
great O -100
packaging O -100
and O -100
store O -100
design O -100
, O -100
a O -100
great O -100
location O -100
and O -100
a O -100
customer O -100
base O -100
who O -100
will O -100
pay O -100
through O -100
the O -100
nose O -100
for O -100
a O -100
cupcake O -100
but O -100
honestly O -100
. O -100
. O -100
. O -100
it O -100
isn O -100
' O -100
t O -100
all O -100
about O -100
marketing O -100
! O -100
You O -100
have O -100
to O -100
have O -100
cupcakes O -100
that O -100
actually O -100
taste O -100
good O -100
. O -100
. O -100
. O -100
or O -100
at O -100
least O -100
are O -100
not O -100
objectionably O -100
bad O -100
! O -100
I O -100
am O -100
not O -100
sure O -100
how O -100
they O -100
are O -100
going O -100
to O -100
make O -100
it O -100
. O -100
. O -100
. O -100
I O -100
hope O -100
for O -100
their O -100
sake O -100
they O -100
figure O -100
out O -100
how O -100
to O -100
actually O -100
make O -100
a O -100
product O -100
that O -100
people O -100
will O -100
enjoy O -100
eating O -100
! O -100

Great O -100
atmosphere B-ASP -100
and O -100
packaging O -100
. O -100
. O -100
. O -100
but O -100
the O -100
cupcake B-ASP -100
tasted O -100
really O -100
bad O -100
and O -100
the O -100
frosting B-ASP -100
even O -100
worse O -100
! O -100
I O -100
was O -100
very O -100
excited O -100
to O -100
try O -100
Sweet O -100
after O -100
it O -100
opened O -100
and O -100
the O -100
very O -100
cute O -100
atmosphere O -100
gave O -100
me O -100
hope O -100
that O -100
I O -100
would O -100
be O -100
in O -100
for O -100
a O -100
treat O -100
. O -100
I O -100
got O -100
my O -100
cupcakes O -100
to O -100
go O -100
and O -100
I O -100
was O -100
immediately O -100
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with O -100
the O -100
boxes O -100
and O -100
packaging O -100
. O -100
However O -100
when O -100
i O -100
got O -100
home O -100
and O -100
actually O -100
tried O -100
the O -100
cupcakes B-ASP Negative
I O -100
was O -100
sorely O -100
disappointed O -100
. O -100
The O -100
cake O -100
was O -100
dry O -100
really O -100
, O -100
really O -100
dry O -100
. O -100
Stuck O -100
in O -100
my O -100
throat O -100
and O -100
felt O -100
like O -100
sandpaper O -100
dry O -100
. O -100
The O -100
frosting B-ASP -100
, O -100
by O -100
contrast O -100
was O -100
sweet O -100
really O -100
, O -100
really O -100
sweet O -100
. O -100
Cloyingly O -100
sweet O -100
really O -100
quite O -100
unpleasant O -100
. O -100
I O -100
ended O -100
up O -100
throwing O -100
1 O -100
/ O -100
2 O -100
of O -100
each O -100
away O -100
it O -100
was O -100
really O -100
that O -100
bad O -100
. O -100
I O -100
think O -100
they O -100
have O -100
a O -100
great O -100
concept O -100
that O -100
is O -100
very O -100
on O -100
trend O -100
, O -100
great O -100
packaging O -100
and O -100
store O -100
design O -100
, O -100
a O -100
great O -100
location O -100
and O -100
a O -100
customer O -100
base O -100
who O -100
will O -100
pay O -100
through O -100
the O -100
nose O -100
for O -100
a O -100
cupcake O -100
but O -100
honestly O -100
. O -100
. O -100
. O -100
it O -100
isn O -100
' O -100
t O -100
all O -100
about O -100
marketing O -100
! O -100
You O -100
have O -100
to O -100
have O -100
cupcakes O -100
that O -100
actually O -100
taste O -100
good O -100
. O -100
. O -100
. O -100
or O -100
at O -100
least O -100
are O -100
not O -100
objectionably O -100
bad O -100
! O -100
I O -100
am O -100
not O -100
sure O -100
how O -100
they O -100
are O -100
going O -100
to O -100
make O -100
it O -100
. O -100
. O -100
. O -100
I O -100
hope O -100
for O -100
their O -100
sake O -100
they O -100
figure O -100
out O -100
how O -100
to O -100
actually O -100
make O -100
a O -100
product O -100
that O -100
people O -100
will O -100
enjoy O -100
eating O -100
! O -100

Great O -100
atmosphere B-ASP -100
and O -100
packaging O -100
. O -100
. O -100
. O -100
but O -100
the O -100
cupcake B-ASP -100
tasted O -100
really O -100
bad O -100
and O -100
the O -100
frosting B-ASP -100
even O -100
worse O -100
! O -100
I O -100
was O -100
very O -100
excited O -100
to O -100
try O -100
Sweet O -100
after O -100
it O -100
opened O -100
and O -100
the O -100
very O -100
cute O -100
atmosphere O -100
gave O -100
me O -100
hope O -100
that O -100
I O -100
would O -100
be O -100
in O -100
for O -100
a O -100
treat O -100
. O -100
I O -100
got O -100
my O -100
cupcakes O -100
to O -100
go O -100
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I O -100
was O -100
immediately O -100
enamored O -100
with O -100
the O -100
boxes O -100
and O -100
packaging O -100
. O -100
However O -100
when O -100
i O -100
got O -100
home O -100
and O -100
actually O -100
tried O -100
the O -100
cupcakes B-ASP -100
I O -100
was O -100
sorely O -100
disappointed O -100
. O -100
The O -100
cake O -100
was O -100
dry O -100
really O -100
, O -100
really O -100
dry O -100
. O -100
Stuck O -100
in O -100
my O -100
throat O -100
and O -100
felt O -100
like O -100
sandpaper O -100
dry O -100
. O -100
The O -100
frosting B-ASP Negative
, O -100
by O -100
contrast O -100
was O -100
sweet O -100
really O -100
, O -100
really O -100
sweet O -100
. O -100
Cloyingly O -100
sweet O -100
really O -100
quite O -100
unpleasant O -100
. O -100
I O -100
ended O -100
up O -100
throwing O -100
1 O -100
/ O -100
2 O -100
of O -100
each O -100
away O -100
it O -100
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really O -100
that O -100
bad O -100
. O -100
I O -100
think O -100
they O -100
have O -100
a O -100
great O -100
concept O -100
that O -100
is O -100
very O -100
on O -100
trend O -100
, O -100
great O -100
packaging O -100
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store O -100
design O -100
, O -100
a O -100
great O -100
location O -100
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a O -100
customer O -100
base O -100
who O -100
will O -100
pay O -100
through O -100
the O -100
nose O -100
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a O -100
cupcake O -100
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honestly O -100
. O -100
. O -100
. O -100
it O -100
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' O -100
t O -100
all O -100
about O -100
marketing O -100
! O -100
You O -100
have O -100
to O -100
have O -100
cupcakes O -100
that O -100
actually O -100
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good O -100
. O -100
. O -100
. O -100
or O -100
at O -100
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bad O -100
! O -100
I O -100
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sure O -100
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going O -100
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. O -100
. O -100
. O -100
I O -100
hope O -100
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their O -100
sake O -100
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figure O -100
out O -100
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to O -100
actually O -100
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a O -100
product O -100
that O -100
people O -100
will O -100
enjoy O -100
eating O -100
! O -100

Visiting O -100
Atlanta O -100
for O -100
a O -100
conference O -100
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I O -100
needed O -100
a O -100
bit O -100
of O -100
respite O -100
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I O -100
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my O -100
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food O -100
, O -100
pho O -100
. O -100
I O -100
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happy O -100
to O -100
find O -100
this O -100
place O -100
less O -100
than O -100
a O -100
mile O -100
from O -100
the O -100
GWCC O -100
. O -100
I O -100
ordered O -100
the O -100
house O -100
pho O -100
, O -100
took O -100
my O -100
number O -100
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headed O -100
downstairs O -100
. O -100
Set O -100
in O -100
five O -100
points O -100
, O -100
this O -100
place O -100
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they O -100
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seating O -100
. O -100
The O -100
pho O -100
was O -100
delivered O -100
shortly O -100
after O -100
i O -100
found O -100
a O -100
seat O -100
. O -100
The O -100
broth B-ASP Negative
at O -100
first O -100
taste O -100
is O -100
a O -100
bit O -100
sweet O -100
and O -100
doesn O -100
' O -100
t O -100
exactly O -100
have O -100
a O -100
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, O -100
pho O -100
taste O -100
. O -100
I O -100
will O -100
say O -100
that O -100
once O -100
lime O -100
, O -100
basil O -100
, O -100
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a O -100
bit O -100
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chili O -100
oil O -100
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added O -100
, O -100
the O -100
flavor B-ASP -100
developed O -100
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savory O -100
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The O -100
flank O -100
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well O -100
done O -100
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it O -100
got O -100
to O -100
the O -100
table O -100
. O -100
I O -100
would O -100
suggest O -100
meatball O -100
or O -100
the O -100
brisket O -100
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the O -100
flank O -100
. O -100
While O -100
this O -100
was O -100
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my O -100
favorite O -100
pho O -100
, O -100
it O -100
still O -100
hit O -100
the O -100
spot O -100
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a O -100
nice O -100
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from O -100
the O -100
hustle O -100
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bustle O -100
of O -100
attending O -100
a O -100
conference O -100
. O -100

Visiting O -100
Atlanta O -100
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a O -100
conference O -100
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I O -100
needed O -100
a O -100
bit O -100
of O -100
respite O -100
so O -100
I O -100
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my O -100
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, O -100
pho O -100
. O -100
I O -100
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place O -100
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than O -100
a O -100
mile O -100
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the O -100
GWCC O -100
. O -100
I O -100
ordered O -100
the O -100
house O -100
pho O -100
, O -100
took O -100
my O -100
number O -100
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headed O -100
downstairs O -100
. O -100
Set O -100
in O -100
five O -100
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, O -100
this O -100
place O -100
is O -100
busy O -100
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they O -100
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seating O -100
. O -100
The O -100
pho O -100
was O -100
delivered O -100
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i O -100
found O -100
a O -100
seat O -100
. O -100
The O -100
broth B-ASP -100
at O -100
first O -100
taste O -100
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a O -100
bit O -100
sweet O -100
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doesn O -100
' O -100
t O -100
exactly O -100
have O -100
a O -100
beefy O -100
, O -100
pho O -100
taste O -100
. O -100
I O -100
will O -100
say O -100
that O -100
once O -100
lime O -100
, O -100
basil O -100
, O -100
and O -100
a O -100
bit O -100
of O -100
chili O -100
oil O -100
were O -100
added O -100
, O -100
the O -100
flavor B-ASP Neutral
developed O -100
and O -100
became O -100
more O -100
savory O -100
. O -100
The O -100
flank O -100
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well O -100
done O -100
when O -100
it O -100
got O -100
to O -100
the O -100
table O -100
. O -100
I O -100
would O -100
suggest O -100
meatball O -100
or O -100
the O -100
brisket O -100
before O -100
the O -100
flank O -100
. O -100
While O -100
this O -100
was O -100
not O -100
my O -100
favorite O -100
pho O -100
, O -100
it O -100
still O -100
hit O -100
the O -100
spot O -100
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provided O -100
a O -100
nice O -100
getaway O -100
from O -100
the O -100
hustle O -100
and O -100
bustle O -100
of O -100
attending O -100
a O -100
conference O -100
. O -100

I O -100
found O -100
this O -100
Thai O -100
restaurant O -100
at O -100
yelp O -100
! O -100
Small O -100
, O -100
cozy O -100
restaurant B-ASP Positive
. O -100
Service B-ASP -100
was O -100
good O -100
. O -100
Food B-ASP -100
was O -100
excellent O -100
! O -100
! O -100
Will O -100
visit O -100
again O -100
. O -100

I O -100
found O -100
this O -100
Thai O -100
restaurant O -100
at O -100
yelp O -100
! O -100
Small O -100
, O -100
cozy O -100
restaurant B-ASP -100
. O -100
Service B-ASP Positive
was O -100
good O -100
. O -100
Food B-ASP -100
was O -100
excellent O -100
! O -100
! O -100
Will O -100
visit O -100
again O -100
. O -100

I O -100
found O -100
this O -100
Thai O -100
restaurant O -100
at O -100
yelp O -100
! O -100
Small O -100
, O -100
cozy O -100
restaurant B-ASP -100
. O -100
Service B-ASP -100
was O -100
good O -100
. O -100
Food B-ASP Positive
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excellent O -100
! O -100
! O -100
Will O -100
visit O -100
again O -100
. O -100

Blood O -100
Orange O -100
Creamsicle O -100
you O -100
guys O -100
! O -100
Do O -100
I O -100
need O -100
to O -100
say O -100
anything O -100
else O -100
? O -100
My O -100
husband O -100
and O -100
I O -100
tried O -100
this O -100
place O -100
on O -100
a O -100
whim O -100
, O -100
we O -100
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devout O -100
Salt O -100
& O -100
Straw O -100
lovers O -100
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we O -100
were O -100
in O -100
the O -100
area O -100
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were O -100
feeling O -100
adventurous O -100
. O -100
We O -100
sampled O -100
a O -100
few O -100
flavors O -100
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I O -100
immediately O -100
settled O -100
on O -100
the O -100
blood O -100
orange O -100
creamsicle O -100
, O -100
it O -100
was O -100
a O -100
little O -100
tart O -100
with O -100
all O -100
the O -100
creamy O -100
dreamy O -100
goodness O -100
you O -100
want O -100
in O -100
a O -100
creamsicle O -100
. O -100
My O -100
husband O -100
got O -100
a O -100
hot O -100
fudge O -100
sundae O -100
. O -100
The O -100
sundae O -100
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a O -100
little O -100
unorthodox O -100
, O -100
chock O -100
full O -100
of O -100
crunchy O -100
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dark O -100
cocoa O -100
nibs O -100
, O -100
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he O -100
seemed O -100
to O -100
enjoy O -100
it O -100
. O -100
A O -100
couple O -100
weeks O -100
later O -100
my O -100
friends O -100
were O -100
visiting O -100
and O -100
I O -100
knew O -100
one O -100
of O -100
them O -100
would O -100
just O -100
die O -100
for O -100
the O -100
blood O -100
orange O -100
creamsicle O -100
. O -100
We O -100
happened O -100
to O -100
find O -100
ourselves O -100
in O -100
the O -100
neighborhood O -100
so O -100
we O -100
stopped O -100
. O -100
3 O -100
scoops O -100
of O -100
creamsicle O -100
later O -100
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we O -100
were O -100
all O -100
happy O -100
campers O -100
. O -100
Pro O -100
tip O -100
they O -100
also O -100
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a O -100
mini O -100
scoop O -100
, O -100
in O -100
case O -100
you O -100
want O -100
to O -100
indulge O -100
, O -100
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not O -100
too O -100
much O -100
! O -100
The O -100
point O -100
? O -100
Order O -100
the O -100
blood B-ASP Positive
orange I-ASP Positive
creamsicle O -100
you O -100
guys O -100
! O -100

Excellent O -100
subs B-ASP Positive
at O -100
a O -100
reasonable O -100
price B-ASP -100
. O -100
A O -100
huge O -100
variety O -100
too O -100
for O -100
those O -100
picky O -100
eaters O -100
that O -100
can O -100
' O -100
t O -100
decide O -100
on O -100
what O -100
to O -100
settle O -100
for O -100
. O -100
Come O -100
with O -100
an O -100
empty O -100
stomach O -100
and O -100
enjoy O -100
a O -100
great O -100
turkey B-ASP -100
and O -100
ranch O -100
or O -100
one O -100
of O -100
their O -100
other O -100
100 O -100
subs O -100
! O -100

Excellent O -100
subs B-ASP -100
at O -100
a O -100
reasonable O -100
price B-ASP Neutral
. O -100
A O -100
huge O -100
variety O -100
too O -100
for O -100
those O -100
picky O -100
eaters O -100
that O -100
can O -100
' O -100
t O -100
decide O -100
on O -100
what O -100
to O -100
settle O -100
for O -100
. O -100
Come O -100
with O -100
an O -100
empty O -100
stomach O -100
and O -100
enjoy O -100
a O -100
great O -100
turkey B-ASP -100
and O -100
ranch O -100
or O -100
one O -100
of O -100
their O -100
other O -100
100 O -100
subs O -100
! O -100

Excellent O -100
subs B-ASP -100
at O -100
a O -100
reasonable O -100
price B-ASP -100
. O -100
A O -100
huge O -100
variety O -100
too O -100
for O -100
those O -100
picky O -100
eaters O -100
that O -100
can O -100
' O -100
t O -100
decide O -100
on O -100
what O -100
to O -100
settle O -100
for O -100
. O -100
Come O -100
with O -100
an O -100
empty O -100
stomach O -100
and O -100
enjoy O -100
a O -100
great O -100
turkey B-ASP Positive
and O -100
ranch O -100
or O -100
one O -100
of O -100
their O -100
other O -100
100 O -100
subs O -100
! O -100

Amazing O -100
. O -100
Tasty O -100
food B-ASP Positive
, O -100
good O -100
waiter O -100
recommendations B-ASP -100
, O -100
good O -100
service B-ASP -100
, O -100
fair O -100
prices B-ASP -100
. O -100
If O -100
you O -100
' O -100
re O -100
in O -100
JP O -100
and O -100
craving O -100
Indian O -100
come O -100
here O -100
. O -100
Or O -100
if O -100
you O -100
' O -100
re O -100
in O -100
Brookline O -100
, O -100
Cambridge O -100
, O -100
Somerville O -100
. O -100
. O -100
. O -100
jump O -100
on O -100
the O -100
39 O -100
and O -100
get O -100
over O -100
here O -100
. O -100
Get O -100
the O -100
chicken O -100
curry O -100
. O -100
Another O -100
recommendation O -100
is O -100
the O -100
duck B-ASP -100
on O -100
the O -100
chef O -100
' O -100
s O -100
special O -100
list O -100
. O -100

Amazing O -100
. O -100
Tasty O -100
food B-ASP -100
, O -100
good O -100
waiter O -100
recommendations B-ASP Positive
, O -100
good O -100
service B-ASP -100
, O -100
fair O -100
prices B-ASP -100
. O -100
If O -100
you O -100
' O -100
re O -100
in O -100
JP O -100
and O -100
craving O -100
Indian O -100
come O -100
here O -100
. O -100
Or O -100
if O -100
you O -100
' O -100
re O -100
in O -100
Brookline O -100
, O -100
Cambridge O -100
, O -100
Somerville O -100
. O -100
. O -100
. O -100
jump O -100
on O -100
the O -100
39 O -100
and O -100
get O -100
over O -100
here O -100
. O -100
Get O -100
the O -100
chicken O -100
curry O -100
. O -100
Another O -100
recommendation O -100
is O -100
the O -100
duck B-ASP -100
on O -100
the O -100
chef O -100
' O -100
s O -100
special O -100
list O -100
. O -100

Amazing O -100
. O -100
Tasty O -100
food B-ASP -100
, O -100
good O -100
waiter O -100
recommendations B-ASP -100
, O -100
good O -100
service B-ASP Positive
, O -100
fair O -100
prices B-ASP -100
. O -100
If O -100
you O -100
' O -100
re O -100
in O -100
JP O -100
and O -100
craving O -100
Indian O -100
come O -100
here O -100
. O -100
Or O -100
if O -100
you O -100
' O -100
re O -100
in O -100
Brookline O -100
, O -100
Cambridge O -100
, O -100
Somerville O -100
. O -100
. O -100
. O -100
jump O -100
on O -100
the O -100
39 O -100
and O -100
get O -100
over O -100
here O -100
. O -100
Get O -100
the O -100
chicken O -100
curry O -100
. O -100
Another O -100
recommendation O -100
is O -100
the O -100
duck B-ASP -100
on O -100
the O -100
chef O -100
' O -100
s O -100
special O -100
list O -100
. O -100

Amazing O -100
. O -100
Tasty O -100
food B-ASP -100
, O -100
good O -100
waiter O -100
recommendations B-ASP -100
, O -100
good O -100
service B-ASP -100
, O -100
fair O -100
prices B-ASP Neutral
. O -100
If O -100
you O -100
' O -100
re O -100
in O -100
JP O -100
and O -100
craving O -100
Indian O -100
come O -100
here O -100
. O -100
Or O -100
if O -100
you O -100
' O -100
re O -100
in O -100
Brookline O -100
, O -100
Cambridge O -100
, O -100
Somerville O -100
. O -100
. O -100
. O -100
jump O -100
on O -100
the O -100
39 O -100
and O -100
get O -100
over O -100
here O -100
. O -100
Get O -100
the O -100
chicken O -100
curry O -100
. O -100
Another O -100
recommendation O -100
is O -100
the O -100
duck B-ASP -100
on O -100
the O -100
chef O -100
' O -100
s O -100
special O -100
list O -100
. O -100

Amazing O -100
. O -100
Tasty O -100
food B-ASP -100
, O -100
good O -100
waiter O -100
recommendations B-ASP -100
, O -100
good O -100
service B-ASP -100
, O -100
fair O -100
prices B-ASP -100
. O -100
If O -100
you O -100
' O -100
re O -100
in O -100
JP O -100
and O -100
craving O -100
Indian O -100
come O -100
here O -100
. O -100
Or O -100
if O -100
you O -100
' O -100
re O -100
in O -100
Brookline O -100
, O -100
Cambridge O -100
, O -100
Somerville O -100
. O -100
. O -100
. O -100
jump O -100
on O -100
the O -100
39 O -100
and O -100
get O -100
over O -100
here O -100
. O -100
Get O -100
the O -100
chicken O -100
curry O -100
. O -100
Another O -100
recommendation O -100
is O -100
the O -100
duck B-ASP Positive
on O -100
the O -100
chef O -100
' O -100
s O -100
special O -100
list O -100
. O -100

The O -100
food B-ASP Positive
has O -100
always O -100
been O -100
good O -100
, O -100
always O -100
. O -100
The O -100
service B-ASP -100
on O -100
he O -100
other O -100
hand O -100
has O -100
always O -100
always O -100
been O -100
bad O -100
. O -100
The O -100
waiters B-ASP -100
always O -100
leave O -100
you O -100
hanging O -100
, O -100
the B-ASP -100
owner I-ASP -100
is O -100
rude O -100
and O -100
, O -100
sad O -100
to O -100
say O -100
, O -100
ghetto O -100
in O -100
front O -100
of O -100
customers O -100
. O -100
Again O -100
, O -100
the O -100
food O -100
is O -100
spot O -100
on O -100
but O -100
the O -100
service B-ASP -100
is O -100
horrible O -100
. O -100
I O -100
have O -100
been O -100
coming O -100
here O -100
for O -100
years O -100
and O -100
it O -100
never O -100
changes O -100
. O -100
We O -100
are O -100
here O -100
today O -100
, O -100
the O -100
first O -100
time O -100
in O -100
a O -100
couple O -100
months O -100
and O -100
they O -100
have O -100
renovated O -100
. O -100
They O -100
have O -100
expanded O -100
into O -100
the O -100
unit O -100
next O -100
door O -100
. O -100
Good O -100
renovation O -100
, O -100
bigger O -100
space O -100
, O -100
better O -100
decor O -100
. O -100
Still O -100
a O -100
ways O -100
to O -100
go O -100
before O -100
it O -100
is O -100
finished O -100
but O -100
good O -100
. O -100
Wish O -100
the O -100
service B-ASP -100
was O -100
better O -100
, O -100
unfortunately O -100
I O -100
doubt O -100
I O -100
will O -100
return O -100
. O -100
I O -100
think O -100
today O -100
was O -100
it O -100
. O -100

The O -100
food B-ASP -100
has O -100
always O -100
been O -100
good O -100
, O -100
always O -100
. O -100
The O -100
service B-ASP Negative
on O -100
he O -100
other O -100
hand O -100
has O -100
always O -100
always O -100
been O -100
bad O -100
. O -100
The O -100
waiters B-ASP -100
always O -100
leave O -100
you O -100
hanging O -100
, O -100
the B-ASP -100
owner I-ASP -100
is O -100
rude O -100
and O -100
, O -100
sad O -100
to O -100
say O -100
, O -100
ghetto O -100
in O -100
front O -100
of O -100
customers O -100
. O -100
Again O -100
, O -100
the O -100
food O -100
is O -100
spot O -100
on O -100
but O -100
the O -100
service B-ASP -100
is O -100
horrible O -100
. O -100
I O -100
have O -100
been O -100
coming O -100
here O -100
for O -100
years O -100
and O -100
it O -100
never O -100
changes O -100
. O -100
We O -100
are O -100
here O -100
today O -100
, O -100
the O -100
first O -100
time O -100
in O -100
a O -100
couple O -100
months O -100
and O -100
they O -100
have O -100
renovated O -100
. O -100
They O -100
have O -100
expanded O -100
into O -100
the O -100
unit O -100
next O -100
door O -100
. O -100
Good O -100
renovation O -100
, O -100
bigger O -100
space O -100
, O -100
better O -100
decor O -100
. O -100
Still O -100
a O -100
ways O -100
to O -100
go O -100
before O -100
it O -100
is O -100
finished O -100
but O -100
good O -100
. O -100
Wish O -100
the O -100
service B-ASP -100
was O -100
better O -100
, O -100
unfortunately O -100
I O -100
doubt O -100
I O -100
will O -100
return O -100
. O -100
I O -100
think O -100
today O -100
was O -100
it O -100
. O -100

The O -100
food B-ASP -100
has O -100
always O -100
been O -100
good O -100
, O -100
always O -100
. O -100
The O -100
service B-ASP -100
on O -100
he O -100
other O -100
hand O -100
has O -100
always O -100
always O -100
been O -100
bad O -100
. O -100
The O -100
waiters B-ASP Negative
always O -100
leave O -100
you O -100
hanging O -100
, O -100
the B-ASP -100
owner I-ASP -100
is O -100
rude O -100
and O -100
, O -100
sad O -100
to O -100
say O -100
, O -100
ghetto O -100
in O -100
front O -100
of O -100
customers O -100
. O -100
Again O -100
, O -100
the O -100
food O -100
is O -100
spot O -100
on O -100
but O -100
the O -100
service B-ASP -100
is O -100
horrible O -100
. O -100
I O -100
have O -100
been O -100
coming O -100
here O -100
for O -100
years O -100
and O -100
it O -100
never O -100
changes O -100
. O -100
We O -100
are O -100
here O -100
today O -100
, O -100
the O -100
first O -100
time O -100
in O -100
a O -100
couple O -100
months O -100
and O -100
they O -100
have O -100
renovated O -100
. O -100
They O -100
have O -100
expanded O -100
into O -100
the O -100
unit O -100
next O -100
door O -100
. O -100
Good O -100
renovation O -100
, O -100
bigger O -100
space O -100
, O -100
better O -100
decor O -100
. O -100
Still O -100
a O -100
ways O -100
to O -100
go O -100
before O -100
it O -100
is O -100
finished O -100
but O -100
good O -100
. O -100
Wish O -100
the O -100
service B-ASP -100
was O -100
better O -100
, O -100
unfortunately O -100
I O -100
doubt O -100
I O -100
will O -100
return O -100
. O -100
I O -100
think O -100
today O -100
was O -100
it O -100
. O -100

The O -100
food B-ASP -100
has O -100
always O -100
been O -100
good O -100
, O -100
always O -100
. O -100
The O -100
service B-ASP -100
on O -100
he O -100
other O -100
hand O -100
has O -100
always O -100
always O -100
been O -100
bad O -100
. O -100
The O -100
waiters B-ASP -100
always O -100
leave O -100
you O -100
hanging O -100
, O -100
the B-ASP Negative
owner I-ASP Negative
is O -100
rude O -100
and O -100
, O -100
sad O -100
to O -100
say O -100
, O -100
ghetto O -100
in O -100
front O -100
of O -100
customers O -100
. O -100
Again O -100
, O -100
the O -100
food O -100
is O -100
spot O -100
on O -100
but O -100
the O -100
service B-ASP -100
is O -100
horrible O -100
. O -100
I O -100
have O -100
been O -100
coming O -100
here O -100
for O -100
years O -100
and O -100
it O -100
never O -100
changes O -100
. O -100
We O -100
are O -100
here O -100
today O -100
, O -100
the O -100
first O -100
time O -100
in O -100
a O -100
couple O -100
months O -100
and O -100
they O -100
have O -100
renovated O -100
. O -100
They O -100
have O -100
expanded O -100
into O -100
the O -100
unit O -100
next O -100
door O -100
. O -100
Good O -100
renovation O -100
, O -100
bigger O -100
space O -100
, O -100
better O -100
decor O -100
. O -100
Still O -100
a O -100
ways O -100
to O -100
go O -100
before O -100
it O -100
is O -100
finished O -100
but O -100
good O -100
. O -100
Wish O -100
the O -100
service B-ASP -100
was O -100
better O -100
, O -100
unfortunately O -100
I O -100
doubt O -100
I O -100
will O -100
return O -100
. O -100
I O -100
think O -100
today O -100
was O -100
it O -100
. O -100

The O -100
food B-ASP -100
has O -100
always O -100
been O -100
good O -100
, O -100
always O -100
. O -100
The O -100
service B-ASP -100
on O -100
he O -100
other O -100
hand O -100
has O -100
always O -100
always O -100
been O -100
bad O -100
. O -100
The O -100
waiters B-ASP -100
always O -100
leave O -100
you O -100
hanging O -100
, O -100
the B-ASP -100
owner I-ASP -100
is O -100
rude O -100
and O -100
, O -100
sad O -100
to O -100
say O -100
, O -100
ghetto O -100
in O -100
front O -100
of O -100
customers O -100
. O -100
Again O -100
, O -100
the O -100
food O -100
is O -100
spot O -100
on O -100
but O -100
the O -100
service B-ASP Negative
is O -100
horrible O -100
. O -100
I O -100
have O -100
been O -100
coming O -100
here O -100
for O -100
years O -100
and O -100
it O -100
never O -100
changes O -100
. O -100
We O -100
are O -100
here O -100
today O -100
, O -100
the O -100
first O -100
time O -100
in O -100
a O -100
couple O -100
months O -100
and O -100
they O -100
have O -100
renovated O -100
. O -100
They O -100
have O -100
expanded O -100
into O -100
the O -100
unit O -100
next O -100
door O -100
. O -100
Good O -100
renovation O -100
, O -100
bigger O -100
space O -100
, O -100
better O -100
decor O -100
. O -100
Still O -100
a O -100
ways O -100
to O -100
go O -100
before O -100
it O -100
is O -100
finished O -100
but O -100
good O -100
. O -100
Wish O -100
the O -100
service B-ASP -100
was O -100
better O -100
, O -100
unfortunately O -100
I O -100
doubt O -100
I O -100
will O -100
return O -100
. O -100
I O -100
think O -100
today O -100
was O -100
it O -100
. O -100

The O -100
food B-ASP -100
has O -100
always O -100
been O -100
good O -100
, O -100
always O -100
. O -100
The O -100
service B-ASP -100
on O -100
he O -100
other O -100
hand O -100
has O -100
always O -100
always O -100
been O -100
bad O -100
. O -100
The O -100
waiters B-ASP -100
always O -100
leave O -100
you O -100
hanging O -100
, O -100
the B-ASP -100
owner I-ASP -100
is O -100
rude O -100
and O -100
, O -100
sad O -100
to O -100
say O -100
, O -100
ghetto O -100
in O -100
front O -100
of O -100
customers O -100
. O -100
Again O -100
, O -100
the O -100
food O -100
is O -100
spot O -100
on O -100
but O -100
the O -100
service B-ASP -100
is O -100
horrible O -100
. O -100
I O -100
have O -100
been O -100
coming O -100
here O -100
for O -100
years O -100
and O -100
it O -100
never O -100
changes O -100
. O -100
We O -100
are O -100
here O -100
today O -100
, O -100
the O -100
first O -100
time O -100
in O -100
a O -100
couple O -100
months O -100
and O -100
they O -100
have O -100
renovated O -100
. O -100
They O -100
have O -100
expanded O -100
into O -100
the O -100
unit O -100
next O -100
door O -100
. O -100
Good O -100
renovation O -100
, O -100
bigger O -100
space O -100
, O -100
better O -100
decor O -100
. O -100
Still O -100
a O -100
ways O -100
to O -100
go O -100
before O -100
it O -100
is O -100
finished O -100
but O -100
good O -100
. O -100
Wish O -100
the O -100
service B-ASP Negative
was O -100
better O -100
, O -100
unfortunately O -100
I O -100
doubt O -100
I O -100
will O -100
return O -100
. O -100
I O -100
think O -100
today O -100
was O -100
it O -100
. O -100

Meh O -100
. O -100
Average O -100
Thai O -100
food B-ASP Neutral
at O -100
above O -100
average O -100
prices B-ASP -100
. O -100
The O -100
menu O -100
offers O -100
nothing O -100
new O -100
or O -100
creative O -100
. O -100
Just O -100
the O -100
standard O -100
Thai O -100
fare O -100
. O -100
Prices B-ASP -100
are O -100
easily O -100
50 O -100
100 O -100
% O -100
higher O -100
than O -100
better O -100
quality O -100
food O -100
from O -100
restaurants O -100
in O -100
Woburn O -100
and O -100
Lowell O -100
. O -100
Next O -100
time O -100
I O -100
will O -100
drive O -100
an O -100
extra O -100
5 O -100
minutes O -100
. O -100

Meh O -100
. O -100
Average O -100
Thai O -100
food B-ASP -100
at O -100
above O -100
average O -100
prices B-ASP Neutral
. O -100
The O -100
menu O -100
offers O -100
nothing O -100
new O -100
or O -100
creative O -100
. O -100
Just O -100
the O -100
standard O -100
Thai O -100
fare O -100
. O -100
Prices B-ASP -100
are O -100
easily O -100
50 O -100
100 O -100
% O -100
higher O -100
than O -100
better O -100
quality O -100
food O -100
from O -100
restaurants O -100
in O -100
Woburn O -100
and O -100
Lowell O -100
. O -100
Next O -100
time O -100
I O -100
will O -100
drive O -100
an O -100
extra O -100
5 O -100
minutes O -100
. O -100

Meh O -100
. O -100
Average O -100
Thai O -100
food B-ASP -100
at O -100
above O -100
average O -100
prices B-ASP -100
. O -100
The O -100
menu O -100
offers O -100
nothing O -100
new O -100
or O -100
creative O -100
. O -100
Just O -100
the O -100
standard O -100
Thai O -100
fare O -100
. O -100
Prices B-ASP Negative
are O -100
easily O -100
50 O -100
100 O -100
% O -100
higher O -100
than O -100
better O -100
quality O -100
food O -100
from O -100
restaurants O -100
in O -100
Woburn O -100
and O -100
Lowell O -100
. O -100
Next O -100
time O -100
I O -100
will O -100
drive O -100
an O -100
extra O -100
5 O -100
minutes O -100
. O -100

If O -100
you O -100
have O -100
driven O -100
past O -100
this O -100
place O -100
several O -100
times O -100
, O -100
you O -100
have O -100
missed O -100
a O -100
great O -100
opportunity O -100
for O -100
Costa O -100
Rican O -100
food O -100
those O -100
same O -100
several O -100
times O -100
. O -100
The O -100
food B-ASP Positive
is O -100
good O -100
, O -100
fresh O -100
, O -100
and O -100
it O -100
feels O -100
homemade O -100
. O -100
Check O -100
it O -100
out O -100
, O -100
and O -100
make O -100
sure O -100
to O -100
try O -100
things O -100
that O -100
are O -100
from O -100
Costa O -100
Rica O -100
, O -100
not O -100
just O -100
your O -100
comfortable O -100
Mexican O -100
fare O -100
. O -100
Family O -100
run O -100
, O -100
small O -100
location O -100
, O -100
super O -100
tasty O -100
. O -100

First O -100
time O -100
here O -100
the O -100
staff B-ASP Positive
was O -100
wonderful O -100
and O -100
the O -100
food B-ASP -100
was O -100
very O -100
well O -100
prepared O -100
and O -100
tasty O -100
. O -100
I O -100
am O -100
very O -100
particular O -100
about O -100
Italian O -100
restaurants O -100
and O -100
this O -100
one O -100
is O -100
very O -100
good O -100
. O -100
We O -100
will O -100
be O -100
back O -100
often O -100
I O -100
am O -100
sure O -100
. O -100
The O -100
only O -100
problem O -100
I O -100
see O -100
is O -100
they O -100
might O -100
need O -100
more O -100
room O -100
very O -100
quickly O -100

First O -100
time O -100
here O -100
the O -100
staff B-ASP -100
was O -100
wonderful O -100
and O -100
the O -100
food B-ASP Positive
was O -100
very O -100
well O -100
prepared O -100
and O -100
tasty O -100
. O -100
I O -100
am O -100
very O -100
particular O -100
about O -100
Italian O -100
restaurants O -100
and O -100
this O -100
one O -100
is O -100
very O -100
good O -100
. O -100
We O -100
will O -100
be O -100
back O -100
often O -100
I O -100
am O -100
sure O -100
. O -100
The O -100
only O -100
problem O -100
I O -100
see O -100
is O -100
they O -100
might O -100
need O -100
more O -100
room O -100
very O -100
quickly O -100

The O -100
Barking O -100
Crab O -100
was O -100
a O -100
family O -100
tradition O -100
for O -100
us O -100
for O -100
years O -100
before O -100
I O -100
moved O -100
to O -100
Boston O -100
. O -100
Once O -100
a O -100
summer O -100
, O -100
when O -100
visiting O -100
our O -100
family O -100
in O -100
the O -100
city O -100
, O -100
we O -100
would O -100
go O -100
to O -100
the O -100
Barking O -100
Crab O -100
for O -100
some O -100
decent O -100
food B-ASP Positive
and O -100
wonderful O -100
atmosphere B-ASP -100
. O -100
Sadly O -100
, O -100
once O -100
I O -100
became O -100
vegetarian O -100
, O -100
the O -100
menu O -100
became O -100
extremely O -100
limited O -100
for O -100
me O -100
, O -100
which O -100
made O -100
it O -100
much O -100
less O -100
appealing O -100
. O -100
But O -100
still O -100
, O -100
many O -100
happy O -100
memories O -100
from O -100
the O -100
Barking O -100
Crab O -100
! O -100
Great O -100
family O -100
place O -100
! O -100

The O -100
Barking O -100
Crab O -100
was O -100
a O -100
family O -100
tradition O -100
for O -100
us O -100
for O -100
years O -100
before O -100
I O -100
moved O -100
to O -100
Boston O -100
. O -100
Once O -100
a O -100
summer O -100
, O -100
when O -100
visiting O -100
our O -100
family O -100
in O -100
the O -100
city O -100
, O -100
we O -100
would O -100
go O -100
to O -100
the O -100
Barking O -100
Crab O -100
for O -100
some O -100
decent O -100
food B-ASP -100
and O -100
wonderful O -100
atmosphere B-ASP Positive
. O -100
Sadly O -100
, O -100
once O -100
I O -100
became O -100
vegetarian O -100
, O -100
the O -100
menu O -100
became O -100
extremely O -100
limited O -100
for O -100
me O -100
, O -100
which O -100
made O -100
it O -100
much O -100
less O -100
appealing O -100
. O -100
But O -100
still O -100
, O -100
many O -100
happy O -100
memories O -100
from O -100
the O -100
Barking O -100
Crab O -100
! O -100
Great O -100
family O -100
place O -100
! O -100

Meatloaf B-ASP Positive
was O -100
very O -100
good O -100
. O -100
. O -100
. O -100
. O -100
I O -100
had O -100
a O -100
very O -100
good O -100
meal B-ASP -100
here O -100
. O -100
Staff B-ASP -100
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. O -100
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. O -100
Prices B-ASP -100
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. O -100
Something O -100
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breakfast O -100
all O -100
day O -100
. O -100
I O -100
' O -100
ll O -100
be O -100
back O -100
. O -100

Meatloaf B-ASP -100
was O -100
very O -100
good O -100
. O -100
. O -100
. O -100
. O -100
I O -100
had O -100
a O -100
very O -100
good O -100
meal B-ASP Positive
here O -100
. O -100
Staff B-ASP -100
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very O -100
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well O -100
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. O -100
Prices B-ASP -100
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Something O -100
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breakfast O -100
all O -100
day O -100
. O -100
I O -100
' O -100
ll O -100
be O -100
back O -100
. O -100

Meatloaf B-ASP -100
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good O -100
. O -100
. O -100
. O -100
. O -100
I O -100
had O -100
a O -100
very O -100
good O -100
meal B-ASP -100
here O -100
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Staff B-ASP Positive
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well O -100
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Place B-ASP -100
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. O -100
Prices B-ASP -100
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Something O -100
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breakfast O -100
all O -100
day O -100
. O -100
I O -100
' O -100
ll O -100
be O -100
back O -100
. O -100

Meatloaf B-ASP -100
was O -100
very O -100
good O -100
. O -100
. O -100
. O -100
. O -100
I O -100
had O -100
a O -100
very O -100
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meal B-ASP -100
here O -100
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Staff B-ASP -100
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well O -100
. O -100
Place B-ASP Positive
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Prices B-ASP -100
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Something O -100
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breakfast O -100
all O -100
day O -100
. O -100
I O -100
' O -100
ll O -100
be O -100
back O -100
. O -100

Meatloaf B-ASP -100
was O -100
very O -100
good O -100
. O -100
. O -100
. O -100
. O -100
I O -100
had O -100
a O -100
very O -100
good O -100
meal B-ASP -100
here O -100
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Staff B-ASP -100
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well O -100
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Place B-ASP -100
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relaxing O -100
. O -100
Prices B-ASP Neutral
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Something O -100
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the O -100
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day O -100
. O -100
I O -100
' O -100
ll O -100
be O -100
back O -100
. O -100

I O -100
went O -100
here O -100
this O -100
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their O -100
roast O -100
( O -100
first O -100
Saturday O -100
of O -100
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month O -100
) O -100
. O -100
The O -100
food B-ASP Positive
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. O -100
The O -100
atmosphere B-ASP -100
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great O -100
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Beers B-ASP -100
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cocktails O -100
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! O -100
The O -100
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. O -100
. O -100
. O -100
. O -100
BUT O -100
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sweet O -100
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, O -100
turnips O -100
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brussel O -100
sprouts O -100
. O -100
The O -100
meal O -100
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1 O -100
/ O -100
4 O -100
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sweet O -100
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2 O -100
1 O -100
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2 O -100
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. O -100
I O -100
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8 O -100
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I O -100
don O -100
' O -100
t O -100
think O -100
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. O -100
I O -100
' O -100
ll O -100
give O -100
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I O -100
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this O -100
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weekend O -100
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their O -100
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( O -100
first O -100
Saturday O -100
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month O -100
) O -100
. O -100
The O -100
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was O -100
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. O -100
The O -100
atmosphere B-ASP Positive
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Beers B-ASP -100
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cocktails O -100
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! O -100
The O -100
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. O -100
. O -100
. O -100
. O -100
BUT O -100
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, O -100
turnips O -100
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brussel O -100
sprouts O -100
. O -100
The O -100
meal O -100
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about O -100
a O -100
1 O -100
/ O -100
4 O -100
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sweet O -100
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2 O -100
1 O -100
/ O -100
2 O -100
brussel O -100
sprouts O -100
. O -100
I O -100
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there O -100
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8 O -100
people O -100
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I O -100
don O -100
' O -100
t O -100
think O -100
anyone O -100
left O -100
satisfied O -100
. O -100
I O -100
' O -100
ll O -100
give O -100
it O -100
another O -100
try O -100
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it O -100
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a O -100
good O -100
first O -100
impression O -100
. O -100

I O -100
went O -100
here O -100
this O -100
past O -100
weekend O -100
for O -100
their O -100
roast O -100
( O -100
first O -100
Saturday O -100
of O -100
every O -100
month O -100
) O -100
. O -100
The O -100
food B-ASP -100
was O -100
wonderful O -100
. O -100
The O -100
atmosphere B-ASP -100
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great O -100
. O -100
Beers B-ASP Positive
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cocktails O -100
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yummy O -100
! O -100
The O -100
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. O -100
. O -100
. O -100
. O -100
BUT O -100
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a O -100
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, O -100
turnips O -100
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brussel O -100
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. O -100
The O -100
meal O -100
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about O -100
a O -100
1 O -100
/ O -100
4 O -100
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sweet O -100
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2 O -100
1 O -100
/ O -100
2 O -100
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I O -100
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8 O -100
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I O -100
don O -100
' O -100
t O -100
think O -100
anyone O -100
left O -100
satisfied O -100
. O -100
I O -100
' O -100
ll O -100
give O -100
it O -100
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a O -100
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first O -100
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. O -100

I O -100
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this O -100
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their O -100
roast O -100
( O -100
first O -100
Saturday O -100
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every O -100
month O -100
) O -100
. O -100
The O -100
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. O -100
The O -100
atmosphere B-ASP -100
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great O -100
. O -100
Beers B-ASP -100
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cocktails O -100
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yummy O -100
! O -100
The O -100
menu O -100
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interesting O -100
. O -100
. O -100
. O -100
. O -100
BUT O -100
the O -100
portion B-ASP Negative
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small O -100
. O -100
It O -100
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a O -100
ham O -100
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, O -100
turnips O -100
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brussel O -100
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. O -100
The O -100
meal O -100
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about O -100
a O -100
1 O -100
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4 O -100
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sweet O -100
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2 O -100
1 O -100
/ O -100
2 O -100
brussel O -100
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I O -100
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8 O -100
people O -100
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I O -100
don O -100
' O -100
t O -100
think O -100
anyone O -100
left O -100
satisfied O -100
. O -100
I O -100
' O -100
ll O -100
give O -100
it O -100
another O -100
try O -100
but O -100
it O -100
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a O -100
good O -100
first O -100
impression O -100
. O -100

It O -100
honestly O -100
takes O -100
them O -100
forever O -100
to O -100
bring B-ASP Negative
food I-ASP Negative
after O -100
you O -100
' O -100
ve O -100
ordered O -100
it O -100
. O -100
It O -100
really O -100
doesn O -100
' O -100
t O -100
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' O -100
re O -100
busy O -100
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it O -100
matter O -100
what O -100
you O -100
order O -100
it O -100
will O -100
be O -100
a O -100
long O -100
time O -100
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they O -100
bring B-ASP -100
it O -100
. O -100
I O -100
must O -100
admit O -100
other O -100
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that O -100
it O -100
' O -100
s O -100
a O -100
cool O -100
dive O -100
bar B-ASP -100
. O -100

It O -100
honestly O -100
takes O -100
them O -100
forever O -100
to O -100
bring B-ASP -100
food I-ASP -100
after O -100
you O -100
' O -100
ve O -100
ordered O -100
it O -100
. O -100
It O -100
really O -100
doesn O -100
' O -100
t O -100
even O -100
matter O -100
if O -100
they O -100
' O -100
re O -100
busy O -100
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nor O -100
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it O -100
matter O -100
what O -100
you O -100
order O -100
it O -100
will O -100
be O -100
a O -100
long O -100
time O -100
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they O -100
bring B-ASP Negative
it O -100
. O -100
I O -100
must O -100
admit O -100
other O -100
than O -100
that O -100
it O -100
' O -100
s O -100
a O -100
cool O -100
dive O -100
bar B-ASP -100
. O -100

It O -100
honestly O -100
takes O -100
them O -100
forever O -100
to O -100
bring B-ASP -100
food I-ASP -100
after O -100
you O -100
' O -100
ve O -100
ordered O -100
it O -100
. O -100
It O -100
really O -100
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' O -100
t O -100
even O -100
matter O -100
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they O -100
' O -100
re O -100
busy O -100
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it O -100
matter O -100
what O -100
you O -100
order O -100
it O -100
will O -100
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a O -100
long O -100
time O -100
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they O -100
bring B-ASP -100
it O -100
. O -100
I O -100
must O -100
admit O -100
other O -100
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that O -100
it O -100
' O -100
s O -100
a O -100
cool O -100
dive O -100
bar B-ASP Positive
. O -100

I O -100
LOVE O -100
THE O -100
WOLF O -100
. O -100
I O -100
have O -100
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living O -100
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Salem O -100
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four O -100
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62 O -100
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the O -100
Wharf O -100
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my O -100
two O -100
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by O -100
FAR O -100
. O -100
I O -100
work O -100
in O -100
the O -100
restaurant O -100
scene O -100
in O -100
Boston O -100
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frequently O -100
dine O -100
at O -100
excellent O -100
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, O -100
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I O -100
keep O -100
coming O -100
back O -100
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the O -100
Wolf O -100
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my O -100
casual O -100
night O -100
out O -100
. O -100
Quest O -100
is O -100
MAGIC O -100
Howling O -100
Wolf O -100
Burrito O -100
why O -100
do O -100
i O -100
EVER O -100
let O -100
myself O -100
get O -100
anything O -100
else O -100
? O -100
? O -100
? O -100
( O -100
because O -100
I O -100
want O -100
to O -100
try O -100
everything O -100
, O -100
that O -100
' O -100
s O -100
why O -100
) O -100
. O -100
It O -100
' O -100
s O -100
just O -100
SO O -100
perfect O -100
. O -100
Try O -100
it O -100
. O -100
Just O -100
do O -100
it O -100
. O -100
You O -100
' O -100
ll O -100
die O -100
. O -100
I O -100
also O -100
love O -100
the O -100
chorizo O -100
papusa O -100
appetizer B-ASP Positive
. O -100
Little O -100
spice O -100
, O -100
complimented O -100
by O -100
a O -100
vinegary O -100
slaw O -100
of O -100
come O -100
sort O -100
. O -100
Fish O -100
taco O -100
is O -100
phenomenal O -100
as O -100
well O -100
. O -100
Service B-ASP -100
is O -100
fine O -100
. O -100
Bar O -100
can O -100
be O -100
understaffed O -100
at O -100
times O -100
( O -100
one O -100
on O -100
doing O -100
the O -100
whole O -100
bar O -100
plus O -100
service B-ASP -100
) O -100
which O -100
creates O -100
a O -100
slower O -100
than O -100
desired O -100
experience B-ASP -100
. O -100
After O -100
I O -100
finally O -100
move O -100
out O -100
of O -100
Salem O -100
into O -100
Boston O -100
, O -100
I O -100
will O -100
be O -100
at O -100
the O -100
Wolf O -100
whenever O -100
I O -100
come O -100
up O -100
here O -100
to O -100
visit O -100
friends O -100
. O -100

I O -100
LOVE O -100
THE O -100
WOLF O -100
. O -100
I O -100
have O -100
been O -100
living O -100
in O -100
Salem O -100
for O -100
four O -100
years O -100
and O -100
this O -100
place O -100
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62 O -100
on O -100
the O -100
Wharf O -100
are O -100
my O -100
two O -100
favorites O -100
by O -100
FAR O -100
. O -100
I O -100
work O -100
in O -100
the O -100
restaurant O -100
scene O -100
in O -100
Boston O -100
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frequently O -100
dine O -100
at O -100
excellent O -100
places O -100
, O -100
but O -100
I O -100
keep O -100
coming O -100
back O -100
to O -100
the O -100
Wolf O -100
for O -100
my O -100
casual O -100
night O -100
out O -100
. O -100
Quest O -100
is O -100
MAGIC O -100
Howling O -100
Wolf O -100
Burrito O -100
why O -100
do O -100
i O -100
EVER O -100
let O -100
myself O -100
get O -100
anything O -100
else O -100
? O -100
? O -100
? O -100
( O -100
because O -100
I O -100
want O -100
to O -100
try O -100
everything O -100
, O -100
that O -100
' O -100
s O -100
why O -100
) O -100
. O -100
It O -100
' O -100
s O -100
just O -100
SO O -100
perfect O -100
. O -100
Try O -100
it O -100
. O -100
Just O -100
do O -100
it O -100
. O -100
You O -100
' O -100
ll O -100
die O -100
. O -100
I O -100
also O -100
love O -100
the O -100
chorizo O -100
papusa O -100
appetizer B-ASP -100
. O -100
Little O -100
spice O -100
, O -100
complimented O -100
by O -100
a O -100
vinegary O -100
slaw O -100
of O -100
come O -100
sort O -100
. O -100
Fish O -100
taco O -100
is O -100
phenomenal O -100
as O -100
well O -100
. O -100
Service B-ASP Neutral
is O -100
fine O -100
. O -100
Bar O -100
can O -100
be O -100
understaffed O -100
at O -100
times O -100
( O -100
one O -100
on O -100
doing O -100
the O -100
whole O -100
bar O -100
plus O -100
service B-ASP -100
) O -100
which O -100
creates O -100
a O -100
slower O -100
than O -100
desired O -100
experience B-ASP -100
. O -100
After O -100
I O -100
finally O -100
move O -100
out O -100
of O -100
Salem O -100
into O -100
Boston O -100
, O -100
I O -100
will O -100
be O -100
at O -100
the O -100
Wolf O -100
whenever O -100
I O -100
come O -100
up O -100
here O -100
to O -100
visit O -100
friends O -100
. O -100

I O -100
LOVE O -100
THE O -100
WOLF O -100
. O -100
I O -100
have O -100
been O -100
living O -100
in O -100
Salem O -100
for O -100
four O -100
years O -100
and O -100
this O -100
place O -100
and O -100
62 O -100
on O -100
the O -100
Wharf O -100
are O -100
my O -100
two O -100
favorites O -100
by O -100
FAR O -100
. O -100
I O -100
work O -100
in O -100
the O -100
restaurant O -100
scene O -100
in O -100
Boston O -100
and O -100
frequently O -100
dine O -100
at O -100
excellent O -100
places O -100
, O -100
but O -100
I O -100
keep O -100
coming O -100
back O -100
to O -100
the O -100
Wolf O -100
for O -100
my O -100
casual O -100
night O -100
out O -100
. O -100
Quest O -100
is O -100
MAGIC O -100
Howling O -100
Wolf O -100
Burrito O -100
why O -100
do O -100
i O -100
EVER O -100
let O -100
myself O -100
get O -100
anything O -100
else O -100
? O -100
? O -100
? O -100
( O -100
because O -100
I O -100
want O -100
to O -100
try O -100
everything O -100
, O -100
that O -100
' O -100
s O -100
why O -100
) O -100
. O -100
It O -100
' O -100
s O -100
just O -100
SO O -100
perfect O -100
. O -100
Try O -100
it O -100
. O -100
Just O -100
do O -100
it O -100
. O -100
You O -100
' O -100
ll O -100
die O -100
. O -100
I O -100
also O -100
love O -100
the O -100
chorizo O -100
papusa O -100
appetizer B-ASP -100
. O -100
Little O -100
spice O -100
, O -100
complimented O -100
by O -100
a O -100
vinegary O -100
slaw O -100
of O -100
come O -100
sort O -100
. O -100
Fish O -100
taco O -100
is O -100
phenomenal O -100
as O -100
well O -100
. O -100
Service B-ASP -100
is O -100
fine O -100
. O -100
Bar O -100
can O -100
be O -100
understaffed O -100
at O -100
times O -100
( O -100
one O -100
on O -100
doing O -100
the O -100
whole O -100
bar O -100
plus O -100
service B-ASP Negative
) O -100
which O -100
creates O -100
a O -100
slower O -100
than O -100
desired O -100
experience B-ASP -100
. O -100
After O -100
I O -100
finally O -100
move O -100
out O -100
of O -100
Salem O -100
into O -100
Boston O -100
, O -100
I O -100
will O -100
be O -100
at O -100
the O -100
Wolf O -100
whenever O -100
I O -100
come O -100
up O -100
here O -100
to O -100
visit O -100
friends O -100
. O -100

I O -100
LOVE O -100
THE O -100
WOLF O -100
. O -100
I O -100
have O -100
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living O -100
in O -100
Salem O -100
for O -100
four O -100
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this O -100
place O -100
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62 O -100
on O -100
the O -100
Wharf O -100
are O -100
my O -100
two O -100
favorites O -100
by O -100
FAR O -100
. O -100
I O -100
work O -100
in O -100
the O -100
restaurant O -100
scene O -100
in O -100
Boston O -100
and O -100
frequently O -100
dine O -100
at O -100
excellent O -100
places O -100
, O -100
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I O -100
keep O -100
coming O -100
back O -100
to O -100
the O -100
Wolf O -100
for O -100
my O -100
casual O -100
night O -100
out O -100
. O -100
Quest O -100
is O -100
MAGIC O -100
Howling O -100
Wolf O -100
Burrito O -100
why O -100
do O -100
i O -100
EVER O -100
let O -100
myself O -100
get O -100
anything O -100
else O -100
? O -100
? O -100
? O -100
( O -100
because O -100
I O -100
want O -100
to O -100
try O -100
everything O -100
, O -100
that O -100
' O -100
s O -100
why O -100
) O -100
. O -100
It O -100
' O -100
s O -100
just O -100
SO O -100
perfect O -100
. O -100
Try O -100
it O -100
. O -100
Just O -100
do O -100
it O -100
. O -100
You O -100
' O -100
ll O -100
die O -100
. O -100
I O -100
also O -100
love O -100
the O -100
chorizo O -100
papusa O -100
appetizer B-ASP -100
. O -100
Little O -100
spice O -100
, O -100
complimented O -100
by O -100
a O -100
vinegary O -100
slaw O -100
of O -100
come O -100
sort O -100
. O -100
Fish O -100
taco O -100
is O -100
phenomenal O -100
as O -100
well O -100
. O -100
Service B-ASP -100
is O -100
fine O -100
. O -100
Bar O -100
can O -100
be O -100
understaffed O -100
at O -100
times O -100
( O -100
one O -100
on O -100
doing O -100
the O -100
whole O -100
bar O -100
plus O -100
service B-ASP -100
) O -100
which O -100
creates O -100
a O -100
slower O -100
than O -100
desired O -100
experience B-ASP Negative
. O -100
After O -100
I O -100
finally O -100
move O -100
out O -100
of O -100
Salem O -100
into O -100
Boston O -100
, O -100
I O -100
will O -100
be O -100
at O -100
the O -100
Wolf O -100
whenever O -100
I O -100
come O -100
up O -100
here O -100
to O -100
visit O -100
friends O -100
. O -100

I O -100
' O -100
ve O -100
always O -100
liked O -100
Flip O -100
( O -100
I O -100
' O -100
ve O -100
been O -100
to O -100
both O -100
the O -100
Buckhead O -100
and O -100
Howell O -100
Mill O -100
locations O -100
several O -100
times O -100
over O -100
the O -100
past O -100
few O -100
years O -100
) O -100
, O -100
but O -100
of O -100
the O -100
two O -100
Richard O -100
Blais O -100
conceptions O -100
Flip O -100
Burger O -100
and O -100
HD1 O -100
, O -100
HD1 O -100
was O -100
my O -100
favorite O -100
; O -100
so O -100
I O -100
was O -100
quite O -100
saddened O -100
when O -100
I O -100
learned O -100
they O -100
were O -100
turning O -100
this O -100
location O -100
into O -100
a O -100
Flip O -100
. O -100
This O -100
past O -100
Sunday O -100
was O -100
my O -100
first O -100
visit O -100
since O -100
Flip O -100
Burger O -100
opened O -100
, O -100
the O -100
space O -100
is O -100
fairly O -100
identical O -100
with O -100
the O -100
exception O -100
of O -100
additional O -100
seating O -100
( O -100
two O -100
large O -100
booths O -100
on O -100
either O -100
end O -100
of O -100
the O -100
restaurant O -100
) O -100
. O -100
I O -100
had O -100
previously O -100
heard O -100
that O -100
management O -100
was O -100
planning O -100
on O -100
keeping O -100
a O -100
few O -100
of O -100
HD1 O -100
' O -100
s O -100
mainstays O -100
on O -100
the O -100
menu O -100
, O -100
but O -100
unfortunately O -100
only O -100
the O -100
' O -100
Haute O -100
Dog O -100
' O -100
made O -100
it O -100
. O -100
No O -100
biggie O -100
, O -100
the O -100
BF O -100
and O -100
I O -100
both O -100
decided O -100
on O -100
burger O -100
options O -100
; O -100
he O -100
had O -100
the O -100
" O -100
Oaxaca O -100
Burger O -100
" O -100
( O -100
beef O -100
patty O -100
topped O -100
with O -100
sliced O -100
avocado O -100
, O -100
pico O -100
de O -100
gallo O -100
, O -100
and O -100
smoked O -100
mayo O -100
) O -100
. O -100
I O -100
was O -100
a O -100
litle O -100
hesitant O -100
trying O -100
it O -100
it O -100
sounded O -100
much O -100
too O -100
spicy O -100
for O -100
my O -100
wimpy O -100
taste O -100
buds O -100
but O -100
the O -100
spice O -100
was O -100
surprisingly O -100
mild O -100
. O -100
Good O -100
news O -100
for O -100
me O -100
, O -100
but O -100
bad O -100
news O -100
if O -100
you O -100
' O -100
re O -100
looking O -100
for O -100
some O -100
kick O -100
. O -100
The O -100
burger B-ASP Positive
itself O -100
was O -100
well O -100
cooked O -100
, O -100
very O -100
tender O -100
, O -100
and O -100
the O -100
toppings O -100
were O -100
a O -100
very O -100
refreshing O -100
contrast O -100
to O -100
the O -100
beef O -100
. O -100
I O -100
chose O -100
their O -100
special O -100
of O -100
the O -100
day O -100
: O -100
the O -100
" O -100
Surf O -100
and O -100
Turf O -100
" O -100
Burger O -100
( O -100
beef O -100
patty O -100
, O -100
topped O -100
with O -100
sauteed O -100
lobster O -100
knuckles O -100
, O -100
" O -100
garlic O -100
herb O -100
white O -100
wine O -100
butter O -100
" O -100
, O -100
pea O -100
shoots O -100
, O -100
and O -100
green O -100
goddess O -100
dressing O -100
) O -100
which O -100
came O -100
with O -100
a O -100
side O -100
of O -100
seasoned O -100
fries O -100
served O -100
with O -100
mayo O -100
and O -100
ketchup O -100
( O -100
$ O -100
16 O -100
) O -100
. O -100
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adjectives O -100
were O -100
just O -100
too O -100
much O -100
for O -100
me O -100
to O -100
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, O -100
I O -100
had O -100
to O -100
have O -100
it O -100
. O -100
I O -100
wasn O -100
' O -100
t O -100
disappointed O -100
it O -100
was O -100
quite O -100
tasty O -100
, O -100
it O -100
was O -100
the O -100
same O -100
beef O -100
patty O -100
of O -100
the O -100
' O -100
Oaxaca O -100
' O -100
the O -100
lobster B-ASP -100
was O -100
buttery O -100
and O -100
well O -100
cooked O -100
, O -100
also O -100
more O -100
plentiful O -100
than O -100
I O -100
thought O -100
there O -100
' O -100
d O -100
be O -100
. O -100
Always O -100
a O -100
plus O -100
! O -100
We O -100
finished O -100
our O -100
meal O -100
by O -100
sharing O -100
the O -100
Pistachio O -100
" O -100
Liquid O -100
Nitrogen O -100
" O -100
milkshake O -100
. O -100
No O -100
surprise O -100
, O -100
I O -100
loved O -100
it O -100
. O -100
I O -100
really O -100
like O -100
that O -100
the O -100
milkshakes O -100
have O -100
a O -100
more O -100
complex O -100
sweetness O -100
to O -100
them O -100
, O -100
there O -100
' O -100
s O -100
a O -100
muti O -100
flavor O -100
component O -100
to O -100
them O -100
as O -100
well O -100
. O -100
The O -100
service B-ASP -100
was O -100
excellent O -100
, O -100
our O -100
server B-ASP -100
was O -100
friendly O -100
and O -100
attentive O -100
. O -100
There O -100
was O -100
a O -100
slight O -100
delay B-ASP -100
in O -100
our O -100
entrees O -100
coming O -100
out O -100
but O -100
the O -100
manger B-ASP -100
came O -100
out O -100
straightaway O -100
and O -100
apologized O -100
profusely O -100
. O -100
My O -100
one O -100
tiny O -100
complaint O -100
/ O -100
tip O -100
regarding O -100
Flip O -100
( O -100
all O -100
locations O -100
) O -100
the O -100
burgers B-ASP -100
are O -100
quite O -100
small O -100
hella O -100
tasty O -100
and O -100
gourmet O -100
but O -100
small O -100
. O -100
Just O -100
having O -100
a O -100
burger O -100
will O -100
leave O -100
you O -100
still O -100
a O -100
bit O -100
hungry O -100
, O -100
definitely O -100
go O -100
for O -100
an O -100
app O -100
, O -100
a O -100
side O -100
and O -100
how O -100
could O -100
you O -100
resist O -100
one O -100
of O -100
their O -100
milkshakes O -100
? O -100

I O -100
' O -100
ve O -100
always O -100
liked O -100
Flip O -100
( O -100
I O -100
' O -100
ve O -100
been O -100
to O -100
both O -100
the O -100
Buckhead O -100
and O -100
Howell O -100
Mill O -100
locations O -100
several O -100
times O -100
over O -100
the O -100
past O -100
few O -100
years O -100
) O -100
, O -100
but O -100
of O -100
the O -100
two O -100
Richard O -100
Blais O -100
conceptions O -100
Flip O -100
Burger O -100
and O -100
HD1 O -100
, O -100
HD1 O -100
was O -100
my O -100
favorite O -100
; O -100
so O -100
I O -100
was O -100
quite O -100
saddened O -100
when O -100
I O -100
learned O -100
they O -100
were O -100
turning O -100
this O -100
location O -100
into O -100
a O -100
Flip O -100
. O -100
This O -100
past O -100
Sunday O -100
was O -100
my O -100
first O -100
visit O -100
since O -100
Flip O -100
Burger O -100
opened O -100
, O -100
the O -100
space O -100
is O -100
fairly O -100
identical O -100
with O -100
the O -100
exception O -100
of O -100
additional O -100
seating O -100
( O -100
two O -100
large O -100
booths O -100
on O -100
either O -100
end O -100
of O -100
the O -100
restaurant O -100
) O -100
. O -100
I O -100
had O -100
previously O -100
heard O -100
that O -100
management O -100
was O -100
planning O -100
on O -100
keeping O -100
a O -100
few O -100
of O -100
HD1 O -100
' O -100
s O -100
mainstays O -100
on O -100
the O -100
menu O -100
, O -100
but O -100
unfortunately O -100
only O -100
the O -100
' O -100
Haute O -100
Dog O -100
' O -100
made O -100
it O -100
. O -100
No O -100
biggie O -100
, O -100
the O -100
BF O -100
and O -100
I O -100
both O -100
decided O -100
on O -100
burger O -100
options O -100
; O -100
he O -100
had O -100
the O -100
" O -100
Oaxaca O -100
Burger O -100
" O -100
( O -100
beef O -100
patty O -100
topped O -100
with O -100
sliced O -100
avocado O -100
, O -100
pico O -100
de O -100
gallo O -100
, O -100
and O -100
smoked O -100
mayo O -100
) O -100
. O -100
I O -100
was O -100
a O -100
litle O -100
hesitant O -100
trying O -100
it O -100
it O -100
sounded O -100
much O -100
too O -100
spicy O -100
for O -100
my O -100
wimpy O -100
taste O -100
buds O -100
but O -100
the O -100
spice O -100
was O -100
surprisingly O -100
mild O -100
. O -100
Good O -100
news O -100
for O -100
me O -100
, O -100
but O -100
bad O -100
news O -100
if O -100
you O -100
' O -100
re O -100
looking O -100
for O -100
some O -100
kick O -100
. O -100
The O -100
burger B-ASP -100
itself O -100
was O -100
well O -100
cooked O -100
, O -100
very O -100
tender O -100
, O -100
and O -100
the O -100
toppings O -100
were O -100
a O -100
very O -100
refreshing O -100
contrast O -100
to O -100
the O -100
beef O -100
. O -100
I O -100
chose O -100
their O -100
special O -100
of O -100
the O -100
day O -100
: O -100
the O -100
" O -100
Surf O -100
and O -100
Turf O -100
" O -100
Burger O -100
( O -100
beef O -100
patty O -100
, O -100
topped O -100
with O -100
sauteed O -100
lobster O -100
knuckles O -100
, O -100
" O -100
garlic O -100
herb O -100
white O -100
wine O -100
butter O -100
" O -100
, O -100
pea O -100
shoots O -100
, O -100
and O -100
green O -100
goddess O -100
dressing O -100
) O -100
which O -100
came O -100
with O -100
a O -100
side O -100
of O -100
seasoned O -100
fries O -100
served O -100
with O -100
mayo O -100
and O -100
ketchup O -100
( O -100
$ O -100
16 O -100
) O -100
. O -100
The O -100
adjectives O -100
were O -100
just O -100
too O -100
much O -100
for O -100
me O -100
to O -100
resist O -100
, O -100
I O -100
had O -100
to O -100
have O -100
it O -100
. O -100
I O -100
wasn O -100
' O -100
t O -100
disappointed O -100
it O -100
was O -100
quite O -100
tasty O -100
, O -100
it O -100
was O -100
the O -100
same O -100
beef O -100
patty O -100
of O -100
the O -100
' O -100
Oaxaca O -100
' O -100
the O -100
lobster B-ASP Positive
was O -100
buttery O -100
and O -100
well O -100
cooked O -100
, O -100
also O -100
more O -100
plentiful O -100
than O -100
I O -100
thought O -100
there O -100
' O -100
d O -100
be O -100
. O -100
Always O -100
a O -100
plus O -100
! O -100
We O -100
finished O -100
our O -100
meal O -100
by O -100
sharing O -100
the O -100
Pistachio O -100
" O -100
Liquid O -100
Nitrogen O -100
" O -100
milkshake O -100
. O -100
No O -100
surprise O -100
, O -100
I O -100
loved O -100
it O -100
. O -100
I O -100
really O -100
like O -100
that O -100
the O -100
milkshakes O -100
have O -100
a O -100
more O -100
complex O -100
sweetness O -100
to O -100
them O -100
, O -100
there O -100
' O -100
s O -100
a O -100
muti O -100
flavor O -100
component O -100
to O -100
them O -100
as O -100
well O -100
. O -100
The O -100
service B-ASP -100
was O -100
excellent O -100
, O -100
our O -100
server B-ASP -100
was O -100
friendly O -100
and O -100
attentive O -100
. O -100
There O -100
was O -100
a O -100
slight O -100
delay B-ASP -100
in O -100
our O -100
entrees O -100
coming O -100
out O -100
but O -100
the O -100
manger B-ASP -100
came O -100
out O -100
straightaway O -100
and O -100
apologized O -100
profusely O -100
. O -100
My O -100
one O -100
tiny O -100
complaint O -100
/ O -100
tip O -100
regarding O -100
Flip O -100
( O -100
all O -100
locations O -100
) O -100
the O -100
burgers B-ASP -100
are O -100
quite O -100
small O -100
hella O -100
tasty O -100
and O -100
gourmet O -100
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Just O -100
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milkshakes O -100
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I O -100
' O -100
ve O -100
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Flip O -100
( O -100
I O -100
' O -100
ve O -100
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the O -100
Buckhead O -100
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Howell O -100
Mill O -100
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Flip O -100
Burger O -100
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HD1 O -100
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HD1 O -100
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I O -100
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Flip O -100
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This O -100
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Flip O -100
Burger O -100
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Haute O -100
Dog O -100
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No O -100
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the O -100
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I O -100
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" O -100
Oaxaca O -100
Burger O -100
" O -100
( O -100
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patty O -100
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avocado O -100
, O -100
pico O -100
de O -100
gallo O -100
, O -100
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smoked O -100
mayo O -100
) O -100
. O -100
I O -100
was O -100
a O -100
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Good O -100
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' O -100
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The O -100
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I O -100
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: O -100
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" O -100
Surf O -100
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Turf O -100
" O -100
Burger O -100
( O -100
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patty O -100
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" O -100
, O -100
pea O -100
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, O -100
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green O -100
goddess O -100
dressing O -100
) O -100
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16 O -100
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The O -100
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I O -100
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I O -100
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' O -100
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' O -100
Oaxaca O -100
' O -100
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I O -100
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there O -100
' O -100
d O -100
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. O -100
Always O -100
a O -100
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! O -100
We O -100
finished O -100
our O -100
meal O -100
by O -100
sharing O -100
the O -100
Pistachio O -100
" O -100
Liquid O -100
Nitrogen O -100
" O -100
milkshake O -100
. O -100
No O -100
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, O -100
I O -100
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. O -100
I O -100
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there O -100
' O -100
s O -100
a O -100
muti O -100
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them O -100
as O -100
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. O -100
The O -100
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, O -100
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server B-ASP -100
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There O -100
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My O -100
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Flip O -100
( O -100
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Just O -100
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their O -100
milkshakes O -100
? O -100

I O -100
' O -100
ve O -100
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Flip O -100
( O -100
I O -100
' O -100
ve O -100
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to O -100
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the O -100
Buckhead O -100
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Howell O -100
Mill O -100
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the O -100
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Flip O -100
Burger O -100
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HD1 O -100
, O -100
HD1 O -100
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I O -100
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Flip O -100
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This O -100
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Sunday O -100
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Flip O -100
Burger O -100
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I O -100
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' O -100
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menu O -100
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' O -100
Haute O -100
Dog O -100
' O -100
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No O -100
biggie O -100
, O -100
the O -100
BF O -100
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I O -100
both O -100
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burger O -100
options O -100
; O -100
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" O -100
Oaxaca O -100
Burger O -100
" O -100
( O -100
beef O -100
patty O -100
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avocado O -100
, O -100
pico O -100
de O -100
gallo O -100
, O -100
and O -100
smoked O -100
mayo O -100
) O -100
. O -100
I O -100
was O -100
a O -100
litle O -100
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it O -100
sounded O -100
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Good O -100
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you O -100
' O -100
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kick O -100
. O -100
The O -100
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, O -100
very O -100
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, O -100
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the O -100
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. O -100
I O -100
chose O -100
their O -100
special O -100
of O -100
the O -100
day O -100
: O -100
the O -100
" O -100
Surf O -100
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Turf O -100
" O -100
Burger O -100
( O -100
beef O -100
patty O -100
, O -100
topped O -100
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, O -100
" O -100
garlic O -100
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white O -100
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butter O -100
" O -100
, O -100
pea O -100
shoots O -100
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green O -100
goddess O -100
dressing O -100
) O -100
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16 O -100
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The O -100
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I O -100
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' O -100
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' O -100
Oaxaca O -100
' O -100
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I O -100
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there O -100
' O -100
d O -100
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. O -100
Always O -100
a O -100
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! O -100
We O -100
finished O -100
our O -100
meal O -100
by O -100
sharing O -100
the O -100
Pistachio O -100
" O -100
Liquid O -100
Nitrogen O -100
" O -100
milkshake O -100
. O -100
No O -100
surprise O -100
, O -100
I O -100
loved O -100
it O -100
. O -100
I O -100
really O -100
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that O -100
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, O -100
there O -100
' O -100
s O -100
a O -100
muti O -100
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component O -100
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them O -100
as O -100
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. O -100
The O -100
service B-ASP -100
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, O -100
our O -100
server B-ASP Positive
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. O -100
There O -100
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a O -100
slight O -100
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My O -100
one O -100
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/ O -100
tip O -100
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Flip O -100
( O -100
all O -100
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) O -100
the O -100
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small O -100
hella O -100
tasty O -100
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Just O -100
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you O -100
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you O -100
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their O -100
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? O -100

I O -100
' O -100
ve O -100
always O -100
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Flip O -100
( O -100
I O -100
' O -100
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Buckhead O -100
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Howell O -100
Mill O -100
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the O -100
two O -100
Richard O -100
Blais O -100
conceptions O -100
Flip O -100
Burger O -100
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HD1 O -100
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HD1 O -100
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I O -100
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This O -100
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Burger O -100
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the O -100
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I O -100
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HD1 O -100
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menu O -100
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only O -100
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' O -100
Haute O -100
Dog O -100
' O -100
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No O -100
biggie O -100
, O -100
the O -100
BF O -100
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I O -100
both O -100
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on O -100
burger O -100
options O -100
; O -100
he O -100
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the O -100
" O -100
Oaxaca O -100
Burger O -100
" O -100
( O -100
beef O -100
patty O -100
topped O -100
with O -100
sliced O -100
avocado O -100
, O -100
pico O -100
de O -100
gallo O -100
, O -100
and O -100
smoked O -100
mayo O -100
) O -100
. O -100
I O -100
was O -100
a O -100
litle O -100
hesitant O -100
trying O -100
it O -100
it O -100
sounded O -100
much O -100
too O -100
spicy O -100
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my O -100
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taste O -100
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the O -100
spice O -100
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Good O -100
news O -100
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me O -100
, O -100
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news O -100
if O -100
you O -100
' O -100
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looking O -100
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some O -100
kick O -100
. O -100
The O -100
burger B-ASP -100
itself O -100
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cooked O -100
, O -100
very O -100
tender O -100
, O -100
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the O -100
toppings O -100
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a O -100
very O -100
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the O -100
beef O -100
. O -100
I O -100
chose O -100
their O -100
special O -100
of O -100
the O -100
day O -100
: O -100
the O -100
" O -100
Surf O -100
and O -100
Turf O -100
" O -100
Burger O -100
( O -100
beef O -100
patty O -100
, O -100
topped O -100
with O -100
sauteed O -100
lobster O -100
knuckles O -100
, O -100
" O -100
garlic O -100
herb O -100
white O -100
wine O -100
butter O -100
" O -100
, O -100
pea O -100
shoots O -100
, O -100
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green O -100
goddess O -100
dressing O -100
) O -100
which O -100
came O -100
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a O -100
side O -100
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seasoned O -100
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served O -100
with O -100
mayo O -100
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ketchup O -100
( O -100
$ O -100
16 O -100
) O -100
. O -100
The O -100
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were O -100
just O -100
too O -100
much O -100
for O -100
me O -100
to O -100
resist O -100
, O -100
I O -100
had O -100
to O -100
have O -100
it O -100
. O -100
I O -100
wasn O -100
' O -100
t O -100
disappointed O -100
it O -100
was O -100
quite O -100
tasty O -100
, O -100
it O -100
was O -100
the O -100
same O -100
beef O -100
patty O -100
of O -100
the O -100
' O -100
Oaxaca O -100
' O -100
the O -100
lobster B-ASP -100
was O -100
buttery O -100
and O -100
well O -100
cooked O -100
, O -100
also O -100
more O -100
plentiful O -100
than O -100
I O -100
thought O -100
there O -100
' O -100
d O -100
be O -100
. O -100
Always O -100
a O -100
plus O -100
! O -100
We O -100
finished O -100
our O -100
meal O -100
by O -100
sharing O -100
the O -100
Pistachio O -100
" O -100
Liquid O -100
Nitrogen O -100
" O -100
milkshake O -100
. O -100
No O -100
surprise O -100
, O -100
I O -100
loved O -100
it O -100
. O -100
I O -100
really O -100
like O -100
that O -100
the O -100
milkshakes O -100
have O -100
a O -100
more O -100
complex O -100
sweetness O -100
to O -100
them O -100
, O -100
there O -100
' O -100
s O -100
a O -100
muti O -100
flavor O -100
component O -100
to O -100
them O -100
as O -100
well O -100
. O -100
The O -100
service B-ASP -100
was O -100
excellent O -100
, O -100
our O -100
server B-ASP -100
was O -100
friendly O -100
and O -100
attentive O -100
. O -100
There O -100
was O -100
a O -100
slight O -100
delay B-ASP Negative
in O -100
our O -100
entrees O -100
coming O -100
out O -100
but O -100
the O -100
manger B-ASP -100
came O -100
out O -100
straightaway O -100
and O -100
apologized O -100
profusely O -100
. O -100
My O -100
one O -100
tiny O -100
complaint O -100
/ O -100
tip O -100
regarding O -100
Flip O -100
( O -100
all O -100
locations O -100
) O -100
the O -100
burgers B-ASP -100
are O -100
quite O -100
small O -100
hella O -100
tasty O -100
and O -100
gourmet O -100
but O -100
small O -100
. O -100
Just O -100
having O -100
a O -100
burger O -100
will O -100
leave O -100
you O -100
still O -100
a O -100
bit O -100
hungry O -100
, O -100
definitely O -100
go O -100
for O -100
an O -100
app O -100
, O -100
a O -100
side O -100
and O -100
how O -100
could O -100
you O -100
resist O -100
one O -100
of O -100
their O -100
milkshakes O -100
? O -100

I O -100
' O -100
ve O -100
always O -100
liked O -100
Flip O -100
( O -100
I O -100
' O -100
ve O -100
been O -100
to O -100
both O -100
the O -100
Buckhead O -100
and O -100
Howell O -100
Mill O -100
locations O -100
several O -100
times O -100
over O -100
the O -100
past O -100
few O -100
years O -100
) O -100
, O -100
but O -100
of O -100
the O -100
two O -100
Richard O -100
Blais O -100
conceptions O -100
Flip O -100
Burger O -100
and O -100
HD1 O -100
, O -100
HD1 O -100
was O -100
my O -100
favorite O -100
; O -100
so O -100
I O -100
was O -100
quite O -100
saddened O -100
when O -100
I O -100
learned O -100
they O -100
were O -100
turning O -100
this O -100
location O -100
into O -100
a O -100
Flip O -100
. O -100
This O -100
past O -100
Sunday O -100
was O -100
my O -100
first O -100
visit O -100
since O -100
Flip O -100
Burger O -100
opened O -100
, O -100
the O -100
space O -100
is O -100
fairly O -100
identical O -100
with O -100
the O -100
exception O -100
of O -100
additional O -100
seating O -100
( O -100
two O -100
large O -100
booths O -100
on O -100
either O -100
end O -100
of O -100
the O -100
restaurant O -100
) O -100
. O -100
I O -100
had O -100
previously O -100
heard O -100
that O -100
management O -100
was O -100
planning O -100
on O -100
keeping O -100
a O -100
few O -100
of O -100
HD1 O -100
' O -100
s O -100
mainstays O -100
on O -100
the O -100
menu O -100
, O -100
but O -100
unfortunately O -100
only O -100
the O -100
' O -100
Haute O -100
Dog O -100
' O -100
made O -100
it O -100
. O -100
No O -100
biggie O -100
, O -100
the O -100
BF O -100
and O -100
I O -100
both O -100
decided O -100
on O -100
burger O -100
options O -100
; O -100
he O -100
had O -100
the O -100
" O -100
Oaxaca O -100
Burger O -100
" O -100
( O -100
beef O -100
patty O -100
topped O -100
with O -100
sliced O -100
avocado O -100
, O -100
pico O -100
de O -100
gallo O -100
, O -100
and O -100
smoked O -100
mayo O -100
) O -100
. O -100
I O -100
was O -100
a O -100
litle O -100
hesitant O -100
trying O -100
it O -100
it O -100
sounded O -100
much O -100
too O -100
spicy O -100
for O -100
my O -100
wimpy O -100
taste O -100
buds O -100
but O -100
the O -100
spice O -100
was O -100
surprisingly O -100
mild O -100
. O -100
Good O -100
news O -100
for O -100
me O -100
, O -100
but O -100
bad O -100
news O -100
if O -100
you O -100
' O -100
re O -100
looking O -100
for O -100
some O -100
kick O -100
. O -100
The O -100
burger B-ASP -100
itself O -100
was O -100
well O -100
cooked O -100
, O -100
very O -100
tender O -100
, O -100
and O -100
the O -100
toppings O -100
were O -100
a O -100
very O -100
refreshing O -100
contrast O -100
to O -100
the O -100
beef O -100
. O -100
I O -100
chose O -100
their O -100
special O -100
of O -100
the O -100
day O -100
: O -100
the O -100
" O -100
Surf O -100
and O -100
Turf O -100
" O -100
Burger O -100
( O -100
beef O -100
patty O -100
, O -100
topped O -100
with O -100
sauteed O -100
lobster O -100
knuckles O -100
, O -100
" O -100
garlic O -100
herb O -100
white O -100
wine O -100
butter O -100
" O -100
, O -100
pea O -100
shoots O -100
, O -100
and O -100
green O -100
goddess O -100
dressing O -100
) O -100
which O -100
came O -100
with O -100
a O -100
side O -100
of O -100
seasoned O -100
fries O -100
served O -100
with O -100
mayo O -100
and O -100
ketchup O -100
( O -100
$ O -100
16 O -100
) O -100
. O -100
The O -100
adjectives O -100
were O -100
just O -100
too O -100
much O -100
for O -100
me O -100
to O -100
resist O -100
, O -100
I O -100
had O -100
to O -100
have O -100
it O -100
. O -100
I O -100
wasn O -100
' O -100
t O -100
disappointed O -100
it O -100
was O -100
quite O -100
tasty O -100
, O -100
it O -100
was O -100
the O -100
same O -100
beef O -100
patty O -100
of O -100
the O -100
' O -100
Oaxaca O -100
' O -100
the O -100
lobster B-ASP -100
was O -100
buttery O -100
and O -100
well O -100
cooked O -100
, O -100
also O -100
more O -100
plentiful O -100
than O -100
I O -100
thought O -100
there O -100
' O -100
d O -100
be O -100
. O -100
Always O -100
a O -100
plus O -100
! O -100
We O -100
finished O -100
our O -100
meal O -100
by O -100
sharing O -100
the O -100
Pistachio O -100
" O -100
Liquid O -100
Nitrogen O -100
" O -100
milkshake O -100
. O -100
No O -100
surprise O -100
, O -100
I O -100
loved O -100
it O -100
. O -100
I O -100
really O -100
like O -100
that O -100
the O -100
milkshakes O -100
have O -100
a O -100
more O -100
complex O -100
sweetness O -100
to O -100
them O -100
, O -100
there O -100
' O -100
s O -100
a O -100
muti O -100
flavor O -100
component O -100
to O -100
them O -100
as O -100
well O -100
. O -100
The O -100
service B-ASP -100
was O -100
excellent O -100
, O -100
our O -100
server B-ASP -100
was O -100
friendly O -100
and O -100
attentive O -100
. O -100
There O -100
was O -100
a O -100
slight O -100
delay B-ASP -100
in O -100
our O -100
entrees O -100
coming O -100
out O -100
but O -100
the O -100
manger B-ASP Positive
came O -100
out O -100
straightaway O -100
and O -100
apologized O -100
profusely O -100
. O -100
My O -100
one O -100
tiny O -100
complaint O -100
/ O -100
tip O -100
regarding O -100
Flip O -100
( O -100
all O -100
locations O -100
) O -100
the O -100
burgers B-ASP -100
are O -100
quite O -100
small O -100
hella O -100
tasty O -100
and O -100
gourmet O -100
but O -100
small O -100
. O -100
Just O -100
having O -100
a O -100
burger O -100
will O -100
leave O -100
you O -100
still O -100
a O -100
bit O -100
hungry O -100
, O -100
definitely O -100
go O -100
for O -100
an O -100
app O -100
, O -100
a O -100
side O -100
and O -100
how O -100
could O -100
you O -100
resist O -100
one O -100
of O -100
their O -100
milkshakes O -100
? O -100

I O -100
' O -100
ve O -100
always O -100
liked O -100
Flip O -100
( O -100
I O -100
' O -100
ve O -100
been O -100
to O -100
both O -100
the O -100
Buckhead O -100
and O -100
Howell O -100
Mill O -100
locations O -100
several O -100
times O -100
over O -100
the O -100
past O -100
few O -100
years O -100
) O -100
, O -100
but O -100
of O -100
the O -100
two O -100
Richard O -100
Blais O -100
conceptions O -100
Flip O -100
Burger O -100
and O -100
HD1 O -100
, O -100
HD1 O -100
was O -100
my O -100
favorite O -100
; O -100
so O -100
I O -100
was O -100
quite O -100
saddened O -100
when O -100
I O -100
learned O -100
they O -100
were O -100
turning O -100
this O -100
location O -100
into O -100
a O -100
Flip O -100
. O -100
This O -100
past O -100
Sunday O -100
was O -100
my O -100
first O -100
visit O -100
since O -100
Flip O -100
Burger O -100
opened O -100
, O -100
the O -100
space O -100
is O -100
fairly O -100
identical O -100
with O -100
the O -100
exception O -100
of O -100
additional O -100
seating O -100
( O -100
two O -100
large O -100
booths O -100
on O -100
either O -100
end O -100
of O -100
the O -100
restaurant O -100
) O -100
. O -100
I O -100
had O -100
previously O -100
heard O -100
that O -100
management O -100
was O -100
planning O -100
on O -100
keeping O -100
a O -100
few O -100
of O -100
HD1 O -100
' O -100
s O -100
mainstays O -100
on O -100
the O -100
menu O -100
, O -100
but O -100
unfortunately O -100
only O -100
the O -100
' O -100
Haute O -100
Dog O -100
' O -100
made O -100
it O -100
. O -100
No O -100
biggie O -100
, O -100
the O -100
BF O -100
and O -100
I O -100
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decided O -100
on O -100
burger O -100
options O -100
; O -100
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the O -100
" O -100
Oaxaca O -100
Burger O -100
" O -100
( O -100
beef O -100
patty O -100
topped O -100
with O -100
sliced O -100
avocado O -100
, O -100
pico O -100
de O -100
gallo O -100
, O -100
and O -100
smoked O -100
mayo O -100
) O -100
. O -100
I O -100
was O -100
a O -100
litle O -100
hesitant O -100
trying O -100
it O -100
it O -100
sounded O -100
much O -100
too O -100
spicy O -100
for O -100
my O -100
wimpy O -100
taste O -100
buds O -100
but O -100
the O -100
spice O -100
was O -100
surprisingly O -100
mild O -100
. O -100
Good O -100
news O -100
for O -100
me O -100
, O -100
but O -100
bad O -100
news O -100
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you O -100
' O -100
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looking O -100
for O -100
some O -100
kick O -100
. O -100
The O -100
burger B-ASP -100
itself O -100
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cooked O -100
, O -100
very O -100
tender O -100
, O -100
and O -100
the O -100
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were O -100
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very O -100
refreshing O -100
contrast O -100
to O -100
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beef O -100
. O -100
I O -100
chose O -100
their O -100
special O -100
of O -100
the O -100
day O -100
: O -100
the O -100
" O -100
Surf O -100
and O -100
Turf O -100
" O -100
Burger O -100
( O -100
beef O -100
patty O -100
, O -100
topped O -100
with O -100
sauteed O -100
lobster O -100
knuckles O -100
, O -100
" O -100
garlic O -100
herb O -100
white O -100
wine O -100
butter O -100
" O -100
, O -100
pea O -100
shoots O -100
, O -100
and O -100
green O -100
goddess O -100
dressing O -100
) O -100
which O -100
came O -100
with O -100
a O -100
side O -100
of O -100
seasoned O -100
fries O -100
served O -100
with O -100
mayo O -100
and O -100
ketchup O -100
( O -100
$ O -100
16 O -100
) O -100
. O -100
The O -100
adjectives O -100
were O -100
just O -100
too O -100
much O -100
for O -100
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it O -100
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' O -100
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same O -100
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patty O -100
of O -100
the O -100
' O -100
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' O -100
the O -100
lobster B-ASP -100
was O -100
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and O -100
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, O -100
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than O -100
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' O -100
d O -100
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. O -100
Always O -100
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! O -100
We O -100
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our O -100
meal O -100
by O -100
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the O -100
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" O -100
Liquid O -100
Nitrogen O -100
" O -100
milkshake O -100
. O -100
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, O -100
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it O -100
. O -100
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a O -100
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sweetness O -100
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flavor O -100
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was O -100
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was O -100
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and O -100
attentive O -100
. O -100
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was O -100
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delay B-ASP -100
in O -100
our O -100
entrees O -100
coming O -100
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the O -100
manger B-ASP -100
came O -100
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straightaway O -100
and O -100
apologized O -100
profusely O -100
. O -100
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. O -100
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a O -100
burger O -100
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leave O -100
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go O -100
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an O -100
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Sooooo O -100
happy O -100
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seafood O -100
, O -100
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ham O -100
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goodness O -100
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was O -100
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memories O -100
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was O -100
very O -100
helpful O -100
and O -100
we O -100
managed O -100
to O -100
choose O -100
some O -100
top O -100
notch O -100
tapas O -100
( O -100
although O -100
I O -100
can O -100
' O -100
t O -100
imagine O -100
anything O -100
here O -100
not O -100
being O -100
delish O -100
) O -100
. O -100
After O -100
our O -100
meal O -100
, O -100
Pepe O -100
suggested O -100
a O -100
sherry O -100
for O -100
desert O -100
and O -100
he O -100
was O -100
spot O -100
on O -100
. O -100
He B-ASP -100
chatted O -100
with O -100
us O -100
for O -100
awhile O -100
and O -100
it O -100
was O -100
most O -100
enjoyable O -100
. O -100
Cannot O -100
wait O -100
to O -100
go O -100
back O -100
! O -100
Pros O -100
: O -100
everything O -100
Cons O -100
: O -100
need O -100
more O -100
friends O -100
so O -100
we O -100
can O -100
order O -100
more O -100
variety O -100
: O -100
) O -100

Sooooo O -100
happy O -100
we O -100
found O -100
this O -100
place O -100
. O -100
I O -100
have O -100
been O -100
wanting O -100
to O -100
go O -100
for O -100
awhile O -100
but O -100
Husband O -100
( O -100
never O -100
having O -100
had O -100
tapas O -100
) O -100
was O -100
resistant O -100
( O -100
although O -100
he O -100
loves O -100
seafood O -100
, O -100
rice O -100
and O -100
ham O -100
go O -100
figure O -100
! O -100
) O -100
. O -100
Thanks O -100
goodness O -100
for O -100
the O -100
power O -100
outage O -100
last O -100
week O -100
! O -100
I O -100
convinced O -100
him O -100
to O -100
go O -100
here O -100
( O -100
" O -100
like O -100
dim O -100
sum O -100
honey O -100
only O -100
Spanish O -100
food O -100
. O -100
. O -100
. O -100
you O -100
know O -100
, O -100
like O -100
jamon O -100
? O -100
? O -100
? O -100
! O -100
! O -100
! O -100
" O -100
) O -100
. O -100
From O -100
the O -100
phone O -100
call O -100
to O -100
see O -100
if O -100
they O -100
were O -100
open O -100
to O -100
the O -100
moment O -100
we O -100
walked O -100
in O -100
, O -100
we O -100
felt O -100
welcomed O -100
and O -100
the O -100
friendliness B-ASP -100
was O -100
obviously O -100
sincere O -100
. O -100
The O -100
place O -100
does O -100
look O -100
like O -100
a O -100
veritable O -100
tapas O -100
bar O -100
( O -100
memories O -100
of O -100
Spain O -100
) O -100
. O -100
The O -100
menu B-ASP Positive
was O -100
everything O -100
I O -100
had O -100
hoped O -100
. O -100
Fortunately O -100
Karly B-ASP -100
( O -100
or O -100
Carly O -100
? O -100
) O -100
was O -100
very O -100
helpful O -100
and O -100
we O -100
managed O -100
to O -100
choose O -100
some O -100
top O -100
notch O -100
tapas O -100
( O -100
although O -100
I O -100
can O -100
' O -100
t O -100
imagine O -100
anything O -100
here O -100
not O -100
being O -100
delish O -100
) O -100
. O -100
After O -100
our O -100
meal O -100
, O -100
Pepe O -100
suggested O -100
a O -100
sherry O -100
for O -100
desert O -100
and O -100
he O -100
was O -100
spot O -100
on O -100
. O -100
He B-ASP -100
chatted O -100
with O -100
us O -100
for O -100
awhile O -100
and O -100
it O -100
was O -100
most O -100
enjoyable O -100
. O -100
Cannot O -100
wait O -100
to O -100
go O -100
back O -100
! O -100
Pros O -100
: O -100
everything O -100
Cons O -100
: O -100
need O -100
more O -100
friends O -100
so O -100
we O -100
can O -100
order O -100
more O -100
variety O -100
: O -100
) O -100

Sooooo O -100
happy O -100
we O -100
found O -100
this O -100
place O -100
. O -100
I O -100
have O -100
been O -100
wanting O -100
to O -100
go O -100
for O -100
awhile O -100
but O -100
Husband O -100
( O -100
never O -100
having O -100
had O -100
tapas O -100
) O -100
was O -100
resistant O -100
( O -100
although O -100
he O -100
loves O -100
seafood O -100
, O -100
rice O -100
and O -100
ham O -100
go O -100
figure O -100
! O -100
) O -100
. O -100
Thanks O -100
goodness O -100
for O -100
the O -100
power O -100
outage O -100
last O -100
week O -100
! O -100
I O -100
convinced O -100
him O -100
to O -100
go O -100
here O -100
( O -100
" O -100
like O -100
dim O -100
sum O -100
honey O -100
only O -100
Spanish O -100
food O -100
. O -100
. O -100
. O -100
you O -100
know O -100
, O -100
like O -100
jamon O -100
? O -100
? O -100
? O -100
! O -100
! O -100
! O -100
" O -100
) O -100
. O -100
From O -100
the O -100
phone O -100
call O -100
to O -100
see O -100
if O -100
they O -100
were O -100
open O -100
to O -100
the O -100
moment O -100
we O -100
walked O -100
in O -100
, O -100
we O -100
felt O -100
welcomed O -100
and O -100
the O -100
friendliness B-ASP -100
was O -100
obviously O -100
sincere O -100
. O -100
The O -100
place O -100
does O -100
look O -100
like O -100
a O -100
veritable O -100
tapas O -100
bar O -100
( O -100
memories O -100
of O -100
Spain O -100
) O -100
. O -100
The O -100
menu B-ASP -100
was O -100
everything O -100
I O -100
had O -100
hoped O -100
. O -100
Fortunately O -100
Karly B-ASP Positive
( O -100
or O -100
Carly O -100
? O -100
) O -100
was O -100
very O -100
helpful O -100
and O -100
we O -100
managed O -100
to O -100
choose O -100
some O -100
top O -100
notch O -100
tapas O -100
( O -100
although O -100
I O -100
can O -100
' O -100
t O -100
imagine O -100
anything O -100
here O -100
not O -100
being O -100
delish O -100
) O -100
. O -100
After O -100
our O -100
meal O -100
, O -100
Pepe O -100
suggested O -100
a O -100
sherry O -100
for O -100
desert O -100
and O -100
he O -100
was O -100
spot O -100
on O -100
. O -100
He B-ASP -100
chatted O -100
with O -100
us O -100
for O -100
awhile O -100
and O -100
it O -100
was O -100
most O -100
enjoyable O -100
. O -100
Cannot O -100
wait O -100
to O -100
go O -100
back O -100
! O -100
Pros O -100
: O -100
everything O -100
Cons O -100
: O -100
need O -100
more O -100
friends O -100
so O -100
we O -100
can O -100
order O -100
more O -100
variety O -100
: O -100
) O -100

Sooooo O -100
happy O -100
we O -100
found O -100
this O -100
place O -100
. O -100
I O -100
have O -100
been O -100
wanting O -100
to O -100
go O -100
for O -100
awhile O -100
but O -100
Husband O -100
( O -100
never O -100
having O -100
had O -100
tapas O -100
) O -100
was O -100
resistant O -100
( O -100
although O -100
he O -100
loves O -100
seafood O -100
, O -100
rice O -100
and O -100
ham O -100
go O -100
figure O -100
! O -100
) O -100
. O -100
Thanks O -100
goodness O -100
for O -100
the O -100
power O -100
outage O -100
last O -100
week O -100
! O -100
I O -100
convinced O -100
him O -100
to O -100
go O -100
here O -100
( O -100
" O -100
like O -100
dim O -100
sum O -100
honey O -100
only O -100
Spanish O -100
food O -100
. O -100
. O -100
. O -100
you O -100
know O -100
, O -100
like O -100
jamon O -100
? O -100
? O -100
? O -100
! O -100
! O -100
! O -100
" O -100
) O -100
. O -100
From O -100
the O -100
phone O -100
call O -100
to O -100
see O -100
if O -100
they O -100
were O -100
open O -100
to O -100
the O -100
moment O -100
we O -100
walked O -100
in O -100
, O -100
we O -100
felt O -100
welcomed O -100
and O -100
the O -100
friendliness B-ASP -100
was O -100
obviously O -100
sincere O -100
. O -100
The O -100
place O -100
does O -100
look O -100
like O -100
a O -100
veritable O -100
tapas O -100
bar O -100
( O -100
memories O -100
of O -100
Spain O -100
) O -100
. O -100
The O -100
menu B-ASP -100
was O -100
everything O -100
I O -100
had O -100
hoped O -100
. O -100
Fortunately O -100
Karly B-ASP -100
( O -100
or O -100
Carly O -100
? O -100
) O -100
was O -100
very O -100
helpful O -100
and O -100
we O -100
managed O -100
to O -100
choose O -100
some O -100
top O -100
notch O -100
tapas O -100
( O -100
although O -100
I O -100
can O -100
' O -100
t O -100
imagine O -100
anything O -100
here O -100
not O -100
being O -100
delish O -100
) O -100
. O -100
After O -100
our O -100
meal O -100
, O -100
Pepe O -100
suggested O -100
a O -100
sherry O -100
for O -100
desert O -100
and O -100
he O -100
was O -100
spot O -100
on O -100
. O -100
He B-ASP Positive
chatted O -100
with O -100
us O -100
for O -100
awhile O -100
and O -100
it O -100
was O -100
most O -100
enjoyable O -100
. O -100
Cannot O -100
wait O -100
to O -100
go O -100
back O -100
! O -100
Pros O -100
: O -100
everything O -100
Cons O -100
: O -100
need O -100
more O -100
friends O -100
so O -100
we O -100
can O -100
order O -100
more O -100
variety O -100
: O -100
) O -100

Hard O -100
to O -100
find O -100
good O -100
interior O -100
Mexican O -100
food O -100
around O -100
here O -100
. O -100
I O -100
had O -100
the O -100
pescado B-ASP Positive
yucatano I-ASP Positive
. O -100
So O -100
delicious O -100
. O -100
Everyone O -100
else O -100
enjoyed O -100
their O -100
tex O -100
mex O -100
. O -100
Reasonable O -100
prices B-ASP -100
, O -100
too O -100
! O -100

Hard O -100
to O -100
find O -100
good O -100
interior O -100
Mexican O -100
food O -100
around O -100
here O -100
. O -100
I O -100
had O -100
the O -100
pescado B-ASP -100
yucatano I-ASP -100
. O -100
So O -100
delicious O -100
. O -100
Everyone O -100
else O -100
enjoyed O -100
their O -100
tex O -100
mex O -100
. O -100
Reasonable O -100
prices B-ASP Neutral
, O -100
too O -100
! O -100

Super O -100
fun O -100
bar O -100
with O -100
great O -100
beer B-ASP Positive
and O -100
a O -100
lively O -100
atmosphere B-ASP -100
. O -100
I O -100
went O -100
on O -100
a O -100
Friday O -100
night O -100
with O -100
friends O -100
and O -100
saw O -100
multiple O -100
live O -100
music O -100
performances O -100
. O -100
We O -100
had O -100
to O -100
wait O -100
in O -100
line B-ASP -100
for O -100
a O -100
little O -100
while O -100
but O -100
the O -100
man O -100
at O -100
the O -100
front O -100
made O -100
it O -100
go O -100
by O -100
quicker O -100
by O -100
asking O -100
us O -100
trivia O -100
questions O -100
. O -100
There O -100
was O -100
a O -100
fair O -100
amount O -100
of O -100
seating O -100
and O -100
my O -100
group O -100
of O -100
6 O -100
didn O -100
' O -100
t O -100
have O -100
trouble O -100
finding O -100
a O -100
table O -100
. O -100
I O -100
got O -100
the O -100
sour O -100
guava O -100
for O -100
my O -100
first O -100
drink B-ASP -100
which O -100
I O -100
enjoyed O -100
. O -100
The O -100
second O -100
I O -100
had O -100
was O -100
their O -100
milk B-ASP -100
stout I-ASP -100
. O -100
It O -100
was O -100
fine O -100
but O -100
I O -100
can O -100
say O -100
I O -100
' O -100
ve O -100
had O -100
better O -100
. O -100
I O -100
really O -100
liked O -100
their O -100
' O -100
bevi O -100
' O -100
station O -100
with O -100
sparkling O -100
and O -100
still O -100
water O -100
with O -100
different O -100
flavors O -100
, O -100
it O -100
was O -100
a O -100
nice O -100
touch O -100
. O -100
Some O -100
things O -100
I O -100
didn O -100
' O -100
t O -100
take O -100
advantage O -100
of O -100
was O -100
the O -100
chocolate O -100
bar O -100
, O -100
the O -100
arcade O -100
games O -100
, O -100
or O -100
the O -100
tasting O -100
room O -100
restaurant O -100
in O -100
the O -100
back O -100
, O -100
but O -100
definitely O -100
things O -100
I O -100
want O -100
to O -100
try O -100
next O -100
time O -100
I O -100
' O -100
m O -100
there O -100
! O -100

Super O -100
fun O -100
bar O -100
with O -100
great O -100
beer B-ASP -100
and O -100
a O -100
lively O -100
atmosphere B-ASP Positive
. O -100
I O -100
went O -100
on O -100
a O -100
Friday O -100
night O -100
with O -100
friends O -100
and O -100
saw O -100
multiple O -100
live O -100
music O -100
performances O -100
. O -100
We O -100
had O -100
to O -100
wait O -100
in O -100
line B-ASP -100
for O -100
a O -100
little O -100
while O -100
but O -100
the O -100
man O -100
at O -100
the O -100
front O -100
made O -100
it O -100
go O -100
by O -100
quicker O -100
by O -100
asking O -100
us O -100
trivia O -100
questions O -100
. O -100
There O -100
was O -100
a O -100
fair O -100
amount O -100
of O -100
seating O -100
and O -100
my O -100
group O -100
of O -100
6 O -100
didn O -100
' O -100
t O -100
have O -100
trouble O -100
finding O -100
a O -100
table O -100
. O -100
I O -100
got O -100
the O -100
sour O -100
guava O -100
for O -100
my O -100
first O -100
drink B-ASP -100
which O -100
I O -100
enjoyed O -100
. O -100
The O -100
second O -100
I O -100
had O -100
was O -100
their O -100
milk B-ASP -100
stout I-ASP -100
. O -100
It O -100
was O -100
fine O -100
but O -100
I O -100
can O -100
say O -100
I O -100
' O -100
ve O -100
had O -100
better O -100
. O -100
I O -100
really O -100
liked O -100
their O -100
' O -100
bevi O -100
' O -100
station O -100
with O -100
sparkling O -100
and O -100
still O -100
water O -100
with O -100
different O -100
flavors O -100
, O -100
it O -100
was O -100
a O -100
nice O -100
touch O -100
. O -100
Some O -100
things O -100
I O -100
didn O -100
' O -100
t O -100
take O -100
advantage O -100
of O -100
was O -100
the O -100
chocolate O -100
bar O -100
, O -100
the O -100
arcade O -100
games O -100
, O -100
or O -100
the O -100
tasting O -100
room O -100
restaurant O -100
in O -100
the O -100
back O -100
, O -100
but O -100
definitely O -100
things O -100
I O -100
want O -100
to O -100
try O -100
next O -100
time O -100
I O -100
' O -100
m O -100
there O -100
! O -100

Super O -100
fun O -100
bar O -100
with O -100
great O -100
beer B-ASP -100
and O -100
a O -100
lively O -100
atmosphere B-ASP -100
. O -100
I O -100
went O -100
on O -100
a O -100
Friday O -100
night O -100
with O -100
friends O -100
and O -100
saw O -100
multiple O -100
live O -100
music O -100
performances O -100
. O -100
We O -100
had O -100
to O -100
wait O -100
in O -100
line B-ASP Positive
for O -100
a O -100
little O -100
while O -100
but O -100
the O -100
man O -100
at O -100
the O -100
front O -100
made O -100
it O -100
go O -100
by O -100
quicker O -100
by O -100
asking O -100
us O -100
trivia O -100
questions O -100
. O -100
There O -100
was O -100
a O -100
fair O -100
amount O -100
of O -100
seating O -100
and O -100
my O -100
group O -100
of O -100
6 O -100
didn O -100
' O -100
t O -100
have O -100
trouble O -100
finding O -100
a O -100
table O -100
. O -100
I O -100
got O -100
the O -100
sour O -100
guava O -100
for O -100
my O -100
first O -100
drink B-ASP -100
which O -100
I O -100
enjoyed O -100
. O -100
The O -100
second O -100
I O -100
had O -100
was O -100
their O -100
milk B-ASP -100
stout I-ASP -100
. O -100
It O -100
was O -100
fine O -100
but O -100
I O -100
can O -100
say O -100
I O -100
' O -100
ve O -100
had O -100
better O -100
. O -100
I O -100
really O -100
liked O -100
their O -100
' O -100
bevi O -100
' O -100
station O -100
with O -100
sparkling O -100
and O -100
still O -100
water O -100
with O -100
different O -100
flavors O -100
, O -100
it O -100
was O -100
a O -100
nice O -100
touch O -100
. O -100
Some O -100
things O -100
I O -100
didn O -100
' O -100
t O -100
take O -100
advantage O -100
of O -100
was O -100
the O -100
chocolate O -100
bar O -100
, O -100
the O -100
arcade O -100
games O -100
, O -100
or O -100
the O -100
tasting O -100
room O -100
restaurant O -100
in O -100
the O -100
back O -100
, O -100
but O -100
definitely O -100
things O -100
I O -100
want O -100
to O -100
try O -100
next O -100
time O -100
I O -100
' O -100
m O -100
there O -100
! O -100

Super O -100
fun O -100
bar O -100
with O -100
great O -100
beer B-ASP -100
and O -100
a O -100
lively O -100
atmosphere B-ASP -100
. O -100
I O -100
went O -100
on O -100
a O -100
Friday O -100
night O -100
with O -100
friends O -100
and O -100
saw O -100
multiple O -100
live O -100
music O -100
performances O -100
. O -100
We O -100
had O -100
to O -100
wait O -100
in O -100
line B-ASP -100
for O -100
a O -100
little O -100
while O -100
but O -100
the O -100
man O -100
at O -100
the O -100
front O -100
made O -100
it O -100
go O -100
by O -100
quicker O -100
by O -100
asking O -100
us O -100
trivia O -100
questions O -100
. O -100
There O -100
was O -100
a O -100
fair O -100
amount O -100
of O -100
seating O -100
and O -100
my O -100
group O -100
of O -100
6 O -100
didn O -100
' O -100
t O -100
have O -100
trouble O -100
finding O -100
a O -100
table O -100
. O -100
I O -100
got O -100
the O -100
sour O -100
guava O -100
for O -100
my O -100
first O -100
drink B-ASP Positive
which O -100
I O -100
enjoyed O -100
. O -100
The O -100
second O -100
I O -100
had O -100
was O -100
their O -100
milk B-ASP -100
stout I-ASP -100
. O -100
It O -100
was O -100
fine O -100
but O -100
I O -100
can O -100
say O -100
I O -100
' O -100
ve O -100
had O -100
better O -100
. O -100
I O -100
really O -100
liked O -100
their O -100
' O -100
bevi O -100
' O -100
station O -100
with O -100
sparkling O -100
and O -100
still O -100
water O -100
with O -100
different O -100
flavors O -100
, O -100
it O -100
was O -100
a O -100
nice O -100
touch O -100
. O -100
Some O -100
things O -100
I O -100
didn O -100
' O -100
t O -100
take O -100
advantage O -100
of O -100
was O -100
the O -100
chocolate O -100
bar O -100
, O -100
the O -100
arcade O -100
games O -100
, O -100
or O -100
the O -100
tasting O -100
room O -100
restaurant O -100
in O -100
the O -100
back O -100
, O -100
but O -100
definitely O -100
things O -100
I O -100
want O -100
to O -100
try O -100
next O -100
time O -100
I O -100
' O -100
m O -100
there O -100
! O -100

Super O -100
fun O -100
bar O -100
with O -100
great O -100
beer B-ASP -100
and O -100
a O -100
lively O -100
atmosphere B-ASP -100
. O -100
I O -100
went O -100
on O -100
a O -100
Friday O -100
night O -100
with O -100
friends O -100
and O -100
saw O -100
multiple O -100
live O -100
music O -100
performances O -100
. O -100
We O -100
had O -100
to O -100
wait O -100
in O -100
line B-ASP -100
for O -100
a O -100
little O -100
while O -100
but O -100
the O -100
man O -100
at O -100
the O -100
front O -100
made O -100
it O -100
go O -100
by O -100
quicker O -100
by O -100
asking O -100
us O -100
trivia O -100
questions O -100
. O -100
There O -100
was O -100
a O -100
fair O -100
amount O -100
of O -100
seating O -100
and O -100
my O -100
group O -100
of O -100
6 O -100
didn O -100
' O -100
t O -100
have O -100
trouble O -100
finding O -100
a O -100
table O -100
. O -100
I O -100
got O -100
the O -100
sour O -100
guava O -100
for O -100
my O -100
first O -100
drink B-ASP -100
which O -100
I O -100
enjoyed O -100
. O -100
The O -100
second O -100
I O -100
had O -100
was O -100
their O -100
milk B-ASP Neutral
stout I-ASP Neutral
. O -100
It O -100
was O -100
fine O -100
but O -100
I O -100
can O -100
say O -100
I O -100
' O -100
ve O -100
had O -100
better O -100
. O -100
I O -100
really O -100
liked O -100
their O -100
' O -100
bevi O -100
' O -100
station O -100
with O -100
sparkling O -100
and O -100
still O -100
water O -100
with O -100
different O -100
flavors O -100
, O -100
it O -100
was O -100
a O -100
nice O -100
touch O -100
. O -100
Some O -100
things O -100
I O -100
didn O -100
' O -100
t O -100
take O -100
advantage O -100
of O -100
was O -100
the O -100
chocolate O -100
bar O -100
, O -100
the O -100
arcade O -100
games O -100
, O -100
or O -100
the O -100
tasting O -100
room O -100
restaurant O -100
in O -100
the O -100
back O -100
, O -100
but O -100
definitely O -100
things O -100
I O -100
want O -100
to O -100
try O -100
next O -100
time O -100
I O -100
' O -100
m O -100
there O -100
! O -100

Top O -100
notch O -100
service B-ASP Positive
! O -100
Very O -100
attentive O -100
and O -100
anticipated O -100
all O -100
our O -100
needs B-ASP -100
. O -100
We O -100
had O -100
the O -100
recommended O -100
lava O -100
bread O -100
with O -100
babaganoush O -100
( O -100
to O -100
die O -100
for O -100
! O -100
) O -100
for O -100
an O -100
appetizer O -100
and O -100
then O -100
the O -100
recommended O -100
mixed O -100
platter O -100
for O -100
two O -100
for O -100
$ O -100
35 O -100
. O -100
We O -100
got O -100
a O -100
side O -100
of O -100
cucumber O -100
/ O -100
garlic O -100
tzatziki O -100
and O -100
the O -100
savory O -100
iskander O -100
tomato O -100
sauce O -100
. O -100
Simply O -100
amazing O -100
and O -100
still O -100
leftovers O -100
! O -100
You O -100
have O -100
to O -100
get O -100
the O -100
kunefe O -100
dessert O -100
with O -100
some O -100
Turkish O -100
coffee O -100
( O -100
watch O -100
out O -100
for O -100
the O -100
1 O -100
/ O -100
4 O -100
cup O -100
of O -100
coffee O -100
grinds O -100
at O -100
the O -100
bottoml O -100
lol O -100
) O -100
. O -100
For O -100
the O -100
chocolate O -100
lovers O -100
, O -100
the O -100
chocolate O -100
hazelnut O -100
baklava B-ASP -100
is O -100
delectable O -100
and O -100
rich O -100
. O -100
The O -100
best O -100
time O -100
would O -100
be O -100
to O -100
go O -100
during O -100
happy O -100
hour O -100
with O -100
half O -100
off O -100
drinks O -100
. O -100
Fantastic O -100
! O -100

Top O -100
notch O -100
service B-ASP -100
! O -100
Very O -100
attentive O -100
and O -100
anticipated O -100
all O -100
our O -100
needs B-ASP Positive
. O -100
We O -100
had O -100
the O -100
recommended O -100
lava O -100
bread O -100
with O -100
babaganoush O -100
( O -100
to O -100
die O -100
for O -100
! O -100
) O -100
for O -100
an O -100
appetizer O -100
and O -100
then O -100
the O -100
recommended O -100
mixed O -100
platter O -100
for O -100
two O -100
for O -100
$ O -100
35 O -100
. O -100
We O -100
got O -100
a O -100
side O -100
of O -100
cucumber O -100
/ O -100
garlic O -100
tzatziki O -100
and O -100
the O -100
savory O -100
iskander O -100
tomato O -100
sauce O -100
. O -100
Simply O -100
amazing O -100
and O -100
still O -100
leftovers O -100
! O -100
You O -100
have O -100
to O -100
get O -100
the O -100
kunefe O -100
dessert O -100
with O -100
some O -100
Turkish O -100
coffee O -100
( O -100
watch O -100
out O -100
for O -100
the O -100
1 O -100
/ O -100
4 O -100
cup O -100
of O -100
coffee O -100
grinds O -100
at O -100
the O -100
bottoml O -100
lol O -100
) O -100
. O -100
For O -100
the O -100
chocolate O -100
lovers O -100
, O -100
the O -100
chocolate O -100
hazelnut O -100
baklava B-ASP -100
is O -100
delectable O -100
and O -100
rich O -100
. O -100
The O -100
best O -100
time O -100
would O -100
be O -100
to O -100
go O -100
during O -100
happy O -100
hour O -100
with O -100
half O -100
off O -100
drinks O -100
. O -100
Fantastic O -100
! O -100

Top O -100
notch O -100
service B-ASP -100
! O -100
Very O -100
attentive O -100
and O -100
anticipated O -100
all O -100
our O -100
needs B-ASP -100
. O -100
We O -100
had O -100
the O -100
recommended O -100
lava O -100
bread O -100
with O -100
babaganoush O -100
( O -100
to O -100
die O -100
for O -100
! O -100
) O -100
for O -100
an O -100
appetizer O -100
and O -100
then O -100
the O -100
recommended O -100
mixed O -100
platter O -100
for O -100
two O -100
for O -100
$ O -100
35 O -100
. O -100
We O -100
got O -100
a O -100
side O -100
of O -100
cucumber O -100
/ O -100
garlic O -100
tzatziki O -100
and O -100
the O -100
savory O -100
iskander O -100
tomato O -100
sauce O -100
. O -100
Simply O -100
amazing O -100
and O -100
still O -100
leftovers O -100
! O -100
You O -100
have O -100
to O -100
get O -100
the O -100
kunefe O -100
dessert O -100
with O -100
some O -100
Turkish O -100
coffee O -100
( O -100
watch O -100
out O -100
for O -100
the O -100
1 O -100
/ O -100
4 O -100
cup O -100
of O -100
coffee O -100
grinds O -100
at O -100
the O -100
bottoml O -100
lol O -100
) O -100
. O -100
For O -100
the O -100
chocolate O -100
lovers O -100
, O -100
the O -100
chocolate O -100
hazelnut O -100
baklava B-ASP Positive
is O -100
delectable O -100
and O -100
rich O -100
. O -100
The O -100
best O -100
time O -100
would O -100
be O -100
to O -100
go O -100
during O -100
happy O -100
hour O -100
with O -100
half O -100
off O -100
drinks O -100
. O -100
Fantastic O -100
! O -100

A O -100
good O -100
place O -100
for O -100
a O -100
break O -100
from O -100
the O -100
dining O -100
hall O -100
fare O -100
I O -100
usually O -100
deal O -100
with O -100
@ O -100
Wellesley O -100
. O -100
. O -100
. O -100
. O -100
I O -100
prefer O -100
Cambridge O -100
One O -100
for O -100
the O -100
same O -100
feel O -100
gourmet O -100
pizzas O -100
and O -100
salads O -100
. O -100
It O -100
is O -100
a O -100
nice O -100
casual O -100
dinner B-ASP Positive
in O -100
addition O -100
, O -100
it O -100
is O -100
one O -100
of O -100
the O -100
few O -100
places O -100
in O -100
Wellesley O -100
( O -100
a O -100
dry O -100
town O -100
) O -100
that O -100
has O -100
a O -100
license O -100
to O -100
serve O -100
mixed O -100
drinks B-ASP -100
and O -100
they O -100
are O -100
good O -100
. O -100
The O -100
spicy O -100
chicken O -100
sausage O -100
pizza B-ASP -100
or O -100
blanco B-ASP -100
is O -100
the O -100
way O -100
to O -100
go O -100
. O -100

A O -100
good O -100
place O -100
for O -100
a O -100
break O -100
from O -100
the O -100
dining O -100
hall O -100
fare O -100
I O -100
usually O -100
deal O -100
with O -100
@ O -100
Wellesley O -100
. O -100
. O -100
. O -100
. O -100
I O -100
prefer O -100
Cambridge O -100
One O -100
for O -100
the O -100
same O -100
feel O -100
gourmet O -100
pizzas O -100
and O -100
salads O -100
. O -100
It O -100
is O -100
a O -100
nice O -100
casual O -100
dinner B-ASP -100
in O -100
addition O -100
, O -100
it O -100
is O -100
one O -100
of O -100
the O -100
few O -100
places O -100
in O -100
Wellesley O -100
( O -100
a O -100
dry O -100
town O -100
) O -100
that O -100
has O -100
a O -100
license O -100
to O -100
serve O -100
mixed O -100
drinks B-ASP Positive
and O -100
they O -100
are O -100
good O -100
. O -100
The O -100
spicy O -100
chicken O -100
sausage O -100
pizza B-ASP -100
or O -100
blanco B-ASP -100
is O -100
the O -100
way O -100
to O -100
go O -100
. O -100

A O -100
good O -100
place O -100
for O -100
a O -100
break O -100
from O -100
the O -100
dining O -100
hall O -100
fare O -100
I O -100
usually O -100
deal O -100
with O -100
@ O -100
Wellesley O -100
. O -100
. O -100
. O -100
. O -100
I O -100
prefer O -100
Cambridge O -100
One O -100
for O -100
the O -100
same O -100
feel O -100
gourmet O -100
pizzas O -100
and O -100
salads O -100
. O -100
It O -100
is O -100
a O -100
nice O -100
casual O -100
dinner B-ASP -100
in O -100
addition O -100
, O -100
it O -100
is O -100
one O -100
of O -100
the O -100
few O -100
places O -100
in O -100
Wellesley O -100
( O -100
a O -100
dry O -100
town O -100
) O -100
that O -100
has O -100
a O -100
license O -100
to O -100
serve O -100
mixed O -100
drinks B-ASP -100
and O -100
they O -100
are O -100
good O -100
. O -100
The O -100
spicy O -100
chicken O -100
sausage O -100
pizza B-ASP Positive
or O -100
blanco B-ASP -100
is O -100
the O -100
way O -100
to O -100
go O -100
. O -100

A O -100
good O -100
place O -100
for O -100
a O -100
break O -100
from O -100
the O -100
dining O -100
hall O -100
fare O -100
I O -100
usually O -100
deal O -100
with O -100
@ O -100
Wellesley O -100
. O -100
. O -100
. O -100
. O -100
I O -100
prefer O -100
Cambridge O -100
One O -100
for O -100
the O -100
same O -100
feel O -100
gourmet O -100
pizzas O -100
and O -100
salads O -100
. O -100
It O -100
is O -100
a O -100
nice O -100
casual O -100
dinner B-ASP -100
in O -100
addition O -100
, O -100
it O -100
is O -100
one O -100
of O -100
the O -100
few O -100
places O -100
in O -100
Wellesley O -100
( O -100
a O -100
dry O -100
town O -100
) O -100
that O -100
has O -100
a O -100
license O -100
to O -100
serve O -100
mixed O -100
drinks B-ASP -100
and O -100
they O -100
are O -100
good O -100
. O -100
The O -100
spicy O -100
chicken O -100
sausage O -100
pizza B-ASP -100
or O -100
blanco B-ASP Positive
is O -100
the O -100
way O -100
to O -100
go O -100
. O -100

The O -100
food B-ASP Positive
was O -100
good O -100
and O -100
the O -100
service B-ASP -100
was O -100
exceptional O -100
. O -100
There O -100
were O -100
a O -100
couple O -100
of O -100
snafus B-ASP -100
my O -100
soup O -100
was O -100
taken O -100
to O -100
the O -100
wrong O -100
table O -100
which O -100
the O -100
wait O -100
staff O -100
made O -100
up O -100
for O -100
with O -100
cups O -100
of O -100
another O -100
soup O -100
to O -100
tide O -100
me O -100
over O -100
. O -100
Staff B-ASP -100
was O -100
also O -100
very O -100
sensitive O -100
to O -100
my O -100
food O -100
allergies O -100
, O -100
and O -100
made O -100
sure O -100
there O -100
was O -100
no O -100
cross O -100
contamination O -100
in O -100
the O -100
kitchen O -100
. O -100
I O -100
was O -100
pleasantly O -100
surprised O -100
at O -100
how O -100
well O -100
children O -100
are O -100
accommodated O -100
. O -100
There O -100
' O -100
s O -100
a O -100
dedicated O -100
child O -100
' O -100
s O -100
menu O -100
with O -100
low O -100
cost O -100
( O -100
around O -100
$ O -100
5 O -100
) O -100
entrees O -100
, O -100
and O -100
crayons O -100
for O -100
coloring O -100
. O -100
( O -100
The O -100
kids O -100
' O -100
food B-ASP -100
was I-ASP -100
great O -100
, O -100
too O -100
. O -100
) O -100

The O -100
food B-ASP -100
was O -100
good O -100
and O -100
the O -100
service B-ASP Positive
was O -100
exceptional O -100
. O -100
There O -100
were O -100
a O -100
couple O -100
of O -100
snafus B-ASP -100
my O -100
soup O -100
was O -100
taken O -100
to O -100
the O -100
wrong O -100
table O -100
which O -100
the O -100
wait O -100
staff O -100
made O -100
up O -100
for O -100
with O -100
cups O -100
of O -100
another O -100
soup O -100
to O -100
tide O -100
me O -100
over O -100
. O -100
Staff B-ASP -100
was O -100
also O -100
very O -100
sensitive O -100
to O -100
my O -100
food O -100
allergies O -100
, O -100
and O -100
made O -100
sure O -100
there O -100
was O -100
no O -100
cross O -100
contamination O -100
in O -100
the O -100
kitchen O -100
. O -100
I O -100
was O -100
pleasantly O -100
surprised O -100
at O -100
how O -100
well O -100
children O -100
are O -100
accommodated O -100
. O -100
There O -100
' O -100
s O -100
a O -100
dedicated O -100
child O -100
' O -100
s O -100
menu O -100
with O -100
low O -100
cost O -100
( O -100
around O -100
$ O -100
5 O -100
) O -100
entrees O -100
, O -100
and O -100
crayons O -100
for O -100
coloring O -100
. O -100
( O -100
The O -100
kids O -100
' O -100
food B-ASP -100
was I-ASP -100
great O -100
, O -100
too O -100
. O -100
) O -100

The O -100
food B-ASP -100
was O -100
good O -100
and O -100
the O -100
service B-ASP -100
was O -100
exceptional O -100
. O -100
There O -100
were O -100
a O -100
couple O -100
of O -100
snafus B-ASP Negative
my O -100
soup O -100
was O -100
taken O -100
to O -100
the O -100
wrong O -100
table O -100
which O -100
the O -100
wait O -100
staff O -100
made O -100
up O -100
for O -100
with O -100
cups O -100
of O -100
another O -100
soup O -100
to O -100
tide O -100
me O -100
over O -100
. O -100
Staff B-ASP -100
was O -100
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sensitive O -100
to O -100
my O -100
food O -100
allergies O -100
, O -100
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made O -100
sure O -100
there O -100
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cross O -100
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the O -100
kitchen O -100
. O -100
I O -100
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. O -100
There O -100
' O -100
s O -100
a O -100
dedicated O -100
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' O -100
s O -100
menu O -100
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around O -100
$ O -100
5 O -100
) O -100
entrees O -100
, O -100
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crayons O -100
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coloring O -100
. O -100
( O -100
The O -100
kids O -100
' O -100
food B-ASP -100
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great O -100
, O -100
too O -100
. O -100
) O -100

The O -100
food B-ASP -100
was O -100
good O -100
and O -100
the O -100
service B-ASP -100
was O -100
exceptional O -100
. O -100
There O -100
were O -100
a O -100
couple O -100
of O -100
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my O -100
soup O -100
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the O -100
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the O -100
wait O -100
staff O -100
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another O -100
soup O -100
to O -100
tide O -100
me O -100
over O -100
. O -100
Staff B-ASP Positive
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to O -100
my O -100
food O -100
allergies O -100
, O -100
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made O -100
sure O -100
there O -100
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cross O -100
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in O -100
the O -100
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. O -100
I O -100
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well O -100
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. O -100
There O -100
' O -100
s O -100
a O -100
dedicated O -100
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' O -100
s O -100
menu O -100
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low O -100
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( O -100
around O -100
$ O -100
5 O -100
) O -100
entrees O -100
, O -100
and O -100
crayons O -100
for O -100
coloring O -100
. O -100
( O -100
The O -100
kids O -100
' O -100
food B-ASP -100
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great O -100
, O -100
too O -100
. O -100
) O -100

The O -100
food B-ASP -100
was O -100
good O -100
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the O -100
service B-ASP -100
was O -100
exceptional O -100
. O -100
There O -100
were O -100
a O -100
couple O -100
of O -100
snafus B-ASP -100
my O -100
soup O -100
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taken O -100
to O -100
the O -100
wrong O -100
table O -100
which O -100
the O -100
wait O -100
staff O -100
made O -100
up O -100
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with O -100
cups O -100
of O -100
another O -100
soup O -100
to O -100
tide O -100
me O -100
over O -100
. O -100
Staff B-ASP -100
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my O -100
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, O -100
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there O -100
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in O -100
the O -100
kitchen O -100
. O -100
I O -100
was O -100
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surprised O -100
at O -100
how O -100
well O -100
children O -100
are O -100
accommodated O -100
. O -100
There O -100
' O -100
s O -100
a O -100
dedicated O -100
child O -100
' O -100
s O -100
menu O -100
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low O -100
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( O -100
around O -100
$ O -100
5 O -100
) O -100
entrees O -100
, O -100
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crayons O -100
for O -100
coloring O -100
. O -100
( O -100
The O -100
kids O -100
' O -100
food B-ASP Positive
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great O -100
, O -100
too O -100
. O -100
) O -100

I O -100
' O -100
m O -100
going O -100
up O -100
update O -100
my O -100
review O -100
to O -100
5 O -100
stars O -100
. O -100
The O -100
restaurant O -100
has O -100
updated O -100
the O -100
menu B-ASP Positive
and O -100
it O -100
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the O -100
best O -100
of O -100
both O -100
worlds O -100
more O -100
like O -100
the O -100
old O -100
Castle O -100
Hill O -100
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a O -100
lot O -100
of O -100
the O -100
new O -100
favorites O -100
still O -100
on O -100
the O -100
menu O -100
. O -100
The O -100
service B-ASP -100
is O -100
excellent O -100
with O -100
experienced O -100
professional O -100
servers O -100
. O -100
The O -100
food B-ASP -100
is O -100
always O -100
consistent O -100
. O -100

I O -100
' O -100
m O -100
going O -100
up O -100
update O -100
my O -100
review O -100
to O -100
5 O -100
stars O -100
. O -100
The O -100
restaurant O -100
has O -100
updated O -100
the O -100
menu B-ASP -100
and O -100
it O -100
is O -100
the O -100
best O -100
of O -100
both O -100
worlds O -100
more O -100
like O -100
the O -100
old O -100
Castle O -100
Hill O -100
with O -100
a O -100
lot O -100
of O -100
the O -100
new O -100
favorites O -100
still O -100
on O -100
the O -100
menu O -100
. O -100
The O -100
service B-ASP Positive
is O -100
excellent O -100
with O -100
experienced O -100
professional O -100
servers O -100
. O -100
The O -100
food B-ASP -100
is O -100
always O -100
consistent O -100
. O -100

I O -100
' O -100
m O -100
going O -100
up O -100
update O -100
my O -100
review O -100
to O -100
5 O -100
stars O -100
. O -100
The O -100
restaurant O -100
has O -100
updated O -100
the O -100
menu B-ASP -100
and O -100
it O -100
is O -100
the O -100
best O -100
of O -100
both O -100
worlds O -100
more O -100
like O -100
the O -100
old O -100
Castle O -100
Hill O -100
with O -100
a O -100
lot O -100
of O -100
the O -100
new O -100
favorites O -100
still O -100
on O -100
the O -100
menu O -100
. O -100
The O -100
service B-ASP -100
is O -100
excellent O -100
with O -100
experienced O -100
professional O -100
servers O -100
. O -100
The O -100
food B-ASP Positive
is O -100
always O -100
consistent O -100
. O -100

Had O -100
a O -100
amazing O -100
dinner O -100
. O -100
Price O -100
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on O -100
point O -100
nothing O -100
over O -100
the O -100
top O -100
. O -100
Food B-ASP Positive
quality O -100
was O -100
great O -100
. O -100
Only O -100
thing O -100
was O -100
they O -100
were O -100
so O -100
busy O -100
that O -100
service B-ASP -100
was O -100
hard O -100
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still O -100
wasn O -100
' O -100
t O -100
to O -100
a O -100
point O -100
that O -100
is O -100
bad O -100
. O -100
The O -100
lobster B-ASP -100
was O -100
yummy O -100
and O -100
so O -100
was O -100
the O -100
sides B-ASP -100
. O -100

Had O -100
a O -100
amazing O -100
dinner O -100
. O -100
Price O -100
was O -100
on O -100
point O -100
nothing O -100
over O -100
the O -100
top O -100
. O -100
Food B-ASP -100
quality O -100
was O -100
great O -100
. O -100
Only O -100
thing O -100
was O -100
they O -100
were O -100
so O -100
busy O -100
that O -100
service B-ASP Negative
was O -100
hard O -100
but O -100
still O -100
wasn O -100
' O -100
t O -100
to O -100
a O -100
point O -100
that O -100
is O -100
bad O -100
. O -100
The O -100
lobster B-ASP -100
was O -100
yummy O -100
and O -100
so O -100
was O -100
the O -100
sides B-ASP -100
. O -100

Had O -100
a O -100
amazing O -100
dinner O -100
. O -100
Price O -100
was O -100
on O -100
point O -100
nothing O -100
over O -100
the O -100
top O -100
. O -100
Food B-ASP -100
quality O -100
was O -100
great O -100
. O -100
Only O -100
thing O -100
was O -100
they O -100
were O -100
so O -100
busy O -100
that O -100
service B-ASP -100
was O -100
hard O -100
but O -100
still O -100
wasn O -100
' O -100
t O -100
to O -100
a O -100
point O -100
that O -100
is O -100
bad O -100
. O -100
The O -100
lobster B-ASP Positive
was O -100
yummy O -100
and O -100
so O -100
was O -100
the O -100
sides B-ASP -100
. O -100

Had O -100
a O -100
amazing O -100
dinner O -100
. O -100
Price O -100
was O -100
on O -100
point O -100
nothing O -100
over O -100
the O -100
top O -100
. O -100
Food B-ASP -100
quality O -100
was O -100
great O -100
. O -100
Only O -100
thing O -100
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they O -100
were O -100
so O -100
busy O -100
that O -100
service B-ASP -100
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still O -100
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' O -100
t O -100
to O -100
a O -100
point O -100
that O -100
is O -100
bad O -100
. O -100
The O -100
lobster B-ASP -100
was O -100
yummy O -100
and O -100
so O -100
was O -100
the O -100
sides B-ASP Positive
. O -100

I O -100
shall O -100
give O -100
3 O -100
. O -100
5 O -100
stars O -100
. O -100
The O -100
dining O -100
environment O -100
is O -100
great O -100
and O -100
you O -100
can O -100
tell O -100
how O -100
food O -100
is O -100
cooked O -100
by O -100
sitting O -100
on O -100
the O -100
bar O -100
seats O -100
. O -100
The O -100
food O -100
is O -100
nice O -100
but O -100
a O -100
little O -100
salty O -100
. O -100
Other O -100
is O -100
good O -100
. O -100
We O -100
went O -100
there O -100
for O -100
restaurant O -100
week O -100
and O -100
had O -100
an O -100
amazing O -100
experience O -100
. O -100
The O -100
service B-ASP Positive
was O -100
among O -100
the O -100
best O -100
I O -100
' O -100
ve O -100
ever O -100
experienced O -100
and O -100
the O -100
food O -100
was O -100
also O -100
incredible O -100
. O -100
They O -100
were O -100
able O -100
to O -100
accommodate O -100
many O -100
allergies O -100
and O -100
food O -100
preferences O -100
at O -100
my O -100
table O -100
without O -100
any O -100
problems O -100
. O -100

We O -100
went O -100
there O -100
for O -100
restaurant O -100
week O -100
and O -100
had O -100
an O -100
amazing O -100
experience O -100
. O -100
The O -100
service O -100
was O -100
among O -100
the O -100
best O -100
I O -100
' O -100
ve O -100
ever O -100
experienced O -100
and O -100
the O -100
food O -100
was O -100
also O -100
incredible O -100
. O -100
They B-ASP Positive
were O -100
able O -100
to O -100
accommodate O -100
many O -100
allergies O -100
and O -100
food O -100
preferences O -100
at O -100
my O -100
table O -100
without O -100
any O -100
problems O -100
. O -100

The O -100
Jajangmyeon O -100
noodles B-ASP Positive
entree O -100
is O -100
decent O -100
. O -100
The O -100
service B-ASP -100
is O -100
poor O -100
. O -100
I O -100
will O -100
not O -100
be O -100
returning O -100
. O -100

The O -100
Jajangmyeon O -100
noodles B-ASP -100
entree O -100
is O -100
decent O -100
. O -100
The O -100
service B-ASP Negative
is O -100
poor O -100
. O -100
I O -100
will O -100
not O -100
be O -100
returning O -100
. O -100

Went O -100
there O -100
last O -100
night O -100
and O -100
was O -100
disappointed O -100
again O -100
! O -100
How O -100
hard O -100
is O -100
it O -100
to O -100
take O -100
and O -100
order B-ASP Negative
and O -100
fill O -100
it O -100
? O -100
All O -100
we O -100
asked O -100
for O -100
was O -100
a O -100
salad O -100
and O -100
a O -100
pizza O -100
and O -100
for O -100
the O -100
second O -100
time O -100
in O -100
a O -100
row O -100
, O -100
no O -100
salad O -100
arrived B-ASP -100
. O -100
At O -100
least O -100
they O -100
didn O -100
' O -100
t O -100
put O -100
it O -100
on O -100
the O -100
bill O -100
this O -100
time O -100
. O -100
I O -100
can O -100
understand O -100
if O -100
the O -100
place O -100
is O -100
jamming O -100
, O -100
but O -100
it O -100
was O -100
dead O -100
in O -100
there O -100
at O -100
8 O -100
PM O -100
. O -100
Maybe O -100
the O -100
staff B-ASP -100
should O -100
spend O -100
less O -100
time O -100
hanging O -100
out O -100
together O -100
behind O -100
the O -100
bar O -100
, O -100
flexing O -100
, O -100
talking O -100
about O -100
drinking O -100
and O -100
plans O -100
for O -100
later O -100
and O -100
spend O -100
some O -100
time O -100
doing O -100
their O -100
jobs O -100
. O -100
And O -100
the O -100
pizza B-ASP -100
was O -100
only O -100
fair O -100
, O -100
not O -100
the O -100
usual O -100
excellent O -100
. O -100
Not O -100
a O -100
good O -100
showing O -100
last O -100
night O -100
. O -100
It O -100
will O -100
be O -100
a O -100
long O -100
time O -100
before O -100
we O -100
return O -100
, O -100
if O -100
we O -100
do O -100
return O -100
. O -100
Great O -100
pizza O -100
can O -100
overcome O -100
poor O -100
service O -100
, O -100
but O -100
fair O -100
pizza O -100
and O -100
poor O -100
service O -100
? O -100
That O -100
' O -100
s O -100
a O -100
tough O -100
sell O -100
. O -100

Went O -100
there O -100
last O -100
night O -100
and O -100
was O -100
disappointed O -100
again O -100
! O -100
How O -100
hard O -100
is O -100
it O -100
to O -100
take O -100
and O -100
order B-ASP -100
and O -100
fill O -100
it O -100
? O -100
All O -100
we O -100
asked O -100
for O -100
was O -100
a O -100
salad O -100
and O -100
a O -100
pizza O -100
and O -100
for O -100
the O -100
second O -100
time O -100
in O -100
a O -100
row O -100
, O -100
no O -100
salad O -100
arrived B-ASP Negative
. O -100
At O -100
least O -100
they O -100
didn O -100
' O -100
t O -100
put O -100
it O -100
on O -100
the O -100
bill O -100
this O -100
time O -100
. O -100
I O -100
can O -100
understand O -100
if O -100
the O -100
place O -100
is O -100
jamming O -100
, O -100
but O -100
it O -100
was O -100
dead O -100
in O -100
there O -100
at O -100
8 O -100
PM O -100
. O -100
Maybe O -100
the O -100
staff B-ASP -100
should O -100
spend O -100
less O -100
time O -100
hanging O -100
out O -100
together O -100
behind O -100
the O -100
bar O -100
, O -100
flexing O -100
, O -100
talking O -100
about O -100
drinking O -100
and O -100
plans O -100
for O -100
later O -100
and O -100
spend O -100
some O -100
time O -100
doing O -100
their O -100
jobs O -100
. O -100
And O -100
the O -100
pizza B-ASP -100
was O -100
only O -100
fair O -100
, O -100
not O -100
the O -100
usual O -100
excellent O -100
. O -100
Not O -100
a O -100
good O -100
showing O -100
last O -100
night O -100
. O -100
It O -100
will O -100
be O -100
a O -100
long O -100
time O -100
before O -100
we O -100
return O -100
, O -100
if O -100
we O -100
do O -100
return O -100
. O -100
Great O -100
pizza O -100
can O -100
overcome O -100
poor O -100
service O -100
, O -100
but O -100
fair O -100
pizza O -100
and O -100
poor O -100
service O -100
? O -100
That O -100
' O -100
s O -100
a O -100
tough O -100
sell O -100
. O -100

Went O -100
there O -100
last O -100
night O -100
and O -100
was O -100
disappointed O -100
again O -100
! O -100
How O -100
hard O -100
is O -100
it O -100
to O -100
take O -100
and O -100
order B-ASP -100
and O -100
fill O -100
it O -100
? O -100
All O -100
we O -100
asked O -100
for O -100
was O -100
a O -100
salad O -100
and O -100
a O -100
pizza O -100
and O -100
for O -100
the O -100
second O -100
time O -100
in O -100
a O -100
row O -100
, O -100
no O -100
salad O -100
arrived B-ASP -100
. O -100
At O -100
least O -100
they O -100
didn O -100
' O -100
t O -100
put O -100
it O -100
on O -100
the O -100
bill O -100
this O -100
time O -100
. O -100
I O -100
can O -100
understand O -100
if O -100
the O -100
place O -100
is O -100
jamming O -100
, O -100
but O -100
it O -100
was O -100
dead O -100
in O -100
there O -100
at O -100
8 O -100
PM O -100
. O -100
Maybe O -100
the O -100
staff B-ASP Negative
should O -100
spend O -100
less O -100
time O -100
hanging O -100
out O -100
together O -100
behind O -100
the O -100
bar O -100
, O -100
flexing O -100
, O -100
talking O -100
about O -100
drinking O -100
and O -100
plans O -100
for O -100
later O -100
and O -100
spend O -100
some O -100
time O -100
doing O -100
their O -100
jobs O -100
. O -100
And O -100
the O -100
pizza B-ASP -100
was O -100
only O -100
fair O -100
, O -100
not O -100
the O -100
usual O -100
excellent O -100
. O -100
Not O -100
a O -100
good O -100
showing O -100
last O -100
night O -100
. O -100
It O -100
will O -100
be O -100
a O -100
long O -100
time O -100
before O -100
we O -100
return O -100
, O -100
if O -100
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Went O -100
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. O -100
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. O -100
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be O -100
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keep O -100
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mind O -100
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. O -100
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( O -100
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potato O -100
salad O -100
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) O -100
, O -100
rice O -100
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pork O -100
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night O -100
a O -100
singer O -100
with O -100
a O -100
beautiful O -100
voice O -100
and O -100
a O -100
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offering O -100
up O -100
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, O -100
as O -100
well O -100
as O -100
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. O -100
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four O -100
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, O -100
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. O -100
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. O -100
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, O -100
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can O -100
be O -100
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, O -100
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keep O -100
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mind O -100
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the O -100
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A O -100
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. O -100
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the O -100
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, O -100
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( O -100
the O -100
potato O -100
salad O -100
was O -100
my O -100
favorite O -100
) O -100
, O -100
rice O -100
and O -100
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, O -100
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. O -100
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ranging O -100
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chicken O -100
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, O -100
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on O -100
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night O -100
a O -100
singer O -100
with O -100
a O -100
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voice O -100
and O -100
a O -100
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, O -100
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. O -100
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meat B-ASP -100
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ve O -100
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four O -100
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. O -100

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, O -100
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. O -100
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, O -100
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night O -100
a O -100
singer O -100
with O -100
a O -100
beautiful O -100
voice O -100
and O -100
a O -100
talented O -100
guitar O -100
player O -100
offering O -100
up O -100
traditional O -100
songs O -100
, O -100
as O -100
well O -100
as O -100
their O -100
gorgeous O -100
arrangements O -100
of O -100
pop O -100
songs O -100
like O -100
Rock O -100
with O -100
You O -100
, O -100
Come O -100
Away O -100
With O -100
Me O -100
, O -100
and O -100
Hotel O -100
California O -100
. O -100
Highlight O -100
of O -100
the O -100
evening O -100
was O -100
absolutely O -100
Tears O -100
in O -100
Heaven O -100
. O -100
There O -100
' O -100
s O -100
ample O -100
parking O -100
behind O -100
the O -100
restaurant O -100
and O -100
it O -100
' O -100
s O -100
located O -100
conveniently O -100
in O -100
downtown O -100
Everett O -100
. O -100
The O -100
value O -100
is O -100
tremendous O -100
here O -100
for O -100
the O -100
amount O -100
of O -100
succulent O -100
meat B-ASP -100
and O -100
I O -100
' O -100
ve O -100
paid O -100
four O -100
times O -100
as O -100
much O -100
for O -100
less O -100
of O -100
an O -100
experience O -100
. O -100
I O -100
will O -100
definitely O -100
be O -100
back O -100
. O -100

Finally O -100
, O -100
a O -100
non O -100
threatening O -100
and O -100
reasonably O -100
priced O -100
Brazilian O -100
BBQ B-ASP -100
! O -100
You O -100
have O -100
two O -100
options O -100
here O -100
: O -100
all O -100
you O -100
can O -100
eat O -100
for O -100
$ O -100
12 O -100
and O -100
change O -100
or O -100
pay O -100
by O -100
the O -100
pound O -100
. O -100
The O -100
unlimited O -100
option B-ASP -100
was O -100
definitely O -100
the O -100
way O -100
to O -100
go O -100
. O -100
Now O -100
, O -100
buffets O -100
can O -100
be O -100
tempting O -100
, O -100
but O -100
keep O -100
in O -100
mind O -100
that O -100
the O -100
best O -100
stuff O -100
comes O -100
right O -100
to O -100
your O -100
table O -100
ON O -100
A O -100
SWORD O -100
. O -100
We O -100
filled O -100
up O -100
our O -100
plates O -100
with O -100
samplings O -100
from O -100
the O -100
buffet O -100
, O -100
from O -100
various O -100
salads O -100
( O -100
the O -100
potato O -100
salad O -100
was O -100
my O -100
favorite O -100
) O -100
, O -100
rice O -100
and O -100
beans O -100
, O -100
and O -100
a O -100
gigantic O -100
french O -100
fry O -100
. O -100
The O -100
fun O -100
begins O -100
when O -100
the O -100
skewers O -100
of O -100
meat O -100
begin O -100
to O -100
arrive O -100
, O -100
ranging O -100
from O -100
chicken O -100
wrapped O -100
in O -100
bacon O -100
to O -100
pork O -100
ribs O -100
, O -100
chicken O -100
sausage O -100
, O -100
and O -100
top O -100
sirloin O -100
. O -100
There O -100
' O -100
s O -100
a O -100
definite O -100
joy O -100
in O -100
grabbing O -100
the O -100
meat B-ASP -100
as O -100
it O -100
falls O -100
off O -100
from O -100
being O -100
cut O -100
and O -100
tasting O -100
as O -100
much O -100
as O -100
possible O -100
. O -100
Be O -100
sure O -100
to O -100
pace O -100
yourself O -100
; O -100
this O -100
place O -100
is O -100
extremely O -100
laid O -100
back O -100
, O -100
there O -100
' O -100
s O -100
no O -100
card O -100
to O -100
flip O -100
over O -100
to O -100
tell O -100
them O -100
to O -100
bring O -100
meat O -100
and O -100
they O -100
' O -100
ll O -100
keep O -100
serving B-ASP -100
you O -100
for O -100
as O -100
long O -100
as O -100
you O -100
' O -100
d O -100
like O -100
. O -100
A O -100
special O -100
bonus O -100
was O -100
the O -100
live O -100
music B-ASP Positive
on O -100
Friday O -100
night O -100
a O -100
singer O -100
with O -100
a O -100
beautiful O -100
voice O -100
and O -100
a O -100
talented O -100
guitar O -100
player O -100
offering O -100
up O -100
traditional O -100
songs O -100
, O -100
as O -100
well O -100
as O -100
their O -100
gorgeous O -100
arrangements O -100
of O -100
pop O -100
songs O -100
like O -100
Rock O -100
with O -100
You O -100
, O -100
Come O -100
Away O -100
With O -100
Me O -100
, O -100
and O -100
Hotel O -100
California O -100
. O -100
Highlight O -100
of O -100
the O -100
evening O -100
was O -100
absolutely O -100
Tears O -100
in O -100
Heaven O -100
. O -100
There O -100
' O -100
s O -100
ample O -100
parking O -100
behind O -100
the O -100
restaurant O -100
and O -100
it O -100
' O -100
s O -100
located O -100
conveniently O -100
in O -100
downtown O -100
Everett O -100
. O -100
The O -100
value O -100
is O -100
tremendous O -100
here O -100
for O -100
the O -100
amount O -100
of O -100
succulent O -100
meat B-ASP -100
and O -100
I O -100
' O -100
ve O -100
paid O -100
four O -100
times O -100
as O -100
much O -100
for O -100
less O -100
of O -100
an O -100
experience O -100
. O -100
I O -100
will O -100
definitely O -100
be O -100
back O -100
. O -100

Finally O -100
, O -100
a O -100
non O -100
threatening O -100
and O -100
reasonably O -100
priced O -100
Brazilian O -100
BBQ B-ASP -100
! O -100
You O -100
have O -100
two O -100
options O -100
here O -100
: O -100
all O -100
you O -100
can O -100
eat O -100
for O -100
$ O -100
12 O -100
and O -100
change O -100
or O -100
pay O -100
by O -100
the O -100
pound O -100
. O -100
The O -100
unlimited O -100
option B-ASP -100
was O -100
definitely O -100
the O -100
way O -100
to O -100
go O -100
. O -100
Now O -100
, O -100
buffets O -100
can O -100
be O -100
tempting O -100
, O -100
but O -100
keep O -100
in O -100
mind O -100
that O -100
the O -100
best O -100
stuff O -100
comes O -100
right O -100
to O -100
your O -100
table O -100
ON O -100
A O -100
SWORD O -100
. O -100
We O -100
filled O -100
up O -100
our O -100
plates O -100
with O -100
samplings O -100
from O -100
the O -100
buffet O -100
, O -100
from O -100
various O -100
salads O -100
( O -100
the O -100
potato O -100
salad O -100
was O -100
my O -100
favorite O -100
) O -100
, O -100
rice O -100
and O -100
beans O -100
, O -100
and O -100
a O -100
gigantic O -100
french O -100
fry O -100
. O -100
The O -100
fun O -100
begins O -100
when O -100
the O -100
skewers O -100
of O -100
meat O -100
begin O -100
to O -100
arrive O -100
, O -100
ranging O -100
from O -100
chicken O -100
wrapped O -100
in O -100
bacon O -100
to O -100
pork O -100
ribs O -100
, O -100
chicken O -100
sausage O -100
, O -100
and O -100
top O -100
sirloin O -100
. O -100
There O -100
' O -100
s O -100
a O -100
definite O -100
joy O -100
in O -100
grabbing O -100
the O -100
meat B-ASP -100
as O -100
it O -100
falls O -100
off O -100
from O -100
being O -100
cut O -100
and O -100
tasting O -100
as O -100
much O -100
as O -100
possible O -100
. O -100
Be O -100
sure O -100
to O -100
pace O -100
yourself O -100
; O -100
this O -100
place O -100
is O -100
extremely O -100
laid O -100
back O -100
, O -100
there O -100
' O -100
s O -100
no O -100
card O -100
to O -100
flip O -100
over O -100
to O -100
tell O -100
them O -100
to O -100
bring O -100
meat O -100
and O -100
they O -100
' O -100
ll O -100
keep O -100
serving B-ASP -100
you O -100
for O -100
as O -100
long O -100
as O -100
you O -100
' O -100
d O -100
like O -100
. O -100
A O -100
special O -100
bonus O -100
was O -100
the O -100
live O -100
music B-ASP -100
on O -100
Friday O -100
night O -100
a O -100
singer O -100
with O -100
a O -100
beautiful O -100
voice O -100
and O -100
a O -100
talented O -100
guitar O -100
player O -100
offering O -100
up O -100
traditional O -100
songs O -100
, O -100
as O -100
well O -100
as O -100
their O -100
gorgeous O -100
arrangements O -100
of O -100
pop O -100
songs O -100
like O -100
Rock O -100
with O -100
You O -100
, O -100
Come O -100
Away O -100
With O -100
Me O -100
, O -100
and O -100
Hotel O -100
California O -100
. O -100
Highlight O -100
of O -100
the O -100
evening O -100
was O -100
absolutely O -100
Tears O -100
in O -100
Heaven O -100
. O -100
There O -100
' O -100
s O -100
ample O -100
parking O -100
behind O -100
the O -100
restaurant O -100
and O -100
it O -100
' O -100
s O -100
located O -100
conveniently O -100
in O -100
downtown O -100
Everett O -100
. O -100
The O -100
value O -100
is O -100
tremendous O -100
here O -100
for O -100
the O -100
amount O -100
of O -100
succulent O -100
meat B-ASP Positive
and O -100
I O -100
' O -100
ve O -100
paid O -100
four O -100
times O -100
as O -100
much O -100
for O -100
less O -100
of O -100
an O -100
experience O -100
. O -100
I O -100
will O -100
definitely O -100
be O -100
back O -100
. O -100

The O -100
worst O -100
Chinese O -100
restaurant O -100
I O -100
have O -100
ever O -100
been O -100
to O -100
in O -100
vancouver O -100
. O -100
The O -100
the O -100
shreaded O -100
pork B-ASP Negative
had O -100
no O -100
mushrooms O -100
and O -100
is O -100
full O -100
of O -100
Msg O -100
. O -100
The O -100
lions O -100
head O -100
was O -100
full O -100
of O -100
corn O -100
starch O -100
. O -100
The O -100
fish B-ASP -100
was O -100
not O -100
fresh O -100
. O -100
We O -100
have O -100
to O -100
wait B-ASP -100
40 O -100
minutes O -100
for O -100
dessert O -100
which O -100
we O -100
eventually O -100
cancelled O -100
thee O -100
order O -100
. O -100
You O -100
can O -100
be O -100
blind O -100
folded O -100
and O -100
bump O -100
into O -100
a O -100
better O -100
Chinese O -100
restaurant O -100
in O -100
Vancouver O -100
. O -100
Service B-ASP -100
was O -100
slow O -100
with O -100
an O -100
attitude O -100
. O -100
The O -100
chef B-ASP -100
managed O -100
to O -100
screw O -100
up O -100
every O -100
dish O -100
we O -100
ordered O -100
. O -100
I O -100
was O -100
angry O -100
and O -100
said O -100
I O -100
would O -100
write O -100
them O -100
up O -100
on O -100
yelp O -100
. O -100
The O -100
response O -100
is O -100
their O -100
loyal O -100
chinese O -100
customers O -100
do O -100
not O -100
use O -100
yelp O -100
. O -100
wt O -100
$ O -100
% O -100
& O -100
+ O -100
+ O -100

The O -100
worst O -100
Chinese O -100
restaurant O -100
I O -100
have O -100
ever O -100
been O -100
to O -100
in O -100
vancouver O -100
. O -100
The O -100
the O -100
shreaded O -100
pork B-ASP -100
had O -100
no O -100
mushrooms O -100
and O -100
is O -100
full O -100
of O -100
Msg O -100
. O -100
The O -100
lions O -100
head O -100
was O -100
full O -100
of O -100
corn O -100
starch O -100
. O -100
The O -100
fish B-ASP Negative
was O -100
not O -100
fresh O -100
. O -100
We O -100
have O -100
to O -100
wait B-ASP -100
40 O -100
minutes O -100
for O -100
dessert O -100
which O -100
we O -100
eventually O -100
cancelled O -100
thee O -100
order O -100
. O -100
You O -100
can O -100
be O -100
blind O -100
folded O -100
and O -100
bump O -100
into O -100
a O -100
better O -100
Chinese O -100
restaurant O -100
in O -100
Vancouver O -100
. O -100
Service B-ASP -100
was O -100
slow O -100
with O -100
an O -100
attitude O -100
. O -100
The O -100
chef B-ASP -100
managed O -100
to O -100
screw O -100
up O -100
every O -100
dish O -100
we O -100
ordered O -100
. O -100
I O -100
was O -100
angry O -100
and O -100
said O -100
I O -100
would O -100
write O -100
them O -100
up O -100
on O -100
yelp O -100
. O -100
The O -100
response O -100
is O -100
their O -100
loyal O -100
chinese O -100
customers O -100
do O -100
not O -100
use O -100
yelp O -100
. O -100
wt O -100
$ O -100
% O -100
& O -100
+ O -100
+ O -100

The O -100
worst O -100
Chinese O -100
restaurant O -100
I O -100
have O -100
ever O -100
been O -100
to O -100
in O -100
vancouver O -100
. O -100
The O -100
the O -100
shreaded O -100
pork B-ASP -100
had O -100
no O -100
mushrooms O -100
and O -100
is O -100
full O -100
of O -100
Msg O -100
. O -100
The O -100
lions O -100
head O -100
was O -100
full O -100
of O -100
corn O -100
starch O -100
. O -100
The O -100
fish B-ASP -100
was O -100
not O -100
fresh O -100
. O -100
We O -100
have O -100
to O -100
wait B-ASP Negative
40 O -100
minutes O -100
for O -100
dessert O -100
which O -100
we O -100
eventually O -100
cancelled O -100
thee O -100
order O -100
. O -100
You O -100
can O -100
be O -100
blind O -100
folded O -100
and O -100
bump O -100
into O -100
a O -100
better O -100
Chinese O -100
restaurant O -100
in O -100
Vancouver O -100
. O -100
Service B-ASP -100
was O -100
slow O -100
with O -100
an O -100
attitude O -100
. O -100
The O -100
chef B-ASP -100
managed O -100
to O -100
screw O -100
up O -100
every O -100
dish O -100
we O -100
ordered O -100
. O -100
I O -100
was O -100
angry O -100
and O -100
said O -100
I O -100
would O -100
write O -100
them O -100
up O -100
on O -100
yelp O -100
. O -100
The O -100
response O -100
is O -100
their O -100
loyal O -100
chinese O -100
customers O -100
do O -100
not O -100
use O -100
yelp O -100
. O -100
wt O -100
$ O -100
% O -100
& O -100
+ O -100
+ O -100

The O -100
worst O -100
Chinese O -100
restaurant O -100
I O -100
have O -100
ever O -100
been O -100
to O -100
in O -100
vancouver O -100
. O -100
The O -100
the O -100
shreaded O -100
pork B-ASP -100
had O -100
no O -100
mushrooms O -100
and O -100
is O -100
full O -100
of O -100
Msg O -100
. O -100
The O -100
lions O -100
head O -100
was O -100
full O -100
of O -100
corn O -100
starch O -100
. O -100
The O -100
fish B-ASP -100
was O -100
not O -100
fresh O -100
. O -100
We O -100
have O -100
to O -100
wait B-ASP -100
40 O -100
minutes O -100
for O -100
dessert O -100
which O -100
we O -100
eventually O -100
cancelled O -100
thee O -100
order O -100
. O -100
You O -100
can O -100
be O -100
blind O -100
folded O -100
and O -100
bump O -100
into O -100
a O -100
better O -100
Chinese O -100
restaurant O -100
in O -100
Vancouver O -100
. O -100
Service B-ASP Negative
was O -100
slow O -100
with O -100
an O -100
attitude O -100
. O -100
The O -100
chef B-ASP -100
managed O -100
to O -100
screw O -100
up O -100
every O -100
dish O -100
we O -100
ordered O -100
. O -100
I O -100
was O -100
angry O -100
and O -100
said O -100
I O -100
would O -100
write O -100
them O -100
up O -100
on O -100
yelp O -100
. O -100
The O -100
response O -100
is O -100
their O -100
loyal O -100
chinese O -100
customers O -100
do O -100
not O -100
use O -100
yelp O -100
. O -100
wt O -100
$ O -100
% O -100
& O -100
+ O -100
+ O -100

The O -100
worst O -100
Chinese O -100
restaurant O -100
I O -100
have O -100
ever O -100
been O -100
to O -100
in O -100
vancouver O -100
. O -100
The O -100
the O -100
shreaded O -100
pork B-ASP -100
had O -100
no O -100
mushrooms O -100
and O -100
is O -100
full O -100
of O -100
Msg O -100
. O -100
The O -100
lions O -100
head O -100
was O -100
full O -100
of O -100
corn O -100
starch O -100
. O -100
The O -100
fish B-ASP -100
was O -100
not O -100
fresh O -100
. O -100
We O -100
have O -100
to O -100
wait B-ASP -100
40 O -100
minutes O -100
for O -100
dessert O -100
which O -100
we O -100
eventually O -100
cancelled O -100
thee O -100
order O -100
. O -100
You O -100
can O -100
be O -100
blind O -100
folded O -100
and O -100
bump O -100
into O -100
a O -100
better O -100
Chinese O -100
restaurant O -100
in O -100
Vancouver O -100
. O -100
Service B-ASP -100
was O -100
slow O -100
with O -100
an O -100
attitude O -100
. O -100
The O -100
chef B-ASP Negative
managed O -100
to O -100
screw O -100
up O -100
every O -100
dish O -100
we O -100
ordered O -100
. O -100
I O -100
was O -100
angry O -100
and O -100
said O -100
I O -100
would O -100
write O -100
them O -100
up O -100
on O -100
yelp O -100
. O -100
The O -100
response O -100
is O -100
their O -100
loyal O -100
chinese O -100
customers O -100
do O -100
not O -100
use O -100
yelp O -100
. O -100
wt O -100
$ O -100
% O -100
& O -100
+ O -100
+ O -100

I O -100
mostly O -100
eat O -100
here O -100
at O -100
lunch O -100
, O -100
for O -100
the O -100
tremendous O -100
buffet O -100
. O -100
I O -100
don O -100
' O -100
t O -100
have O -100
another O -100
benchmark O -100
for O -100
Tibetan O -100
cuisine O -100
so O -100
my O -100
raking O -100
is O -100
based O -100
on O -100
the O -100
comparison O -100
to O -100
the O -100
other O -100
lunch O -100
staple O -100
in O -100
Central O -100
Square O -100
: O -100
the O -100
ubiquitous O -100
Indian O -100
buffets O -100
. O -100
I O -100
admit O -100
to O -100
a O -100
fanatical O -100
love O -100
of O -100
cilantro O -100
and O -100
it O -100
is O -100
featured O -100
in O -100
many O -100
of O -100
the O -100
dishes O -100
. O -100
The O -100
dumplings B-ASP Positive
are O -100
my O -100
fav O -100
( O -100
Tsel O -100
Momo O -100
, O -100
Langsha O -100
Momo O -100
) O -100
, O -100
and O -100
I O -100
always O -100
start O -100
with O -100
those O -100
. O -100
I O -100
also O -100
like O -100
the O -100
noodle O -100
dishes O -100
( O -100
Chow O -100
Chow O -100
) O -100
. O -100
The O -100
vegetables O -100
are O -100
always O -100
fresh O -100
and O -100
crisp O -100
( O -100
Tsel O -100
Tomma O -100
, O -100
Tsel O -100
Tofu O -100
) O -100
. O -100
I O -100
would O -100
recommend O -100
this O -100
place O -100
for O -100
vegetarian O -100
meals O -100
alone O -100
, O -100
but O -100
the O -100
beef O -100
( O -100
Langsha O -100
Tsel O -100
Nesom O -100
) O -100
, O -100
pork O -100
( O -100
Phaksha O -100
Solo O -100
) O -100
and O -100
chicken O -100
( O -100
Chhasha O -100
Curry O -100
) O -100
dishes B-ASP -100
are O -100
very O -100
good O -100
too O -100
. O -100
If O -100
you O -100
like O -100
nan O -100
try O -100
the O -100
breads O -100
. O -100

I O -100
mostly O -100
eat O -100
here O -100
at O -100
lunch O -100
, O -100
for O -100
the O -100
tremendous O -100
buffet O -100
. O -100
I O -100
don O -100
' O -100
t O -100
have O -100
another O -100
benchmark O -100
for O -100
Tibetan O -100
cuisine O -100
so O -100
my O -100
raking O -100
is O -100
based O -100
on O -100
the O -100
comparison O -100
to O -100
the O -100
other O -100
lunch O -100
staple O -100
in O -100
Central O -100
Square O -100
: O -100
the O -100
ubiquitous O -100
Indian O -100
buffets O -100
. O -100
I O -100
admit O -100
to O -100
a O -100
fanatical O -100
love O -100
of O -100
cilantro O -100
and O -100
it O -100
is O -100
featured O -100
in O -100
many O -100
of O -100
the O -100
dishes O -100
. O -100
The O -100
dumplings B-ASP -100
are O -100
my O -100
fav O -100
( O -100
Tsel O -100
Momo O -100
, O -100
Langsha O -100
Momo O -100
) O -100
, O -100
and O -100
I O -100
always O -100
start O -100
with O -100
those O -100
. O -100
I O -100
also O -100
like O -100
the O -100
noodle O -100
dishes O -100
( O -100
Chow O -100
Chow O -100
) O -100
. O -100
The O -100
vegetables O -100
are O -100
always O -100
fresh O -100
and O -100
crisp O -100
( O -100
Tsel O -100
Tomma O -100
, O -100
Tsel O -100
Tofu O -100
) O -100
. O -100
I O -100
would O -100
recommend O -100
this O -100
place O -100
for O -100
vegetarian O -100
meals O -100
alone O -100
, O -100
but O -100
the O -100
beef O -100
( O -100
Langsha O -100
Tsel O -100
Nesom O -100
) O -100
, O -100
pork O -100
( O -100
Phaksha O -100
Solo O -100
) O -100
and O -100
chicken O -100
( O -100
Chhasha O -100
Curry O -100
) O -100
dishes B-ASP Positive
are O -100
very O -100
good O -100
too O -100
. O -100
If O -100
you O -100
like O -100
nan O -100
try O -100
the O -100
breads O -100
. O -100

This O -100
place O -100
is O -100
amazing O -100
. O -100
From O -100
the O -100
staff B-ASP Positive
, O -100
to O -100
the O -100
food B-ASP -100
, O -100
and O -100
the O -100
decor B-ASP -100
. O -100
Went O -100
during O -100
lunch O -100
and O -100
the O -100
food B-ASP -100
options I-ASP -100
are O -100
amazing O -100
. O -100
The O -100
bakery O -100
goods O -100
look O -100
so O -100
delicious O -100
. O -100
Order O -100
the O -100
artichoke O -100
eggs O -100
Benedict O -100
. O -100
Every O -100
bite O -100
was O -100
worth O -100
it O -100
. O -100
The O -100
wait O -100
staff B-ASP -100
is O -100
great O -100
. O -100
Very O -100
helpful O -100
and O -100
friendly O -100
. O -100
Worth O -100
the O -100
stop O -100
. O -100

This O -100
place O -100
is O -100
amazing O -100
. O -100
From O -100
the O -100
staff B-ASP -100
, O -100
to O -100
the O -100
food B-ASP Positive
, O -100
and O -100
the O -100
decor B-ASP -100
. O -100
Went O -100
during O -100
lunch O -100
and O -100
the O -100
food B-ASP -100
options I-ASP -100
are O -100
amazing O -100
. O -100
The O -100
bakery O -100
goods O -100
look O -100
so O -100
delicious O -100
. O -100
Order O -100
the O -100
artichoke O -100
eggs O -100
Benedict O -100
. O -100
Every O -100
bite O -100
was O -100
worth O -100
it O -100
. O -100
The O -100
wait O -100
staff B-ASP -100
is O -100
great O -100
. O -100
Very O -100
helpful O -100
and O -100
friendly O -100
. O -100
Worth O -100
the O -100
stop O -100
. O -100

This O -100
place O -100
is O -100
amazing O -100
. O -100
From O -100
the O -100
staff B-ASP -100
, O -100
to O -100
the O -100
food B-ASP -100
, O -100
and O -100
the O -100
decor B-ASP Positive
. O -100
Went O -100
during O -100
lunch O -100
and O -100
the O -100
food B-ASP -100
options I-ASP -100
are O -100
amazing O -100
. O -100
The O -100
bakery O -100
goods O -100
look O -100
so O -100
delicious O -100
. O -100
Order O -100
the O -100
artichoke O -100
eggs O -100
Benedict O -100
. O -100
Every O -100
bite O -100
was O -100
worth O -100
it O -100
. O -100
The O -100
wait O -100
staff B-ASP -100
is O -100
great O -100
. O -100
Very O -100
helpful O -100
and O -100
friendly O -100
. O -100
Worth O -100
the O -100
stop O -100
. O -100

This O -100
place O -100
is O -100
amazing O -100
. O -100
From O -100
the O -100
staff B-ASP -100
, O -100
to O -100
the O -100
food B-ASP -100
, O -100
and O -100
the O -100
decor B-ASP -100
. O -100
Went O -100
during O -100
lunch O -100
and O -100
the O -100
food B-ASP Positive
options I-ASP Positive
are O -100
amazing O -100
. O -100
The O -100
bakery O -100
goods O -100
look O -100
so O -100
delicious O -100
. O -100
Order O -100
the O -100
artichoke O -100
eggs O -100
Benedict O -100
. O -100
Every O -100
bite O -100
was O -100
worth O -100
it O -100
. O -100
The O -100
wait O -100
staff B-ASP -100
is O -100
great O -100
. O -100
Very O -100
helpful O -100
and O -100
friendly O -100
. O -100
Worth O -100
the O -100
stop O -100
. O -100

This O -100
place O -100
is O -100
amazing O -100
. O -100
From O -100
the O -100
staff B-ASP -100
, O -100
to O -100
the O -100
food B-ASP -100
, O -100
and O -100
the O -100
decor B-ASP -100
. O -100
Went O -100
during O -100
lunch O -100
and O -100
the O -100
food B-ASP -100
options I-ASP -100
are O -100
amazing O -100
. O -100
The O -100
bakery O -100
goods O -100
look O -100
so O -100
delicious O -100
. O -100
Order O -100
the O -100
artichoke O -100
eggs O -100
Benedict O -100
. O -100
Every O -100
bite O -100
was O -100
worth O -100
it O -100
. O -100
The O -100
wait O -100
staff B-ASP Positive
is O -100
great O -100
. O -100
Very O -100
helpful O -100
and O -100
friendly O -100
. O -100
Worth O -100
the O -100
stop O -100
. O -100

Went O -100
here O -100
with O -100
my O -100
family O -100
and O -100
friends O -100
( O -100
4 O -100
adults O -100
2 O -100
young O -100
children O -100
) O -100
. O -100
The O -100
hostess O -100
and O -100
waiter B-ASP Positive
were O -100
incredibly O -100
accommodating O -100
and O -100
kind O -100
to O -100
us O -100
. O -100
The O -100
service B-ASP -100
was O -100
fantastic O -100
and O -100
the O -100
food B-ASP -100
was O -100
delicious O -100
and O -100
fresh O -100
! O -100
We O -100
all O -100
had O -100
a O -100
special O -100
pesto O -100
linguini B-ASP -100
with O -100
seafood O -100
( O -100
lobster O -100
, O -100
jumbo O -100
shrimp O -100
, O -100
and O -100
scallops O -100
) O -100
. O -100
It O -100
was O -100
out O -100
of O -100
this O -100
world O -100
! O -100
We O -100
will O -100
definitely O -100
be O -100
coming O -100
back O -100
many O -100
times O -100
! O -100
! O -100
Totally O -100
recommend O -100
if O -100
you O -100
are O -100
looking O -100
for O -100
great O -100
food O -100
, O -100
great O -100
atmosphere O -100
, O -100
and O -100
amazing O -100
service O -100
! O -100

Went O -100
here O -100
with O -100
my O -100
family O -100
and O -100
friends O -100
( O -100
4 O -100
adults O -100
2 O -100
young O -100
children O -100
) O -100
. O -100
The O -100
hostess O -100
and O -100
waiter B-ASP -100
were O -100
incredibly O -100
accommodating O -100
and O -100
kind O -100
to O -100
us O -100
. O -100
The O -100
service B-ASP Positive
was O -100
fantastic O -100
and O -100
the O -100
food B-ASP -100
was O -100
delicious O -100
and O -100
fresh O -100
! O -100
We O -100
all O -100
had O -100
a O -100
special O -100
pesto O -100
linguini B-ASP -100
with O -100
seafood O -100
( O -100
lobster O -100
, O -100
jumbo O -100
shrimp O -100
, O -100
and O -100
scallops O -100
) O -100
. O -100
It O -100
was O -100
out O -100
of O -100
this O -100
world O -100
! O -100
We O -100
will O -100
definitely O -100
be O -100
coming O -100
back O -100
many O -100
times O -100
! O -100
! O -100
Totally O -100
recommend O -100
if O -100
you O -100
are O -100
looking O -100
for O -100
great O -100
food O -100
, O -100
great O -100
atmosphere O -100
, O -100
and O -100
amazing O -100
service O -100
! O -100

Went O -100
here O -100
with O -100
my O -100
family O -100
and O -100
friends O -100
( O -100
4 O -100
adults O -100
2 O -100
young O -100
children O -100
) O -100
. O -100
The O -100
hostess O -100
and O -100
waiter B-ASP -100
were O -100
incredibly O -100
accommodating O -100
and O -100
kind O -100
to O -100
us O -100
. O -100
The O -100
service B-ASP -100
was O -100
fantastic O -100
and O -100
the O -100
food B-ASP Positive
was O -100
delicious O -100
and O -100
fresh O -100
! O -100
We O -100
all O -100
had O -100
a O -100
special O -100
pesto O -100
linguini B-ASP -100
with O -100
seafood O -100
( O -100
lobster O -100
, O -100
jumbo O -100
shrimp O -100
, O -100
and O -100
scallops O -100
) O -100
. O -100
It O -100
was O -100
out O -100
of O -100
this O -100
world O -100
! O -100
We O -100
will O -100
definitely O -100
be O -100
coming O -100
back O -100
many O -100
times O -100
! O -100
! O -100
Totally O -100
recommend O -100
if O -100
you O -100
are O -100
looking O -100
for O -100
great O -100
food O -100
, O -100
great O -100
atmosphere O -100
, O -100
and O -100
amazing O -100
service O -100
! O -100

Went O -100
here O -100
with O -100
my O -100
family O -100
and O -100
friends O -100
( O -100
4 O -100
adults O -100
2 O -100
young O -100
children O -100
) O -100
. O -100
The O -100
hostess O -100
and O -100
waiter B-ASP -100
were O -100
incredibly O -100
accommodating O -100
and O -100
kind O -100
to O -100
us O -100
. O -100
The O -100
service B-ASP -100
was O -100
fantastic O -100
and O -100
the O -100
food B-ASP -100
was O -100
delicious O -100
and O -100
fresh O -100
! O -100
We O -100
all O -100
had O -100
a O -100
special O -100
pesto O -100
linguini B-ASP Positive
with O -100
seafood O -100
( O -100
lobster O -100
, O -100
jumbo O -100
shrimp O -100
, O -100
and O -100
scallops O -100
) O -100
. O -100
It O -100
was O -100
out O -100
of O -100
this O -100
world O -100
! O -100
We O -100
will O -100
definitely O -100
be O -100
coming O -100
back O -100
many O -100
times O -100
! O -100
! O -100
Totally O -100
recommend O -100
if O -100
you O -100
are O -100
looking O -100
for O -100
great O -100
food O -100
, O -100
great O -100
atmosphere O -100
, O -100
and O -100
amazing O -100
service O -100
! O -100

we O -100
really O -100
enjoyed O -100
our O -100
tasty O -100
and O -100
cozy O -100
meal B-ASP Positive
here O -100
. O -100
We O -100
ordered O -100
three O -100
small O -100
plates O -100
: O -100
yak O -100
momo O -100
, O -100
calamari O -100
and O -100
green O -100
beans O -100
. O -100
All O -100
were O -100
lovely O -100
, O -100
and O -100
there O -100
was O -100
quite O -100
a O -100
bit O -100
left O -100
over O -100
for O -100
two O -100
of O -100
us O -100
. O -100
I O -100
also O -100
especially O -100
appreciate O -100
the O -100
very O -100
reasonable O -100
glasses O -100
of O -100
wine B-ASP -100
to O -100
enjoy O -100
along O -100
with O -100
the O -100
food O -100
. O -100
Ambiance B-ASP -100
is O -100
cozy O -100
, O -100
quiet O -100
. O -100
A O -100
great O -100
date O -100
night O -100
and O -100
some O -100
tasty O -100
treats O -100
( O -100
for O -100
those O -100
not O -100
familiar O -100
with O -100
Himalayan O -100
food O -100
, O -100
there O -100
is O -100
a O -100
bit O -100
of O -100
something O -100
for O -100
everyone O -100
, O -100
curries O -100
and O -100
things O -100
that O -100
sounds O -100
like O -100
what O -100
you O -100
might O -100
find O -100
at O -100
Indian O -100
restaurants O -100
, O -100
to O -100
other O -100
things O -100
that O -100
are O -100
quiet O -100
apart O -100
) O -100
. O -100
We O -100
didnt O -100
try O -100
the O -100
green O -100
papaya O -100
salad B-ASP -100
on O -100
the O -100
menu O -100
but O -100
that O -100
also O -100
sounded O -100
yummy O -100

we O -100
really O -100
enjoyed O -100
our O -100
tasty O -100
and O -100
cozy O -100
meal B-ASP -100
here O -100
. O -100
We O -100
ordered O -100
three O -100
small O -100
plates O -100
: O -100
yak O -100
momo O -100
, O -100
calamari O -100
and O -100
green O -100
beans O -100
. O -100
All O -100
were O -100
lovely O -100
, O -100
and O -100
there O -100
was O -100
quite O -100
a O -100
bit O -100
left O -100
over O -100
for O -100
two O -100
of O -100
us O -100
. O -100
I O -100
also O -100
especially O -100
appreciate O -100
the O -100
very O -100
reasonable O -100
glasses O -100
of O -100
wine B-ASP Positive
to O -100
enjoy O -100
along O -100
with O -100
the O -100
food O -100
. O -100
Ambiance B-ASP -100
is O -100
cozy O -100
, O -100
quiet O -100
. O -100
A O -100
great O -100
date O -100
night O -100
and O -100
some O -100
tasty O -100
treats O -100
( O -100
for O -100
those O -100
not O -100
familiar O -100
with O -100
Himalayan O -100
food O -100
, O -100
there O -100
is O -100
a O -100
bit O -100
of O -100
something O -100
for O -100
everyone O -100
, O -100
curries O -100
and O -100
things O -100
that O -100
sounds O -100
like O -100
what O -100
you O -100
might O -100
find O -100
at O -100
Indian O -100
restaurants O -100
, O -100
to O -100
other O -100
things O -100
that O -100
are O -100
quiet O -100
apart O -100
) O -100
. O -100
We O -100
didnt O -100
try O -100
the O -100
green O -100
papaya O -100
salad B-ASP -100
on O -100
the O -100
menu O -100
but O -100
that O -100
also O -100
sounded O -100
yummy O -100

we O -100
really O -100
enjoyed O -100
our O -100
tasty O -100
and O -100
cozy O -100
meal B-ASP -100
here O -100
. O -100
We O -100
ordered O -100
three O -100
small O -100
plates O -100
: O -100
yak O -100
momo O -100
, O -100
calamari O -100
and O -100
green O -100
beans O -100
. O -100
All O -100
were O -100
lovely O -100
, O -100
and O -100
there O -100
was O -100
quite O -100
a O -100
bit O -100
left O -100
over O -100
for O -100
two O -100
of O -100
us O -100
. O -100
I O -100
also O -100
especially O -100
appreciate O -100
the O -100
very O -100
reasonable O -100
glasses O -100
of O -100
wine B-ASP -100
to O -100
enjoy O -100
along O -100
with O -100
the O -100
food O -100
. O -100
Ambiance B-ASP Positive
is O -100
cozy O -100
, O -100
quiet O -100
. O -100
A O -100
great O -100
date O -100
night O -100
and O -100
some O -100
tasty O -100
treats O -100
( O -100
for O -100
those O -100
not O -100
familiar O -100
with O -100
Himalayan O -100
food O -100
, O -100
there O -100
is O -100
a O -100
bit O -100
of O -100
something O -100
for O -100
everyone O -100
, O -100
curries O -100
and O -100
things O -100
that O -100
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like O -100
what O -100
you O -100
might O -100
find O -100
at O -100
Indian O -100
restaurants O -100
, O -100
to O -100
other O -100
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that O -100
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quiet O -100
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) O -100
. O -100
We O -100
didnt O -100
try O -100
the O -100
green O -100
papaya O -100
salad B-ASP -100
on O -100
the O -100
menu O -100
but O -100
that O -100
also O -100
sounded O -100
yummy O -100

we O -100
really O -100
enjoyed O -100
our O -100
tasty O -100
and O -100
cozy O -100
meal B-ASP -100
here O -100
. O -100
We O -100
ordered O -100
three O -100
small O -100
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: O -100
yak O -100
momo O -100
, O -100
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. O -100
All O -100
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lovely O -100
, O -100
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a O -100
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two O -100
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. O -100
I O -100
also O -100
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of O -100
wine B-ASP -100
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food O -100
. O -100
Ambiance B-ASP -100
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cozy O -100
, O -100
quiet O -100
. O -100
A O -100
great O -100
date O -100
night O -100
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some O -100
tasty O -100
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( O -100
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those O -100
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familiar O -100
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food O -100
, O -100
there O -100
is O -100
a O -100
bit O -100
of O -100
something O -100
for O -100
everyone O -100
, O -100
curries O -100
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things O -100
that O -100
sounds O -100
like O -100
what O -100
you O -100
might O -100
find O -100
at O -100
Indian O -100
restaurants O -100
, O -100
to O -100
other O -100
things O -100
that O -100
are O -100
quiet O -100
apart O -100
) O -100
. O -100
We O -100
didnt O -100
try O -100
the O -100
green O -100
papaya O -100
salad B-ASP Positive
on O -100
the O -100
menu O -100
but O -100
that O -100
also O -100
sounded O -100
yummy O -100

Jerk O -100
chicken B-ASP Negative
didn O -100
' O -100
t O -100
taste O -100
authentic O -100
. O -100
Chicken O -100
taco B-ASP -100
had O -100
bone O -100
in O -100
it O -100
. O -100
Restaurant O -100
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in O -100
food O -100
court O -100
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flea O -100
market O -100
so O -100
don O -100
' O -100
t O -100
expect O -100
atmosphere B-ASP -100
. O -100

Jerk O -100
chicken B-ASP -100
didn O -100
' O -100
t O -100
taste O -100
authentic O -100
. O -100
Chicken O -100
taco B-ASP Negative
had O -100
bone O -100
in O -100
it O -100
. O -100
Restaurant O -100
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in O -100
food O -100
court O -100
of O -100
flea O -100
market O -100
so O -100
don O -100
' O -100
t O -100
expect O -100
atmosphere B-ASP -100
. O -100

Jerk O -100
chicken B-ASP -100
didn O -100
' O -100
t O -100
taste O -100
authentic O -100
. O -100
Chicken O -100
taco B-ASP -100
had O -100
bone O -100
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it O -100
. O -100
Restaurant O -100
is O -100
in O -100
food O -100
court O -100
of O -100
flea O -100
market O -100
so O -100
don O -100
' O -100
t O -100
expect O -100
atmosphere B-ASP Negative
. O -100

Great O -100
comfortable O -100
place B-ASP Positive
for O -100
wings O -100
and O -100
a O -100
beer O -100
. O -100
Staff B-ASP -100
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super O -100
friendly O -100
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whole O -100
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a O -100
good O -100
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. O -100
All O -100
walks O -100
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life O -100
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here O -100
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fit O -100
in O -100
seamlessly O -100
. O -100
Wish O -100
this O -100
chain O -100
existed O -100
in O -100
Cincy O -100
. O -100

Great O -100
comfortable O -100
place B-ASP -100
for O -100
wings O -100
and O -100
a O -100
beer O -100
. O -100
Staff B-ASP Positive
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super O -100
friendly O -100
and O -100
the O -100
whole O -100
place B-ASP -100
has O -100
a O -100
good O -100
vibe O -100
. O -100
All O -100
walks O -100
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life O -100
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here O -100
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fit O -100
in O -100
seamlessly O -100
. O -100
Wish O -100
this O -100
chain O -100
existed O -100
in O -100
Cincy O -100
. O -100

Great O -100
comfortable O -100
place B-ASP -100
for O -100
wings O -100
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a O -100
beer O -100
. O -100
Staff B-ASP -100
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super O -100
friendly O -100
and O -100
the O -100
whole O -100
place B-ASP Positive
has O -100
a O -100
good O -100
vibe O -100
. O -100
All O -100
walks O -100
of O -100
life O -100
are O -100
welcomed O -100
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fit O -100
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seamlessly O -100
. O -100
Wish O -100
this O -100
chain O -100
existed O -100
in O -100
Cincy O -100
. O -100

El O -100
Paso O -100
Style O -100
Food O -100
huh O -100
. O -100
. O -100
. O -100
when O -100
I O -100
first O -100
saw O -100
this O -100
place O -100
, O -100
I O -100
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to O -100
myself O -100
, O -100
hmm O -100
, O -100
I O -100
am O -100
originally O -100
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El O -100
Paso O -100
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your O -100
telling O -100
me O -100
you O -100
make O -100
food O -100
like O -100
mama O -100
did O -100
back O -100
home O -100
? O -100
Well O -100
, O -100
this O -100
I O -100
have O -100
to O -100
see O -100
. O -100
" O -100
I O -100
took O -100
4 O -100
friends O -100
to O -100
this O -100
restaurant O -100
and O -100
of O -100
course O -100
, O -100
I O -100
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very O -100
skeptical O -100
. O -100
We O -100
sat O -100
down O -100
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the O -100
chips O -100
with O -100
salsa O -100
. O -100
T O -100
he O -100
salsa B-ASP Positive
was O -100
spicy O -100
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tasty O -100
and O -100
I O -100
actually O -100
requested O -100
more O -100
. O -100
Our O -100
meals O -100
included O -100
Steak O -100
Tampiquena O -100
, O -100
Flautas O -100
, O -100
Original O -100
El O -100
Paso O -100
Enchiladas O -100
, O -100
The O -100
Texican O -100
dinner O -100
and O -100
of O -100
course O -100
, O -100
one O -100
of O -100
my O -100
favorite O -100
dishes O -100
, O -100
Carne O -100
Chile O -100
Colorado O -100
. O -100
I O -100
know O -100
what O -100
El O -100
Paso O -100
Chile O -100
Colorado O -100
should O -100
taste O -100
like O -100
so O -100
when O -100
I O -100
took O -100
a O -100
bite O -100
of O -100
The O -100
Texican O -100
' O -100
s O -100
Chile B-ASP -100
Colorado I-ASP -100
, O -100
my O -100
taste O -100
buds O -100
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the O -100
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they O -100
had O -100
been O -100
in O -100
a O -100
long O -100
time O -100
. O -100
I O -100
also O -100
tried O -100
the O -100
other O -100
plates O -100
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this O -100
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definitely O -100
the O -100
Chicano O -100
food O -100
from O -100
back O -100
in O -100
El O -100
Paso O -100
. O -100
All O -100
my O -100
guests O -100
enjoyed O -100
their O -100
meals B-ASP -100
as O -100
I O -100
did O -100
. O -100
The O -100
food B-ASP -100
tastes O -100
like O -100
grandma O -100
' O -100
s O -100
food O -100
back O -100
home O -100
. O -100
I O -100
was O -100
truly O -100
surprised O -100
and O -100
delighted O -100
. O -100
When O -100
I O -100
feel O -100
like O -100
eating O -100
a O -100
great O -100
meal O -100
from O -100
back O -100
home O -100
, O -100
you O -100
can O -100
bet O -100
I O -100
will O -100
come O -100
back O -100
here O -100
. O -100
The O -100
staff B-ASP -100
was O -100
friendly O -100
and O -100
knowledgeable O -100
. O -100
For O -100
all O -100
you O -100
original O -100
El O -100
Pasoens O -100
in O -100
Austin O -100
, O -100
this O -100
place O -100
is O -100
for O -100
you O -100
, O -100
but O -100
sorry O -100
they O -100
don O -100
' O -100
t O -100
serve O -100
Chico O -100
' O -100
s O -100
Tacos O -100
( O -100
El O -100
Paso O -100
humor O -100
) O -100
lol O -100
. O -100
I O -100
recommend O -100
this O -100
place O -100
for O -100
anyone O -100
, O -100
it O -100
is O -100
a O -100
great O -100
place O -100
to O -100
eat O -100
. O -100

El O -100
Paso O -100
Style O -100
Food O -100
huh O -100
. O -100
. O -100
. O -100
when O -100
I O -100
first O -100
saw O -100
this O -100
place O -100
, O -100
I O -100
thought O -100
to O -100
myself O -100
, O -100
hmm O -100
, O -100
I O -100
am O -100
originally O -100
from O -100
El O -100
Paso O -100
and O -100
your O -100
telling O -100
me O -100
you O -100
make O -100
food O -100
like O -100
mama O -100
did O -100
back O -100
home O -100
? O -100
Well O -100
, O -100
this O -100
I O -100
have O -100
to O -100
see O -100
. O -100
" O -100
I O -100
took O -100
4 O -100
friends O -100
to O -100
this O -100
restaurant O -100
and O -100
of O -100
course O -100
, O -100
I O -100
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very O -100
skeptical O -100
. O -100
We O -100
sat O -100
down O -100
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the O -100
chips O -100
with O -100
salsa O -100
. O -100
T O -100
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salsa B-ASP -100
was O -100
spicy O -100
and O -100
tasty O -100
and O -100
I O -100
actually O -100
requested O -100
more O -100
. O -100
Our O -100
meals O -100
included O -100
Steak O -100
Tampiquena O -100
, O -100
Flautas O -100
, O -100
Original O -100
El O -100
Paso O -100
Enchiladas O -100
, O -100
The O -100
Texican O -100
dinner O -100
and O -100
of O -100
course O -100
, O -100
one O -100
of O -100
my O -100
favorite O -100
dishes O -100
, O -100
Carne O -100
Chile O -100
Colorado O -100
. O -100
I O -100
know O -100
what O -100
El O -100
Paso O -100
Chile O -100
Colorado O -100
should O -100
taste O -100
like O -100
so O -100
when O -100
I O -100
took O -100
a O -100
bite O -100
of O -100
The O -100
Texican O -100
' O -100
s O -100
Chile B-ASP Positive
Colorado I-ASP Positive
, O -100
my O -100
taste O -100
buds O -100
were O -100
the O -100
happiest O -100
they O -100
had O -100
been O -100
in O -100
a O -100
long O -100
time O -100
. O -100
I O -100
also O -100
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the O -100
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plates O -100
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this O -100
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definitely O -100
the O -100
Chicano O -100
food O -100
from O -100
back O -100
in O -100
El O -100
Paso O -100
. O -100
All O -100
my O -100
guests O -100
enjoyed O -100
their O -100
meals B-ASP -100
as O -100
I O -100
did O -100
. O -100
The O -100
food B-ASP -100
tastes O -100
like O -100
grandma O -100
' O -100
s O -100
food O -100
back O -100
home O -100
. O -100
I O -100
was O -100
truly O -100
surprised O -100
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delighted O -100
. O -100
When O -100
I O -100
feel O -100
like O -100
eating O -100
a O -100
great O -100
meal O -100
from O -100
back O -100
home O -100
, O -100
you O -100
can O -100
bet O -100
I O -100
will O -100
come O -100
back O -100
here O -100
. O -100
The O -100
staff B-ASP -100
was O -100
friendly O -100
and O -100
knowledgeable O -100
. O -100
For O -100
all O -100
you O -100
original O -100
El O -100
Pasoens O -100
in O -100
Austin O -100
, O -100
this O -100
place O -100
is O -100
for O -100
you O -100
, O -100
but O -100
sorry O -100
they O -100
don O -100
' O -100
t O -100
serve O -100
Chico O -100
' O -100
s O -100
Tacos O -100
( O -100
El O -100
Paso O -100
humor O -100
) O -100
lol O -100
. O -100
I O -100
recommend O -100
this O -100
place O -100
for O -100
anyone O -100
, O -100
it O -100
is O -100
a O -100
great O -100
place O -100
to O -100
eat O -100
. O -100

El O -100
Paso O -100
Style O -100
Food O -100
huh O -100
. O -100
. O -100
. O -100
when O -100
I O -100
first O -100
saw O -100
this O -100
place O -100
, O -100
I O -100
thought O -100
to O -100
myself O -100
, O -100
hmm O -100
, O -100
I O -100
am O -100
originally O -100
from O -100
El O -100
Paso O -100
and O -100
your O -100
telling O -100
me O -100
you O -100
make O -100
food O -100
like O -100
mama O -100
did O -100
back O -100
home O -100
? O -100
Well O -100
, O -100
this O -100
I O -100
have O -100
to O -100
see O -100
. O -100
" O -100
I O -100
took O -100
4 O -100
friends O -100
to O -100
this O -100
restaurant O -100
and O -100
of O -100
course O -100
, O -100
I O -100
was O -100
very O -100
skeptical O -100
. O -100
We O -100
sat O -100
down O -100
and O -100
had O -100
the O -100
chips O -100
with O -100
salsa O -100
. O -100
T O -100
he O -100
salsa B-ASP -100
was O -100
spicy O -100
and O -100
tasty O -100
and O -100
I O -100
actually O -100
requested O -100
more O -100
. O -100
Our O -100
meals O -100
included O -100
Steak O -100
Tampiquena O -100
, O -100
Flautas O -100
, O -100
Original O -100
El O -100
Paso O -100
Enchiladas O -100
, O -100
The O -100
Texican O -100
dinner O -100
and O -100
of O -100
course O -100
, O -100
one O -100
of O -100
my O -100
favorite O -100
dishes O -100
, O -100
Carne O -100
Chile O -100
Colorado O -100
. O -100
I O -100
know O -100
what O -100
El O -100
Paso O -100
Chile O -100
Colorado O -100
should O -100
taste O -100
like O -100
so O -100
when O -100
I O -100
took O -100
a O -100
bite O -100
of O -100
The O -100
Texican O -100
' O -100
s O -100
Chile B-ASP -100
Colorado I-ASP -100
, O -100
my O -100
taste O -100
buds O -100
were O -100
the O -100
happiest O -100
they O -100
had O -100
been O -100
in O -100
a O -100
long O -100
time O -100
. O -100
I O -100
also O -100
tried O -100
the O -100
other O -100
plates O -100
and O -100
this O -100
is O -100
definitely O -100
the O -100
Chicano O -100
food O -100
from O -100
back O -100
in O -100
El O -100
Paso O -100
. O -100
All O -100
my O -100
guests O -100
enjoyed O -100
their O -100
meals B-ASP Positive
as O -100
I O -100
did O -100
. O -100
The O -100
food B-ASP -100
tastes O -100
like O -100
grandma O -100
' O -100
s O -100
food O -100
back O -100
home O -100
. O -100
I O -100
was O -100
truly O -100
surprised O -100
and O -100
delighted O -100
. O -100
When O -100
I O -100
feel O -100
like O -100
eating O -100
a O -100
great O -100
meal O -100
from O -100
back O -100
home O -100
, O -100
you O -100
can O -100
bet O -100
I O -100
will O -100
come O -100
back O -100
here O -100
. O -100
The O -100
staff B-ASP -100
was O -100
friendly O -100
and O -100
knowledgeable O -100
. O -100
For O -100
all O -100
you O -100
original O -100
El O -100
Pasoens O -100
in O -100
Austin O -100
, O -100
this O -100
place O -100
is O -100
for O -100
you O -100
, O -100
but O -100
sorry O -100
they O -100
don O -100
' O -100
t O -100
serve O -100
Chico O -100
' O -100
s O -100
Tacos O -100
( O -100
El O -100
Paso O -100
humor O -100
) O -100
lol O -100
. O -100
I O -100
recommend O -100
this O -100
place O -100
for O -100
anyone O -100
, O -100
it O -100
is O -100
a O -100
great O -100
place O -100
to O -100
eat O -100
. O -100

El O -100
Paso O -100
Style O -100
Food O -100
huh O -100
. O -100
. O -100
. O -100
when O -100
I O -100
first O -100
saw O -100
this O -100
place O -100
, O -100
I O -100
thought O -100
to O -100
myself O -100
, O -100
hmm O -100
, O -100
I O -100
am O -100
originally O -100
from O -100
El O -100
Paso O -100
and O -100
your O -100
telling O -100
me O -100
you O -100
make O -100
food O -100
like O -100
mama O -100
did O -100
back O -100
home O -100
? O -100
Well O -100
, O -100
this O -100
I O -100
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to O -100
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. O -100
" O -100
I O -100
took O -100
4 O -100
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to O -100
this O -100
restaurant O -100
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of O -100
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, O -100
I O -100
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We O -100
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down O -100
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salsa O -100
. O -100
T O -100
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salsa B-ASP -100
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spicy O -100
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tasty O -100
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I O -100
actually O -100
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. O -100
Our O -100
meals O -100
included O -100
Steak O -100
Tampiquena O -100
, O -100
Flautas O -100
, O -100
Original O -100
El O -100
Paso O -100
Enchiladas O -100
, O -100
The O -100
Texican O -100
dinner O -100
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of O -100
course O -100
, O -100
one O -100
of O -100
my O -100
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, O -100
Carne O -100
Chile O -100
Colorado O -100
. O -100
I O -100
know O -100
what O -100
El O -100
Paso O -100
Chile O -100
Colorado O -100
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taste O -100
like O -100
so O -100
when O -100
I O -100
took O -100
a O -100
bite O -100
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The O -100
Texican O -100
' O -100
s O -100
Chile B-ASP -100
Colorado I-ASP -100
, O -100
my O -100
taste O -100
buds O -100
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the O -100
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in O -100
a O -100
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. O -100
I O -100
also O -100
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the O -100
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this O -100
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definitely O -100
the O -100
Chicano O -100
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in O -100
El O -100
Paso O -100
. O -100
All O -100
my O -100
guests O -100
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their O -100
meals B-ASP -100
as O -100
I O -100
did O -100
. O -100
The O -100
food B-ASP Positive
tastes O -100
like O -100
grandma O -100
' O -100
s O -100
food O -100
back O -100
home O -100
. O -100
I O -100
was O -100
truly O -100
surprised O -100
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delighted O -100
. O -100
When O -100
I O -100
feel O -100
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a O -100
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you O -100
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bet O -100
I O -100
will O -100
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back O -100
here O -100
. O -100
The O -100
staff B-ASP -100
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friendly O -100
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knowledgeable O -100
. O -100
For O -100
all O -100
you O -100
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El O -100
Pasoens O -100
in O -100
Austin O -100
, O -100
this O -100
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you O -100
, O -100
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' O -100
t O -100
serve O -100
Chico O -100
' O -100
s O -100
Tacos O -100
( O -100
El O -100
Paso O -100
humor O -100
) O -100
lol O -100
. O -100
I O -100
recommend O -100
this O -100
place O -100
for O -100
anyone O -100
, O -100
it O -100
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a O -100
great O -100
place O -100
to O -100
eat O -100
. O -100

El O -100
Paso O -100
Style O -100
Food O -100
huh O -100
. O -100
. O -100
. O -100
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I O -100
first O -100
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I O -100
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El O -100
Paso O -100
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your O -100
telling O -100
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you O -100
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? O -100
Well O -100
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I O -100
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. O -100
" O -100
I O -100
took O -100
4 O -100
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this O -100
restaurant O -100
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of O -100
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I O -100
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. O -100
We O -100
sat O -100
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salsa O -100
. O -100
T O -100
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salsa B-ASP -100
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spicy O -100
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tasty O -100
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I O -100
actually O -100
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. O -100
Our O -100
meals O -100
included O -100
Steak O -100
Tampiquena O -100
, O -100
Flautas O -100
, O -100
Original O -100
El O -100
Paso O -100
Enchiladas O -100
, O -100
The O -100
Texican O -100
dinner O -100
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of O -100
course O -100
, O -100
one O -100
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my O -100
favorite O -100
dishes O -100
, O -100
Carne O -100
Chile O -100
Colorado O -100
. O -100
I O -100
know O -100
what O -100
El O -100
Paso O -100
Chile O -100
Colorado O -100
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like O -100
so O -100
when O -100
I O -100
took O -100
a O -100
bite O -100
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The O -100
Texican O -100
' O -100
s O -100
Chile B-ASP -100
Colorado I-ASP -100
, O -100
my O -100
taste O -100
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the O -100
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I O -100
also O -100
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this O -100
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definitely O -100
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Chicano O -100
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in O -100
El O -100
Paso O -100
. O -100
All O -100
my O -100
guests O -100
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meals B-ASP -100
as O -100
I O -100
did O -100
. O -100
The O -100
food B-ASP -100
tastes O -100
like O -100
grandma O -100
' O -100
s O -100
food O -100
back O -100
home O -100
. O -100
I O -100
was O -100
truly O -100
surprised O -100
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delighted O -100
. O -100
When O -100
I O -100
feel O -100
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a O -100
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meal O -100
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home O -100
, O -100
you O -100
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bet O -100
I O -100
will O -100
come O -100
back O -100
here O -100
. O -100
The O -100
staff B-ASP Positive
was O -100
friendly O -100
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knowledgeable O -100
. O -100
For O -100
all O -100
you O -100
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El O -100
Pasoens O -100
in O -100
Austin O -100
, O -100
this O -100
place O -100
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you O -100
, O -100
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they O -100
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' O -100
t O -100
serve O -100
Chico O -100
' O -100
s O -100
Tacos O -100
( O -100
El O -100
Paso O -100
humor O -100
) O -100
lol O -100
. O -100
I O -100
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this O -100
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for O -100
anyone O -100
, O -100
it O -100
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a O -100
great O -100
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to O -100
eat O -100
. O -100

Best O -100
black O -100
' O -100
n O -100
bleu O -100
cheese O -100
burger B-ASP Positive
I O -100
ever O -100
did O -100
have O -100
! O -100
Cozy O -100
too O -100
! O -100

I O -100
have O -100
mixed O -100
feelings O -100
about O -100
this O -100
place B-ASP Positive
. O -100
First O -100
it O -100
' O -100
s O -100
really O -100
cute O -100
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. O -100
I O -100
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on O -100
the O -100
donuts O -100
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I O -100
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' O -100
t O -100
had O -100
Cap O -100
' O -100
n O -100
Crunch O -100
since O -100
I O -100
was O -100
10 O -100
. O -100
But O -100
a O -100
few O -100
things O -100
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probably O -100
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going O -100
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. O -100
The O -100
server B-ASP -100
actually O -100
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a O -100
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I O -100
asked O -100
for O -100
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I O -100
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to O -100
check O -100
the O -100
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sure O -100
it O -100
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in O -100
there O -100
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kind O -100
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lame O -100
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she B-ASP -100
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it O -100
. O -100
The O -100
donuts B-ASP -100
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I O -100
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I O -100
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I O -100
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a O -100
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donuts B-ASP -100
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I O -100
splurge O -100
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donuts O -100
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it O -100
just O -100
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' O -100
t O -100
possible O -100
here O -100
. O -100
I O -100
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I O -100
' O -100
ll O -100
probably O -100
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other O -100
places O -100
that O -100
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the O -100
donuts O -100
themselves O -100
better O -100
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' O -100
t O -100
just O -100
a O -100
spectacle O -100
. O -100

I O -100
have O -100
mixed O -100
feelings O -100
about O -100
this O -100
place B-ASP -100
. O -100
First O -100
it O -100
' O -100
s O -100
really O -100
cute O -100
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fun O -100
. O -100
I O -100
got O -100
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about O -100
the O -100
cereal O -100
on O -100
the O -100
donuts O -100
since O -100
I O -100
haven O -100
' O -100
t O -100
had O -100
Cap O -100
' O -100
n O -100
Crunch O -100
since O -100
I O -100
was O -100
10 O -100
. O -100
But O -100
a O -100
few O -100
things O -100
will O -100
probably O -100
keep O -100
me O -100
from O -100
going O -100
back O -100
. O -100
The O -100
server B-ASP Negative
actually O -100
left O -100
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a O -100
donut O -100
I O -100
asked O -100
for O -100
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I O -100
had O -100
to O -100
check O -100
the O -100
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there O -100
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lame O -100
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she B-ASP -100
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it O -100
. O -100
The O -100
donuts B-ASP -100
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I O -100
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I O -100
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I O -100
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a O -100
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donuts B-ASP -100
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I O -100
splurge O -100
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donuts O -100
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just O -100
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' O -100
t O -100
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. O -100
I O -100
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I O -100
' O -100
ll O -100
probably O -100
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other O -100
places O -100
that O -100
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the O -100
donuts O -100
themselves O -100
better O -100
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' O -100
t O -100
just O -100
a O -100
spectacle O -100
. O -100

I O -100
have O -100
mixed O -100
feelings O -100
about O -100
this O -100
place B-ASP -100
. O -100
First O -100
it O -100
' O -100
s O -100
really O -100
cute O -100
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fun O -100
. O -100
I O -100
got O -100
excited O -100
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the O -100
cereal O -100
on O -100
the O -100
donuts O -100
since O -100
I O -100
haven O -100
' O -100
t O -100
had O -100
Cap O -100
' O -100
n O -100
Crunch O -100
since O -100
I O -100
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10 O -100
. O -100
But O -100
a O -100
few O -100
things O -100
will O -100
probably O -100
keep O -100
me O -100
from O -100
going O -100
back O -100
. O -100
The O -100
server B-ASP -100
actually O -100
left O -100
out O -100
a O -100
donut O -100
I O -100
asked O -100
for O -100
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I O -100
had O -100
to O -100
check O -100
the O -100
box O -100
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make O -100
sure O -100
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in O -100
there O -100
so O -100
that O -100
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kind O -100
of O -100
lame O -100
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she B-ASP Negative
definitely O -100
charged O -100
me O -100
for O -100
it O -100
. O -100
The O -100
donuts B-ASP -100
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I O -100
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one O -100
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I O -100
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very O -100
full O -100
. O -100
I O -100
like O -100
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have O -100
a O -100
variety O -100
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donuts B-ASP -100
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I O -100
splurge O -100
on O -100
donuts O -100
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it O -100
just O -100
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' O -100
t O -100
possible O -100
here O -100
. O -100
I O -100
think O -100
I O -100
' O -100
ll O -100
probably O -100
stick O -100
to O -100
other O -100
places O -100
that O -100
do O -100
the O -100
donuts O -100
themselves O -100
better O -100
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aren O -100
' O -100
t O -100
just O -100
a O -100
spectacle O -100
. O -100

I O -100
have O -100
mixed O -100
feelings O -100
about O -100
this O -100
place B-ASP -100
. O -100
First O -100
it O -100
' O -100
s O -100
really O -100
cute O -100
and O -100
fun O -100
. O -100
I O -100
got O -100
excited O -100
about O -100
the O -100
cereal O -100
on O -100
the O -100
donuts O -100
since O -100
I O -100
haven O -100
' O -100
t O -100
had O -100
Cap O -100
' O -100
n O -100
Crunch O -100
since O -100
I O -100
was O -100
10 O -100
. O -100
But O -100
a O -100
few O -100
things O -100
will O -100
probably O -100
keep O -100
me O -100
from O -100
going O -100
back O -100
. O -100
The O -100
server B-ASP -100
actually O -100
left O -100
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a O -100
donut O -100
I O -100
asked O -100
for O -100
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I O -100
had O -100
to O -100
check O -100
the O -100
box O -100
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make O -100
sure O -100
it O -100
was O -100
in O -100
there O -100
so O -100
that O -100
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kind O -100
of O -100
lame O -100
because O -100
she B-ASP -100
definitely O -100
charged O -100
me O -100
for O -100
it O -100
. O -100
The O -100
donuts B-ASP Negative
themselves O -100
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thick O -100
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yeasty O -100
so O -100
I O -100
could O -100
only O -100
make O -100
it O -100
through O -100
one O -100
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I O -100
felt O -100
very O -100
full O -100
. O -100
I O -100
like O -100
to O -100
have O -100
a O -100
variety O -100
of O -100
donuts B-ASP -100
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different O -100
flavors O -100
when O -100
I O -100
splurge O -100
on O -100
donuts O -100
and O -100
it O -100
just O -100
isn O -100
' O -100
t O -100
possible O -100
here O -100
. O -100
I O -100
think O -100
I O -100
' O -100
ll O -100
probably O -100
stick O -100
to O -100
other O -100
places O -100
that O -100
do O -100
the O -100
donuts O -100
themselves O -100
better O -100
and O -100
aren O -100
' O -100
t O -100
just O -100
a O -100
spectacle O -100
. O -100

I O -100
have O -100
mixed O -100
feelings O -100
about O -100
this O -100
place B-ASP -100
. O -100
First O -100
it O -100
' O -100
s O -100
really O -100
cute O -100
and O -100
fun O -100
. O -100
I O -100
got O -100
excited O -100
about O -100
the O -100
cereal O -100
on O -100
the O -100
donuts O -100
since O -100
I O -100
haven O -100
' O -100
t O -100
had O -100
Cap O -100
' O -100
n O -100
Crunch O -100
since O -100
I O -100
was O -100
10 O -100
. O -100
But O -100
a O -100
few O -100
things O -100
will O -100
probably O -100
keep O -100
me O -100
from O -100
going O -100
back O -100
. O -100
The O -100
server B-ASP -100
actually O -100
left O -100
out O -100
a O -100
donut O -100
I O -100
asked O -100
for O -100
and O -100
I O -100
had O -100
to O -100
check O -100
the O -100
box O -100
and O -100
make O -100
sure O -100
it O -100
was O -100
in O -100
there O -100
so O -100
that O -100
was O -100
kind O -100
of O -100
lame O -100
because O -100
she B-ASP -100
definitely O -100
charged O -100
me O -100
for O -100
it O -100
. O -100
The O -100
donuts B-ASP -100
themselves O -100
are O -100
very O -100
thick O -100
and O -100
yeasty O -100
so O -100
I O -100
could O -100
only O -100
make O -100
it O -100
through O -100
one O -100
before O -100
I O -100
felt O -100
very O -100
full O -100
. O -100
I O -100
like O -100
to O -100
have O -100
a O -100
variety O -100
of O -100
donuts B-ASP Negative
and O -100
different O -100
flavors O -100
when O -100
I O -100
splurge O -100
on O -100
donuts O -100
and O -100
it O -100
just O -100
isn O -100
' O -100
t O -100
possible O -100
here O -100
. O -100
I O -100
think O -100
I O -100
' O -100
ll O -100
probably O -100
stick O -100
to O -100
other O -100
places O -100
that O -100
do O -100
the O -100
donuts O -100
themselves O -100
better O -100
and O -100
aren O -100
' O -100
t O -100
just O -100
a O -100
spectacle O -100
. O -100

Excellent O -100
view B-ASP Positive
. O -100
Nice O -100
pub O -100
menu B-ASP -100
. O -100
The O -100
Cuban B-ASP -100
was O -100
excellent B-ASP -100
. O -100
You O -100
order O -100
at O -100
the O -100
bar O -100
and O -100
are O -100
given O -100
a O -100
buzzer O -100
to O -100
pick O -100
up O -100
your O -100
food O -100
. O -100
I O -100
like O -100
that O -100
they O -100
serve B-ASP -100
the O -100
food O -100
as O -100
it O -100
' O -100
s O -100
ready O -100
, O -100
and O -100
do O -100
not O -100
wait O -100
for O -100
everything O -100
to O -100
be O -100
ready O -100
to O -100
call O -100
you O -100
up O -100
. O -100
The O -100
beer O -100
menu O -100
was O -100
extensive O -100
, O -100
but O -100
the O -100
tap O -100
water B-ASP -100
tasted O -100
funny O -100
. O -100
Stick O -100
with O -100
bottled O -100
water O -100
! O -100

Excellent O -100
view B-ASP -100
. O -100
Nice O -100
pub O -100
menu B-ASP Positive
. O -100
The O -100
Cuban B-ASP -100
was O -100
excellent B-ASP -100
. O -100
You O -100
order O -100
at O -100
the O -100
bar O -100
and O -100
are O -100
given O -100
a O -100
buzzer O -100
to O -100
pick O -100
up O -100
your O -100
food O -100
. O -100
I O -100
like O -100
that O -100
they O -100
serve B-ASP -100
the O -100
food O -100
as O -100
it O -100
' O -100
s O -100
ready O -100
, O -100
and O -100
do O -100
not O -100
wait O -100
for O -100
everything O -100
to O -100
be O -100
ready O -100
to O -100
call O -100
you O -100
up O -100
. O -100
The O -100
beer O -100
menu O -100
was O -100
extensive O -100
, O -100
but O -100
the O -100
tap O -100
water B-ASP -100
tasted O -100
funny O -100
. O -100
Stick O -100
with O -100
bottled O -100
water O -100
! O -100

Excellent O -100
view B-ASP -100
. O -100
Nice O -100
pub O -100
menu B-ASP -100
. O -100
The O -100
Cuban B-ASP Positive
was O -100
excellent B-ASP -100
. O -100
You O -100
order O -100
at O -100
the O -100
bar O -100
and O -100
are O -100
given O -100
a O -100
buzzer O -100
to O -100
pick O -100
up O -100
your O -100
food O -100
. O -100
I O -100
like O -100
that O -100
they O -100
serve B-ASP -100
the O -100
food O -100
as O -100
it O -100
' O -100
s O -100
ready O -100
, O -100
and O -100
do O -100
not O -100
wait O -100
for O -100
everything O -100
to O -100
be O -100
ready O -100
to O -100
call O -100
you O -100
up O -100
. O -100
The O -100
beer O -100
menu O -100
was O -100
extensive O -100
, O -100
but O -100
the O -100
tap O -100
water B-ASP -100
tasted O -100
funny O -100
. O -100
Stick O -100
with O -100
bottled O -100
water O -100
! O -100

Excellent O -100
view B-ASP -100
. O -100
Nice O -100
pub O -100
menu B-ASP -100
. O -100
The O -100
Cuban B-ASP -100
was O -100
excellent B-ASP Positive
. O -100
You O -100
order O -100
at O -100
the O -100
bar O -100
and O -100
are O -100
given O -100
a O -100
buzzer O -100
to O -100
pick O -100
up O -100
your O -100
food O -100
. O -100
I O -100
like O -100
that O -100
they O -100
serve B-ASP -100
the O -100
food O -100
as O -100
it O -100
' O -100
s O -100
ready O -100
, O -100
and O -100
do O -100
not O -100
wait O -100
for O -100
everything O -100
to O -100
be O -100
ready O -100
to O -100
call O -100
you O -100
up O -100
. O -100
The O -100
beer O -100
menu O -100
was O -100
extensive O -100
, O -100
but O -100
the O -100
tap O -100
water B-ASP -100
tasted O -100
funny O -100
. O -100
Stick O -100
with O -100
bottled O -100
water O -100
! O -100

Excellent O -100
view B-ASP -100
. O -100
Nice O -100
pub O -100
menu B-ASP -100
. O -100
The O -100
Cuban B-ASP -100
was O -100
excellent B-ASP -100
. O -100
You O -100
order O -100
at O -100
the O -100
bar O -100
and O -100
are O -100
given O -100
a O -100
buzzer O -100
to O -100
pick O -100
up O -100
your O -100
food O -100
. O -100
I O -100
like O -100
that O -100
they O -100
serve B-ASP Positive
the O -100
food O -100
as O -100
it O -100
' O -100
s O -100
ready O -100
, O -100
and O -100
do O -100
not O -100
wait O -100
for O -100
everything O -100
to O -100
be O -100
ready O -100
to O -100
call O -100
you O -100
up O -100
. O -100
The O -100
beer O -100
menu O -100
was O -100
extensive O -100
, O -100
but O -100
the O -100
tap O -100
water B-ASP -100
tasted O -100
funny O -100
. O -100
Stick O -100
with O -100
bottled O -100
water O -100
! O -100

Excellent O -100
view B-ASP -100
. O -100
Nice O -100
pub O -100
menu B-ASP -100
. O -100
The O -100
Cuban B-ASP -100
was O -100
excellent B-ASP -100
. O -100
You O -100
order O -100
at O -100
the O -100
bar O -100
and O -100
are O -100
given O -100
a O -100
buzzer O -100
to O -100
pick O -100
up O -100
your O -100
food O -100
. O -100
I O -100
like O -100
that O -100
they O -100
serve B-ASP -100
the O -100
food O -100
as O -100
it O -100
' O -100
s O -100
ready O -100
, O -100
and O -100
do O -100
not O -100
wait O -100
for O -100
everything O -100
to O -100
be O -100
ready O -100
to O -100
call O -100
you O -100
up O -100
. O -100
The O -100
beer O -100
menu O -100
was O -100
extensive O -100
, O -100
but O -100
the O -100
tap O -100
water B-ASP Positive
tasted O -100
funny O -100
. O -100
Stick O -100
with O -100
bottled O -100
water O -100
! O -100

3 O -100
stars O -100
just O -100
because O -100
the O -100
food B-ASP Positive
is O -100
good O -100
. O -100
Service B-ASP -100
is O -100
so O -100
slow O -100
, O -100
calling O -100
it O -100
fast O -100
food O -100
is O -100
misleading O -100
. O -100
1st O -100
time O -100
: O -100
went O -100
to O -100
the O -100
restaurant O -100
to O -100
place O -100
an O -100
order O -100
wait B-ASP -100
time I-ASP -100
20 O -100
mins O -100
. O -100
2nd O -100
time O -100
: O -100
placed O -100
an O -100
order O -100
online O -100
to O -100
save O -100
time O -100
. O -100
Got O -100
to O -100
the O -100
place O -100
in O -100
20 O -100
mins O -100
as O -100
per O -100
the O -100
online O -100
order O -100
, O -100
the O -100
ORDER B-ASP -100
NEVER O -100
WENT O -100
through O -100
. O -100
Guess O -100
what O -100
ANOTHER O -100
20 O -100
mins B-ASP -100
to O -100
prepare B-ASP -100
the O -100
food O -100
. O -100
40 O -100
MINS O -100
for O -100
Fast O -100
Food O -100
. O -100
. O -100
. O -100
Really O -100
! O -100
! O -100
? O -100
? O -100
? O -100

3 O -100
stars O -100
just O -100
because O -100
the O -100
food B-ASP -100
is O -100
good O -100
. O -100
Service B-ASP Negative
is O -100
so O -100
slow O -100
, O -100
calling O -100
it O -100
fast O -100
food O -100
is O -100
misleading O -100
. O -100
1st O -100
time O -100
: O -100
went O -100
to O -100
the O -100
restaurant O -100
to O -100
place O -100
an O -100
order O -100
wait B-ASP -100
time I-ASP -100
20 O -100
mins O -100
. O -100
2nd O -100
time O -100
: O -100
placed O -100
an O -100
order O -100
online O -100
to O -100
save O -100
time O -100
. O -100
Got O -100
to O -100
the O -100
place O -100
in O -100
20 O -100
mins O -100
as O -100
per O -100
the O -100
online O -100
order O -100
, O -100
the O -100
ORDER B-ASP -100
NEVER O -100
WENT O -100
through O -100
. O -100
Guess O -100
what O -100
ANOTHER O -100
20 O -100
mins B-ASP -100
to O -100
prepare B-ASP -100
the O -100
food O -100
. O -100
40 O -100
MINS O -100
for O -100
Fast O -100
Food O -100
. O -100
. O -100
. O -100
Really O -100
! O -100
! O -100
? O -100
? O -100
? O -100

3 O -100
stars O -100
just O -100
because O -100
the O -100
food B-ASP -100
is O -100
good O -100
. O -100
Service B-ASP -100
is O -100
so O -100
slow O -100
, O -100
calling O -100
it O -100
fast O -100
food O -100
is O -100
misleading O -100
. O -100
1st O -100
time O -100
: O -100
went O -100
to O -100
the O -100
restaurant O -100
to O -100
place O -100
an O -100
order O -100
wait B-ASP Negative
time I-ASP Negative
20 O -100
mins O -100
. O -100
2nd O -100
time O -100
: O -100
placed O -100
an O -100
order O -100
online O -100
to O -100
save O -100
time O -100
. O -100
Got O -100
to O -100
the O -100
place O -100
in O -100
20 O -100
mins O -100
as O -100
per O -100
the O -100
online O -100
order O -100
, O -100
the O -100
ORDER B-ASP -100
NEVER O -100
WENT O -100
through O -100
. O -100
Guess O -100
what O -100
ANOTHER O -100
20 O -100
mins B-ASP -100
to O -100
prepare B-ASP -100
the O -100
food O -100
. O -100
40 O -100
MINS O -100
for O -100
Fast O -100
Food O -100
. O -100
. O -100
. O -100
Really O -100
! O -100
! O -100
? O -100
? O -100
? O -100

3 O -100
stars O -100
just O -100
because O -100
the O -100
food B-ASP -100
is O -100
good O -100
. O -100
Service B-ASP -100
is O -100
so O -100
slow O -100
, O -100
calling O -100
it O -100
fast O -100
food O -100
is O -100
misleading O -100
. O -100
1st O -100
time O -100
: O -100
went O -100
to O -100
the O -100
restaurant O -100
to O -100
place O -100
an O -100
order O -100
wait B-ASP -100
time I-ASP -100
20 O -100
mins O -100
. O -100
2nd O -100
time O -100
: O -100
placed O -100
an O -100
order O -100
online O -100
to O -100
save O -100
time O -100
. O -100
Got O -100
to O -100
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place O -100
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20 O -100
mins O -100
as O -100
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, O -100
the O -100
ORDER B-ASP Negative
NEVER O -100
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. O -100
Guess O -100
what O -100
ANOTHER O -100
20 O -100
mins B-ASP -100
to O -100
prepare B-ASP -100
the O -100
food O -100
. O -100
40 O -100
MINS O -100
for O -100
Fast O -100
Food O -100
. O -100
. O -100
. O -100
Really O -100
! O -100
! O -100
? O -100
? O -100
? O -100

3 O -100
stars O -100
just O -100
because O -100
the O -100
food B-ASP -100
is O -100
good O -100
. O -100
Service B-ASP -100
is O -100
so O -100
slow O -100
, O -100
calling O -100
it O -100
fast O -100
food O -100
is O -100
misleading O -100
. O -100
1st O -100
time O -100
: O -100
went O -100
to O -100
the O -100
restaurant O -100
to O -100
place O -100
an O -100
order O -100
wait B-ASP -100
time I-ASP -100
20 O -100
mins O -100
. O -100
2nd O -100
time O -100
: O -100
placed O -100
an O -100
order O -100
online O -100
to O -100
save O -100
time O -100
. O -100
Got O -100
to O -100
the O -100
place O -100
in O -100
20 O -100
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, O -100
the O -100
ORDER B-ASP -100
NEVER O -100
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through O -100
. O -100
Guess O -100
what O -100
ANOTHER O -100
20 O -100
mins B-ASP Negative
to O -100
prepare B-ASP -100
the O -100
food O -100
. O -100
40 O -100
MINS O -100
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Food O -100
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. O -100
. O -100
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! O -100
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? O -100
? O -100

3 O -100
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just O -100
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food B-ASP -100
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Service B-ASP -100
is O -100
so O -100
slow O -100
, O -100
calling O -100
it O -100
fast O -100
food O -100
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misleading O -100
. O -100
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time O -100
: O -100
went O -100
to O -100
the O -100
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to O -100
place O -100
an O -100
order O -100
wait B-ASP -100
time I-ASP -100
20 O -100
mins O -100
. O -100
2nd O -100
time O -100
: O -100
placed O -100
an O -100
order O -100
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time O -100
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to O -100
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place O -100
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20 O -100
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to O -100
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the O -100
food O -100
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Food O -100
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Okay O -100
, O -100
I O -100
' O -100
m O -100
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to O -100
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the O -100
bad O -100
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of O -100
the O -100
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. O -100
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have O -100
never O -100
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to O -100
restaurant O -100
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non O -100
alcoholic O -100
beverages O -100
weren O -100
' O -100
t O -100
listed O -100
. O -100
Until O -100
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. O -100
2 O -100
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drinks O -100
but O -100
not O -100
even O -100
the O -100
hint O -100
of O -100
what O -100
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booze O -100
offerings O -100
were O -100
. O -100
Maybe O -100
if O -100
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up O -100
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a O -100
kid O -100
or O -100
stroller O -100
, O -100
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' O -100
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the O -100
non O -100
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offerings O -100
. O -100
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' O -100
t O -100
have O -100
gotten O -100
so O -100
bent O -100
out O -100
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shape O -100
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it O -100
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the O -100
waiter B-ASP Negative
hadn O -100
' O -100
t O -100
been O -100
a O -100
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that O -100
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asked O -100
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them O -100
. O -100
Now O -100
, O -100
onto O -100
the O -100
food O -100
. O -100
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burgers O -100
. O -100
And O -100
, O -100
for O -100
the O -100
most O -100
part O -100
, O -100
were O -100
happy O -100
with O -100
our O -100
choices B-ASP -100
. O -100
I O -100
had O -100
the O -100
Aunt O -100
Patty B-ASP -100
which O -100
was O -100
very O -100
tasty O -100
. O -100
The O -100
boyfriend O -100
had O -100
a O -100
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bacon O -100
burger O -100
. O -100
Dad O -100
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the O -100
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ranger O -100
( O -100
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Mom O -100
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a O -100
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. O -100
They B-ASP -100
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burgers O -100
. O -100
. O -100
. O -100
our O -100
issue O -100
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that O -100
none O -100
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. O -100
All O -100
were O -100
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and O -100
a O -100
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' O -100
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the O -100
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. O -100
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plenty O -100
of O -100
M O -100
& O -100
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who O -100
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things O -100
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. O -100

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, O -100
I O -100
' O -100
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going O -100
to O -100
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the O -100
bad O -100
out O -100
of O -100
the O -100
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. O -100
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never O -100
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to O -100
restaurant O -100
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the O -100
non O -100
alcoholic O -100
beverages O -100
weren O -100
' O -100
t O -100
listed O -100
. O -100
Until O -100
here O -100
. O -100
2 O -100
pages O -100
of O -100
boozy O -100
drinks O -100
but O -100
not O -100
even O -100
the O -100
hint O -100
of O -100
what O -100
their O -100
non O -100
booze O -100
offerings O -100
were O -100
. O -100
Maybe O -100
if O -100
we O -100
' O -100
d O -100
shown O -100
up O -100
with O -100
a O -100
kid O -100
or O -100
stroller O -100
, O -100
we O -100
' O -100
d O -100
have O -100
gotten O -100
the O -100
non O -100
alcoholic O -100
offerings O -100
. O -100
I O -100
probably O -100
wouldn O -100
' O -100
t O -100
have O -100
gotten O -100
so O -100
bent O -100
out O -100
of O -100
shape O -100
about O -100
it O -100
if O -100
the O -100
waiter B-ASP -100
hadn O -100
' O -100
t O -100
been O -100
a O -100
little O -100
taken O -100
aback O -100
that O -100
we O -100
asked O -100
about O -100
them O -100
. O -100
Now O -100
, O -100
onto O -100
the O -100
food O -100
. O -100
We O -100
all O -100
ordered O -100
burgers O -100
. O -100
And O -100
, O -100
for O -100
the O -100
most O -100
part O -100
, O -100
were O -100
happy O -100
with O -100
our O -100
choices B-ASP Positive
. O -100
I O -100
had O -100
the O -100
Aunt O -100
Patty B-ASP -100
which O -100
was O -100
very O -100
tasty O -100
. O -100
The O -100
boyfriend O -100
had O -100
a O -100
bodacious O -100
bacon O -100
burger O -100
. O -100
Dad O -100
got O -100
the O -100
Texas O -100
ranger O -100
( O -100
which O -100
he O -100
loved O -100
) O -100
and O -100
Mom O -100
had O -100
a O -100
basic O -100
burger O -100
. O -100
They B-ASP -100
were O -100
all O -100
nice O -100
burgers O -100
. O -100
. O -100
. O -100
our O -100
issue O -100
was O -100
that O -100
none O -100
of O -100
them O -100
came O -100
cooked O -100
as O -100
we O -100
ordered O -100
. O -100
All O -100
were O -100
cooked O -100
well O -100
done O -100
. O -100
We O -100
had O -100
3 O -100
mediums O -100
and O -100
a O -100
medium O -100
well O -100
in O -100
our O -100
group O -100
. O -100
I O -100
' O -100
d O -100
have O -100
kicked O -100
the O -100
review O -100
up O -100
to O -100
a O -100
3 O -100
if O -100
they O -100
had O -100
cooked O -100
our O -100
stuff O -100
to O -100
order O -100
. O -100
There O -100
are O -100
plenty O -100
of O -100
M O -100
& O -100
E O -100
' O -100
s O -100
in O -100
town O -100
who O -100
do O -100
things O -100
more O -100
consistently O -100
. O -100

Okay O -100
, O -100
I O -100
' O -100
m O -100
going O -100
to O -100
get O -100
the O -100
bad O -100
out O -100
of O -100
the O -100
way O -100
first O -100
. O -100
I O -100
have O -100
never O -100
been O -100
to O -100
restaurant O -100
where O -100
the O -100
non O -100
alcoholic O -100
beverages O -100
weren O -100
' O -100
t O -100
listed O -100
. O -100
Until O -100
here O -100
. O -100
2 O -100
pages O -100
of O -100
boozy O -100
drinks O -100
but O -100
not O -100
even O -100
the O -100
hint O -100
of O -100
what O -100
their O -100
non O -100
booze O -100
offerings O -100
were O -100
. O -100
Maybe O -100
if O -100
we O -100
' O -100
d O -100
shown O -100
up O -100
with O -100
a O -100
kid O -100
or O -100
stroller O -100
, O -100
we O -100
' O -100
d O -100
have O -100
gotten O -100
the O -100
non O -100
alcoholic O -100
offerings O -100
. O -100
I O -100
probably O -100
wouldn O -100
' O -100
t O -100
have O -100
gotten O -100
so O -100
bent O -100
out O -100
of O -100
shape O -100
about O -100
it O -100
if O -100
the O -100
waiter B-ASP -100
hadn O -100
' O -100
t O -100
been O -100
a O -100
little O -100
taken O -100
aback O -100
that O -100
we O -100
asked O -100
about O -100
them O -100
. O -100
Now O -100
, O -100
onto O -100
the O -100
food O -100
. O -100
We O -100
all O -100
ordered O -100
burgers O -100
. O -100
And O -100
, O -100
for O -100
the O -100
most O -100
part O -100
, O -100
were O -100
happy O -100
with O -100
our O -100
choices B-ASP -100
. O -100
I O -100
had O -100
the O -100
Aunt O -100
Patty B-ASP Positive
which O -100
was O -100
very O -100
tasty O -100
. O -100
The O -100
boyfriend O -100
had O -100
a O -100
bodacious O -100
bacon O -100
burger O -100
. O -100
Dad O -100
got O -100
the O -100
Texas O -100
ranger O -100
( O -100
which O -100
he O -100
loved O -100
) O -100
and O -100
Mom O -100
had O -100
a O -100
basic O -100
burger O -100
. O -100
They B-ASP -100
were O -100
all O -100
nice O -100
burgers O -100
. O -100
. O -100
. O -100
our O -100
issue O -100
was O -100
that O -100
none O -100
of O -100
them O -100
came O -100
cooked O -100
as O -100
we O -100
ordered O -100
. O -100
All O -100
were O -100
cooked O -100
well O -100
done O -100
. O -100
We O -100
had O -100
3 O -100
mediums O -100
and O -100
a O -100
medium O -100
well O -100
in O -100
our O -100
group O -100
. O -100
I O -100
' O -100
d O -100
have O -100
kicked O -100
the O -100
review O -100
up O -100
to O -100
a O -100
3 O -100
if O -100
they O -100
had O -100
cooked O -100
our O -100
stuff O -100
to O -100
order O -100
. O -100
There O -100
are O -100
plenty O -100
of O -100
M O -100
& O -100
E O -100
' O -100
s O -100
in O -100
town O -100
who O -100
do O -100
things O -100
more O -100
consistently O -100
. O -100

Okay O -100
, O -100
I O -100
' O -100
m O -100
going O -100
to O -100
get O -100
the O -100
bad O -100
out O -100
of O -100
the O -100
way O -100
first O -100
. O -100
I O -100
have O -100
never O -100
been O -100
to O -100
restaurant O -100
where O -100
the O -100
non O -100
alcoholic O -100
beverages O -100
weren O -100
' O -100
t O -100
listed O -100
. O -100
Until O -100
here O -100
. O -100
2 O -100
pages O -100
of O -100
boozy O -100
drinks O -100
but O -100
not O -100
even O -100
the O -100
hint O -100
of O -100
what O -100
their O -100
non O -100
booze O -100
offerings O -100
were O -100
. O -100
Maybe O -100
if O -100
we O -100
' O -100
d O -100
shown O -100
up O -100
with O -100
a O -100
kid O -100
or O -100
stroller O -100
, O -100
we O -100
' O -100
d O -100
have O -100
gotten O -100
the O -100
non O -100
alcoholic O -100
offerings O -100
. O -100
I O -100
probably O -100
wouldn O -100
' O -100
t O -100
have O -100
gotten O -100
so O -100
bent O -100
out O -100
of O -100
shape O -100
about O -100
it O -100
if O -100
the O -100
waiter B-ASP -100
hadn O -100
' O -100
t O -100
been O -100
a O -100
little O -100
taken O -100
aback O -100
that O -100
we O -100
asked O -100
about O -100
them O -100
. O -100
Now O -100
, O -100
onto O -100
the O -100
food O -100
. O -100
We O -100
all O -100
ordered O -100
burgers O -100
. O -100
And O -100
, O -100
for O -100
the O -100
most O -100
part O -100
, O -100
were O -100
happy O -100
with O -100
our O -100
choices B-ASP -100
. O -100
I O -100
had O -100
the O -100
Aunt O -100
Patty B-ASP -100
which O -100
was O -100
very O -100
tasty O -100
. O -100
The O -100
boyfriend O -100
had O -100
a O -100
bodacious O -100
bacon O -100
burger O -100
. O -100
Dad O -100
got O -100
the O -100
Texas O -100
ranger O -100
( O -100
which O -100
he O -100
loved O -100
) O -100
and O -100
Mom O -100
had O -100
a O -100
basic O -100
burger O -100
. O -100
They B-ASP Positive
were O -100
all O -100
nice O -100
burgers O -100
. O -100
. O -100
. O -100
our O -100
issue O -100
was O -100
that O -100
none O -100
of O -100
them O -100
came O -100
cooked O -100
as O -100
we O -100
ordered O -100
. O -100
All O -100
were O -100
cooked O -100
well O -100
done O -100
. O -100
We O -100
had O -100
3 O -100
mediums O -100
and O -100
a O -100
medium O -100
well O -100
in O -100
our O -100
group O -100
. O -100
I O -100
' O -100
d O -100
have O -100
kicked O -100
the O -100
review O -100
up O -100
to O -100
a O -100
3 O -100
if O -100
they O -100
had O -100
cooked O -100
our O -100
stuff O -100
to O -100
order O -100
. O -100
There O -100
are O -100
plenty O -100
of O -100
M O -100
& O -100
E O -100
' O -100
s O -100
in O -100
town O -100
who O -100
do O -100
things O -100
more O -100
consistently O -100
. O -100

Went O -100
to O -100
Haru O -100
with O -100
a O -100
bunch O -100
of O -100
old O -100
and O -100
new O -100
friends O -100
last O -100
night O -100
. O -100
it O -100
was O -100
part O -100
of O -100
my O -100
" O -100
get O -100
me O -100
the O -100
f O -100
outta O -100
here O -100
" O -100
regimen O -100
. O -100
By O -100
soaking O -100
myself O -100
in O -100
sushi O -100
goodness O -100
, O -100
I O -100
might O -100
forget O -100
that O -100
I O -100
have O -100
to O -100
pack O -100
still O -100
, O -100
have O -100
10 O -100
, O -100
000 O -100
emails O -100
that O -100
piled O -100
up O -100
during O -100
my O -100
5 O -100
days O -100
of O -100
death O -100
by O -100
powerpoint O -100
. O -100
Anyway O -100
, O -100
the O -100
sushi B-ASP Positive
here O -100
was O -100
tremendous O -100
. O -100
The O -100
edamame B-ASP -100
was O -100
HUGE O -100
but O -100
could O -100
have O -100
used O -100
a O -100
little O -100
more O -100
salt O -100
on O -100
the O -100
top O -100
and O -100
a O -100
little O -100
less O -100
on O -100
the O -100
bottom O -100
( O -100
suggesting O -100
that O -100
it O -100
sat O -100
f O -100
or O -100
a O -100
while O -100
? O -100
) O -100
but O -100
overall O -100
the O -100
food B-ASP -100
here O -100
was O -100
fantastic O -100
. O -100
We O -100
had O -100
a O -100
big O -100
party O -100
, O -100
split O -100
the O -100
tables O -100
and O -100
the O -100
other O -100
side O -100
had O -100
food O -100
coming O -100
all O -100
night O -100
long O -100
. O -100
We O -100
opted O -100
for O -100
a O -100
bit O -100
more O -100
conservative O -100
approach O -100
, O -100
ordering O -100
a O -100
big O -100
tray O -100
of O -100
about O -100
5 O -100
rolls O -100
( O -100
including O -100
the O -100
Bostonian B-ASP -100
[ O -100
? O -100
] O -100
which O -100
was O -100
FANTASTIC O -100
) O -100
. O -100
There O -100
really O -100
wasn O -100
' O -100
t O -100
anything B-ASP -100
there O -100
that O -100
wasn O -100
' O -100
t O -100
really O -100
quite O -100
delicious O -100
. O -100
Try O -100
the O -100
Kiss O -100
of O -100
Fire O -100
but O -100
I O -100
have O -100
to O -100
warn O -100
you O -100
, O -100
there O -100
' O -100
s O -100
a O -100
fuse O -100
on O -100
that O -100
fire O -100
. O -100
It O -100
hits O -100
you O -100
about O -100
your O -100
third O -100
piece O -100
in O -100
. O -100
. O -100
. O -100
The O -100
service B-ASP -100
was O -100
great O -100
. O -100
We O -100
ran O -100
that O -100
poor O -100
girl O -100
' O -100
s O -100
legs O -100
completely O -100
off O -100
. O -100
But O -100
again O -100
, O -100
order O -100
a O -100
Diet O -100
Coke O -100
and O -100
you O -100
' O -100
ll O -100
get O -100
" O -100
is O -100
Diet O -100
Pepsi O -100
ok O -100
? O -100
" O -100
. O -100
My O -100
typical O -100
response O -100
is O -100
, O -100
" O -100
well O -100
, O -100
is O -100
paying O -100
in O -100
Chinese O -100
Yen O -100
ok O -100
? O -100
" O -100
. O -100
. O -100
. O -100
you O -100
get O -100
the O -100
idea O -100
. O -100
All O -100
in O -100
all O -100
, O -100
good O -100
friends O -100
, O -100
good O -100
times B-ASP -100
, O -100
good O -100
sushi B-ASP -100
. O -100
A O -100
solid O -100
4 O -100
. O -100

Went O -100
to O -100
Haru O -100
with O -100
a O -100
bunch O -100
of O -100
old O -100
and O -100
new O -100
friends O -100
last O -100
night O -100
. O -100
it O -100
was O -100
part O -100
of O -100
my O -100
" O -100
get O -100
me O -100
the O -100
f O -100
outta O -100
here O -100
" O -100
regimen O -100
. O -100
By O -100
soaking O -100
myself O -100
in O -100
sushi O -100
goodness O -100
, O -100
I O -100
might O -100
forget O -100
that O -100
I O -100
have O -100
to O -100
pack O -100
still O -100
, O -100
have O -100
10 O -100
, O -100
000 O -100
emails O -100
that O -100
piled O -100
up O -100
during O -100
my O -100
5 O -100
days O -100
of O -100
death O -100
by O -100
powerpoint O -100
. O -100
Anyway O -100
, O -100
the O -100
sushi B-ASP -100
here O -100
was O -100
tremendous O -100
. O -100
The O -100
edamame B-ASP Neutral
was O -100
HUGE O -100
but O -100
could O -100
have O -100
used O -100
a O -100
little O -100
more O -100
salt O -100
on O -100
the O -100
top O -100
and O -100
a O -100
little O -100
less O -100
on O -100
the O -100
bottom O -100
( O -100
suggesting O -100
that O -100
it O -100
sat O -100
f O -100
or O -100
a O -100
while O -100
? O -100
) O -100
but O -100
overall O -100
the O -100
food B-ASP -100
here O -100
was O -100
fantastic O -100
. O -100
We O -100
had O -100
a O -100
big O -100
party O -100
, O -100
split O -100
the O -100
tables O -100
and O -100
the O -100
other O -100
side O -100
had O -100
food O -100
coming O -100
all O -100
night O -100
long O -100
. O -100
We O -100
opted O -100
for O -100
a O -100
bit O -100
more O -100
conservative O -100
approach O -100
, O -100
ordering O -100
a O -100
big O -100
tray O -100
of O -100
about O -100
5 O -100
rolls O -100
( O -100
including O -100
the O -100
Bostonian B-ASP -100
[ O -100
? O -100
] O -100
which O -100
was O -100
FANTASTIC O -100
) O -100
. O -100
There O -100
really O -100
wasn O -100
' O -100
t O -100
anything B-ASP -100
there O -100
that O -100
wasn O -100
' O -100
t O -100
really O -100
quite O -100
delicious O -100
. O -100
Try O -100
the O -100
Kiss O -100
of O -100
Fire O -100
but O -100
I O -100
have O -100
to O -100
warn O -100
you O -100
, O -100
there O -100
' O -100
s O -100
a O -100
fuse O -100
on O -100
that O -100
fire O -100
. O -100
It O -100
hits O -100
you O -100
about O -100
your O -100
third O -100
piece O -100
in O -100
. O -100
. O -100
. O -100
The O -100
service B-ASP -100
was O -100
great O -100
. O -100
We O -100
ran O -100
that O -100
poor O -100
girl O -100
' O -100
s O -100
legs O -100
completely O -100
off O -100
. O -100
But O -100
again O -100
, O -100
order O -100
a O -100
Diet O -100
Coke O -100
and O -100
you O -100
' O -100
ll O -100
get O -100
" O -100
is O -100
Diet O -100
Pepsi O -100
ok O -100
? O -100
" O -100
. O -100
My O -100
typical O -100
response O -100
is O -100
, O -100
" O -100
well O -100
, O -100
is O -100
paying O -100
in O -100
Chinese O -100
Yen O -100
ok O -100
? O -100
" O -100
. O -100
. O -100
. O -100
you O -100
get O -100
the O -100
idea O -100
. O -100
All O -100
in O -100
all O -100
, O -100
good O -100
friends O -100
, O -100
good O -100
times B-ASP -100
, O -100
good O -100
sushi B-ASP -100
. O -100
A O -100
solid O -100
4 O -100
. O -100

Went O -100
to O -100
Haru O -100
with O -100
a O -100
bunch O -100
of O -100
old O -100
and O -100
new O -100
friends O -100
last O -100
night O -100
. O -100
it O -100
was O -100
part O -100
of O -100
my O -100
" O -100
get O -100
me O -100
the O -100
f O -100
outta O -100
here O -100
" O -100
regimen O -100
. O -100
By O -100
soaking O -100
myself O -100
in O -100
sushi O -100
goodness O -100
, O -100
I O -100
might O -100
forget O -100
that O -100
I O -100
have O -100
to O -100
pack O -100
still O -100
, O -100
have O -100
10 O -100
, O -100
000 O -100
emails O -100
that O -100
piled O -100
up O -100
during O -100
my O -100
5 O -100
days O -100
of O -100
death O -100
by O -100
powerpoint O -100
. O -100
Anyway O -100
, O -100
the O -100
sushi B-ASP -100
here O -100
was O -100
tremendous O -100
. O -100
The O -100
edamame B-ASP -100
was O -100
HUGE O -100
but O -100
could O -100
have O -100
used O -100
a O -100
little O -100
more O -100
salt O -100
on O -100
the O -100
top O -100
and O -100
a O -100
little O -100
less O -100
on O -100
the O -100
bottom O -100
( O -100
suggesting O -100
that O -100
it O -100
sat O -100
f O -100
or O -100
a O -100
while O -100
? O -100
) O -100
but O -100
overall O -100
the O -100
food B-ASP Positive
here O -100
was O -100
fantastic O -100
. O -100
We O -100
had O -100
a O -100
big O -100
party O -100
, O -100
split O -100
the O -100
tables O -100
and O -100
the O -100
other O -100
side O -100
had O -100
food O -100
coming O -100
all O -100
night O -100
long O -100
. O -100
We O -100
opted O -100
for O -100
a O -100
bit O -100
more O -100
conservative O -100
approach O -100
, O -100
ordering O -100
a O -100
big O -100
tray O -100
of O -100
about O -100
5 O -100
rolls O -100
( O -100
including O -100
the O -100
Bostonian B-ASP -100
[ O -100
? O -100
] O -100
which O -100
was O -100
FANTASTIC O -100
) O -100
. O -100
There O -100
really O -100
wasn O -100
' O -100
t O -100
anything B-ASP -100
there O -100
that O -100
wasn O -100
' O -100
t O -100
really O -100
quite O -100
delicious O -100
. O -100
Try O -100
the O -100
Kiss O -100
of O -100
Fire O -100
but O -100
I O -100
have O -100
to O -100
warn O -100
you O -100
, O -100
there O -100
' O -100
s O -100
a O -100
fuse O -100
on O -100
that O -100
fire O -100
. O -100
It O -100
hits O -100
you O -100
about O -100
your O -100
third O -100
piece O -100
in O -100
. O -100
. O -100
. O -100
The O -100
service B-ASP -100
was O -100
great O -100
. O -100
We O -100
ran O -100
that O -100
poor O -100
girl O -100
' O -100
s O -100
legs O -100
completely O -100
off O -100
. O -100
But O -100
again O -100
, O -100
order O -100
a O -100
Diet O -100
Coke O -100
and O -100
you O -100
' O -100
ll O -100
get O -100
" O -100
is O -100
Diet O -100
Pepsi O -100
ok O -100
? O -100
" O -100
. O -100
My O -100
typical O -100
response O -100
is O -100
, O -100
" O -100
well O -100
, O -100
is O -100
paying O -100
in O -100
Chinese O -100
Yen O -100
ok O -100
? O -100
" O -100
. O -100
. O -100
. O -100
you O -100
get O -100
the O -100
idea O -100
. O -100
All O -100
in O -100
all O -100
, O -100
good O -100
friends O -100
, O -100
good O -100
times B-ASP -100
, O -100
good O -100
sushi B-ASP -100
. O -100
A O -100
solid O -100
4 O -100
. O -100

Went O -100
to O -100
Haru O -100
with O -100
a O -100
bunch O -100
of O -100
old O -100
and O -100
new O -100
friends O -100
last O -100
night O -100
. O -100
it O -100
was O -100
part O -100
of O -100
my O -100
" O -100
get O -100
me O -100
the O -100
f O -100
outta O -100
here O -100
" O -100
regimen O -100
. O -100
By O -100
soaking O -100
myself O -100
in O -100
sushi O -100
goodness O -100
, O -100
I O -100
might O -100
forget O -100
that O -100
I O -100
have O -100
to O -100
pack O -100
still O -100
, O -100
have O -100
10 O -100
, O -100
000 O -100
emails O -100
that O -100
piled O -100
up O -100
during O -100
my O -100
5 O -100
days O -100
of O -100
death O -100
by O -100
powerpoint O -100
. O -100
Anyway O -100
, O -100
the O -100
sushi B-ASP -100
here O -100
was O -100
tremendous O -100
. O -100
The O -100
edamame B-ASP -100
was O -100
HUGE O -100
but O -100
could O -100
have O -100
used O -100
a O -100
little O -100
more O -100
salt O -100
on O -100
the O -100
top O -100
and O -100
a O -100
little O -100
less O -100
on O -100
the O -100
bottom O -100
( O -100
suggesting O -100
that O -100
it O -100
sat O -100
f O -100
or O -100
a O -100
while O -100
? O -100
) O -100
but O -100
overall O -100
the O -100
food B-ASP -100
here O -100
was O -100
fantastic O -100
. O -100
We O -100
had O -100
a O -100
big O -100
party O -100
, O -100
split O -100
the O -100
tables O -100
and O -100
the O -100
other O -100
side O -100
had O -100
food O -100
coming O -100
all O -100
night O -100
long O -100
. O -100
We O -100
opted O -100
for O -100
a O -100
bit O -100
more O -100
conservative O -100
approach O -100
, O -100
ordering O -100
a O -100
big O -100
tray O -100
of O -100
about O -100
5 O -100
rolls O -100
( O -100
including O -100
the O -100
Bostonian B-ASP Positive
[ O -100
? O -100
] O -100
which O -100
was O -100
FANTASTIC O -100
) O -100
. O -100
There O -100
really O -100
wasn O -100
' O -100
t O -100
anything B-ASP -100
there O -100
that O -100
wasn O -100
' O -100
t O -100
really O -100
quite O -100
delicious O -100
. O -100
Try O -100
the O -100
Kiss O -100
of O -100
Fire O -100
but O -100
I O -100
have O -100
to O -100
warn O -100
you O -100
, O -100
there O -100
' O -100
s O -100
a O -100
fuse O -100
on O -100
that O -100
fire O -100
. O -100
It O -100
hits O -100
you O -100
about O -100
your O -100
third O -100
piece O -100
in O -100
. O -100
. O -100
. O -100
The O -100
service B-ASP -100
was O -100
great O -100
. O -100
We O -100
ran O -100
that O -100
poor O -100
girl O -100
' O -100
s O -100
legs O -100
completely O -100
off O -100
. O -100
But O -100
again O -100
, O -100
order O -100
a O -100
Diet O -100
Coke O -100
and O -100
you O -100
' O -100
ll O -100
get O -100
" O -100
is O -100
Diet O -100
Pepsi O -100
ok O -100
? O -100
" O -100
. O -100
My O -100
typical O -100
response O -100
is O -100
, O -100
" O -100
well O -100
, O -100
is O -100
paying O -100
in O -100
Chinese O -100
Yen O -100
ok O -100
? O -100
" O -100
. O -100
. O -100
. O -100
you O -100
get O -100
the O -100
idea O -100
. O -100
All O -100
in O -100
all O -100
, O -100
good O -100
friends O -100
, O -100
good O -100
times B-ASP -100
, O -100
good O -100
sushi B-ASP -100
. O -100
A O -100
solid O -100
4 O -100
. O -100

Went O -100
to O -100
Haru O -100
with O -100
a O -100
bunch O -100
of O -100
old O -100
and O -100
new O -100
friends O -100
last O -100
night O -100
. O -100
it O -100
was O -100
part O -100
of O -100
my O -100
" O -100
get O -100
me O -100
the O -100
f O -100
outta O -100
here O -100
" O -100
regimen O -100
. O -100
By O -100
soaking O -100
myself O -100
in O -100
sushi O -100
goodness O -100
, O -100
I O -100
might O -100
forget O -100
that O -100
I O -100
have O -100
to O -100
pack O -100
still O -100
, O -100
have O -100
10 O -100
, O -100
000 O -100
emails O -100
that O -100
piled O -100
up O -100
during O -100
my O -100
5 O -100
days O -100
of O -100
death O -100
by O -100
powerpoint O -100
. O -100
Anyway O -100
, O -100
the O -100
sushi B-ASP -100
here O -100
was O -100
tremendous O -100
. O -100
The O -100
edamame B-ASP -100
was O -100
HUGE O -100
but O -100
could O -100
have O -100
used O -100
a O -100
little O -100
more O -100
salt O -100
on O -100
the O -100
top O -100
and O -100
a O -100
little O -100
less O -100
on O -100
the O -100
bottom O -100
( O -100
suggesting O -100
that O -100
it O -100
sat O -100
f O -100
or O -100
a O -100
while O -100
? O -100
) O -100
but O -100
overall O -100
the O -100
food B-ASP -100
here O -100
was O -100
fantastic O -100
. O -100
We O -100
had O -100
a O -100
big O -100
party O -100
, O -100
split O -100
the O -100
tables O -100
and O -100
the O -100
other O -100
side O -100
had O -100
food O -100
coming O -100
all O -100
night O -100
long O -100
. O -100
We O -100
opted O -100
for O -100
a O -100
bit O -100
more O -100
conservative O -100
approach O -100
, O -100
ordering O -100
a O -100
big O -100
tray O -100
of O -100
about O -100
5 O -100
rolls O -100
( O -100
including O -100
the O -100
Bostonian B-ASP -100
[ O -100
? O -100
] O -100
which O -100
was O -100
FANTASTIC O -100
) O -100
. O -100
There O -100
really O -100
wasn O -100
' O -100
t O -100
anything B-ASP Positive
there O -100
that O -100
wasn O -100
' O -100
t O -100
really O -100
quite O -100
delicious O -100
. O -100
Try O -100
the O -100
Kiss O -100
of O -100
Fire O -100
but O -100
I O -100
have O -100
to O -100
warn O -100
you O -100
, O -100
there O -100
' O -100
s O -100
a O -100
fuse O -100
on O -100
that O -100
fire O -100
. O -100
It O -100
hits O -100
you O -100
about O -100
your O -100
third O -100
piece O -100
in O -100
. O -100
. O -100
. O -100
The O -100
service B-ASP -100
was O -100
great O -100
. O -100
We O -100
ran O -100
that O -100
poor O -100
girl O -100
' O -100
s O -100
legs O -100
completely O -100
off O -100
. O -100
But O -100
again O -100
, O -100
order O -100
a O -100
Diet O -100
Coke O -100
and O -100
you O -100
' O -100
ll O -100
get O -100
" O -100
is O -100
Diet O -100
Pepsi O -100
ok O -100
? O -100
" O -100
. O -100
My O -100
typical O -100
response O -100
is O -100
, O -100
" O -100
well O -100
, O -100
is O -100
paying O -100
in O -100
Chinese O -100
Yen O -100
ok O -100
? O -100
" O -100
. O -100
. O -100
. O -100
you O -100
get O -100
the O -100
idea O -100
. O -100
All O -100
in O -100
all O -100
, O -100
good O -100
friends O -100
, O -100
good O -100
times B-ASP -100
, O -100
good O -100
sushi B-ASP -100
. O -100
A O -100
solid O -100
4 O -100
. O -100

Went O -100
to O -100
Haru O -100
with O -100
a O -100
bunch O -100
of O -100
old O -100
and O -100
new O -100
friends O -100
last O -100
night O -100
. O -100
it O -100
was O -100
part O -100
of O -100
my O -100
" O -100
get O -100
me O -100
the O -100
f O -100
outta O -100
here O -100
" O -100
regimen O -100
. O -100
By O -100
soaking O -100
myself O -100
in O -100
sushi O -100
goodness O -100
, O -100
I O -100
might O -100
forget O -100
that O -100
I O -100
have O -100
to O -100
pack O -100
still O -100
, O -100
have O -100
10 O -100
, O -100
000 O -100
emails O -100
that O -100
piled O -100
up O -100
during O -100
my O -100
5 O -100
days O -100
of O -100
death O -100
by O -100
powerpoint O -100
. O -100
Anyway O -100
, O -100
the O -100
sushi B-ASP -100
here O -100
was O -100
tremendous O -100
. O -100
The O -100
edamame B-ASP -100
was O -100
HUGE O -100
but O -100
could O -100
have O -100
used O -100
a O -100
little O -100
more O -100
salt O -100
on O -100
the O -100
top O -100
and O -100
a O -100
little O -100
less O -100
on O -100
the O -100
bottom O -100
( O -100
suggesting O -100
that O -100
it O -100
sat O -100
f O -100
or O -100
a O -100
while O -100
? O -100
) O -100
but O -100
overall O -100
the O -100
food B-ASP -100
here O -100
was O -100
fantastic O -100
. O -100
We O -100
had O -100
a O -100
big O -100
party O -100
, O -100
split O -100
the O -100
tables O -100
and O -100
the O -100
other O -100
side O -100
had O -100
food O -100
coming O -100
all O -100
night O -100
long O -100
. O -100
We O -100
opted O -100
for O -100
a O -100
bit O -100
more O -100
conservative O -100
approach O -100
, O -100
ordering O -100
a O -100
big O -100
tray O -100
of O -100
about O -100
5 O -100
rolls O -100
( O -100
including O -100
the O -100
Bostonian B-ASP -100
[ O -100
? O -100
] O -100
which O -100
was O -100
FANTASTIC O -100
) O -100
. O -100
There O -100
really O -100
wasn O -100
' O -100
t O -100
anything B-ASP -100
there O -100
that O -100
wasn O -100
' O -100
t O -100
really O -100
quite O -100
delicious O -100
. O -100
Try O -100
the O -100
Kiss O -100
of O -100
Fire O -100
but O -100
I O -100
have O -100
to O -100
warn O -100
you O -100
, O -100
there O -100
' O -100
s O -100
a O -100
fuse O -100
on O -100
that O -100
fire O -100
. O -100
It O -100
hits O -100
you O -100
about O -100
your O -100
third O -100
piece O -100
in O -100
. O -100
. O -100
. O -100
The O -100
service B-ASP Positive
was O -100
great O -100
. O -100
We O -100
ran O -100
that O -100
poor O -100
girl O -100
' O -100
s O -100
legs O -100
completely O -100
off O -100
. O -100
But O -100
again O -100
, O -100
order O -100
a O -100
Diet O -100
Coke O -100
and O -100
you O -100
' O -100
ll O -100
get O -100
" O -100
is O -100
Diet O -100
Pepsi O -100
ok O -100
? O -100
" O -100
. O -100
My O -100
typical O -100
response O -100
is O -100
, O -100
" O -100
well O -100
, O -100
is O -100
paying O -100
in O -100
Chinese O -100
Yen O -100
ok O -100
? O -100
" O -100
. O -100
. O -100
. O -100
you O -100
get O -100
the O -100
idea O -100
. O -100
All O -100
in O -100
all O -100
, O -100
good O -100
friends O -100
, O -100
good O -100
times B-ASP -100
, O -100
good O -100
sushi B-ASP -100
. O -100
A O -100
solid O -100
4 O -100
. O -100

Went O -100
to O -100
Haru O -100
with O -100
a O -100
bunch O -100
of O -100
old O -100
and O -100
new O -100
friends O -100
last O -100
night O -100
. O -100
it O -100
was O -100
part O -100
of O -100
my O -100
" O -100
get O -100
me O -100
the O -100
f O -100
outta O -100
here O -100
" O -100
regimen O -100
. O -100
By O -100
soaking O -100
myself O -100
in O -100
sushi O -100
goodness O -100
, O -100
I O -100
might O -100
forget O -100
that O -100
I O -100
have O -100
to O -100
pack O -100
still O -100
, O -100
have O -100
10 O -100
, O -100
000 O -100
emails O -100
that O -100
piled O -100
up O -100
during O -100
my O -100
5 O -100
days O -100
of O -100
death O -100
by O -100
powerpoint O -100
. O -100
Anyway O -100
, O -100
the O -100
sushi B-ASP -100
here O -100
was O -100
tremendous O -100
. O -100
The O -100
edamame B-ASP -100
was O -100
HUGE O -100
but O -100
could O -100
have O -100
used O -100
a O -100
little O -100
more O -100
salt O -100
on O -100
the O -100
top O -100
and O -100
a O -100
little O -100
less O -100
on O -100
the O -100
bottom O -100
( O -100
suggesting O -100
that O -100
it O -100
sat O -100
f O -100
or O -100
a O -100
while O -100
? O -100
) O -100
but O -100
overall O -100
the O -100
food B-ASP -100
here O -100
was O -100
fantastic O -100
. O -100
We O -100
had O -100
a O -100
big O -100
party O -100
, O -100
split O -100
the O -100
tables O -100
and O -100
the O -100
other O -100
side O -100
had O -100
food O -100
coming O -100
all O -100
night O -100
long O -100
. O -100
We O -100
opted O -100
for O -100
a O -100
bit O -100
more O -100
conservative O -100
approach O -100
, O -100
ordering O -100
a O -100
big O -100
tray O -100
of O -100
about O -100
5 O -100
rolls O -100
( O -100
including O -100
the O -100
Bostonian B-ASP -100
[ O -100
? O -100
] O -100
which O -100
was O -100
FANTASTIC O -100
) O -100
. O -100
There O -100
really O -100
wasn O -100
' O -100
t O -100
anything B-ASP -100
there O -100
that O -100
wasn O -100
' O -100
t O -100
really O -100
quite O -100
delicious O -100
. O -100
Try O -100
the O -100
Kiss O -100
of O -100
Fire O -100
but O -100
I O -100
have O -100
to O -100
warn O -100
you O -100
, O -100
there O -100
' O -100
s O -100
a O -100
fuse O -100
on O -100
that O -100
fire O -100
. O -100
It O -100
hits O -100
you O -100
about O -100
your O -100
third O -100
piece O -100
in O -100
. O -100
. O -100
. O -100
The O -100
service B-ASP -100
was O -100
great O -100
. O -100
We O -100
ran O -100
that O -100
poor O -100
girl O -100
' O -100
s O -100
legs O -100
completely O -100
off O -100
. O -100
But O -100
again O -100
, O -100
order O -100
a O -100
Diet O -100
Coke O -100
and O -100
you O -100
' O -100
ll O -100
get O -100
" O -100
is O -100
Diet O -100
Pepsi O -100
ok O -100
? O -100
" O -100
. O -100
My O -100
typical O -100
response O -100
is O -100
, O -100
" O -100
well O -100
, O -100
is O -100
paying O -100
in O -100
Chinese O -100
Yen O -100
ok O -100
? O -100
" O -100
. O -100
. O -100
. O -100
you O -100
get O -100
the O -100
idea O -100
. O -100
All O -100
in O -100
all O -100
, O -100
good O -100
friends O -100
, O -100
good O -100
times B-ASP Positive
, O -100
good O -100
sushi B-ASP -100
. O -100
A O -100
solid O -100
4 O -100
. O -100

Went O -100
to O -100
Haru O -100
with O -100
a O -100
bunch O -100
of O -100
old O -100
and O -100
new O -100
friends O -100
last O -100
night O -100
. O -100
it O -100
was O -100
part O -100
of O -100
my O -100
" O -100
get O -100
me O -100
the O -100
f O -100
outta O -100
here O -100
" O -100
regimen O -100
. O -100
By O -100
soaking O -100
myself O -100
in O -100
sushi O -100
goodness O -100
, O -100
I O -100
might O -100
forget O -100
that O -100
I O -100
have O -100
to O -100
pack O -100
still O -100
, O -100
have O -100
10 O -100
, O -100
000 O -100
emails O -100
that O -100
piled O -100
up O -100
during O -100
my O -100
5 O -100
days O -100
of O -100
death O -100
by O -100
powerpoint O -100
. O -100
Anyway O -100
, O -100
the O -100
sushi B-ASP -100
here O -100
was O -100
tremendous O -100
. O -100
The O -100
edamame B-ASP -100
was O -100
HUGE O -100
but O -100
could O -100
have O -100
used O -100
a O -100
little O -100
more O -100
salt O -100
on O -100
the O -100
top O -100
and O -100
a O -100
little O -100
less O -100
on O -100
the O -100
bottom O -100
( O -100
suggesting O -100
that O -100
it O -100
sat O -100
f O -100
or O -100
a O -100
while O -100
? O -100
) O -100
but O -100
overall O -100
the O -100
food B-ASP -100
here O -100
was O -100
fantastic O -100
. O -100
We O -100
had O -100
a O -100
big O -100
party O -100
, O -100
split O -100
the O -100
tables O -100
and O -100
the O -100
other O -100
side O -100
had O -100
food O -100
coming O -100
all O -100
night O -100
long O -100
. O -100
We O -100
opted O -100
for O -100
a O -100
bit O -100
more O -100
conservative O -100
approach O -100
, O -100
ordering O -100
a O -100
big O -100
tray O -100
of O -100
about O -100
5 O -100
rolls O -100
( O -100
including O -100
the O -100
Bostonian B-ASP -100
[ O -100
? O -100
] O -100
which O -100
was O -100
FANTASTIC O -100
) O -100
. O -100
There O -100
really O -100
wasn O -100
' O -100
t O -100
anything B-ASP -100
there O -100
that O -100
wasn O -100
' O -100
t O -100
really O -100
quite O -100
delicious O -100
. O -100
Try O -100
the O -100
Kiss O -100
of O -100
Fire O -100
but O -100
I O -100
have O -100
to O -100
warn O -100
you O -100
, O -100
there O -100
' O -100
s O -100
a O -100
fuse O -100
on O -100
that O -100
fire O -100
. O -100
It O -100
hits O -100
you O -100
about O -100
your O -100
third O -100
piece O -100
in O -100
. O -100
. O -100
. O -100
The O -100
service B-ASP -100
was O -100
great O -100
. O -100
We O -100
ran O -100
that O -100
poor O -100
girl O -100
' O -100
s O -100
legs O -100
completely O -100
off O -100
. O -100
But O -100
again O -100
, O -100
order O -100
a O -100
Diet O -100
Coke O -100
and O -100
you O -100
' O -100
ll O -100
get O -100
" O -100
is O -100
Diet O -100
Pepsi O -100
ok O -100
? O -100
" O -100
. O -100
My O -100
typical O -100
response O -100
is O -100
, O -100
" O -100
well O -100
, O -100
is O -100
paying O -100
in O -100
Chinese O -100
Yen O -100
ok O -100
? O -100
" O -100
. O -100
. O -100
. O -100
you O -100
get O -100
the O -100
idea O -100
. O -100
All O -100
in O -100
all O -100
, O -100
good O -100
friends O -100
, O -100
good O -100
times B-ASP -100
, O -100
good O -100
sushi B-ASP Positive
. O -100
A O -100
solid O -100
4 O -100
. O -100

The O -100
food B-ASP Positive
at O -100
Lavaca O -100
street O -100
bar O -100
/ O -100
surf O -100
and O -100
turf O -100
restaurant O -100
is O -100
very O -100
tasty O -100
. O -100
The O -100
wait B-ASP -100
during O -100
lunch O -100
is O -100
tolerable O -100
; O -100
which O -100
is O -100
a O -100
rare O -100
find O -100
during O -100
the O -100
lunch O -100
hour O -100
. O -100
. O -100
. O -100
. O -100
however O -100
, O -100
me O -100
and O -100
several O -100
of O -100
my O -100
devoted O -100
co O -100
workers O -100
would O -100
appreciate O -100
if O -100
the O -100
full O -100
menu O -100
was O -100
served O -100
before O -100
3 O -100
PM O -100
. O -100
There O -100
have O -100
been O -100
multiple O -100
occasions O -100
during O -100
which O -100
this O -100
location O -100
has O -100
lost O -100
service O -100
due O -100
to O -100
the O -100
lack O -100
of O -100
full O -100
menu O -100
during O -100
working O -100
hours O -100
. O -100
The O -100
tatted O -100
bartender B-ASP -100
has O -100
been O -100
incredibly O -100
welcoming O -100
and O -100
apologetic O -100
during O -100
( O -100
lack O -100
of O -100
lunch O -100
service O -100
) O -100
and O -100
at O -100
these O -100
times O -100
. O -100
He B-ASP -100
should O -100
be O -100
recognized O -100
for O -100
his O -100
great O -100
efforts O -100
for O -100
maintaining O -100
service B-ASP -100
at O -100
this O -100
establishment O -100
. O -100

The O -100
food B-ASP -100
at O -100
Lavaca O -100
street O -100
bar O -100
/ O -100
surf O -100
and O -100
turf O -100
restaurant O -100
is O -100
very O -100
tasty O -100
. O -100
The O -100
wait B-ASP Neutral
during O -100
lunch O -100
is O -100
tolerable O -100
; O -100
which O -100
is O -100
a O -100
rare O -100
find O -100
during O -100
the O -100
lunch O -100
hour O -100
. O -100
. O -100
. O -100
. O -100
however O -100
, O -100
me O -100
and O -100
several O -100
of O -100
my O -100
devoted O -100
co O -100
workers O -100
would O -100
appreciate O -100
if O -100
the O -100
full O -100
menu O -100
was O -100
served O -100
before O -100
3 O -100
PM O -100
. O -100
There O -100
have O -100
been O -100
multiple O -100
occasions O -100
during O -100
which O -100
this O -100
location O -100
has O -100
lost O -100
service O -100
due O -100
to O -100
the O -100
lack O -100
of O -100
full O -100
menu O -100
during O -100
working O -100
hours O -100
. O -100
The O -100
tatted O -100
bartender B-ASP -100
has O -100
been O -100
incredibly O -100
welcoming O -100
and O -100
apologetic O -100
during O -100
( O -100
lack O -100
of O -100
lunch O -100
service O -100
) O -100
and O -100
at O -100
these O -100
times O -100
. O -100
He B-ASP -100
should O -100
be O -100
recognized O -100
for O -100
his O -100
great O -100
efforts O -100
for O -100
maintaining O -100
service B-ASP -100
at O -100
this O -100
establishment O -100
. O -100

The O -100
food B-ASP -100
at O -100
Lavaca O -100
street O -100
bar O -100
/ O -100
surf O -100
and O -100
turf O -100
restaurant O -100
is O -100
very O -100
tasty O -100
. O -100
The O -100
wait B-ASP -100
during O -100
lunch O -100
is O -100
tolerable O -100
; O -100
which O -100
is O -100
a O -100
rare O -100
find O -100
during O -100
the O -100
lunch O -100
hour O -100
. O -100
. O -100
. O -100
. O -100
however O -100
, O -100
me O -100
and O -100
several O -100
of O -100
my O -100
devoted O -100
co O -100
workers O -100
would O -100
appreciate O -100
if O -100
the O -100
full O -100
menu O -100
was O -100
served O -100
before O -100
3 O -100
PM O -100
. O -100
There O -100
have O -100
been O -100
multiple O -100
occasions O -100
during O -100
which O -100
this O -100
location O -100
has O -100
lost O -100
service O -100
due O -100
to O -100
the O -100
lack O -100
of O -100
full O -100
menu O -100
during O -100
working O -100
hours O -100
. O -100
The O -100
tatted O -100
bartender B-ASP Positive
has O -100
been O -100
incredibly O -100
welcoming O -100
and O -100
apologetic O -100
during O -100
( O -100
lack O -100
of O -100
lunch O -100
service O -100
) O -100
and O -100
at O -100
these O -100
times O -100
. O -100
He B-ASP -100
should O -100
be O -100
recognized O -100
for O -100
his O -100
great O -100
efforts O -100
for O -100
maintaining O -100
service B-ASP -100
at O -100
this O -100
establishment O -100
. O -100

The O -100
food B-ASP -100
at O -100
Lavaca O -100
street O -100
bar O -100
/ O -100
surf O -100
and O -100
turf O -100
restaurant O -100
is O -100
very O -100
tasty O -100
. O -100
The O -100
wait B-ASP -100
during O -100
lunch O -100
is O -100
tolerable O -100
; O -100
which O -100
is O -100
a O -100
rare O -100
find O -100
during O -100
the O -100
lunch O -100
hour O -100
. O -100
. O -100
. O -100
. O -100
however O -100
, O -100
me O -100
and O -100
several O -100
of O -100
my O -100
devoted O -100
co O -100
workers O -100
would O -100
appreciate O -100
if O -100
the O -100
full O -100
menu O -100
was O -100
served O -100
before O -100
3 O -100
PM O -100
. O -100
There O -100
have O -100
been O -100
multiple O -100
occasions O -100
during O -100
which O -100
this O -100
location O -100
has O -100
lost O -100
service O -100
due O -100
to O -100
the O -100
lack O -100
of O -100
full O -100
menu O -100
during O -100
working O -100
hours O -100
. O -100
The O -100
tatted O -100
bartender B-ASP -100
has O -100
been O -100
incredibly O -100
welcoming O -100
and O -100
apologetic O -100
during O -100
( O -100
lack O -100
of O -100
lunch O -100
service O -100
) O -100
and O -100
at O -100
these O -100
times O -100
. O -100
He B-ASP Positive
should O -100
be O -100
recognized O -100
for O -100
his O -100
great O -100
efforts O -100
for O -100
maintaining O -100
service B-ASP -100
at O -100
this O -100
establishment O -100
. O -100

The O -100
food B-ASP -100
at O -100
Lavaca O -100
street O -100
bar O -100
/ O -100
surf O -100
and O -100
turf O -100
restaurant O -100
is O -100
very O -100
tasty O -100
. O -100
The O -100
wait B-ASP -100
during O -100
lunch O -100
is O -100
tolerable O -100
; O -100
which O -100
is O -100
a O -100
rare O -100
find O -100
during O -100
the O -100
lunch O -100
hour O -100
. O -100
. O -100
. O -100
. O -100
however O -100
, O -100
me O -100
and O -100
several O -100
of O -100
my O -100
devoted O -100
co O -100
workers O -100
would O -100
appreciate O -100
if O -100
the O -100
full O -100
menu O -100
was O -100
served O -100
before O -100
3 O -100
PM O -100
. O -100
There O -100
have O -100
been O -100
multiple O -100
occasions O -100
during O -100
which O -100
this O -100
location O -100
has O -100
lost O -100
service O -100
due O -100
to O -100
the O -100
lack O -100
of O -100
full O -100
menu O -100
during O -100
working O -100
hours O -100
. O -100
The O -100
tatted O -100
bartender B-ASP -100
has O -100
been O -100
incredibly O -100
welcoming O -100
and O -100
apologetic O -100
during O -100
( O -100
lack O -100
of O -100
lunch O -100
service O -100
) O -100
and O -100
at O -100
these O -100
times O -100
. O -100
He B-ASP -100
should O -100
be O -100
recognized O -100
for O -100
his O -100
great O -100
efforts O -100
for O -100
maintaining O -100
service B-ASP Positive
at O -100
this O -100
establishment O -100
. O -100

I O -100
went O -100
to O -100
comedor O -100
with O -100
my O -100
boyfriend O -100
for O -100
date O -100
night O -100
. O -100
I O -100
' O -100
m O -100
a O -100
huge O -100
fan O -100
of O -100
small O -100
plates O -100
, O -100
and O -100
comedor O -100
is O -100
the O -100
perfect O -100
place O -100
for O -100
a O -100
unique O -100
and O -100
eclectic O -100
blend B-ASP Positive
. O -100
The O -100
food B-ASP -100
was O -100
DELICIOUS O -100
, O -100
but O -100
what O -100
was O -100
even O -100
more O -100
awesome O -100
was O -100
the O -100
ambiance B-ASP -100
. O -100
The O -100
place O -100
is O -100
small O -100
, O -100
dimly O -100
lit O -100
, O -100
but O -100
very O -100
lively O -100
. O -100
Tables O -100
were O -100
full O -100
, O -100
but O -100
we O -100
were O -100
able O -100
to O -100
immediately O -100
sit O -100
at O -100
the O -100
bar O -100
. O -100
I O -100
' O -100
m O -100
happy O -100
we O -100
did O -100
, O -100
because O -100
that O -100
' O -100
s O -100
where O -100
all O -100
the O -100
magic O -100
happens O -100
! O -100
The O -100
chefs O -100
cook O -100
right O -100
behind O -100
the O -100
bar O -100
. O -100
Admittedly O -100
, O -100
I O -100
drooled O -100
the O -100
entire O -100
time O -100
while O -100
waiting O -100
for O -100
our O -100
food O -100
. O -100
They O -100
do O -100
give O -100
complimentary O -100
bread O -100
to O -100
start O -100
, O -100
so O -100
I O -100
didn O -100
' O -100
t O -100
drool O -100
for O -100
too O -100
long O -100
. O -100
: O -100
) O -100
Overall O -100
, O -100
this O -100
is O -100
a O -100
cozy O -100
spot B-ASP -100
for O -100
an O -100
intimate O -100
date O -100
night O -100
. O -100

I O -100
went O -100
to O -100
comedor O -100
with O -100
my O -100
boyfriend O -100
for O -100
date O -100
night O -100
. O -100
I O -100
' O -100
m O -100
a O -100
huge O -100
fan O -100
of O -100
small O -100
plates O -100
, O -100
and O -100
comedor O -100
is O -100
the O -100
perfect O -100
place O -100
for O -100
a O -100
unique O -100
and O -100
eclectic O -100
blend B-ASP -100
. O -100
The O -100
food B-ASP Positive
was O -100
DELICIOUS O -100
, O -100
but O -100
what O -100
was O -100
even O -100
more O -100
awesome O -100
was O -100
the O -100
ambiance B-ASP -100
. O -100
The O -100
place O -100
is O -100
small O -100
, O -100
dimly O -100
lit O -100
, O -100
but O -100
very O -100
lively O -100
. O -100
Tables O -100
were O -100
full O -100
, O -100
but O -100
we O -100
were O -100
able O -100
to O -100
immediately O -100
sit O -100
at O -100
the O -100
bar O -100
. O -100
I O -100
' O -100
m O -100
happy O -100
we O -100
did O -100
, O -100
because O -100
that O -100
' O -100
s O -100
where O -100
all O -100
the O -100
magic O -100
happens O -100
! O -100
The O -100
chefs O -100
cook O -100
right O -100
behind O -100
the O -100
bar O -100
. O -100
Admittedly O -100
, O -100
I O -100
drooled O -100
the O -100
entire O -100
time O -100
while O -100
waiting O -100
for O -100
our O -100
food O -100
. O -100
They O -100
do O -100
give O -100
complimentary O -100
bread O -100
to O -100
start O -100
, O -100
so O -100
I O -100
didn O -100
' O -100
t O -100
drool O -100
for O -100
too O -100
long O -100
. O -100
: O -100
) O -100
Overall O -100
, O -100
this O -100
is O -100
a O -100
cozy O -100
spot B-ASP -100
for O -100
an O -100
intimate O -100
date O -100
night O -100
. O -100

I O -100
went O -100
to O -100
comedor O -100
with O -100
my O -100
boyfriend O -100
for O -100
date O -100
night O -100
. O -100
I O -100
' O -100
m O -100
a O -100
huge O -100
fan O -100
of O -100
small O -100
plates O -100
, O -100
and O -100
comedor O -100
is O -100
the O -100
perfect O -100
place O -100
for O -100
a O -100
unique O -100
and O -100
eclectic O -100
blend B-ASP -100
. O -100
The O -100
food B-ASP -100
was O -100
DELICIOUS O -100
, O -100
but O -100
what O -100
was O -100
even O -100
more O -100
awesome O -100
was O -100
the O -100
ambiance B-ASP Positive
. O -100
The O -100
place O -100
is O -100
small O -100
, O -100
dimly O -100
lit O -100
, O -100
but O -100
very O -100
lively O -100
. O -100
Tables O -100
were O -100
full O -100
, O -100
but O -100
we O -100
were O -100
able O -100
to O -100
immediately O -100
sit O -100
at O -100
the O -100
bar O -100
. O -100
I O -100
' O -100
m O -100
happy O -100
we O -100
did O -100
, O -100
because O -100
that O -100
' O -100
s O -100
where O -100
all O -100
the O -100
magic O -100
happens O -100
! O -100
The O -100
chefs O -100
cook O -100
right O -100
behind O -100
the O -100
bar O -100
. O -100
Admittedly O -100
, O -100
I O -100
drooled O -100
the O -100
entire O -100
time O -100
while O -100
waiting O -100
for O -100
our O -100
food O -100
. O -100
They O -100
do O -100
give O -100
complimentary O -100
bread O -100
to O -100
start O -100
, O -100
so O -100
I O -100
didn O -100
' O -100
t O -100
drool O -100
for O -100
too O -100
long O -100
. O -100
: O -100
) O -100
Overall O -100
, O -100
this O -100
is O -100
a O -100
cozy O -100
spot B-ASP -100
for O -100
an O -100
intimate O -100
date O -100
night O -100
. O -100

I O -100
went O -100
to O -100
comedor O -100
with O -100
my O -100
boyfriend O -100
for O -100
date O -100
night O -100
. O -100
I O -100
' O -100
m O -100
a O -100
huge O -100
fan O -100
of O -100
small O -100
plates O -100
, O -100
and O -100
comedor O -100
is O -100
the O -100
perfect O -100
place O -100
for O -100
a O -100
unique O -100
and O -100
eclectic O -100
blend B-ASP -100
. O -100
The O -100
food B-ASP -100
was O -100
DELICIOUS O -100
, O -100
but O -100
what O -100
was O -100
even O -100
more O -100
awesome O -100
was O -100
the O -100
ambiance B-ASP -100
. O -100
The O -100
place O -100
is O -100
small O -100
, O -100
dimly O -100
lit O -100
, O -100
but O -100
very O -100
lively O -100
. O -100
Tables O -100
were O -100
full O -100
, O -100
but O -100
we O -100
were O -100
able O -100
to O -100
immediately O -100
sit O -100
at O -100
the O -100
bar O -100
. O -100
I O -100
' O -100
m O -100
happy O -100
we O -100
did O -100
, O -100
because O -100
that O -100
' O -100
s O -100
where O -100
all O -100
the O -100
magic O -100
happens O -100
! O -100
The O -100
chefs O -100
cook O -100
right O -100
behind O -100
the O -100
bar O -100
. O -100
Admittedly O -100
, O -100
I O -100
drooled O -100
the O -100
entire O -100
time O -100
while O -100
waiting O -100
for O -100
our O -100
food O -100
. O -100
They O -100
do O -100
give O -100
complimentary O -100
bread O -100
to O -100
start O -100
, O -100
so O -100
I O -100
didn O -100
' O -100
t O -100
drool O -100
for O -100
too O -100
long O -100
. O -100
: O -100
) O -100
Overall O -100
, O -100
this O -100
is O -100
a O -100
cozy O -100
spot B-ASP Positive
for O -100
an O -100
intimate O -100
date O -100
night O -100
. O -100

Consistently O -100
good O -100
mexican O -100
food B-ASP Positive
. O -100
Not O -100
a O -100
super O -100
diverse O -100
menu O -100
, O -100
but O -100
not O -100
just O -100
a O -100
taco O -100
or O -100
burrito O -100
only O -100
menu O -100
either O -100
. O -100
Decent O -100
prices B-ASP -100
and O -100
friendly O -100
service B-ASP -100
. O -100

Consistently O -100
good O -100
mexican O -100
food B-ASP -100
. O -100
Not O -100
a O -100
super O -100
diverse O -100
menu O -100
, O -100
but O -100
not O -100
just O -100
a O -100
taco O -100
or O -100
burrito O -100
only O -100
menu O -100
either O -100
. O -100
Decent O -100
prices B-ASP Positive
and O -100
friendly O -100
service B-ASP -100
. O -100

Consistently O -100
good O -100
mexican O -100
food B-ASP -100
. O -100
Not O -100
a O -100
super O -100
diverse O -100
menu O -100
, O -100
but O -100
not O -100
just O -100
a O -100
taco O -100
or O -100
burrito O -100
only O -100
menu O -100
either O -100
. O -100
Decent O -100
prices B-ASP -100
and O -100
friendly O -100
service B-ASP Positive
. O -100

Still O -100
a O -100
fan O -100
of O -100
the O -100
maki O -100
and O -100
the O -100
specials O -100
, O -100
but O -100
I O -100
' O -100
ve O -100
decided O -100
that O -100
everyone O -100
should O -100
pass O -100
on O -100
the O -100
margaritas O -100
. O -100
I O -100
' O -100
ve O -100
tried O -100
several O -100
of O -100
their O -100
unique O -100
margaritas B-ASP Negative
, O -100
which O -100
sound O -100
fun O -100
but O -100
taste O -100
awful O -100
. O -100
I O -100
had O -100
the O -100
watermelon O -100
one O -100
last O -100
night O -100
and O -100
couldn O -100
' O -100
t O -100
take O -100
more O -100
than O -100
2 O -100
sips O -100
because O -100
it O -100
was O -100
so O -100
sour O -100
. O -100
Stick O -100
with O -100
their O -100
beer B-ASP -100
or O -100
saki O -100
. O -100

Still O -100
a O -100
fan O -100
of O -100
the O -100
maki O -100
and O -100
the O -100
specials O -100
, O -100
but O -100
I O -100
' O -100
ve O -100
decided O -100
that O -100
everyone O -100
should O -100
pass O -100
on O -100
the O -100
margaritas O -100
. O -100
I O -100
' O -100
ve O -100
tried O -100
several O -100
of O -100
their O -100
unique O -100
margaritas B-ASP -100
, O -100
which O -100
sound O -100
fun O -100
but O -100
taste O -100
awful O -100
. O -100
I O -100
had O -100
the O -100
watermelon O -100
one O -100
last O -100
night O -100
and O -100
couldn O -100
' O -100
t O -100
take O -100
more O -100
than O -100
2 O -100
sips O -100
because O -100
it O -100
was O -100
so O -100
sour O -100
. O -100
Stick O -100
with O -100
their O -100
beer B-ASP Positive
or O -100
saki O -100
. O -100

I O -100
had O -100
been O -100
coming O -100
here O -100
for O -100
years O -100
, O -100
but O -100
Habana O -100
' O -100
s O -100
has O -100
lost O -100
it O -100
ways O -100
. O -100
The O -100
food B-ASP Negative
was O -100
so O -100
bad O -100
and O -100
expensive O -100
. O -100
Bad O -100
food O -100
that O -100
cost O -100
a O -100
lot O -100
leaves O -100
you O -100
feeling O -100
more O -100
than O -100
a O -100
little O -100
ripped O -100
off O -100
. O -100
The O -100
drink O -100
menu O -100
does O -100
not O -100
have O -100
prices B-ASP -100
, O -100
this O -100
is O -100
because O -100
a O -100
glass O -100
of O -100
wine O -100
is O -100
10 O -100
dollars B-ASP -100
. O -100
The O -100
$ O -100
23 O -100
Lechon O -100
Asado O -100
could O -100
have O -100
been O -100
mistaken O -100
for O -100
bad O -100
jerky O -100
. O -100
There O -100
are O -100
NOW O -100
much O -100
better O -100
Cuban O -100
here O -100
in O -100
Austin O -100
, O -100
let O -100
this O -100
one O -100
fade O -100
away O -100
. O -100

I O -100
had O -100
been O -100
coming O -100
here O -100
for O -100
years O -100
, O -100
but O -100
Habana O -100
' O -100
s O -100
has O -100
lost O -100
it O -100
ways O -100
. O -100
The O -100
food B-ASP -100
was O -100
so O -100
bad O -100
and O -100
expensive O -100
. O -100
Bad O -100
food O -100
that O -100
cost O -100
a O -100
lot O -100
leaves O -100
you O -100
feeling O -100
more O -100
than O -100
a O -100
little O -100
ripped O -100
off O -100
. O -100
The O -100
drink O -100
menu O -100
does O -100
not O -100
have O -100
prices B-ASP Negative
, O -100
this O -100
is O -100
because O -100
a O -100
glass O -100
of O -100
wine O -100
is O -100
10 O -100
dollars B-ASP -100
. O -100
The O -100
$ O -100
23 O -100
Lechon O -100
Asado O -100
could O -100
have O -100
been O -100
mistaken O -100
for O -100
bad O -100
jerky O -100
. O -100
There O -100
are O -100
NOW O -100
much O -100
better O -100
Cuban O -100
here O -100
in O -100
Austin O -100
, O -100
let O -100
this O -100
one O -100
fade O -100
away O -100
. O -100

I O -100
had O -100
been O -100
coming O -100
here O -100
for O -100
years O -100
, O -100
but O -100
Habana O -100
' O -100
s O -100
has O -100
lost O -100
it O -100
ways O -100
. O -100
The O -100
food B-ASP -100
was O -100
so O -100
bad O -100
and O -100
expensive O -100
. O -100
Bad O -100
food O -100
that O -100
cost O -100
a O -100
lot O -100
leaves O -100
you O -100
feeling O -100
more O -100
than O -100
a O -100
little O -100
ripped O -100
off O -100
. O -100
The O -100
drink O -100
menu O -100
does O -100
not O -100
have O -100
prices B-ASP -100
, O -100
this O -100
is O -100
because O -100
a O -100
glass O -100
of O -100
wine O -100
is O -100
10 O -100
dollars B-ASP Negative
. O -100
The O -100
$ O -100
23 O -100
Lechon O -100
Asado O -100
could O -100
have O -100
been O -100
mistaken O -100
for O -100
bad O -100
jerky O -100
. O -100
There O -100
are O -100
NOW O -100
much O -100
better O -100
Cuban O -100
here O -100
in O -100
Austin O -100
, O -100
let O -100
this O -100
one O -100
fade O -100
away O -100
. O -100

This O -100
sushi O -100
go O -100
around O -100
is O -100
your O -100
typical O -100
" O -100
franchise O -100
like O -100
" O -100
sushi O -100
joint O -100
. O -100
Not O -100
the O -100
best O -100
sushi O -100
by O -100
any O -100
means O -100
, O -100
however O -100
the O -100
variety O -100
of O -100
items B-ASP Positive
at I-ASP Positive
decent O -100
prices B-ASP -100
compensate O -100
for O -100
any O -100
lacking O -100
. O -100
I O -100
like O -100
their O -100
seaweed B-ASP -100
/ O -100
salad B-ASP -100
rolls I-ASP -100
a O -100
great O -100
way O -100
to O -100
get O -100
your O -100
daily O -100
veggie O -100
intake O -100
: O -100
) O -100
. O -100
They O -100
also O -100
have O -100
three O -100
types O -100
of O -100
udon O -100
( O -100
chicken O -100
, O -100
beef O -100
, O -100
tofu O -100
) O -100
all O -100
are O -100
good O -100
, O -100
however O -100
these O -100
must O -100
be O -100
specially O -100
requested O -100
with O -100
either O -100
the O -100
Sushi O -100
chief O -100
or O -100
waiter O -100
/ O -100
waitress O -100
. O -100
Bar B-ASP -100
is O -100
good O -100
, O -100
with O -100
a O -100
decent O -100
happy O -100
hour O -100
menu O -100
. O -100
Location O -100
is O -100
perfect O -100
! O -100
Right O -100
in O -100
the O -100
heart O -100
of O -100
many O -100
enjoyable O -100
locales O -100
( O -100
namely O -100
Powell O -100
' O -100
s O -100
and O -100
other O -100
shopping O -100
places O -100
) O -100
. O -100

This O -100
sushi O -100
go O -100
around O -100
is O -100
your O -100
typical O -100
" O -100
franchise O -100
like O -100
" O -100
sushi O -100
joint O -100
. O -100
Not O -100
the O -100
best O -100
sushi O -100
by O -100
any O -100
means O -100
, O -100
however O -100
the O -100
variety O -100
of O -100
items B-ASP -100
at I-ASP -100
decent O -100
prices B-ASP Positive
compensate O -100
for O -100
any O -100
lacking O -100
. O -100
I O -100
like O -100
their O -100
seaweed B-ASP -100
/ O -100
salad B-ASP -100
rolls I-ASP -100
a O -100
great O -100
way O -100
to O -100
get O -100
your O -100
daily O -100
veggie O -100
intake O -100
: O -100
) O -100
. O -100
They O -100
also O -100
have O -100
three O -100
types O -100
of O -100
udon O -100
( O -100
chicken O -100
, O -100
beef O -100
, O -100
tofu O -100
) O -100
all O -100
are O -100
good O -100
, O -100
however O -100
these O -100
must O -100
be O -100
specially O -100
requested O -100
with O -100
either O -100
the O -100
Sushi O -100
chief O -100
or O -100
waiter O -100
/ O -100
waitress O -100
. O -100
Bar B-ASP -100
is O -100
good O -100
, O -100
with O -100
a O -100
decent O -100
happy O -100
hour O -100
menu O -100
. O -100
Location O -100
is O -100
perfect O -100
! O -100
Right O -100
in O -100
the O -100
heart O -100
of O -100
many O -100
enjoyable O -100
locales O -100
( O -100
namely O -100
Powell O -100
' O -100
s O -100
and O -100
other O -100
shopping O -100
places O -100
) O -100
. O -100

This O -100
sushi O -100
go O -100
around O -100
is O -100
your O -100
typical O -100
" O -100
franchise O -100
like O -100
" O -100
sushi O -100
joint O -100
. O -100
Not O -100
the O -100
best O -100
sushi O -100
by O -100
any O -100
means O -100
, O -100
however O -100
the O -100
variety O -100
of O -100
items B-ASP -100
at I-ASP -100
decent O -100
prices B-ASP -100
compensate O -100
for O -100
any O -100
lacking O -100
. O -100
I O -100
like O -100
their O -100
seaweed B-ASP Positive
/ O -100
salad B-ASP -100
rolls I-ASP -100
a O -100
great O -100
way O -100
to O -100
get O -100
your O -100
daily O -100
veggie O -100
intake O -100
: O -100
) O -100
. O -100
They O -100
also O -100
have O -100
three O -100
types O -100
of O -100
udon O -100
( O -100
chicken O -100
, O -100
beef O -100
, O -100
tofu O -100
) O -100
all O -100
are O -100
good O -100
, O -100
however O -100
these O -100
must O -100
be O -100
specially O -100
requested O -100
with O -100
either O -100
the O -100
Sushi O -100
chief O -100
or O -100
waiter O -100
/ O -100
waitress O -100
. O -100
Bar B-ASP -100
is O -100
good O -100
, O -100
with O -100
a O -100
decent O -100
happy O -100
hour O -100
menu O -100
. O -100
Location O -100
is O -100
perfect O -100
! O -100
Right O -100
in O -100
the O -100
heart O -100
of O -100
many O -100
enjoyable O -100
locales O -100
( O -100
namely O -100
Powell O -100
' O -100
s O -100
and O -100
other O -100
shopping O -100
places O -100
) O -100
. O -100

This O -100
sushi O -100
go O -100
around O -100
is O -100
your O -100
typical O -100
" O -100
franchise O -100
like O -100
" O -100
sushi O -100
joint O -100
. O -100
Not O -100
the O -100
best O -100
sushi O -100
by O -100
any O -100
means O -100
, O -100
however O -100
the O -100
variety O -100
of O -100
items B-ASP -100
at I-ASP -100
decent O -100
prices B-ASP -100
compensate O -100
for O -100
any O -100
lacking O -100
. O -100
I O -100
like O -100
their O -100
seaweed B-ASP -100
/ O -100
salad B-ASP Positive
rolls I-ASP Positive
a O -100
great O -100
way O -100
to O -100
get O -100
your O -100
daily O -100
veggie O -100
intake O -100
: O -100
) O -100
. O -100
They O -100
also O -100
have O -100
three O -100
types O -100
of O -100
udon O -100
( O -100
chicken O -100
, O -100
beef O -100
, O -100
tofu O -100
) O -100
all O -100
are O -100
good O -100
, O -100
however O -100
these O -100
must O -100
be O -100
specially O -100
requested O -100
with O -100
either O -100
the O -100
Sushi O -100
chief O -100
or O -100
waiter O -100
/ O -100
waitress O -100
. O -100
Bar B-ASP -100
is O -100
good O -100
, O -100
with O -100
a O -100
decent O -100
happy O -100
hour O -100
menu O -100
. O -100
Location O -100
is O -100
perfect O -100
! O -100
Right O -100
in O -100
the O -100
heart O -100
of O -100
many O -100
enjoyable O -100
locales O -100
( O -100
namely O -100
Powell O -100
' O -100
s O -100
and O -100
other O -100
shopping O -100
places O -100
) O -100
. O -100

This O -100
sushi O -100
go O -100
around O -100
is O -100
your O -100
typical O -100
" O -100
franchise O -100
like O -100
" O -100
sushi O -100
joint O -100
. O -100
Not O -100
the O -100
best O -100
sushi O -100
by O -100
any O -100
means O -100
, O -100
however O -100
the O -100
variety O -100
of O -100
items B-ASP -100
at I-ASP -100
decent O -100
prices B-ASP -100
compensate O -100
for O -100
any O -100
lacking O -100
. O -100
I O -100
like O -100
their O -100
seaweed B-ASP -100
/ O -100
salad B-ASP -100
rolls I-ASP -100
a O -100
great O -100
way O -100
to O -100
get O -100
your O -100
daily O -100
veggie O -100
intake O -100
: O -100
) O -100
. O -100
They O -100
also O -100
have O -100
three O -100
types O -100
of O -100
udon O -100
( O -100
chicken O -100
, O -100
beef O -100
, O -100
tofu O -100
) O -100
all O -100
are O -100
good O -100
, O -100
however O -100
these O -100
must O -100
be O -100
specially O -100
requested O -100
with O -100
either O -100
the O -100
Sushi O -100
chief O -100
or O -100
waiter O -100
/ O -100
waitress O -100
. O -100
Bar B-ASP Positive
is O -100
good O -100
, O -100
with O -100
a O -100
decent O -100
happy O -100
hour O -100
menu O -100
. O -100
Location O -100
is O -100
perfect O -100
! O -100
Right O -100
in O -100
the O -100
heart O -100
of O -100
many O -100
enjoyable O -100
locales O -100
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namely O -100
Powell O -100
' O -100
s O -100
and O -100
other O -100
shopping O -100
places O -100
) O -100
. O -100

Fabulous O -100
! O -100
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We O -100
had O -100
dinner O -100
delivered O -100
, O -100
a O -100
gift O -100
for O -100
travelers O -100
! O -100
! O -100
! O -100
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food B-ASP Positive
was O -100
incredible O -100
! O -100
! O -100
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the O -100
price B-ASP -100
was O -100
very O -100
reasonable O -100
! O -100
Thanks O -100
! O -100
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the O -100
service B-ASP -100
, O -100
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delivery O -100
man O -100
, O -100
SO O -100
nice O -100
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was O -100
long O -100
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Fabulous O -100
! O -100
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We O -100
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dinner O -100
delivered O -100
, O -100
a O -100
gift O -100
for O -100
travelers O -100
! O -100
! O -100
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food B-ASP -100
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price B-ASP Neutral
was O -100
very O -100
reasonable O -100
! O -100
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! O -100
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service B-ASP -100
, O -100
the O -100
delivery O -100
man O -100
, O -100
SO O -100
nice O -100
! O -100
! O -100
The O -100
wait B-ASP -100
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long O -100
, O -100
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it O -100
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! O -100
! O -100
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dinner O -100
delivered O -100
, O -100
a O -100
gift O -100
for O -100
travelers O -100
! O -100
! O -100
! O -100
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food B-ASP -100
was O -100
incredible O -100
! O -100
! O -100
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the O -100
price B-ASP -100
was O -100
very O -100
reasonable O -100
! O -100
Thanks O -100
! O -100
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the O -100
service B-ASP Positive
, O -100
the O -100
delivery O -100
man O -100
, O -100
SO O -100
nice O -100
! O -100
! O -100
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wait B-ASP -100
, O -100
was O -100
long O -100
, O -100
but O -100
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it O -100
! O -100
! O -100
! O -100

Fabulous O -100
! O -100
! O -100
We O -100
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dinner O -100
delivered O -100
, O -100
a O -100
gift O -100
for O -100
travelers O -100
! O -100
! O -100
! O -100
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food B-ASP -100
was O -100
incredible O -100
! O -100
! O -100
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the O -100
price B-ASP -100
was O -100
very O -100
reasonable O -100
! O -100
Thanks O -100
! O -100
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the O -100
service B-ASP -100
, O -100
the O -100
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man O -100
, O -100
SO O -100
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! O -100
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, O -100
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long O -100
, O -100
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it O -100
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was O -100
trying O -100
to O -100
decide O -100
if O -100
I O -100
should O -100
give O -100
two O -100
or O -100
three O -100
stars O -100
. O -100
I O -100
finally O -100
decided O -100
based O -100
on O -100
how O -100
high O -100
it O -100
' O -100
s O -100
rated O -100
. O -100
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it O -100
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almost O -100
five O -100
stars O -100
, O -100
I O -100
' O -100
m O -100
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down O -100
to O -100
two O -100
. O -100
I O -100
' O -100
m O -100
going O -100
to O -100
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to O -100
be O -100
( O -100
for O -100
me O -100
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brief O -100
. O -100
Food O -100
& O -100
drink O -100
: O -100
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meh O -100
. O -100
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, O -100
in O -100
a O -100
" O -100
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kind O -100
of O -100
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. O -100
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what O -100
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. O -100
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a O -100
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. O -100
. O -100
. O -100
for O -100
the O -100
price O -100
it O -100
should O -100
have O -100
been O -100
orgasmic O -100
, O -100
it O -100
was O -100
not O -100
in O -100
the O -100
top O -100
50 O -100
% O -100
of O -100
her O -100
waffle B-ASP -100
experiences O -100
. O -100
My O -100
beverage O -100
was O -100
a O -100
Matcha O -100
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( O -100
had O -100
to O -100
go O -100
to O -100
website O -100
to O -100
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it O -100
was O -100
ok O -100
, O -100
but O -100
for O -100
that O -100
" O -100
interesting O -100
" O -100
a O -100
drink O -100
it O -100
should O -100
have O -100
been O -100
more O -100
interesting O -100
. O -100
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it O -100
was O -100
the O -100
day O -100
we O -100
ordered O -100
. O -100
Hmm O -100
, O -100
I O -100
just O -100
went O -100
and O -100
looked O -100
at O -100
the O -100
photos O -100
section O -100
of O -100
the O -100
Yelp O -100
listing O -100
. O -100
I O -100
don O -100
' O -100
t O -100
know O -100
if O -100
it O -100
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anything O -100
on O -100
how O -100
the O -100
place O -100
was O -100
doing O -100
that O -100
day O -100
, O -100
but O -100
my O -100
latte B-ASP -100
did O -100
not O -100
have O -100
any O -100
cute O -100
art O -100
on O -100
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it O -100
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an O -100
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day O -100
. O -100
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. O -100
. O -100
. O -100
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, O -100
friendly O -100
, O -100
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. O -100
It O -100
was O -100
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, O -100
but O -100
they O -100
had O -100
lots O -100
of O -100
staff O -100
. O -100
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building B-ASP -100
and O -100
how O -100
they O -100
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it O -100
was O -100
great O -100
! O -100
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and O -100
quirky O -100
. O -100
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is O -100
what O -100
moved O -100
me O -100
to O -100
consider O -100
3 O -100
stars O -100
. O -100
The O -100
windows O -100
in O -100
the O -100
bathroom O -100
doors O -100
did O -100
take O -100
me O -100
back O -100
to O -100
my O -100
time O -100
in O -100
Europe O -100
( O -100
not O -100
really O -100
my O -100
favorite O -100
feature O -100
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, O -100
but O -100
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, O -100
nostalgia O -100
! O -100
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. O -100
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area B-ASP -100
was O -100
worth O -100
wandering O -100
back O -100
to O -100
take O -100
a O -100
look O -100
at O -100
. O -100
Bottom O -100
line O -100
: O -100
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waited B-ASP -100
in O -100
line O -100
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than O -100
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minutes O -100
to O -100
get O -100
in O -100
I O -100
' O -100
d O -100
feel O -100
really O -100
bad O -100
. O -100
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is O -100
, O -100
I O -100
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' O -100
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it O -100
, O -100
but O -100
if O -100
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it O -100
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like O -100
it O -100
, O -100
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I O -100
' O -100
m O -100
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something O -100
. O -100

I O -100
was O -100
trying O -100
to O -100
decide O -100
if O -100
I O -100
should O -100
give O -100
two O -100
or O -100
three O -100
stars O -100
. O -100
I O -100
finally O -100
decided O -100
based O -100
on O -100
how O -100
high O -100
it O -100
' O -100
s O -100
rated O -100
. O -100
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it O -100
has O -100
almost O -100
five O -100
stars O -100
, O -100
I O -100
' O -100
m O -100
rounding O -100
down O -100
to O -100
two O -100
. O -100
I O -100
' O -100
m O -100
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to O -100
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to O -100
be O -100
( O -100
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me O -100
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. O -100
Food O -100
& O -100
drink O -100
: O -100
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meh O -100
. O -100
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, O -100
in O -100
a O -100
" O -100
what O -100
? O -100
" O -100
kind O -100
of O -100
way O -100
. O -100
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' O -100
ve O -100
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much O -100
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what O -100
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. O -100
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wife O -100
had O -100
a O -100
waffle B-ASP -100
. O -100
. O -100
. O -100
for O -100
the O -100
price O -100
it O -100
should O -100
have O -100
been O -100
orgasmic O -100
, O -100
it O -100
was O -100
not O -100
in O -100
the O -100
top O -100
50 O -100
% O -100
of O -100
her O -100
waffle B-ASP Negative
experiences O -100
. O -100
My O -100
beverage O -100
was O -100
a O -100
Matcha O -100
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( O -100
had O -100
to O -100
go O -100
to O -100
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to O -100
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) O -100
it O -100
was O -100
ok O -100
, O -100
but O -100
for O -100
that O -100
" O -100
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" O -100
a O -100
drink O -100
it O -100
should O -100
have O -100
been O -100
more O -100
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. O -100
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it O -100
was O -100
the O -100
day O -100
we O -100
ordered O -100
. O -100
Hmm O -100
, O -100
I O -100
just O -100
went O -100
and O -100
looked O -100
at O -100
the O -100
photos O -100
section O -100
of O -100
the O -100
Yelp O -100
listing O -100
. O -100
I O -100
don O -100
' O -100
t O -100
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how O -100
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place O -100
was O -100
doing O -100
that O -100
day O -100
, O -100
but O -100
my O -100
latte B-ASP -100
did O -100
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any O -100
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top O -100
. O -100
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it O -100
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an O -100
off O -100
day O -100
. O -100
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' O -100
t O -100
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. O -100
. O -100
. O -100
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, O -100
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. O -100
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was O -100
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, O -100
but O -100
they O -100
had O -100
lots O -100
of O -100
staff O -100
. O -100
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building B-ASP -100
and O -100
how O -100
they O -100
used O -100
it O -100
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great O -100
! O -100
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and O -100
quirky O -100
. O -100
That O -100
is O -100
what O -100
moved O -100
me O -100
to O -100
consider O -100
3 O -100
stars O -100
. O -100
The O -100
windows O -100
in O -100
the O -100
bathroom O -100
doors O -100
did O -100
take O -100
me O -100
back O -100
to O -100
my O -100
time O -100
in O -100
Europe O -100
( O -100
not O -100
really O -100
my O -100
favorite O -100
feature O -100
of O -100
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, O -100
but O -100
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, O -100
nostalgia O -100
! O -100
) O -100
. O -100
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back O -100
dining O -100
area B-ASP -100
was O -100
worth O -100
wandering O -100
back O -100
to O -100
take O -100
a O -100
look O -100
at O -100
. O -100
Bottom O -100
line O -100
: O -100
If O -100
I O -100
had O -100
waited B-ASP -100
in O -100
line O -100
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than O -100
4 O -100
minutes O -100
to O -100
get O -100
in O -100
I O -100
' O -100
d O -100
feel O -100
really O -100
bad O -100
. O -100
As O -100
is O -100
, O -100
I O -100
can O -100
' O -100
t O -100
recommend O -100
it O -100
, O -100
but O -100
if O -100
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like O -100
it O -100
, O -100
maybe O -100
I O -100
' O -100
m O -100
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something O -100
. O -100

I O -100
was O -100
trying O -100
to O -100
decide O -100
if O -100
I O -100
should O -100
give O -100
two O -100
or O -100
three O -100
stars O -100
. O -100
I O -100
finally O -100
decided O -100
based O -100
on O -100
how O -100
high O -100
it O -100
' O -100
s O -100
rated O -100
. O -100
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it O -100
has O -100
almost O -100
five O -100
stars O -100
, O -100
I O -100
' O -100
m O -100
rounding O -100
down O -100
to O -100
two O -100
. O -100
I O -100
' O -100
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to O -100
be O -100
( O -100
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me O -100
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. O -100
Food O -100
& O -100
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: O -100
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meh O -100
. O -100
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, O -100
in O -100
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" O -100
what O -100
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. O -100
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. O -100
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had O -100
a O -100
waffle B-ASP -100
. O -100
. O -100
. O -100
for O -100
the O -100
price O -100
it O -100
should O -100
have O -100
been O -100
orgasmic O -100
, O -100
it O -100
was O -100
not O -100
in O -100
the O -100
top O -100
50 O -100
% O -100
of O -100
her O -100
waffle B-ASP -100
experiences O -100
. O -100
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beverage O -100
was O -100
a O -100
Matcha O -100
Latte B-ASP Neutral
( O -100
had O -100
to O -100
go O -100
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ok O -100
, O -100
but O -100
for O -100
that O -100
" O -100
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" O -100
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drink O -100
it O -100
should O -100
have O -100
been O -100
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. O -100
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the O -100
day O -100
we O -100
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. O -100
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, O -100
I O -100
just O -100
went O -100
and O -100
looked O -100
at O -100
the O -100
photos O -100
section O -100
of O -100
the O -100
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listing O -100
. O -100
I O -100
don O -100
' O -100
t O -100
know O -100
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anything O -100
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how O -100
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place O -100
was O -100
doing O -100
that O -100
day O -100
, O -100
but O -100
my O -100
latte B-ASP -100
did O -100
not O -100
have O -100
any O -100
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art O -100
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top O -100
. O -100
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it O -100
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an O -100
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day O -100
. O -100
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' O -100
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. O -100
. O -100
. O -100
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. O -100
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, O -100
but O -100
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lots O -100
of O -100
staff O -100
. O -100
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and O -100
how O -100
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. O -100
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is O -100
what O -100
moved O -100
me O -100
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3 O -100
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. O -100
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the O -100
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doors O -100
did O -100
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: O -100
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than O -100
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to O -100
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' O -100
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to O -100
decide O -100
if O -100
I O -100
should O -100
give O -100
two O -100
or O -100
three O -100
stars O -100
. O -100
I O -100
finally O -100
decided O -100
based O -100
on O -100
how O -100
high O -100
it O -100
' O -100
s O -100
rated O -100
. O -100
Since O -100
it O -100
has O -100
almost O -100
five O -100
stars O -100
, O -100
I O -100
' O -100
m O -100
rounding O -100
down O -100
to O -100
two O -100
. O -100
I O -100
' O -100
m O -100
going O -100
to O -100
try O -100
to O -100
be O -100
( O -100
for O -100
me O -100
) O -100
brief O -100
. O -100
Food O -100
& O -100
drink O -100
: O -100
Very O -100
meh O -100
. O -100
Interesting O -100
, O -100
in O -100
a O -100
" O -100
what O -100
? O -100
" O -100
kind O -100
of O -100
way O -100
. O -100
But O -100
I O -100
' O -100
ve O -100
pretty O -100
much O -100
forgotten O -100
what O -100
I O -100
had O -100
. O -100
The O -100
wife O -100
had O -100
a O -100
waffle B-ASP -100
. O -100
. O -100
. O -100
for O -100
the O -100
price O -100
it O -100
should O -100
have O -100
been O -100
orgasmic O -100
, O -100
it O -100
was O -100
not O -100
in O -100
the O -100
top O -100
50 O -100
% O -100
of O -100
her O -100
waffle B-ASP -100
experiences O -100
. O -100
My O -100
beverage O -100
was O -100
a O -100
Matcha O -100
Latte B-ASP -100
( O -100
had O -100
to O -100
go O -100
to O -100
website O -100
to O -100
remember O -100
) O -100
it O -100
was O -100
ok O -100
, O -100
but O -100
for O -100
that O -100
" O -100
interesting O -100
" O -100
a O -100
drink O -100
it O -100
should O -100
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more O -100
interesting O -100
. O -100
Maybe O -100
it O -100
was O -100
the O -100
day O -100
we O -100
ordered O -100
. O -100
Hmm O -100
, O -100
I O -100
just O -100
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at O -100
the O -100
photos O -100
section O -100
of O -100
the O -100
Yelp O -100
listing O -100
. O -100
I O -100
don O -100
' O -100
t O -100
know O -100
if O -100
it O -100
means O -100
anything O -100
on O -100
how O -100
the O -100
place O -100
was O -100
doing O -100
that O -100
day O -100
, O -100
but O -100
my O -100
latte B-ASP Negative
did O -100
not O -100
have O -100
any O -100
cute O -100
art O -100
on O -100
top O -100
. O -100
Maybe O -100
it O -100
WAS O -100
an O -100
off O -100
day O -100
. O -100
Or O -100
maybe O -100
they O -100
didn O -100
' O -100
t O -100
like O -100
us O -100
: O -100
O O -100
Service B-ASP -100
. O -100
. O -100
. O -100
Ok O -100
, O -100
friendly O -100
, O -100
but O -100
disorganized O -100
. O -100
It O -100
was O -100
fairly O -100
busy O -100
, O -100
but O -100
they O -100
had O -100
lots O -100
of O -100
staff O -100
. O -100
The O -100
building B-ASP -100
and O -100
how O -100
they O -100
used O -100
it O -100
was O -100
great O -100
! O -100
Nice O -100
and O -100
quirky O -100
. O -100
That O -100
is O -100
what O -100
moved O -100
me O -100
to O -100
consider O -100
3 O -100
stars O -100
. O -100
The O -100
windows O -100
in O -100
the O -100
bathroom O -100
doors O -100
did O -100
take O -100
me O -100
back O -100
to O -100
my O -100
time O -100
in O -100
Europe O -100
( O -100
not O -100
really O -100
my O -100
favorite O -100
feature O -100
of O -100
Europe O -100
, O -100
but O -100
hey O -100
, O -100
nostalgia O -100
! O -100
) O -100
. O -100
The O -100
back O -100
dining O -100
area B-ASP -100
was O -100
worth O -100
wandering O -100
back O -100
to O -100
take O -100
a O -100
look O -100
at O -100
. O -100
Bottom O -100
line O -100
: O -100
If O -100
I O -100
had O -100
waited B-ASP -100
in O -100
line O -100
more O -100
than O -100
4 O -100
minutes O -100
to O -100
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in O -100
I O -100
' O -100
d O -100
feel O -100
really O -100
bad O -100
. O -100
As O -100
is O -100
, O -100
I O -100
can O -100
' O -100
t O -100
recommend O -100
it O -100
, O -100
but O -100
if O -100
you O -100
try O -100
it O -100
and O -100
like O -100
it O -100
, O -100
maybe O -100
I O -100
' O -100
m O -100
missing O -100
something O -100
. O -100

I O -100
was O -100
trying O -100
to O -100
decide O -100
if O -100
I O -100
should O -100
give O -100
two O -100
or O -100
three O -100
stars O -100
. O -100
I O -100
finally O -100
decided O -100
based O -100
on O -100
how O -100
high O -100
it O -100
' O -100
s O -100
rated O -100
. O -100
Since O -100
it O -100
has O -100
almost O -100
five O -100
stars O -100
, O -100
I O -100
' O -100
m O -100
rounding O -100
down O -100
to O -100
two O -100
. O -100
I O -100
' O -100
m O -100
going O -100
to O -100
try O -100
to O -100
be O -100
( O -100
for O -100
me O -100
) O -100
brief O -100
. O -100
Food O -100
& O -100
drink O -100
: O -100
Very O -100
meh O -100
. O -100
Interesting O -100
, O -100
in O -100
a O -100
" O -100
what O -100
? O -100
" O -100
kind O -100
of O -100
way O -100
. O -100
But O -100
I O -100
' O -100
ve O -100
pretty O -100
much O -100
forgotten O -100
what O -100
I O -100
had O -100
. O -100
The O -100
wife O -100
had O -100
a O -100
waffle B-ASP -100
. O -100
. O -100
. O -100
for O -100
the O -100
price O -100
it O -100
should O -100
have O -100
been O -100
orgasmic O -100
, O -100
it O -100
was O -100
not O -100
in O -100
the O -100
top O -100
50 O -100
% O -100
of O -100
her O -100
waffle B-ASP -100
experiences O -100
. O -100
My O -100
beverage O -100
was O -100
a O -100
Matcha O -100
Latte B-ASP -100
( O -100
had O -100
to O -100
go O -100
to O -100
website O -100
to O -100
remember O -100
) O -100
it O -100
was O -100
ok O -100
, O -100
but O -100
for O -100
that O -100
" O -100
interesting O -100
" O -100
a O -100
drink O -100
it O -100
should O -100
have O -100
been O -100
more O -100
interesting O -100
. O -100
Maybe O -100
it O -100
was O -100
the O -100
day O -100
we O -100
ordered O -100
. O -100
Hmm O -100
, O -100
I O -100
just O -100
went O -100
and O -100
looked O -100
at O -100
the O -100
photos O -100
section O -100
of O -100
the O -100
Yelp O -100
listing O -100
. O -100
I O -100
don O -100
' O -100
t O -100
know O -100
if O -100
it O -100
means O -100
anything O -100
on O -100
how O -100
the O -100
place O -100
was O -100
doing O -100
that O -100
day O -100
, O -100
but O -100
my O -100
latte B-ASP -100
did O -100
not O -100
have O -100
any O -100
cute O -100
art O -100
on O -100
top O -100
. O -100
Maybe O -100
it O -100
WAS O -100
an O -100
off O -100
day O -100
. O -100
Or O -100
maybe O -100
they O -100
didn O -100
' O -100
t O -100
like O -100
us O -100
: O -100
O O -100
Service B-ASP Neutral
. O -100
. O -100
. O -100
Ok O -100
, O -100
friendly O -100
, O -100
but O -100
disorganized O -100
. O -100
It O -100
was O -100
fairly O -100
busy O -100
, O -100
but O -100
they O -100
had O -100
lots O -100
of O -100
staff O -100
. O -100
The O -100
building B-ASP -100
and O -100
how O -100
they O -100
used O -100
it O -100
was O -100
great O -100
! O -100
Nice O -100
and O -100
quirky O -100
. O -100
That O -100
is O -100
what O -100
moved O -100
me O -100
to O -100
consider O -100
3 O -100
stars O -100
. O -100
The O -100
windows O -100
in O -100
the O -100
bathroom O -100
doors O -100
did O -100
take O -100
me O -100
back O -100
to O -100
my O -100
time O -100
in O -100
Europe O -100
( O -100
not O -100
really O -100
my O -100
favorite O -100
feature O -100
of O -100
Europe O -100
, O -100
but O -100
hey O -100
, O -100
nostalgia O -100
! O -100
) O -100
. O -100
The O -100
back O -100
dining O -100
area B-ASP -100
was O -100
worth O -100
wandering O -100
back O -100
to O -100
take O -100
a O -100
look O -100
at O -100
. O -100
Bottom O -100
line O -100
: O -100
If O -100
I O -100
had O -100
waited B-ASP -100
in O -100
line O -100
more O -100
than O -100
4 O -100
minutes O -100
to O -100
get O -100
in O -100
I O -100
' O -100
d O -100
feel O -100
really O -100
bad O -100
. O -100
As O -100
is O -100
, O -100
I O -100
can O -100
' O -100
t O -100
recommend O -100
it O -100
, O -100
but O -100
if O -100
you O -100
try O -100
it O -100
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like O -100
it O -100
, O -100
maybe O -100
I O -100
' O -100
m O -100
missing O -100
something O -100
. O -100

I O -100
was O -100
trying O -100
to O -100
decide O -100
if O -100
I O -100
should O -100
give O -100
two O -100
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stars O -100
. O -100
I O -100
finally O -100
decided O -100
based O -100
on O -100
how O -100
high O -100
it O -100
' O -100
s O -100
rated O -100
. O -100
Since O -100
it O -100
has O -100
almost O -100
five O -100
stars O -100
, O -100
I O -100
' O -100
m O -100
rounding O -100
down O -100
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two O -100
. O -100
I O -100
' O -100
m O -100
going O -100
to O -100
try O -100
to O -100
be O -100
( O -100
for O -100
me O -100
) O -100
brief O -100
. O -100
Food O -100
& O -100
drink O -100
: O -100
Very O -100
meh O -100
. O -100
Interesting O -100
, O -100
in O -100
a O -100
" O -100
what O -100
? O -100
" O -100
kind O -100
of O -100
way O -100
. O -100
But O -100
I O -100
' O -100
ve O -100
pretty O -100
much O -100
forgotten O -100
what O -100
I O -100
had O -100
. O -100
The O -100
wife O -100
had O -100
a O -100
waffle B-ASP -100
. O -100
. O -100
. O -100
for O -100
the O -100
price O -100
it O -100
should O -100
have O -100
been O -100
orgasmic O -100
, O -100
it O -100
was O -100
not O -100
in O -100
the O -100
top O -100
50 O -100
% O -100
of O -100
her O -100
waffle B-ASP -100
experiences O -100
. O -100
My O -100
beverage O -100
was O -100
a O -100
Matcha O -100
Latte B-ASP -100
( O -100
had O -100
to O -100
go O -100
to O -100
website O -100
to O -100
remember O -100
) O -100
it O -100
was O -100
ok O -100
, O -100
but O -100
for O -100
that O -100
" O -100
interesting O -100
" O -100
a O -100
drink O -100
it O -100
should O -100
have O -100
been O -100
more O -100
interesting O -100
. O -100
Maybe O -100
it O -100
was O -100
the O -100
day O -100
we O -100
ordered O -100
. O -100
Hmm O -100
, O -100
I O -100
just O -100
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looked O -100
at O -100
the O -100
photos O -100
section O -100
of O -100
the O -100
Yelp O -100
listing O -100
. O -100
I O -100
don O -100
' O -100
t O -100
know O -100
if O -100
it O -100
means O -100
anything O -100
on O -100
how O -100
the O -100
place O -100
was O -100
doing O -100
that O -100
day O -100
, O -100
but O -100
my O -100
latte B-ASP -100
did O -100
not O -100
have O -100
any O -100
cute O -100
art O -100
on O -100
top O -100
. O -100
Maybe O -100
it O -100
WAS O -100
an O -100
off O -100
day O -100
. O -100
Or O -100
maybe O -100
they O -100
didn O -100
' O -100
t O -100
like O -100
us O -100
: O -100
O O -100
Service B-ASP -100
. O -100
. O -100
. O -100
Ok O -100
, O -100
friendly O -100
, O -100
but O -100
disorganized O -100
. O -100
It O -100
was O -100
fairly O -100
busy O -100
, O -100
but O -100
they O -100
had O -100
lots O -100
of O -100
staff O -100
. O -100
The O -100
building B-ASP Positive
and O -100
how O -100
they O -100
used O -100
it O -100
was O -100
great O -100
! O -100
Nice O -100
and O -100
quirky O -100
. O -100
That O -100
is O -100
what O -100
moved O -100
me O -100
to O -100
consider O -100
3 O -100
stars O -100
. O -100
The O -100
windows O -100
in O -100
the O -100
bathroom O -100
doors O -100
did O -100
take O -100
me O -100
back O -100
to O -100
my O -100
time O -100
in O -100
Europe O -100
( O -100
not O -100
really O -100
my O -100
favorite O -100
feature O -100
of O -100
Europe O -100
, O -100
but O -100
hey O -100
, O -100
nostalgia O -100
! O -100
) O -100
. O -100
The O -100
back O -100
dining O -100
area B-ASP -100
was O -100
worth O -100
wandering O -100
back O -100
to O -100
take O -100
a O -100
look O -100
at O -100
. O -100
Bottom O -100
line O -100
: O -100
If O -100
I O -100
had O -100
waited B-ASP -100
in O -100
line O -100
more O -100
than O -100
4 O -100
minutes O -100
to O -100
get O -100
in O -100
I O -100
' O -100
d O -100
feel O -100
really O -100
bad O -100
. O -100
As O -100
is O -100
, O -100
I O -100
can O -100
' O -100
t O -100
recommend O -100
it O -100
, O -100
but O -100
if O -100
you O -100
try O -100
it O -100
and O -100
like O -100
it O -100
, O -100
maybe O -100
I O -100
' O -100
m O -100
missing O -100
something O -100
. O -100

I O -100
was O -100
trying O -100
to O -100
decide O -100
if O -100
I O -100
should O -100
give O -100
two O -100
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three O -100
stars O -100
. O -100
I O -100
finally O -100
decided O -100
based O -100
on O -100
how O -100
high O -100
it O -100
' O -100
s O -100
rated O -100
. O -100
Since O -100
it O -100
has O -100
almost O -100
five O -100
stars O -100
, O -100
I O -100
' O -100
m O -100
rounding O -100
down O -100
to O -100
two O -100
. O -100
I O -100
' O -100
m O -100
going O -100
to O -100
try O -100
to O -100
be O -100
( O -100
for O -100
me O -100
) O -100
brief O -100
. O -100
Food O -100
& O -100
drink O -100
: O -100
Very O -100
meh O -100
. O -100
Interesting O -100
, O -100
in O -100
a O -100
" O -100
what O -100
? O -100
" O -100
kind O -100
of O -100
way O -100
. O -100
But O -100
I O -100
' O -100
ve O -100
pretty O -100
much O -100
forgotten O -100
what O -100
I O -100
had O -100
. O -100
The O -100
wife O -100
had O -100
a O -100
waffle B-ASP -100
. O -100
. O -100
. O -100
for O -100
the O -100
price O -100
it O -100
should O -100
have O -100
been O -100
orgasmic O -100
, O -100
it O -100
was O -100
not O -100
in O -100
the O -100
top O -100
50 O -100
% O -100
of O -100
her O -100
waffle B-ASP -100
experiences O -100
. O -100
My O -100
beverage O -100
was O -100
a O -100
Matcha O -100
Latte B-ASP -100
( O -100
had O -100
to O -100
go O -100
to O -100
website O -100
to O -100
remember O -100
) O -100
it O -100
was O -100
ok O -100
, O -100
but O -100
for O -100
that O -100
" O -100
interesting O -100
" O -100
a O -100
drink O -100
it O -100
should O -100
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been O -100
more O -100
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. O -100
Maybe O -100
it O -100
was O -100
the O -100
day O -100
we O -100
ordered O -100
. O -100
Hmm O -100
, O -100
I O -100
just O -100
went O -100
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looked O -100
at O -100
the O -100
photos O -100
section O -100
of O -100
the O -100
Yelp O -100
listing O -100
. O -100
I O -100
don O -100
' O -100
t O -100
know O -100
if O -100
it O -100
means O -100
anything O -100
on O -100
how O -100
the O -100
place O -100
was O -100
doing O -100
that O -100
day O -100
, O -100
but O -100
my O -100
latte B-ASP -100
did O -100
not O -100
have O -100
any O -100
cute O -100
art O -100
on O -100
top O -100
. O -100
Maybe O -100
it O -100
WAS O -100
an O -100
off O -100
day O -100
. O -100
Or O -100
maybe O -100
they O -100
didn O -100
' O -100
t O -100
like O -100
us O -100
: O -100
O O -100
Service B-ASP -100
. O -100
. O -100
. O -100
Ok O -100
, O -100
friendly O -100
, O -100
but O -100
disorganized O -100
. O -100
It O -100
was O -100
fairly O -100
busy O -100
, O -100
but O -100
they O -100
had O -100
lots O -100
of O -100
staff O -100
. O -100
The O -100
building B-ASP -100
and O -100
how O -100
they O -100
used O -100
it O -100
was O -100
great O -100
! O -100
Nice O -100
and O -100
quirky O -100
. O -100
That O -100
is O -100
what O -100
moved O -100
me O -100
to O -100
consider O -100
3 O -100
stars O -100
. O -100
The O -100
windows O -100
in O -100
the O -100
bathroom O -100
doors O -100
did O -100
take O -100
me O -100
back O -100
to O -100
my O -100
time O -100
in O -100
Europe O -100
( O -100
not O -100
really O -100
my O -100
favorite O -100
feature O -100
of O -100
Europe O -100
, O -100
but O -100
hey O -100
, O -100
nostalgia O -100
! O -100
) O -100
. O -100
The O -100
back O -100
dining O -100
area B-ASP Positive
was O -100
worth O -100
wandering O -100
back O -100
to O -100
take O -100
a O -100
look O -100
at O -100
. O -100
Bottom O -100
line O -100
: O -100
If O -100
I O -100
had O -100
waited B-ASP -100
in O -100
line O -100
more O -100
than O -100
4 O -100
minutes O -100
to O -100
get O -100
in O -100
I O -100
' O -100
d O -100
feel O -100
really O -100
bad O -100
. O -100
As O -100
is O -100
, O -100
I O -100
can O -100
' O -100
t O -100
recommend O -100
it O -100
, O -100
but O -100
if O -100
you O -100
try O -100
it O -100
and O -100
like O -100
it O -100
, O -100
maybe O -100
I O -100
' O -100
m O -100
missing O -100
something O -100
. O -100

I O -100
was O -100
trying O -100
to O -100
decide O -100
if O -100
I O -100
should O -100
give O -100
two O -100
or O -100
three O -100
stars O -100
. O -100
I O -100
finally O -100
decided O -100
based O -100
on O -100
how O -100
high O -100
it O -100
' O -100
s O -100
rated O -100
. O -100
Since O -100
it O -100
has O -100
almost O -100
five O -100
stars O -100
, O -100
I O -100
' O -100
m O -100
rounding O -100
down O -100
to O -100
two O -100
. O -100
I O -100
' O -100
m O -100
going O -100
to O -100
try O -100
to O -100
be O -100
( O -100
for O -100
me O -100
) O -100
brief O -100
. O -100
Food O -100
& O -100
drink O -100
: O -100
Very O -100
meh O -100
. O -100
Interesting O -100
, O -100
in O -100
a O -100
" O -100
what O -100
? O -100
" O -100
kind O -100
of O -100
way O -100
. O -100
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I O -100
' O -100
ve O -100
pretty O -100
much O -100
forgotten O -100
what O -100
I O -100
had O -100
. O -100
The O -100
wife O -100
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a O -100
waffle B-ASP -100
. O -100
. O -100
. O -100
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the O -100
price O -100
it O -100
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have O -100
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orgasmic O -100
, O -100
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in O -100
the O -100
top O -100
50 O -100
% O -100
of O -100
her O -100
waffle B-ASP -100
experiences O -100
. O -100
My O -100
beverage O -100
was O -100
a O -100
Matcha O -100
Latte B-ASP -100
( O -100
had O -100
to O -100
go O -100
to O -100
website O -100
to O -100
remember O -100
) O -100
it O -100
was O -100
ok O -100
, O -100
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for O -100
that O -100
" O -100
interesting O -100
" O -100
a O -100
drink O -100
it O -100
should O -100
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more O -100
interesting O -100
. O -100
Maybe O -100
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was O -100
the O -100
day O -100
we O -100
ordered O -100
. O -100
Hmm O -100
, O -100
I O -100
just O -100
went O -100
and O -100
looked O -100
at O -100
the O -100
photos O -100
section O -100
of O -100
the O -100
Yelp O -100
listing O -100
. O -100
I O -100
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' O -100
t O -100
know O -100
if O -100
it O -100
means O -100
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on O -100
how O -100
the O -100
place O -100
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doing O -100
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day O -100
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my O -100
latte B-ASP -100
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any O -100
cute O -100
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on O -100
top O -100
. O -100
Maybe O -100
it O -100
WAS O -100
an O -100
off O -100
day O -100
. O -100
Or O -100
maybe O -100
they O -100
didn O -100
' O -100
t O -100
like O -100
us O -100
: O -100
O O -100
Service B-ASP -100
. O -100
. O -100
. O -100
Ok O -100
, O -100
friendly O -100
, O -100
but O -100
disorganized O -100
. O -100
It O -100
was O -100
fairly O -100
busy O -100
, O -100
but O -100
they O -100
had O -100
lots O -100
of O -100
staff O -100
. O -100
The O -100
building B-ASP -100
and O -100
how O -100
they O -100
used O -100
it O -100
was O -100
great O -100
! O -100
Nice O -100
and O -100
quirky O -100
. O -100
That O -100
is O -100
what O -100
moved O -100
me O -100
to O -100
consider O -100
3 O -100
stars O -100
. O -100
The O -100
windows O -100
in O -100
the O -100
bathroom O -100
doors O -100
did O -100
take O -100
me O -100
back O -100
to O -100
my O -100
time O -100
in O -100
Europe O -100
( O -100
not O -100
really O -100
my O -100
favorite O -100
feature O -100
of O -100
Europe O -100
, O -100
but O -100
hey O -100
, O -100
nostalgia O -100
! O -100
) O -100
. O -100
The O -100
back O -100
dining O -100
area B-ASP -100
was O -100
worth O -100
wandering O -100
back O -100
to O -100
take O -100
a O -100
look O -100
at O -100
. O -100
Bottom O -100
line O -100
: O -100
If O -100
I O -100
had O -100
waited B-ASP Negative
in O -100
line O -100
more O -100
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4 O -100
minutes O -100
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get O -100
in O -100
I O -100
' O -100
d O -100
feel O -100
really O -100
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. O -100
As O -100
is O -100
, O -100
I O -100
can O -100
' O -100
t O -100
recommend O -100
it O -100
, O -100
but O -100
if O -100
you O -100
try O -100
it O -100
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like O -100
it O -100
, O -100
maybe O -100
I O -100
' O -100
m O -100
missing O -100
something O -100
. O -100

This O -100
tucked O -100
away O -100
spot O -100
in O -100
lenox O -100
square O -100
mall O -100
is O -100
an O -100
upbeat O -100
swanky O -100
communal O -100
seating O -100
new O -100
american O -100
cuisine O -100
restaurant O -100
. O -100
The O -100
location O -100
is O -100
great O -100
. O -100
But O -100
the O -100
location O -100
is O -100
the O -100
reason O -100
it O -100
is O -100
very O -100
pricey O -100
for O -100
what O -100
you O -100
get O -100
. O -100
Went O -100
there O -100
with O -100
my O -100
husband O -100
and O -100
son O -100
snd O -100
literally O -100
had O -100
2 O -100
sandwiches O -100
, O -100
chicken O -100
with O -100
the O -100
bones O -100
in O -100
plate O -100
, O -100
2 O -100
local O -100
brews O -100
and O -100
a O -100
artisan O -100
cheese O -100
and O -100
charcuterie O -100
app O -100
was O -100
100 O -100
bucks O -100
. O -100
Tasty O -100
but O -100
not O -100
worth O -100
it B-ASP Negative
. O -100
Love O -100
great O -100
food B-ASP -100
as O -100
a O -100
chef O -100
and O -100
once O -100
owned O -100
my O -100
own O -100
restaurant O -100
but O -100
the O -100
service B-ASP -100
was O -100
mediocre O -100
at O -100
best O -100
. O -100
Waited B-ASP -100
45 O -100
mins O -100
after O -100
our O -100
apps O -100
for O -100
our O -100
main O -100
course O -100
. O -100
Tuesday O -100
night O -100
and O -100
it O -100
wasn O -100
' O -100
t O -100
busy O -100
. O -100
< O -100
U O -100
+ O -100
200D O -100
> O -100
Too O -100
much O -100
good O -100
food O -100
around O -100
, O -100
wont O -100
be O -100
back O -100
. O -100

This O -100
tucked O -100
away O -100
spot O -100
in O -100
lenox O -100
square O -100
mall O -100
is O -100
an O -100
upbeat O -100
swanky O -100
communal O -100
seating O -100
new O -100
american O -100
cuisine O -100
restaurant O -100
. O -100
The O -100
location O -100
is O -100
great O -100
. O -100
But O -100
the O -100
location O -100
is O -100
the O -100
reason O -100
it O -100
is O -100
very O -100
pricey O -100
for O -100
what O -100
you O -100
get O -100
. O -100
Went O -100
there O -100
with O -100
my O -100
husband O -100
and O -100
son O -100
snd O -100
literally O -100
had O -100
2 O -100
sandwiches O -100
, O -100
chicken O -100
with O -100
the O -100
bones O -100
in O -100
plate O -100
, O -100
2 O -100
local O -100
brews O -100
and O -100
a O -100
artisan O -100
cheese O -100
and O -100
charcuterie O -100
app O -100
was O -100
100 O -100
bucks O -100
. O -100
Tasty O -100
but O -100
not O -100
worth O -100
it B-ASP -100
. O -100
Love O -100
great O -100
food B-ASP Positive
as O -100
a O -100
chef O -100
and O -100
once O -100
owned O -100
my O -100
own O -100
restaurant O -100
but O -100
the O -100
service B-ASP -100
was O -100
mediocre O -100
at O -100
best O -100
. O -100
Waited B-ASP -100
45 O -100
mins O -100
after O -100
our O -100
apps O -100
for O -100
our O -100
main O -100
course O -100
. O -100
Tuesday O -100
night O -100
and O -100
it O -100
wasn O -100
' O -100
t O -100
busy O -100
. O -100
< O -100
U O -100
+ O -100
200D O -100
> O -100
Too O -100
much O -100
good O -100
food O -100
around O -100
, O -100
wont O -100
be O -100
back O -100
. O -100

This O -100
tucked O -100
away O -100
spot O -100
in O -100
lenox O -100
square O -100
mall O -100
is O -100
an O -100
upbeat O -100
swanky O -100
communal O -100
seating O -100
new O -100
american O -100
cuisine O -100
restaurant O -100
. O -100
The O -100
location O -100
is O -100
great O -100
. O -100
But O -100
the O -100
location O -100
is O -100
the O -100
reason O -100
it O -100
is O -100
very O -100
pricey O -100
for O -100
what O -100
you O -100
get O -100
. O -100
Went O -100
there O -100
with O -100
my O -100
husband O -100
and O -100
son O -100
snd O -100
literally O -100
had O -100
2 O -100
sandwiches O -100
, O -100
chicken O -100
with O -100
the O -100
bones O -100
in O -100
plate O -100
, O -100
2 O -100
local O -100
brews O -100
and O -100
a O -100
artisan O -100
cheese O -100
and O -100
charcuterie O -100
app O -100
was O -100
100 O -100
bucks O -100
. O -100
Tasty O -100
but O -100
not O -100
worth O -100
it B-ASP -100
. O -100
Love O -100
great O -100
food B-ASP -100
as O -100
a O -100
chef O -100
and O -100
once O -100
owned O -100
my O -100
own O -100
restaurant O -100
but O -100
the O -100
service B-ASP Neutral
was O -100
mediocre O -100
at O -100
best O -100
. O -100
Waited B-ASP -100
45 O -100
mins O -100
after O -100
our O -100
apps O -100
for O -100
our O -100
main O -100
course O -100
. O -100
Tuesday O -100
night O -100
and O -100
it O -100
wasn O -100
' O -100
t O -100
busy O -100
. O -100
< O -100
U O -100
+ O -100
200D O -100
> O -100
Too O -100
much O -100
good O -100
food O -100
around O -100
, O -100
wont O -100
be O -100
back O -100
. O -100

This O -100
tucked O -100
away O -100
spot O -100
in O -100
lenox O -100
square O -100
mall O -100
is O -100
an O -100
upbeat O -100
swanky O -100
communal O -100
seating O -100
new O -100
american O -100
cuisine O -100
restaurant O -100
. O -100
The O -100
location O -100
is O -100
great O -100
. O -100
But O -100
the O -100
location O -100
is O -100
the O -100
reason O -100
it O -100
is O -100
very O -100
pricey O -100
for O -100
what O -100
you O -100
get O -100
. O -100
Went O -100
there O -100
with O -100
my O -100
husband O -100
and O -100
son O -100
snd O -100
literally O -100
had O -100
2 O -100
sandwiches O -100
, O -100
chicken O -100
with O -100
the O -100
bones O -100
in O -100
plate O -100
, O -100
2 O -100
local O -100
brews O -100
and O -100
a O -100
artisan O -100
cheese O -100
and O -100
charcuterie O -100
app O -100
was O -100
100 O -100
bucks O -100
. O -100
Tasty O -100
but O -100
not O -100
worth O -100
it B-ASP -100
. O -100
Love O -100
great O -100
food B-ASP -100
as O -100
a O -100
chef O -100
and O -100
once O -100
owned O -100
my O -100
own O -100
restaurant O -100
but O -100
the O -100
service B-ASP -100
was O -100
mediocre O -100
at O -100
best O -100
. O -100
Waited B-ASP Negative
45 O -100
mins O -100
after O -100
our O -100
apps O -100
for O -100
our O -100
main O -100
course O -100
. O -100
Tuesday O -100
night O -100
and O -100
it O -100
wasn O -100
' O -100
t O -100
busy O -100
. O -100
< O -100
U O -100
+ O -100
200D O -100
> O -100
Too O -100
much O -100
good O -100
food O -100
around O -100
, O -100
wont O -100
be O -100
back O -100
. O -100

After O -100
hearing O -100
great O -100
things O -100
for O -100
months O -100
, O -100
I O -100
decided O -100
to O -100
finally O -100
try O -100
Bambolina O -100
only O -100
just O -100
a O -100
couple O -100
weeks O -100
ago O -100
but O -100
I O -100
' O -100
ve O -100
already O -100
been O -100
back O -100
several O -100
times O -100
. O -100
It B-ASP Positive
' O -100
s O -100
so O -100
good O -100
I O -100
just O -100
can O -100
' O -100
t O -100
keep O -100
away O -100
! O -100
All O -100
of O -100
the O -100
pizzas B-ASP -100
are O -100
out O -100
of O -100
this O -100
world O -100
from O -100
the O -100
classic O -100
Margherita O -100
to O -100
The O -100
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Market O -100
which O -100
is O -100
a O -100
pesto O -100
masterpiece O -100
topped O -100
with O -100
folded O -100
zucchini O -100
, O -100
chopped O -100
asparagus O -100
and O -100
snow O -100
peas O -100
and O -100
finished O -100
with O -100
a O -100
soft O -100
egg O -100
! O -100
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favorites O -100
though O -100
are O -100
the O -100
Sopressato O -100
and O -100
the O -100
Mushroom O -100
. O -100
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salads B-ASP -100
are O -100
delicious O -100
as O -100
well O -100
and O -100
very O -100
beautiful O -100
! O -100
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favorite O -100
appetizer O -100
is O -100
the O -100
Burrata B-ASP -100
Caprese I-ASP -100
which O -100
I O -100
think O -100
is O -100
best O -100
in O -100
town O -100
. O -100
I O -100
haven O -100
' O -100
t O -100
tried O -100
any O -100
of O -100
the O -100
entrees O -100
or O -100
deserts O -100
yet O -100
but O -100
I O -100
may O -100
need O -100
to O -100
because O -100
I O -100
have O -100
yet O -100
to O -100
be O -100
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. O -100

After O -100
hearing O -100
great O -100
things O -100
for O -100
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, O -100
I O -100
decided O -100
to O -100
finally O -100
try O -100
Bambolina O -100
only O -100
just O -100
a O -100
couple O -100
weeks O -100
ago O -100
but O -100
I O -100
' O -100
ve O -100
already O -100
been O -100
back O -100
several O -100
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. O -100
It B-ASP -100
' O -100
s O -100
so O -100
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just O -100
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t O -100
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away O -100
! O -100
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of O -100
the O -100
pizzas B-ASP Positive
are O -100
out O -100
of O -100
this O -100
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from O -100
the O -100
classic O -100
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to O -100
The O -100
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Market O -100
which O -100
is O -100
a O -100
pesto O -100
masterpiece O -100
topped O -100
with O -100
folded O -100
zucchini O -100
, O -100
chopped O -100
asparagus O -100
and O -100
snow O -100
peas O -100
and O -100
finished O -100
with O -100
a O -100
soft O -100
egg O -100
! O -100
My O -100
favorites O -100
though O -100
are O -100
the O -100
Sopressato O -100
and O -100
the O -100
Mushroom O -100
. O -100
The O -100
salads B-ASP -100
are O -100
delicious O -100
as O -100
well O -100
and O -100
very O -100
beautiful O -100
! O -100
My O -100
favorite O -100
appetizer O -100
is O -100
the O -100
Burrata B-ASP -100
Caprese I-ASP -100
which O -100
I O -100
think O -100
is O -100
best O -100
in O -100
town O -100
. O -100
I O -100
haven O -100
' O -100
t O -100
tried O -100
any O -100
of O -100
the O -100
entrees O -100
or O -100
deserts O -100
yet O -100
but O -100
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may O -100
need O -100
to O -100
because O -100
I O -100
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yet O -100
to O -100
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. O -100

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hearing O -100
great O -100
things O -100
for O -100
months O -100
, O -100
I O -100
decided O -100
to O -100
finally O -100
try O -100
Bambolina O -100
only O -100
just O -100
a O -100
couple O -100
weeks O -100
ago O -100
but O -100
I O -100
' O -100
ve O -100
already O -100
been O -100
back O -100
several O -100
times O -100
. O -100
It B-ASP -100
' O -100
s O -100
so O -100
good O -100
I O -100
just O -100
can O -100
' O -100
t O -100
keep O -100
away O -100
! O -100
All O -100
of O -100
the O -100
pizzas B-ASP -100
are O -100
out O -100
of O -100
this O -100
world O -100
from O -100
the O -100
classic O -100
Margherita O -100
to O -100
The O -100
Farmers O -100
Market O -100
which O -100
is O -100
a O -100
pesto O -100
masterpiece O -100
topped O -100
with O -100
folded O -100
zucchini O -100
, O -100
chopped O -100
asparagus O -100
and O -100
snow O -100
peas O -100
and O -100
finished O -100
with O -100
a O -100
soft O -100
egg O -100
! O -100
My O -100
favorites O -100
though O -100
are O -100
the O -100
Sopressato O -100
and O -100
the O -100
Mushroom O -100
. O -100
The O -100
salads B-ASP Positive
are O -100
delicious O -100
as O -100
well O -100
and O -100
very O -100
beautiful O -100
! O -100
My O -100
favorite O -100
appetizer O -100
is O -100
the O -100
Burrata B-ASP -100
Caprese I-ASP -100
which O -100
I O -100
think O -100
is O -100
best O -100
in O -100
town O -100
. O -100
I O -100
haven O -100
' O -100
t O -100
tried O -100
any O -100
of O -100
the O -100
entrees O -100
or O -100
deserts O -100
yet O -100
but O -100
I O -100
may O -100
need O -100
to O -100
because O -100
I O -100
have O -100
yet O -100
to O -100
be O -100
disappointed O -100
. O -100

After O -100
hearing O -100
great O -100
things O -100
for O -100
months O -100
, O -100
I O -100
decided O -100
to O -100
finally O -100
try O -100
Bambolina O -100
only O -100
just O -100
a O -100
couple O -100
weeks O -100
ago O -100
but O -100
I O -100
' O -100
ve O -100
already O -100
been O -100
back O -100
several O -100
times O -100
. O -100
It B-ASP -100
' O -100
s O -100
so O -100
good O -100
I O -100
just O -100
can O -100
' O -100
t O -100
keep O -100
away O -100
! O -100
All O -100
of O -100
the O -100
pizzas B-ASP -100
are O -100
out O -100
of O -100
this O -100
world O -100
from O -100
the O -100
classic O -100
Margherita O -100
to O -100
The O -100
Farmers O -100
Market O -100
which O -100
is O -100
a O -100
pesto O -100
masterpiece O -100
topped O -100
with O -100
folded O -100
zucchini O -100
, O -100
chopped O -100
asparagus O -100
and O -100
snow O -100
peas O -100
and O -100
finished O -100
with O -100
a O -100
soft O -100
egg O -100
! O -100
My O -100
favorites O -100
though O -100
are O -100
the O -100
Sopressato O -100
and O -100
the O -100
Mushroom O -100
. O -100
The O -100
salads B-ASP -100
are O -100
delicious O -100
as O -100
well O -100
and O -100
very O -100
beautiful O -100
! O -100
My O -100
favorite O -100
appetizer O -100
is O -100
the O -100
Burrata B-ASP Positive
Caprese I-ASP Positive
which O -100
I O -100
think O -100
is O -100
best O -100
in O -100
town O -100
. O -100
I O -100
haven O -100
' O -100
t O -100
tried O -100
any O -100
of O -100
the O -100
entrees O -100
or O -100
deserts O -100
yet O -100
but O -100
I O -100
may O -100
need O -100
to O -100
because O -100
I O -100
have O -100
yet O -100
to O -100
be O -100
disappointed O -100
. O -100

We O -100
stopped O -100
by O -100
here O -100
on O -100
a O -100
Saturday O -100
night O -100
, O -100
and O -100
the O -100
place O -100
was O -100
full O -100
( O -100
small O -100
restaurant O -100
) O -100
. O -100
Luckily O -100
, O -100
we O -100
made O -100
reservations O -100
and O -100
were O -100
seated O -100
right O -100
away O -100
. O -100
The O -100
place B-ASP Positive
doesn O -100
' O -100
t O -100
look O -100
like O -100
much O -100
from O -100
the O -100
outside O -100
( O -100
off O -100
the O -100
main O -100
No O -100
. O -100
3 O -100
road O -100
area O -100
of O -100
Richmond O -100
) O -100
, O -100
but O -100
the O -100
inside B-ASP -100
is O -100
nicely O -100
decorated O -100
. O -100
We O -100
ordered O -100
: O -100
Salmon O -100
tartar O -100
( O -100
$ O -100
9 O -100
) O -100
: O -100
this O -100
came O -100
in O -100
a O -100
martini O -100
glass O -100
with O -100
nori O -100
wrappers O -100
on O -100
the O -100
side O -100
. O -100
I O -100
liked O -100
the O -100
combination O -100
of O -100
the O -100
chopped O -100
salmon O -100
, O -100
salmon O -100
roe O -100
, O -100
avocado O -100
and O -100
mango O -100
in O -100
a O -100
soy B-ASP -100
dressing I-ASP -100
. O -100
Black O -100
cod O -100
miso B-ASP -100
( O -100
$ O -100
14 O -100
) O -100
: O -100
this O -100
was O -100
really O -100
good O -100
, O -100
not O -100
too O -100
overpowered O -100
by O -100
the O -100
miso O -100
, O -100
but O -100
the O -100
slice O -100
of O -100
black O -100
cod O -100
was O -100
pretty O -100
small O -100
. O -100
However O -100
, O -100
I O -100
would O -100
order O -100
it O -100
again O -100
since O -100
it B-ASP -100
tasted O -100
good O -100
. O -100
Sushi O -100
set O -100
( O -100
$ O -100
20 O -100
) O -100
: O -100
this O -100
came O -100
with O -100
a O -100
California O -100
roll O -100
and O -100
various O -100
pieces O -100
of O -100
sushi O -100
. O -100
They O -100
use O -100
real O -100
crab O -100
in O -100
the O -100
roll B-ASP -100
, O -100
and O -100
it B-ASP -100
tasted O -100
pretty O -100
good O -100
. O -100
Assorted O -100
tempura O -100
dinner B-ASP -100
set O -100
$ O -100
14 O -100
) O -100
: O -100
the O -100
tempura O -100
was O -100
nice O -100
and O -100
lightly O -100
fried O -100
. O -100
The O -100
dinner O -100
set O -100
came O -100
with O -100
miso O -100
soup O -100
, O -100
rice O -100
, O -100
sunonomo O -100
, O -100
and O -100
spinach O -100
. O -100
We O -100
were O -100
getting O -100
full O -100
by O -100
this O -100
point O -100
, O -100
so O -100
we O -100
didn O -100
' O -100
t O -100
order O -100
the O -100
famed O -100
cr O -100
è O -100
me O -100
brulee O -100
, O -100
so O -100
we O -100
' O -100
ll O -100
have O -100
to O -100
make O -100
sure O -100
to O -100
save O -100
room O -100
for O -100
dessert O -100
next O -100
time O -100
. O -100
This O -100
is O -100
probably O -100
the O -100
best O -100
sushi O -100
restaurant O -100
that O -100
I O -100
have O -100
tried O -100
in O -100
the O -100
Richmond O -100
area O -100
: O -100
make O -100
reservations O -100
and O -100
try O -100
them O -100
out O -100
. O -100

We O -100
stopped O -100
by O -100
here O -100
on O -100
a O -100
Saturday O -100
night O -100
, O -100
and O -100
the O -100
place O -100
was O -100
full O -100
( O -100
small O -100
restaurant O -100
) O -100
. O -100
Luckily O -100
, O -100
we O -100
made O -100
reservations O -100
and O -100
were O -100
seated O -100
right O -100
away O -100
. O -100
The O -100
place B-ASP -100
doesn O -100
' O -100
t O -100
look O -100
like O -100
much O -100
from O -100
the O -100
outside O -100
( O -100
off O -100
the O -100
main O -100
No O -100
. O -100
3 O -100
road O -100
area O -100
of O -100
Richmond O -100
) O -100
, O -100
but O -100
the O -100
inside B-ASP Positive
is O -100
nicely O -100
decorated O -100
. O -100
We O -100
ordered O -100
: O -100
Salmon O -100
tartar O -100
( O -100
$ O -100
9 O -100
) O -100
: O -100
this O -100
came O -100
in O -100
a O -100
martini O -100
glass O -100
with O -100
nori O -100
wrappers O -100
on O -100
the O -100
side O -100
. O -100
I O -100
liked O -100
the O -100
combination O -100
of O -100
the O -100
chopped O -100
salmon O -100
, O -100
salmon O -100
roe O -100
, O -100
avocado O -100
and O -100
mango O -100
in O -100
a O -100
soy B-ASP -100
dressing I-ASP -100
. O -100
Black O -100
cod O -100
miso B-ASP -100
( O -100
$ O -100
14 O -100
) O -100
: O -100
this O -100
was O -100
really O -100
good O -100
, O -100
not O -100
too O -100
overpowered O -100
by O -100
the O -100
miso O -100
, O -100
but O -100
the O -100
slice O -100
of O -100
black O -100
cod O -100
was O -100
pretty O -100
small O -100
. O -100
However O -100
, O -100
I O -100
would O -100
order O -100
it O -100
again O -100
since O -100
it B-ASP -100
tasted O -100
good O -100
. O -100
Sushi O -100
set O -100
( O -100
$ O -100
20 O -100
) O -100
: O -100
this O -100
came O -100
with O -100
a O -100
California O -100
roll O -100
and O -100
various O -100
pieces O -100
of O -100
sushi O -100
. O -100
They O -100
use O -100
real O -100
crab O -100
in O -100
the O -100
roll B-ASP -100
, O -100
and O -100
it B-ASP -100
tasted O -100
pretty O -100
good O -100
. O -100
Assorted O -100
tempura O -100
dinner B-ASP -100
set O -100
$ O -100
14 O -100
) O -100
: O -100
the O -100
tempura O -100
was O -100
nice O -100
and O -100
lightly O -100
fried O -100
. O -100
The O -100
dinner O -100
set O -100
came O -100
with O -100
miso O -100
soup O -100
, O -100
rice O -100
, O -100
sunonomo O -100
, O -100
and O -100
spinach O -100
. O -100
We O -100
were O -100
getting O -100
full O -100
by O -100
this O -100
point O -100
, O -100
so O -100
we O -100
didn O -100
' O -100
t O -100
order O -100
the O -100
famed O -100
cr O -100
è O -100
me O -100
brulee O -100
, O -100
so O -100
we O -100
' O -100
ll O -100
have O -100
to O -100
make O -100
sure O -100
to O -100
save O -100
room O -100
for O -100
dessert O -100
next O -100
time O -100
. O -100
This O -100
is O -100
probably O -100
the O -100
best O -100
sushi O -100
restaurant O -100
that O -100
I O -100
have O -100
tried O -100
in O -100
the O -100
Richmond O -100
area O -100
: O -100
make O -100
reservations O -100
and O -100
try O -100
them O -100
out O -100
. O -100

We O -100
stopped O -100
by O -100
here O -100
on O -100
a O -100
Saturday O -100
night O -100
, O -100
and O -100
the O -100
place O -100
was O -100
full O -100
( O -100
small O -100
restaurant O -100
) O -100
. O -100
Luckily O -100
, O -100
we O -100
made O -100
reservations O -100
and O -100
were O -100
seated O -100
right O -100
away O -100
. O -100
The O -100
place B-ASP -100
doesn O -100
' O -100
t O -100
look O -100
like O -100
much O -100
from O -100
the O -100
outside O -100
( O -100
off O -100
the O -100
main O -100
No O -100
. O -100
3 O -100
road O -100
area O -100
of O -100
Richmond O -100
) O -100
, O -100
but O -100
the O -100
inside B-ASP -100
is O -100
nicely O -100
decorated O -100
. O -100
We O -100
ordered O -100
: O -100
Salmon O -100
tartar O -100
( O -100
$ O -100
9 O -100
) O -100
: O -100
this O -100
came O -100
in O -100
a O -100
martini O -100
glass O -100
with O -100
nori O -100
wrappers O -100
on O -100
the O -100
side O -100
. O -100
I O -100
liked O -100
the O -100
combination O -100
of O -100
the O -100
chopped O -100
salmon O -100
, O -100
salmon O -100
roe O -100
, O -100
avocado O -100
and O -100
mango O -100
in O -100
a O -100
soy B-ASP Positive
dressing I-ASP Positive
. O -100
Black O -100
cod O -100
miso B-ASP -100
( O -100
$ O -100
14 O -100
) O -100
: O -100
this O -100
was O -100
really O -100
good O -100
, O -100
not O -100
too O -100
overpowered O -100
by O -100
the O -100
miso O -100
, O -100
but O -100
the O -100
slice O -100
of O -100
black O -100
cod O -100
was O -100
pretty O -100
small O -100
. O -100
However O -100
, O -100
I O -100
would O -100
order O -100
it O -100
again O -100
since O -100
it B-ASP -100
tasted O -100
good O -100
. O -100
Sushi O -100
set O -100
( O -100
$ O -100
20 O -100
) O -100
: O -100
this O -100
came O -100
with O -100
a O -100
California O -100
roll O -100
and O -100
various O -100
pieces O -100
of O -100
sushi O -100
. O -100
They O -100
use O -100
real O -100
crab O -100
in O -100
the O -100
roll B-ASP -100
, O -100
and O -100
it B-ASP -100
tasted O -100
pretty O -100
good O -100
. O -100
Assorted O -100
tempura O -100
dinner B-ASP -100
set O -100
$ O -100
14 O -100
) O -100
: O -100
the O -100
tempura O -100
was O -100
nice O -100
and O -100
lightly O -100
fried O -100
. O -100
The O -100
dinner O -100
set O -100
came O -100
with O -100
miso O -100
soup O -100
, O -100
rice O -100
, O -100
sunonomo O -100
, O -100
and O -100
spinach O -100
. O -100
We O -100
were O -100
getting O -100
full O -100
by O -100
this O -100
point O -100
, O -100
so O -100
we O -100
didn O -100
' O -100
t O -100
order O -100
the O -100
famed O -100
cr O -100
è O -100
me O -100
brulee O -100
, O -100
so O -100
we O -100
' O -100
ll O -100
have O -100
to O -100
make O -100
sure O -100
to O -100
save O -100
room O -100
for O -100
dessert O -100
next O -100
time O -100
. O -100
This O -100
is O -100
probably O -100
the O -100
best O -100
sushi O -100
restaurant O -100
that O -100
I O -100
have O -100
tried O -100
in O -100
the O -100
Richmond O -100
area O -100
: O -100
make O -100
reservations O -100
and O -100
try O -100
them O -100
out O -100
. O -100

We O -100
stopped O -100
by O -100
here O -100
on O -100
a O -100
Saturday O -100
night O -100
, O -100
and O -100
the O -100
place O -100
was O -100
full O -100
( O -100
small O -100
restaurant O -100
) O -100
. O -100
Luckily O -100
, O -100
we O -100
made O -100
reservations O -100
and O -100
were O -100
seated O -100
right O -100
away O -100
. O -100
The O -100
place B-ASP -100
doesn O -100
' O -100
t O -100
look O -100
like O -100
much O -100
from O -100
the O -100
outside O -100
( O -100
off O -100
the O -100
main O -100
No O -100
. O -100
3 O -100
road O -100
area O -100
of O -100
Richmond O -100
) O -100
, O -100
but O -100
the O -100
inside B-ASP -100
is O -100
nicely O -100
decorated O -100
. O -100
We O -100
ordered O -100
: O -100
Salmon O -100
tartar O -100
( O -100
$ O -100
9 O -100
) O -100
: O -100
this O -100
came O -100
in O -100
a O -100
martini O -100
glass O -100
with O -100
nori O -100
wrappers O -100
on O -100
the O -100
side O -100
. O -100
I O -100
liked O -100
the O -100
combination O -100
of O -100
the O -100
chopped O -100
salmon O -100
, O -100
salmon O -100
roe O -100
, O -100
avocado O -100
and O -100
mango O -100
in O -100
a O -100
soy B-ASP -100
dressing I-ASP -100
. O -100
Black O -100
cod O -100
miso B-ASP Positive
( O -100
$ O -100
14 O -100
) O -100
: O -100
this O -100
was O -100
really O -100
good O -100
, O -100
not O -100
too O -100
overpowered O -100
by O -100
the O -100
miso O -100
, O -100
but O -100
the O -100
slice O -100
of O -100
black O -100
cod O -100
was O -100
pretty O -100
small O -100
. O -100
However O -100
, O -100
I O -100
would O -100
order O -100
it O -100
again O -100
since O -100
it B-ASP -100
tasted O -100
good O -100
. O -100
Sushi O -100
set O -100
( O -100
$ O -100
20 O -100
) O -100
: O -100
this O -100
came O -100
with O -100
a O -100
California O -100
roll O -100
and O -100
various O -100
pieces O -100
of O -100
sushi O -100
. O -100
They O -100
use O -100
real O -100
crab O -100
in O -100
the O -100
roll B-ASP -100
, O -100
and O -100
it B-ASP -100
tasted O -100
pretty O -100
good O -100
. O -100
Assorted O -100
tempura O -100
dinner B-ASP -100
set O -100
$ O -100
14 O -100
) O -100
: O -100
the O -100
tempura O -100
was O -100
nice O -100
and O -100
lightly O -100
fried O -100
. O -100
The O -100
dinner O -100
set O -100
came O -100
with O -100
miso O -100
soup O -100
, O -100
rice O -100
, O -100
sunonomo O -100
, O -100
and O -100
spinach O -100
. O -100
We O -100
were O -100
getting O -100
full O -100
by O -100
this O -100
point O -100
, O -100
so O -100
we O -100
didn O -100
' O -100
t O -100
order O -100
the O -100
famed O -100
cr O -100
è O -100
me O -100
brulee O -100
, O -100
so O -100
we O -100
' O -100
ll O -100
have O -100
to O -100
make O -100
sure O -100
to O -100
save O -100
room O -100
for O -100
dessert O -100
next O -100
time O -100
. O -100
This O -100
is O -100
probably O -100
the O -100
best O -100
sushi O -100
restaurant O -100
that O -100
I O -100
have O -100
tried O -100
in O -100
the O -100
Richmond O -100
area O -100
: O -100
make O -100
reservations O -100
and O -100
try O -100
them O -100
out O -100
. O -100

We O -100
stopped O -100
by O -100
here O -100
on O -100
a O -100
Saturday O -100
night O -100
, O -100
and O -100
the O -100
place O -100
was O -100
full O -100
( O -100
small O -100
restaurant O -100
) O -100
. O -100
Luckily O -100
, O -100
we O -100
made O -100
reservations O -100
and O -100
were O -100
seated O -100
right O -100
away O -100
. O -100
The O -100
place B-ASP -100
doesn O -100
' O -100
t O -100
look O -100
like O -100
much O -100
from O -100
the O -100
outside O -100
( O -100
off O -100
the O -100
main O -100
No O -100
. O -100
3 O -100
road O -100
area O -100
of O -100
Richmond O -100
) O -100
, O -100
but O -100
the O -100
inside B-ASP -100
is O -100
nicely O -100
decorated O -100
. O -100
We O -100
ordered O -100
: O -100
Salmon O -100
tartar O -100
( O -100
$ O -100
9 O -100
) O -100
: O -100
this O -100
came O -100
in O -100
a O -100
martini O -100
glass O -100
with O -100
nori O -100
wrappers O -100
on O -100
the O -100
side O -100
. O -100
I O -100
liked O -100
the O -100
combination O -100
of O -100
the O -100
chopped O -100
salmon O -100
, O -100
salmon O -100
roe O -100
, O -100
avocado O -100
and O -100
mango O -100
in O -100
a O -100
soy B-ASP -100
dressing I-ASP -100
. O -100
Black O -100
cod O -100
miso B-ASP -100
( O -100
$ O -100
14 O -100
) O -100
: O -100
this O -100
was O -100
really O -100
good O -100
, O -100
not O -100
too O -100
overpowered O -100
by O -100
the O -100
miso O -100
, O -100
but O -100
the O -100
slice O -100
of O -100
black O -100
cod O -100
was O -100
pretty O -100
small O -100
. O -100
However O -100
, O -100
I O -100
would O -100
order O -100
it O -100
again O -100
since O -100
it B-ASP Positive
tasted O -100
good O -100
. O -100
Sushi O -100
set O -100
( O -100
$ O -100
20 O -100
) O -100
: O -100
this O -100
came O -100
with O -100
a O -100
California O -100
roll O -100
and O -100
various O -100
pieces O -100
of O -100
sushi O -100
. O -100
They O -100
use O -100
real O -100
crab O -100
in O -100
the O -100
roll B-ASP -100
, O -100
and O -100
it B-ASP -100
tasted O -100
pretty O -100
good O -100
. O -100
Assorted O -100
tempura O -100
dinner B-ASP -100
set O -100
$ O -100
14 O -100
) O -100
: O -100
the O -100
tempura O -100
was O -100
nice O -100
and O -100
lightly O -100
fried O -100
. O -100
The O -100
dinner O -100
set O -100
came O -100
with O -100
miso O -100
soup O -100
, O -100
rice O -100
, O -100
sunonomo O -100
, O -100
and O -100
spinach O -100
. O -100
We O -100
were O -100
getting O -100
full O -100
by O -100
this O -100
point O -100
, O -100
so O -100
we O -100
didn O -100
' O -100
t O -100
order O -100
the O -100
famed O -100
cr O -100
è O -100
me O -100
brulee O -100
, O -100
so O -100
we O -100
' O -100
ll O -100
have O -100
to O -100
make O -100
sure O -100
to O -100
save O -100
room O -100
for O -100
dessert O -100
next O -100
time O -100
. O -100
This O -100
is O -100
probably O -100
the O -100
best O -100
sushi O -100
restaurant O -100
that O -100
I O -100
have O -100
tried O -100
in O -100
the O -100
Richmond O -100
area O -100
: O -100
make O -100
reservations O -100
and O -100
try O -100
them O -100
out O -100
. O -100

We O -100
stopped O -100
by O -100
here O -100
on O -100
a O -100
Saturday O -100
night O -100
, O -100
and O -100
the O -100
place O -100
was O -100
full O -100
( O -100
small O -100
restaurant O -100
) O -100
. O -100
Luckily O -100
, O -100
we O -100
made O -100
reservations O -100
and O -100
were O -100
seated O -100
right O -100
away O -100
. O -100
The O -100
place B-ASP -100
doesn O -100
' O -100
t O -100
look O -100
like O -100
much O -100
from O -100
the O -100
outside O -100
( O -100
off O -100
the O -100
main O -100
No O -100
. O -100
3 O -100
road O -100
area O -100
of O -100
Richmond O -100
) O -100
, O -100
but O -100
the O -100
inside B-ASP -100
is O -100
nicely O -100
decorated O -100
. O -100
We O -100
ordered O -100
: O -100
Salmon O -100
tartar O -100
( O -100
$ O -100
9 O -100
) O -100
: O -100
this O -100
came O -100
in O -100
a O -100
martini O -100
glass O -100
with O -100
nori O -100
wrappers O -100
on O -100
the O -100
side O -100
. O -100
I O -100
liked O -100
the O -100
combination O -100
of O -100
the O -100
chopped O -100
salmon O -100
, O -100
salmon O -100
roe O -100
, O -100
avocado O -100
and O -100
mango O -100
in O -100
a O -100
soy B-ASP -100
dressing I-ASP -100
. O -100
Black O -100
cod O -100
miso B-ASP -100
( O -100
$ O -100
14 O -100
) O -100
: O -100
this O -100
was O -100
really O -100
good O -100
, O -100
not O -100
too O -100
overpowered O -100
by O -100
the O -100
miso O -100
, O -100
but O -100
the O -100
slice O -100
of O -100
black O -100
cod O -100
was O -100
pretty O -100
small O -100
. O -100
However O -100
, O -100
I O -100
would O -100
order O -100
it O -100
again O -100
since O -100
it B-ASP -100
tasted O -100
good O -100
. O -100
Sushi O -100
set O -100
( O -100
$ O -100
20 O -100
) O -100
: O -100
this O -100
came O -100
with O -100
a O -100
California O -100
roll O -100
and O -100
various O -100
pieces O -100
of O -100
sushi O -100
. O -100
They O -100
use O -100
real O -100
crab O -100
in O -100
the O -100
roll B-ASP Positive
, O -100
and O -100
it B-ASP -100
tasted O -100
pretty O -100
good O -100
. O -100
Assorted O -100
tempura O -100
dinner B-ASP -100
set O -100
$ O -100
14 O -100
) O -100
: O -100
the O -100
tempura O -100
was O -100
nice O -100
and O -100
lightly O -100
fried O -100
. O -100
The O -100
dinner O -100
set O -100
came O -100
with O -100
miso O -100
soup O -100
, O -100
rice O -100
, O -100
sunonomo O -100
, O -100
and O -100
spinach O -100
. O -100
We O -100
were O -100
getting O -100
full O -100
by O -100
this O -100
point O -100
, O -100
so O -100
we O -100
didn O -100
' O -100
t O -100
order O -100
the O -100
famed O -100
cr O -100
è O -100
me O -100
brulee O -100
, O -100
so O -100
we O -100
' O -100
ll O -100
have O -100
to O -100
make O -100
sure O -100
to O -100
save O -100
room O -100
for O -100
dessert O -100
next O -100
time O -100
. O -100
This O -100
is O -100
probably O -100
the O -100
best O -100
sushi O -100
restaurant O -100
that O -100
I O -100
have O -100
tried O -100
in O -100
the O -100
Richmond O -100
area O -100
: O -100
make O -100
reservations O -100
and O -100
try O -100
them O -100
out O -100
. O -100

We O -100
stopped O -100
by O -100
here O -100
on O -100
a O -100
Saturday O -100
night O -100
, O -100
and O -100
the O -100
place O -100
was O -100
full O -100
( O -100
small O -100
restaurant O -100
) O -100
. O -100
Luckily O -100
, O -100
we O -100
made O -100
reservations O -100
and O -100
were O -100
seated O -100
right O -100
away O -100
. O -100
The O -100
place B-ASP -100
doesn O -100
' O -100
t O -100
look O -100
like O -100
much O -100
from O -100
the O -100
outside O -100
( O -100
off O -100
the O -100
main O -100
No O -100
. O -100
3 O -100
road O -100
area O -100
of O -100
Richmond O -100
) O -100
, O -100
but O -100
the O -100
inside B-ASP -100
is O -100
nicely O -100
decorated O -100
. O -100
We O -100
ordered O -100
: O -100
Salmon O -100
tartar O -100
( O -100
$ O -100
9 O -100
) O -100
: O -100
this O -100
came O -100
in O -100
a O -100
martini O -100
glass O -100
with O -100
nori O -100
wrappers O -100
on O -100
the O -100
side O -100
. O -100
I O -100
liked O -100
the O -100
combination O -100
of O -100
the O -100
chopped O -100
salmon O -100
, O -100
salmon O -100
roe O -100
, O -100
avocado O -100
and O -100
mango O -100
in O -100
a O -100
soy B-ASP -100
dressing I-ASP -100
. O -100
Black O -100
cod O -100
miso B-ASP -100
( O -100
$ O -100
14 O -100
) O -100
: O -100
this O -100
was O -100
really O -100
good O -100
, O -100
not O -100
too O -100
overpowered O -100
by O -100
the O -100
miso O -100
, O -100
but O -100
the O -100
slice O -100
of O -100
black O -100
cod O -100
was O -100
pretty O -100
small O -100
. O -100
However O -100
, O -100
I O -100
would O -100
order O -100
it O -100
again O -100
since O -100
it B-ASP -100
tasted O -100
good O -100
. O -100
Sushi O -100
set O -100
( O -100
$ O -100
20 O -100
) O -100
: O -100
this O -100
came O -100
with O -100
a O -100
California O -100
roll O -100
and O -100
various O -100
pieces O -100
of O -100
sushi O -100
. O -100
They O -100
use O -100
real O -100
crab O -100
in O -100
the O -100
roll B-ASP -100
, O -100
and O -100
it B-ASP Positive
tasted O -100
pretty O -100
good O -100
. O -100
Assorted O -100
tempura O -100
dinner B-ASP -100
set O -100
$ O -100
14 O -100
) O -100
: O -100
the O -100
tempura O -100
was O -100
nice O -100
and O -100
lightly O -100
fried O -100
. O -100
The O -100
dinner O -100
set O -100
came O -100
with O -100
miso O -100
soup O -100
, O -100
rice O -100
, O -100
sunonomo O -100
, O -100
and O -100
spinach O -100
. O -100
We O -100
were O -100
getting O -100
full O -100
by O -100
this O -100
point O -100
, O -100
so O -100
we O -100
didn O -100
' O -100
t O -100
order O -100
the O -100
famed O -100
cr O -100
è O -100
me O -100
brulee O -100
, O -100
so O -100
we O -100
' O -100
ll O -100
have O -100
to O -100
make O -100
sure O -100
to O -100
save O -100
room O -100
for O -100
dessert O -100
next O -100
time O -100
. O -100
This O -100
is O -100
probably O -100
the O -100
best O -100
sushi O -100
restaurant O -100
that O -100
I O -100
have O -100
tried O -100
in O -100
the O -100
Richmond O -100
area O -100
: O -100
make O -100
reservations O -100
and O -100
try O -100
them O -100
out O -100
. O -100

We O -100
stopped O -100
by O -100
here O -100
on O -100
a O -100
Saturday O -100
night O -100
, O -100
and O -100
the O -100
place O -100
was O -100
full O -100
( O -100
small O -100
restaurant O -100
) O -100
. O -100
Luckily O -100
, O -100
we O -100
made O -100
reservations O -100
and O -100
were O -100
seated O -100
right O -100
away O -100
. O -100
The O -100
place B-ASP -100
doesn O -100
' O -100
t O -100
look O -100
like O -100
much O -100
from O -100
the O -100
outside O -100
( O -100
off O -100
the O -100
main O -100
No O -100
. O -100
3 O -100
road O -100
area O -100
of O -100
Richmond O -100
) O -100
, O -100
but O -100
the O -100
inside B-ASP -100
is O -100
nicely O -100
decorated O -100
. O -100
We O -100
ordered O -100
: O -100
Salmon O -100
tartar O -100
( O -100
$ O -100
9 O -100
) O -100
: O -100
this O -100
came O -100
in O -100
a O -100
martini O -100
glass O -100
with O -100
nori O -100
wrappers O -100
on O -100
the O -100
side O -100
. O -100
I O -100
liked O -100
the O -100
combination O -100
of O -100
the O -100
chopped O -100
salmon O -100
, O -100
salmon O -100
roe O -100
, O -100
avocado O -100
and O -100
mango O -100
in O -100
a O -100
soy B-ASP -100
dressing I-ASP -100
. O -100
Black O -100
cod O -100
miso B-ASP -100
( O -100
$ O -100
14 O -100
) O -100
: O -100
this O -100
was O -100
really O -100
good O -100
, O -100
not O -100
too O -100
overpowered O -100
by O -100
the O -100
miso O -100
, O -100
but O -100
the O -100
slice O -100
of O -100
black O -100
cod O -100
was O -100
pretty O -100
small O -100
. O -100
However O -100
, O -100
I O -100
would O -100
order O -100
it O -100
again O -100
since O -100
it B-ASP -100
tasted O -100
good O -100
. O -100
Sushi O -100
set O -100
( O -100
$ O -100
20 O -100
) O -100
: O -100
this O -100
came O -100
with O -100
a O -100
California O -100
roll O -100
and O -100
various O -100
pieces O -100
of O -100
sushi O -100
. O -100
They O -100
use O -100
real O -100
crab O -100
in O -100
the O -100
roll B-ASP -100
, O -100
and O -100
it B-ASP -100
tasted O -100
pretty O -100
good O -100
. O -100
Assorted O -100
tempura O -100
dinner B-ASP Positive
set O -100
$ O -100
14 O -100
) O -100
: O -100
the O -100
tempura O -100
was O -100
nice O -100
and O -100
lightly O -100
fried O -100
. O -100
The O -100
dinner O -100
set O -100
came O -100
with O -100
miso O -100
soup O -100
, O -100
rice O -100
, O -100
sunonomo O -100
, O -100
and O -100
spinach O -100
. O -100
We O -100
were O -100
getting O -100
full O -100
by O -100
this O -100
point O -100
, O -100
so O -100
we O -100
didn O -100
' O -100
t O -100
order O -100
the O -100
famed O -100
cr O -100
è O -100
me O -100
brulee O -100
, O -100
so O -100
we O -100
' O -100
ll O -100
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to O -100
make O -100
sure O -100
to O -100
save O -100
room O -100
for O -100
dessert O -100
next O -100
time O -100
. O -100
This O -100
is O -100
probably O -100
the O -100
best O -100
sushi O -100
restaurant O -100
that O -100
I O -100
have O -100
tried O -100
in O -100
the O -100
Richmond O -100
area O -100
: O -100
make O -100
reservations O -100
and O -100
try O -100
them O -100
out O -100
. O -100

Enjoyed O -100
the O -100
food B-ASP Positive
, O -100
just O -100
not O -100
so O -100
much O -100
the O -100
ordering O -100
style O -100
. O -100
Basically O -100
you O -100
order O -100
as O -100
if O -100
you O -100
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in O -100
a O -100
sushi O -100
joint O -100
. O -100
You O -100
check O -100
off O -100
what O -100
you O -100
' O -100
d O -100
like O -100
. O -100
But O -100
, O -100
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were O -100
quite O -100
a O -100
few O -100
options O -100
, O -100
more O -100
than O -100
I O -100
would O -100
like O -100
to O -100
see O -100
when O -100
I O -100
' O -100
m O -100
hungry O -100
. O -100
With O -100
that O -100
said O -100
, O -100
the O -100
food B-ASP -100
was O -100
good O -100
, O -100
the O -100
server B-ASP -100
was O -100
very O -100
nice O -100
and O -100
helpful O -100
( O -100
albeit O -100
very O -100
quite O -100
/ O -100
low O -100
voice O -100
) O -100
, O -100
and O -100
I O -100
would O -100
definitely O -100
go O -100
back O -100
! O -100

Enjoyed O -100
the O -100
food B-ASP -100
, O -100
just O -100
not O -100
so O -100
much O -100
the O -100
ordering O -100
style O -100
. O -100
Basically O -100
you O -100
order O -100
as O -100
if O -100
you O -100
are O -100
in O -100
a O -100
sushi O -100
joint O -100
. O -100
You O -100
check O -100
off O -100
what O -100
you O -100
' O -100
d O -100
like O -100
. O -100
But O -100
, O -100
there O -100
were O -100
quite O -100
a O -100
few O -100
options O -100
, O -100
more O -100
than O -100
I O -100
would O -100
like O -100
to O -100
see O -100
when O -100
I O -100
' O -100
m O -100
hungry O -100
. O -100
With O -100
that O -100
said O -100
, O -100
the O -100
food B-ASP Positive
was O -100
good O -100
, O -100
the O -100
server B-ASP -100
was O -100
very O -100
nice O -100
and O -100
helpful O -100
( O -100
albeit O -100
very O -100
quite O -100
/ O -100
low O -100
voice O -100
) O -100
, O -100
and O -100
I O -100
would O -100
definitely O -100
go O -100
back O -100
! O -100

Enjoyed O -100
the O -100
food B-ASP -100
, O -100
just O -100
not O -100
so O -100
much O -100
the O -100
ordering O -100
style O -100
. O -100
Basically O -100
you O -100
order O -100
as O -100
if O -100
you O -100
are O -100
in O -100
a O -100
sushi O -100
joint O -100
. O -100
You O -100
check O -100
off O -100
what O -100
you O -100
' O -100
d O -100
like O -100
. O -100
But O -100
, O -100
there O -100
were O -100
quite O -100
a O -100
few O -100
options O -100
, O -100
more O -100
than O -100
I O -100
would O -100
like O -100
to O -100
see O -100
when O -100
I O -100
' O -100
m O -100
hungry O -100
. O -100
With O -100
that O -100
said O -100
, O -100
the O -100
food B-ASP -100
was O -100
good O -100
, O -100
the O -100
server B-ASP Positive
was O -100
very O -100
nice O -100
and O -100
helpful O -100
( O -100
albeit O -100
very O -100
quite O -100
/ O -100
low O -100
voice O -100
) O -100
, O -100
and O -100
I O -100
would O -100
definitely O -100
go O -100
back O -100
! O -100

I O -100
absolutely O -100
love O -100
this O -100
restaurant O -100
. O -100
I O -100
' O -100
ve O -100
been O -100
coming O -100
to O -100
Brasserie O -100
for O -100
a O -100
few O -100
years O -100
now O -100
, O -100
and O -100
have O -100
had O -100
the O -100
chance O -100
to O -100
visit O -100
for O -100
brunch O -100
, O -100
lunch O -100
and O -100
dinner O -100
( O -100
and O -100
have O -100
enjoyed O -100
several O -100
of O -100
their O -100
desserts O -100
as O -100
well O -100
! O -100
) O -100
. O -100
When O -100
my O -100
family O -100
visit O -100
, O -100
especially O -100
if O -100
it O -100
' O -100
s O -100
for O -100
a O -100
special O -100
occasion O -100
, O -100
this O -100
is O -100
our O -100
go O -100
to O -100
place O -100
to O -100
celebrate O -100
. O -100
Their O -100
bloody B-ASP Positive
mary I-ASP Positive
' O -100
s O -100
in O -100
the O -100
morning O -100
go O -100
great O -100
with O -100
all O -100
of O -100
their O -100
brunch O -100
items O -100
: O -100
from O -100
the O -100
Simple O -100
Salad B-ASP -100
, O -100
to O -100
the O -100
Bordeaux B-ASP -100
Scramble I-ASP -100
and O -100
beyond O -100
. O -100
My O -100
husband O -100
goes O -100
crazy O -100
for O -100
the O -100
Croque B-ASP -100
Madame I-ASP -100
he O -100
' O -100
s O -100
had O -100
it O -100
at O -100
other O -100
places O -100
in O -100
Vegas O -100
and O -100
even O -100
Paris O -100
, O -100
and O -100
still O -100
feels O -100
they O -100
couldn O -100
' O -100
t O -100
touch O -100
the O -100
one O -100
served O -100
here O -100
! O -100
All O -100
of O -100
their O -100
salads O -100
, O -100
les O -100
frites O -100
, O -100
les O -100
moules O -100
au O -100
pistou O -100
, O -100
le O -100
saumon O -100
, O -100
I O -100
could O -100
go O -100
on O -100
and O -100
on O -100
. O -100
I O -100
' O -100
ve O -100
never O -100
been O -100
disappointed O -100
here O -100
everything B-ASP -100
is O -100
absolutely O -100
delicious O -100
. O -100
Their O -100
daily B-ASP -100
specials I-ASP -100
are O -100
always O -100
a O -100
delight O -100
as O -100
well O -100
! O -100
Don O -100
' O -100
t O -100
forget O -100
to O -100
try O -100
one O -100
of O -100
their O -100
cocktails B-ASP -100
or O -100
have O -100
a O -100
glass O -100
of O -100
wine B-ASP -100
off O -100
of O -100
their O -100
great O -100
list O -100
. O -100
Bon O -100
appetit O -100
! O -100

I O -100
absolutely O -100
love O -100
this O -100
restaurant O -100
. O -100
I O -100
' O -100
ve O -100
been O -100
coming O -100
to O -100
Brasserie O -100
for O -100
a O -100
few O -100
years O -100
now O -100
, O -100
and O -100
have O -100
had O -100
the O -100
chance O -100
to O -100
visit O -100
for O -100
brunch O -100
, O -100
lunch O -100
and O -100
dinner O -100
( O -100
and O -100
have O -100
enjoyed O -100
several O -100
of O -100
their O -100
desserts O -100
as O -100
well O -100
! O -100
) O -100
. O -100
When O -100
my O -100
family O -100
visit O -100
, O -100
especially O -100
if O -100
it O -100
' O -100
s O -100
for O -100
a O -100
special O -100
occasion O -100
, O -100
this O -100
is O -100
our O -100
go O -100
to O -100
place O -100
to O -100
celebrate O -100
. O -100
Their O -100
bloody B-ASP -100
mary I-ASP -100
' O -100
s O -100
in O -100
the O -100
morning O -100
go O -100
great O -100
with O -100
all O -100
of O -100
their O -100
brunch O -100
items O -100
: O -100
from O -100
the O -100
Simple O -100
Salad B-ASP Positive
, O -100
to O -100
the O -100
Bordeaux B-ASP -100
Scramble I-ASP -100
and O -100
beyond O -100
. O -100
My O -100
husband O -100
goes O -100
crazy O -100
for O -100
the O -100
Croque B-ASP -100
Madame I-ASP -100
he O -100
' O -100
s O -100
had O -100
it O -100
at O -100
other O -100
places O -100
in O -100
Vegas O -100
and O -100
even O -100
Paris O -100
, O -100
and O -100
still O -100
feels O -100
they O -100
couldn O -100
' O -100
t O -100
touch O -100
the O -100
one O -100
served O -100
here O -100
! O -100
All O -100
of O -100
their O -100
salads O -100
, O -100
les O -100
frites O -100
, O -100
les O -100
moules O -100
au O -100
pistou O -100
, O -100
le O -100
saumon O -100
, O -100
I O -100
could O -100
go O -100
on O -100
and O -100
on O -100
. O -100
I O -100
' O -100
ve O -100
never O -100
been O -100
disappointed O -100
here O -100
everything B-ASP -100
is O -100
absolutely O -100
delicious O -100
. O -100
Their O -100
daily B-ASP -100
specials I-ASP -100
are O -100
always O -100
a O -100
delight O -100
as O -100
well O -100
! O -100
Don O -100
' O -100
t O -100
forget O -100
to O -100
try O -100
one O -100
of O -100
their O -100
cocktails B-ASP -100
or O -100
have O -100
a O -100
glass O -100
of O -100
wine B-ASP -100
off O -100
of O -100
their O -100
great O -100
list O -100
. O -100
Bon O -100
appetit O -100
! O -100

I O -100
absolutely O -100
love O -100
this O -100
restaurant O -100
. O -100
I O -100
' O -100
ve O -100
been O -100
coming O -100
to O -100
Brasserie O -100
for O -100
a O -100
few O -100
years O -100
now O -100
, O -100
and O -100
have O -100
had O -100
the O -100
chance O -100
to O -100
visit O -100
for O -100
brunch O -100
, O -100
lunch O -100
and O -100
dinner O -100
( O -100
and O -100
have O -100
enjoyed O -100
several O -100
of O -100
their O -100
desserts O -100
as O -100
well O -100
! O -100
) O -100
. O -100
When O -100
my O -100
family O -100
visit O -100
, O -100
especially O -100
if O -100
it O -100
' O -100
s O -100
for O -100
a O -100
special O -100
occasion O -100
, O -100
this O -100
is O -100
our O -100
go O -100
to O -100
place O -100
to O -100
celebrate O -100
. O -100
Their O -100
bloody B-ASP -100
mary I-ASP -100
' O -100
s O -100
in O -100
the O -100
morning O -100
go O -100
great O -100
with O -100
all O -100
of O -100
their O -100
brunch O -100
items O -100
: O -100
from O -100
the O -100
Simple O -100
Salad B-ASP -100
, O -100
to O -100
the O -100
Bordeaux B-ASP Positive
Scramble I-ASP Positive
and O -100
beyond O -100
. O -100
My O -100
husband O -100
goes O -100
crazy O -100
for O -100
the O -100
Croque B-ASP -100
Madame I-ASP -100
he O -100
' O -100
s O -100
had O -100
it O -100
at O -100
other O -100
places O -100
in O -100
Vegas O -100
and O -100
even O -100
Paris O -100
, O -100
and O -100
still O -100
feels O -100
they O -100
couldn O -100
' O -100
t O -100
touch O -100
the O -100
one O -100
served O -100
here O -100
! O -100
All O -100
of O -100
their O -100
salads O -100
, O -100
les O -100
frites O -100
, O -100
les O -100
moules O -100
au O -100
pistou O -100
, O -100
le O -100
saumon O -100
, O -100
I O -100
could O -100
go O -100
on O -100
and O -100
on O -100
. O -100
I O -100
' O -100
ve O -100
never O -100
been O -100
disappointed O -100
here O -100
everything B-ASP -100
is O -100
absolutely O -100
delicious O -100
. O -100
Their O -100
daily B-ASP -100
specials I-ASP -100
are O -100
always O -100
a O -100
delight O -100
as O -100
well O -100
! O -100
Don O -100
' O -100
t O -100
forget O -100
to O -100
try O -100
one O -100
of O -100
their O -100
cocktails B-ASP -100
or O -100
have O -100
a O -100
glass O -100
of O -100
wine B-ASP -100
off O -100
of O -100
their O -100
great O -100
list O -100
. O -100
Bon O -100
appetit O -100
! O -100

I O -100
absolutely O -100
love O -100
this O -100
restaurant O -100
. O -100
I O -100
' O -100
ve O -100
been O -100
coming O -100
to O -100
Brasserie O -100
for O -100
a O -100
few O -100
years O -100
now O -100
, O -100
and O -100
have O -100
had O -100
the O -100
chance O -100
to O -100
visit O -100
for O -100
brunch O -100
, O -100
lunch O -100
and O -100
dinner O -100
( O -100
and O -100
have O -100
enjoyed O -100
several O -100
of O -100
their O -100
desserts O -100
as O -100
well O -100
! O -100
) O -100
. O -100
When O -100
my O -100
family O -100
visit O -100
, O -100
especially O -100
if O -100
it O -100
' O -100
s O -100
for O -100
a O -100
special O -100
occasion O -100
, O -100
this O -100
is O -100
our O -100
go O -100
to O -100
place O -100
to O -100
celebrate O -100
. O -100
Their O -100
bloody B-ASP -100
mary I-ASP -100
' O -100
s O -100
in O -100
the O -100
morning O -100
go O -100
great O -100
with O -100
all O -100
of O -100
their O -100
brunch O -100
items O -100
: O -100
from O -100
the O -100
Simple O -100
Salad B-ASP -100
, O -100
to O -100
the O -100
Bordeaux B-ASP -100
Scramble I-ASP -100
and O -100
beyond O -100
. O -100
My O -100
husband O -100
goes O -100
crazy O -100
for O -100
the O -100
Croque B-ASP Positive
Madame I-ASP Positive
he O -100
' O -100
s O -100
had O -100
it O -100
at O -100
other O -100
places O -100
in O -100
Vegas O -100
and O -100
even O -100
Paris O -100
, O -100
and O -100
still O -100
feels O -100
they O -100
couldn O -100
' O -100
t O -100
touch O -100
the O -100
one O -100
served O -100
here O -100
! O -100
All O -100
of O -100
their O -100
salads O -100
, O -100
les O -100
frites O -100
, O -100
les O -100
moules O -100
au O -100
pistou O -100
, O -100
le O -100
saumon O -100
, O -100
I O -100
could O -100
go O -100
on O -100
and O -100
on O -100
. O -100
I O -100
' O -100
ve O -100
never O -100
been O -100
disappointed O -100
here O -100
everything B-ASP -100
is O -100
absolutely O -100
delicious O -100
. O -100
Their O -100
daily B-ASP -100
specials I-ASP -100
are O -100
always O -100
a O -100
delight O -100
as O -100
well O -100
! O -100
Don O -100
' O -100
t O -100
forget O -100
to O -100
try O -100
one O -100
of O -100
their O -100
cocktails B-ASP -100
or O -100
have O -100
a O -100
glass O -100
of O -100
wine B-ASP -100
off O -100
of O -100
their O -100
great O -100
list O -100
. O -100
Bon O -100
appetit O -100
! O -100

I O -100
absolutely O -100
love O -100
this O -100
restaurant O -100
. O -100
I O -100
' O -100
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been O -100
coming O -100
to O -100
Brasserie O -100
for O -100
a O -100
few O -100
years O -100
now O -100
, O -100
and O -100
have O -100
had O -100
the O -100
chance O -100
to O -100
visit O -100
for O -100
brunch O -100
, O -100
lunch O -100
and O -100
dinner O -100
( O -100
and O -100
have O -100
enjoyed O -100
several O -100
of O -100
their O -100
desserts O -100
as O -100
well O -100
! O -100
) O -100
. O -100
When O -100
my O -100
family O -100
visit O -100
, O -100
especially O -100
if O -100
it O -100
' O -100
s O -100
for O -100
a O -100
special O -100
occasion O -100
, O -100
this O -100
is O -100
our O -100
go O -100
to O -100
place O -100
to O -100
celebrate O -100
. O -100
Their O -100
bloody B-ASP -100
mary I-ASP -100
' O -100
s O -100
in O -100
the O -100
morning O -100
go O -100
great O -100
with O -100
all O -100
of O -100
their O -100
brunch O -100
items O -100
: O -100
from O -100
the O -100
Simple O -100
Salad B-ASP -100
, O -100
to O -100
the O -100
Bordeaux B-ASP -100
Scramble I-ASP -100
and O -100
beyond O -100
. O -100
My O -100
husband O -100
goes O -100
crazy O -100
for O -100
the O -100
Croque B-ASP -100
Madame I-ASP -100
he O -100
' O -100
s O -100
had O -100
it O -100
at O -100
other O -100
places O -100
in O -100
Vegas O -100
and O -100
even O -100
Paris O -100
, O -100
and O -100
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feels O -100
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couldn O -100
' O -100
t O -100
touch O -100
the O -100
one O -100
served O -100
here O -100
! O -100
All O -100
of O -100
their O -100
salads O -100
, O -100
les O -100
frites O -100
, O -100
les O -100
moules O -100
au O -100
pistou O -100
, O -100
le O -100
saumon O -100
, O -100
I O -100
could O -100
go O -100
on O -100
and O -100
on O -100
. O -100
I O -100
' O -100
ve O -100
never O -100
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disappointed O -100
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everything B-ASP Positive
is O -100
absolutely O -100
delicious O -100
. O -100
Their O -100
daily B-ASP -100
specials I-ASP -100
are O -100
always O -100
a O -100
delight O -100
as O -100
well O -100
! O -100
Don O -100
' O -100
t O -100
forget O -100
to O -100
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one O -100
of O -100
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cocktails B-ASP -100
or O -100
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a O -100
glass O -100
of O -100
wine B-ASP -100
off O -100
of O -100
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list O -100
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Bon O -100
appetit O -100
! O -100

I O -100
absolutely O -100
love O -100
this O -100
restaurant O -100
. O -100
I O -100
' O -100
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coming O -100
to O -100
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for O -100
a O -100
few O -100
years O -100
now O -100
, O -100
and O -100
have O -100
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the O -100
chance O -100
to O -100
visit O -100
for O -100
brunch O -100
, O -100
lunch O -100
and O -100
dinner O -100
( O -100
and O -100
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enjoyed O -100
several O -100
of O -100
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desserts O -100
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. O -100
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my O -100
family O -100
visit O -100
, O -100
especially O -100
if O -100
it O -100
' O -100
s O -100
for O -100
a O -100
special O -100
occasion O -100
, O -100
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is O -100
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go O -100
to O -100
place O -100
to O -100
celebrate O -100
. O -100
Their O -100
bloody B-ASP -100
mary I-ASP -100
' O -100
s O -100
in O -100
the O -100
morning O -100
go O -100
great O -100
with O -100
all O -100
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items O -100
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from O -100
the O -100
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Salad B-ASP -100
, O -100
to O -100
the O -100
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Scramble I-ASP -100
and O -100
beyond O -100
. O -100
My O -100
husband O -100
goes O -100
crazy O -100
for O -100
the O -100
Croque B-ASP -100
Madame I-ASP -100
he O -100
' O -100
s O -100
had O -100
it O -100
at O -100
other O -100
places O -100
in O -100
Vegas O -100
and O -100
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Paris O -100
, O -100
and O -100
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feels O -100
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couldn O -100
' O -100
t O -100
touch O -100
the O -100
one O -100
served O -100
here O -100
! O -100
All O -100
of O -100
their O -100
salads O -100
, O -100
les O -100
frites O -100
, O -100
les O -100
moules O -100
au O -100
pistou O -100
, O -100
le O -100
saumon O -100
, O -100
I O -100
could O -100
go O -100
on O -100
and O -100
on O -100
. O -100
I O -100
' O -100
ve O -100
never O -100
been O -100
disappointed O -100
here O -100
everything B-ASP -100
is O -100
absolutely O -100
delicious O -100
. O -100
Their O -100
daily B-ASP Positive
specials I-ASP Positive
are O -100
always O -100
a O -100
delight O -100
as O -100
well O -100
! O -100
Don O -100
' O -100
t O -100
forget O -100
to O -100
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one O -100
of O -100
their O -100
cocktails B-ASP -100
or O -100
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a O -100
glass O -100
of O -100
wine B-ASP -100
off O -100
of O -100
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list O -100
. O -100
Bon O -100
appetit O -100
! O -100

I O -100
absolutely O -100
love O -100
this O -100
restaurant O -100
. O -100
I O -100
' O -100
ve O -100
been O -100
coming O -100
to O -100
Brasserie O -100
for O -100
a O -100
few O -100
years O -100
now O -100
, O -100
and O -100
have O -100
had O -100
the O -100
chance O -100
to O -100
visit O -100
for O -100
brunch O -100
, O -100
lunch O -100
and O -100
dinner O -100
( O -100
and O -100
have O -100
enjoyed O -100
several O -100
of O -100
their O -100
desserts O -100
as O -100
well O -100
! O -100
) O -100
. O -100
When O -100
my O -100
family O -100
visit O -100
, O -100
especially O -100
if O -100
it O -100
' O -100
s O -100
for O -100
a O -100
special O -100
occasion O -100
, O -100
this O -100
is O -100
our O -100
go O -100
to O -100
place O -100
to O -100
celebrate O -100
. O -100
Their O -100
bloody B-ASP -100
mary I-ASP -100
' O -100
s O -100
in O -100
the O -100
morning O -100
go O -100
great O -100
with O -100
all O -100
of O -100
their O -100
brunch O -100
items O -100
: O -100
from O -100
the O -100
Simple O -100
Salad B-ASP -100
, O -100
to O -100
the O -100
Bordeaux B-ASP -100
Scramble I-ASP -100
and O -100
beyond O -100
. O -100
My O -100
husband O -100
goes O -100
crazy O -100
for O -100
the O -100
Croque B-ASP -100
Madame I-ASP -100
he O -100
' O -100
s O -100
had O -100
it O -100
at O -100
other O -100
places O -100
in O -100
Vegas O -100
and O -100
even O -100
Paris O -100
, O -100
and O -100
still O -100
feels O -100
they O -100
couldn O -100
' O -100
t O -100
touch O -100
the O -100
one O -100
served O -100
here O -100
! O -100
All O -100
of O -100
their O -100
salads O -100
, O -100
les O -100
frites O -100
, O -100
les O -100
moules O -100
au O -100
pistou O -100
, O -100
le O -100
saumon O -100
, O -100
I O -100
could O -100
go O -100
on O -100
and O -100
on O -100
. O -100
I O -100
' O -100
ve O -100
never O -100
been O -100
disappointed O -100
here O -100
everything B-ASP -100
is O -100
absolutely O -100
delicious O -100
. O -100
Their O -100
daily B-ASP -100
specials I-ASP -100
are O -100
always O -100
a O -100
delight O -100
as O -100
well O -100
! O -100
Don O -100
' O -100
t O -100
forget O -100
to O -100
try O -100
one O -100
of O -100
their O -100
cocktails B-ASP Positive
or O -100
have O -100
a O -100
glass O -100
of O -100
wine B-ASP -100
off O -100
of O -100
their O -100
great O -100
list O -100
. O -100
Bon O -100
appetit O -100
! O -100

I O -100
absolutely O -100
love O -100
this O -100
restaurant O -100
. O -100
I O -100
' O -100
ve O -100
been O -100
coming O -100
to O -100
Brasserie O -100
for O -100
a O -100
few O -100
years O -100
now O -100
, O -100
and O -100
have O -100
had O -100
the O -100
chance O -100
to O -100
visit O -100
for O -100
brunch O -100
, O -100
lunch O -100
and O -100
dinner O -100
( O -100
and O -100
have O -100
enjoyed O -100
several O -100
of O -100
their O -100
desserts O -100
as O -100
well O -100
! O -100
) O -100
. O -100
When O -100
my O -100
family O -100
visit O -100
, O -100
especially O -100
if O -100
it O -100
' O -100
s O -100
for O -100
a O -100
special O -100
occasion O -100
, O -100
this O -100
is O -100
our O -100
go O -100
to O -100
place O -100
to O -100
celebrate O -100
. O -100
Their O -100
bloody B-ASP -100
mary I-ASP -100
' O -100
s O -100
in O -100
the O -100
morning O -100
go O -100
great O -100
with O -100
all O -100
of O -100
their O -100
brunch O -100
items O -100
: O -100
from O -100
the O -100
Simple O -100
Salad B-ASP -100
, O -100
to O -100
the O -100
Bordeaux B-ASP -100
Scramble I-ASP -100
and O -100
beyond O -100
. O -100
My O -100
husband O -100
goes O -100
crazy O -100
for O -100
the O -100
Croque B-ASP -100
Madame I-ASP -100
he O -100
' O -100
s O -100
had O -100
it O -100
at O -100
other O -100
places O -100
in O -100
Vegas O -100
and O -100
even O -100
Paris O -100
, O -100
and O -100
still O -100
feels O -100
they O -100
couldn O -100
' O -100
t O -100
touch O -100
the O -100
one O -100
served O -100
here O -100
! O -100
All O -100
of O -100
their O -100
salads O -100
, O -100
les O -100
frites O -100
, O -100
les O -100
moules O -100
au O -100
pistou O -100
, O -100
le O -100
saumon O -100
, O -100
I O -100
could O -100
go O -100
on O -100
and O -100
on O -100
. O -100
I O -100
' O -100
ve O -100
never O -100
been O -100
disappointed O -100
here O -100
everything B-ASP -100
is O -100
absolutely O -100
delicious O -100
. O -100
Their O -100
daily B-ASP -100
specials I-ASP -100
are O -100
always O -100
a O -100
delight O -100
as O -100
well O -100
! O -100
Don O -100
' O -100
t O -100
forget O -100
to O -100
try O -100
one O -100
of O -100
their O -100
cocktails B-ASP -100
or O -100
have O -100
a O -100
glass O -100
of O -100
wine B-ASP Positive
off O -100
of O -100
their O -100
great O -100
list O -100
. O -100
Bon O -100
appetit O -100
! O -100

LOVE O -100
THIS O -100
PLACE O -100
! O -100
! O -100
A O -100
true O -100
Foodie O -100
Favorite O -100
! O -100
! O -100
! O -100
! O -100
Always O -100
creative O -100
, O -100
always O -100
consistent O -100
! O -100
Great O -100
food B-ASP Positive
indeed O -100
! O -100
! O -100
The O -100
only O -100
reason O -100
I O -100
gave O -100
it O -100
4 O -100
stars O -100
and O -100
not O -100
5 O -100
is O -100
because O -100
of O -100
the O -100
servers B-ASP -100
. O -100
Some O -100
servers O -100
are O -100
very O -100
knowledgable O -100
and O -100
helpful O -100
about O -100
the O -100
ever O -100
changing O -100
menu O -100
items O -100
, O -100
while O -100
others B-ASP -100
are O -100
lacking O -100
and O -100
not O -100
service O -100
oriented O -100
. O -100
I O -100
know O -100
good O -100
help O -100
is O -100
hard O -100
to O -100
find O -100
, O -100
but O -100
this O -100
is O -100
something O -100
they O -100
can O -100
work O -100
on O -100
to O -100
help O -100
with O -100
the O -100
dining O -100
experience O -100
. O -100
Despite O -100
that O -100
minor O -100
tweak O -100
, O -100
LOVE O -100
this O -100
place O -100
! O -100
! O -100
! O -100
! O -100

LOVE O -100
THIS O -100
PLACE O -100
! O -100
! O -100
A O -100
true O -100
Foodie O -100
Favorite O -100
! O -100
! O -100
! O -100
! O -100
Always O -100
creative O -100
, O -100
always O -100
consistent O -100
! O -100
Great O -100
food B-ASP -100
indeed O -100
! O -100
! O -100
The O -100
only O -100
reason O -100
I O -100
gave O -100
it O -100
4 O -100
stars O -100
and O -100
not O -100
5 O -100
is O -100
because O -100
of O -100
the O -100
servers B-ASP Negative
. O -100
Some O -100
servers O -100
are O -100
very O -100
knowledgable O -100
and O -100
helpful O -100
about O -100
the O -100
ever O -100
changing O -100
menu O -100
items O -100
, O -100
while O -100
others B-ASP -100
are O -100
lacking O -100
and O -100
not O -100
service O -100
oriented O -100
. O -100
I O -100
know O -100
good O -100
help O -100
is O -100
hard O -100
to O -100
find O -100
, O -100
but O -100
this O -100
is O -100
something O -100
they O -100
can O -100
work O -100
on O -100
to O -100
help O -100
with O -100
the O -100
dining O -100
experience O -100
. O -100
Despite O -100
that O -100
minor O -100
tweak O -100
, O -100
LOVE O -100
this O -100
place O -100
! O -100
! O -100
! O -100
! O -100

LOVE O -100
THIS O -100
PLACE O -100
! O -100
! O -100
A O -100
true O -100
Foodie O -100
Favorite O -100
! O -100
! O -100
! O -100
! O -100
Always O -100
creative O -100
, O -100
always O -100
consistent O -100
! O -100
Great O -100
food B-ASP -100
indeed O -100
! O -100
! O -100
The O -100
only O -100
reason O -100
I O -100
gave O -100
it O -100
4 O -100
stars O -100
and O -100
not O -100
5 O -100
is O -100
because O -100
of O -100
the O -100
servers B-ASP -100
. O -100
Some O -100
servers O -100
are O -100
very O -100
knowledgable O -100
and O -100
helpful O -100
about O -100
the O -100
ever O -100
changing O -100
menu O -100
items O -100
, O -100
while O -100
others B-ASP Negative
are O -100
lacking O -100
and O -100
not O -100
service O -100
oriented O -100
. O -100
I O -100
know O -100
good O -100
help O -100
is O -100
hard O -100
to O -100
find O -100
, O -100
but O -100
this O -100
is O -100
something O -100
they O -100
can O -100
work O -100
on O -100
to O -100
help O -100
with O -100
the O -100
dining O -100
experience O -100
. O -100
Despite O -100
that O -100
minor O -100
tweak O -100
, O -100
LOVE O -100
this O -100
place O -100
! O -100
! O -100
! O -100
! O -100

This O -100
place O -100
is O -100
great O -100
! O -100
A O -100
very O -100
basic O -100
menu O -100
, O -100
which O -100
makes O -100
sense O -100
considering O -100
they O -100
started O -100
out O -100
as O -100
a O -100
good O -100
truck O -100
. O -100
I O -100
got O -100
the O -100
veggie O -100
burger O -100
because O -100
the O -100
description O -100
sounded O -100
unique O -100
and O -100
it O -100
did O -100
not O -100
disappoint O -100
! O -100
The O -100
fries B-ASP Positive
were O -100
hot O -100
, O -100
salty O -100
and O -100
delicious O -100
, O -100
and O -100
I O -100
enjoyed O -100
dipping O -100
them O -100
in O -100
the O -100
ketchup O -100
, O -100
which O -100
almost O -100
tasted O -100
like O -100
it O -100
had O -100
some O -100
BBQ O -100
sauce O -100
mixed O -100
into O -100
it O -100
! O -100
I O -100
was O -100
tempted O -100
by O -100
the O -100
milkshake O -100
menu O -100
, O -100
but O -100
saved O -100
my O -100
dessert O -100
splurge O -100
for O -100
another O -100
place O -100
. O -100
Super O -100
easy O -100
to O -100
just O -100
sit O -100
at O -100
the O -100
counter O -100
and O -100
get O -100
served O -100
, O -100
even O -100
on O -100
a O -100
crazy O -100
Saturday O -100
night O -100
in O -100
summer O -100
when O -100
Ponce O -100
City O -100
Market O -100
was O -100
packed O -100
. O -100

We O -100
were O -100
so O -100
pleased O -100
with O -100
everything O -100
here O -100
. O -100
The O -100
reception B-ASP Positive
was O -100
pleasant O -100
, O -100
and O -100
the O -100
drink B-ASP -100
list I-ASP -100
was O -100
appealing O -100
. O -100
Most O -100
importantly O -100
, O -100
the O -100
menu B-ASP -100
was O -100
appetizing O -100
and O -100
everything O -100
we O -100
got O -100
exceeded O -100
our O -100
expectations O -100
. O -100
The O -100
gouda O -100
appetizer O -100
was O -100
a O -100
revelation O -100
. O -100
The O -100
beef B-ASP -100
skewers I-ASP -100
appetizer O -100
and O -100
the O -100
lamb B-ASP -100
picadillo I-ASP -100
were O -100
both O -100
amazing O -100
! O -100
We O -100
can O -100
' O -100
t O -100
wait O -100
to O -100
come O -100
back O -100
. O -100
The O -100
service B-ASP -100
was O -100
incredibly O -100
pleasant O -100
. O -100
If O -100
we O -100
hadn O -100
' O -100
t O -100
been O -100
so O -100
full O -100
, O -100
we O -100
would O -100
have O -100
tried O -100
the O -100
dessert O -100
. O -100
I O -100
think O -100
this O -100
place O -100
was O -100
a O -100
winner O -100
, O -100
can O -100
' O -100
t O -100
understand O -100
why O -100
it O -100
wasn O -100
' O -100
t O -100
more O -100
crowded O -100
. O -100

We O -100
were O -100
so O -100
pleased O -100
with O -100
everything O -100
here O -100
. O -100
The O -100
reception B-ASP -100
was O -100
pleasant O -100
, O -100
and O -100
the O -100
drink B-ASP Positive
list I-ASP Positive
was O -100
appealing O -100
. O -100
Most O -100
importantly O -100
, O -100
the O -100
menu B-ASP -100
was O -100
appetizing O -100
and O -100
everything O -100
we O -100
got O -100
exceeded O -100
our O -100
expectations O -100
. O -100
The O -100
gouda O -100
appetizer O -100
was O -100
a O -100
revelation O -100
. O -100
The O -100
beef B-ASP -100
skewers I-ASP -100
appetizer O -100
and O -100
the O -100
lamb B-ASP -100
picadillo I-ASP -100
were O -100
both O -100
amazing O -100
! O -100
We O -100
can O -100
' O -100
t O -100
wait O -100
to O -100
come O -100
back O -100
. O -100
The O -100
service B-ASP -100
was O -100
incredibly O -100
pleasant O -100
. O -100
If O -100
we O -100
hadn O -100
' O -100
t O -100
been O -100
so O -100
full O -100
, O -100
we O -100
would O -100
have O -100
tried O -100
the O -100
dessert O -100
. O -100
I O -100
think O -100
this O -100
place O -100
was O -100
a O -100
winner O -100
, O -100
can O -100
' O -100
t O -100
understand O -100
why O -100
it O -100
wasn O -100
' O -100
t O -100
more O -100
crowded O -100
. O -100

We O -100
were O -100
so O -100
pleased O -100
with O -100
everything O -100
here O -100
. O -100
The O -100
reception B-ASP -100
was O -100
pleasant O -100
, O -100
and O -100
the O -100
drink B-ASP -100
list I-ASP -100
was O -100
appealing O -100
. O -100
Most O -100
importantly O -100
, O -100
the O -100
menu B-ASP Positive
was O -100
appetizing O -100
and O -100
everything O -100
we O -100
got O -100
exceeded O -100
our O -100
expectations O -100
. O -100
The O -100
gouda O -100
appetizer O -100
was O -100
a O -100
revelation O -100
. O -100
The O -100
beef B-ASP -100
skewers I-ASP -100
appetizer O -100
and O -100
the O -100
lamb B-ASP -100
picadillo I-ASP -100
were O -100
both O -100
amazing O -100
! O -100
We O -100
can O -100
' O -100
t O -100
wait O -100
to O -100
come O -100
back O -100
. O -100
The O -100
service B-ASP -100
was O -100
incredibly O -100
pleasant O -100
. O -100
If O -100
we O -100
hadn O -100
' O -100
t O -100
been O -100
so O -100
full O -100
, O -100
we O -100
would O -100
have O -100
tried O -100
the O -100
dessert O -100
. O -100
I O -100
think O -100
this O -100
place O -100
was O -100
a O -100
winner O -100
, O -100
can O -100
' O -100
t O -100
understand O -100
why O -100
it O -100
wasn O -100
' O -100
t O -100
more O -100
crowded O -100
. O -100

We O -100
were O -100
so O -100
pleased O -100
with O -100
everything O -100
here O -100
. O -100
The O -100
reception B-ASP -100
was O -100
pleasant O -100
, O -100
and O -100
the O -100
drink B-ASP -100
list I-ASP -100
was O -100
appealing O -100
. O -100
Most O -100
importantly O -100
, O -100
the O -100
menu B-ASP -100
was O -100
appetizing O -100
and O -100
everything O -100
we O -100
got O -100
exceeded O -100
our O -100
expectations O -100
. O -100
The O -100
gouda O -100
appetizer O -100
was O -100
a O -100
revelation O -100
. O -100
The O -100
beef B-ASP Positive
skewers I-ASP Positive
appetizer O -100
and O -100
the O -100
lamb B-ASP -100
picadillo I-ASP -100
were O -100
both O -100
amazing O -100
! O -100
We O -100
can O -100
' O -100
t O -100
wait O -100
to O -100
come O -100
back O -100
. O -100
The O -100
service B-ASP -100
was O -100
incredibly O -100
pleasant O -100
. O -100
If O -100
we O -100
hadn O -100
' O -100
t O -100
been O -100
so O -100
full O -100
, O -100
we O -100
would O -100
have O -100
tried O -100
the O -100
dessert O -100
. O -100
I O -100
think O -100
this O -100
place O -100
was O -100
a O -100
winner O -100
, O -100
can O -100
' O -100
t O -100
understand O -100
why O -100
it O -100
wasn O -100
' O -100
t O -100
more O -100
crowded O -100
. O -100

We O -100
were O -100
so O -100
pleased O -100
with O -100
everything O -100
here O -100
. O -100
The O -100
reception B-ASP -100
was O -100
pleasant O -100
, O -100
and O -100
the O -100
drink B-ASP -100
list I-ASP -100
was O -100
appealing O -100
. O -100
Most O -100
importantly O -100
, O -100
the O -100
menu B-ASP -100
was O -100
appetizing O -100
and O -100
everything O -100
we O -100
got O -100
exceeded O -100
our O -100
expectations O -100
. O -100
The O -100
gouda O -100
appetizer O -100
was O -100
a O -100
revelation O -100
. O -100
The O -100
beef B-ASP -100
skewers I-ASP -100
appetizer O -100
and O -100
the O -100
lamb B-ASP Positive
picadillo I-ASP Positive
were O -100
both O -100
amazing O -100
! O -100
We O -100
can O -100
' O -100
t O -100
wait O -100
to O -100
come O -100
back O -100
. O -100
The O -100
service B-ASP -100
was O -100
incredibly O -100
pleasant O -100
. O -100
If O -100
we O -100
hadn O -100
' O -100
t O -100
been O -100
so O -100
full O -100
, O -100
we O -100
would O -100
have O -100
tried O -100
the O -100
dessert O -100
. O -100
I O -100
think O -100
this O -100
place O -100
was O -100
a O -100
winner O -100
, O -100
can O -100
' O -100
t O -100
understand O -100
why O -100
it O -100
wasn O -100
' O -100
t O -100
more O -100
crowded O -100
. O -100

We O -100
were O -100
so O -100
pleased O -100
with O -100
everything O -100
here O -100
. O -100
The O -100
reception B-ASP -100
was O -100
pleasant O -100
, O -100
and O -100
the O -100
drink B-ASP -100
list I-ASP -100
was O -100
appealing O -100
. O -100
Most O -100
importantly O -100
, O -100
the O -100
menu B-ASP -100
was O -100
appetizing O -100
and O -100
everything O -100
we O -100
got O -100
exceeded O -100
our O -100
expectations O -100
. O -100
The O -100
gouda O -100
appetizer O -100
was O -100
a O -100
revelation O -100
. O -100
The O -100
beef B-ASP -100
skewers I-ASP -100
appetizer O -100
and O -100
the O -100
lamb B-ASP -100
picadillo I-ASP -100
were O -100
both O -100
amazing O -100
! O -100
We O -100
can O -100
' O -100
t O -100
wait O -100
to O -100
come O -100
back O -100
. O -100
The O -100
service B-ASP Positive
was O -100
incredibly O -100
pleasant O -100
. O -100
If O -100
we O -100
hadn O -100
' O -100
t O -100
been O -100
so O -100
full O -100
, O -100
we O -100
would O -100
have O -100
tried O -100
the O -100
dessert O -100
. O -100
I O -100
think O -100
this O -100
place O -100
was O -100
a O -100
winner O -100
, O -100
can O -100
' O -100
t O -100
understand O -100
why O -100
it O -100
wasn O -100
' O -100
t O -100
more O -100
crowded O -100
. O -100

As O -100
many O -100
people O -100
before O -100
have O -100
said O -100
I O -100
shall O -100
too O -100
say O -100
these O -100
are O -100
some O -100
of O -100
the O -100
best O -100
Persian O -100
kabobs O -100
you O -100
can O -100
get O -100
in O -100
the O -100
city O -100
! O -100
Truly O -100
juicy O -100
koobideh B-ASP Positive
. O -100
The O -100
owner O -100
is O -100
so O -100
humble O -100
and O -100
says O -100
" O -100
oh O -100
I O -100
just O -100
thought O -100
I O -100
would O -100
try O -100
cooking O -100
for O -100
more O -100
than O -100
my O -100
family O -100
" O -100
but O -100
I O -100
can O -100
' O -100
t O -100
imagine O -100
him O -100
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having O -100
thought O -100
that O -100
because O -100
where O -100
would O -100
we O -100
downtown O -100
Portlander O -100
' O -100
s O -100
be O -100
without O -100
his O -100
delicious O -100
Persian O -100
food O -100
? O -100
! O -100
? O -100
! O -100
He O -100
gives O -100
you O -100
healthy O -100
portion O -100
, O -100
accepts O -100
credit O -100
cards O -100
or O -100
cash O -100
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conveniently O -100
stays O -100
open O -100
until O -100
4 O -100
o O -100
' O -100
clock O -100
which O -100
is O -100
later O -100
than O -100
a O -100
lot O -100
of O -100
the O -100
other O -100
food O -100
carts O -100
in O -100
the O -100
area O -100
. O -100
It O -100
' O -100
s O -100
quickly O -100
become O -100
such O -100
a O -100
downtown O -100
staple O -100
. O -100
Plus O -100
the O -100
owner B-ASP -100
is O -100
so O -100
adorable O -100
and O -100
lovable O -100
that O -100
he O -100
was O -100
even O -100
featured O -100
in O -100
a O -100
local O -100
commercial O -100
, O -100
that O -100
' O -100
s O -100
pretty O -100
cool O -100
. O -100

As O -100
many O -100
people O -100
before O -100
have O -100
said O -100
I O -100
shall O -100
too O -100
say O -100
these O -100
are O -100
some O -100
of O -100
the O -100
best O -100
Persian O -100
kabobs O -100
you O -100
can O -100
get O -100
in O -100
the O -100
city O -100
! O -100
Truly O -100
juicy O -100
koobideh B-ASP -100
. O -100
The O -100
owner O -100
is O -100
so O -100
humble O -100
and O -100
says O -100
" O -100
oh O -100
I O -100
just O -100
thought O -100
I O -100
would O -100
try O -100
cooking O -100
for O -100
more O -100
than O -100
my O -100
family O -100
" O -100
but O -100
I O -100
can O -100
' O -100
t O -100
imagine O -100
him O -100
not O -100
having O -100
thought O -100
that O -100
because O -100
where O -100
would O -100
we O -100
downtown O -100
Portlander O -100
' O -100
s O -100
be O -100
without O -100
his O -100
delicious O -100
Persian O -100
food O -100
? O -100
! O -100
? O -100
! O -100
He O -100
gives O -100
you O -100
healthy O -100
portion O -100
, O -100
accepts O -100
credit O -100
cards O -100
or O -100
cash O -100
and O -100
conveniently O -100
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open O -100
until O -100
4 O -100
o O -100
' O -100
clock O -100
which O -100
is O -100
later O -100
than O -100
a O -100
lot O -100
of O -100
the O -100
other O -100
food O -100
carts O -100
in O -100
the O -100
area O -100
. O -100
It O -100
' O -100
s O -100
quickly O -100
become O -100
such O -100
a O -100
downtown O -100
staple O -100
. O -100
Plus O -100
the O -100
owner B-ASP Positive
is O -100
so O -100
adorable O -100
and O -100
lovable O -100
that O -100
he O -100
was O -100
even O -100
featured O -100
in O -100
a O -100
local O -100
commercial O -100
, O -100
that O -100
' O -100
s O -100
pretty O -100
cool O -100
. O -100

I O -100
' O -100
ve O -100
been O -100
in O -100
Austin O -100
for O -100
two O -100
years O -100
and O -100
at O -100
some O -100
point O -100
I O -100
met O -100
total O -100
despair O -100
that O -100
I O -100
' O -100
d O -100
never O -100
find O -100
a O -100
bar O -100
that O -100
comes O -100
close O -100
to O -100
bars O -100
is O -100
Beirut O -100
. O -100
I O -100
wanted O -100
a O -100
place O -100
that O -100
played O -100
good O -100
music O -100
not O -100
so O -100
loud O -100
that O -100
your O -100
head O -100
hurt O -100
and O -100
your O -100
vocal O -100
cords O -100
strained O -100
an O -100
outdoor O -100
seating O -100
area O -100
, O -100
and O -100
obviously O -100
well O -100
priced O -100
, O -100
generous O -100
drinks B-ASP Positive
. O -100
After O -100
I O -100
went O -100
to O -100
Mohawk O -100
the O -100
first O -100
time O -100
a O -100
few O -100
weeks O -100
back O -100
( O -100
to O -100
watch O -100
Yann O -100
Tiersen O -100
play O -100
! O -100
) O -100
I O -100
haven O -100
' O -100
t O -100
stopped O -100
raving O -100
about O -100
the O -100
place O -100
. O -100
It O -100
' O -100
s O -100
my O -100
new O -100
favorite O -100
bar B-ASP -100
in O -100
Austin O -100
and O -100
it O -100
definitely O -100
exceeded O -100
my O -100
expectations O -100
. O -100
There O -100
' O -100
re O -100
three O -100
decks O -100
outside O -100
, O -100
equipped O -100
with O -100
an O -100
outdoor O -100
bar O -100
to O -100
keep O -100
traffic O -100
from O -100
building O -100
up O -100
at O -100
the O -100
indoor O -100
bar O -100
, O -100
which O -100
is O -100
brilliant O -100
for O -100
show O -100
nights O -100
when O -100
it O -100
gets O -100
crowded O -100
. O -100
I O -100
definitely O -100
plan O -100
to O -100
make O -100
regular O -100
visits O -100
down O -100
there O -100
now O -100
that O -100
summer O -100
vacation O -100
' O -100
s O -100
begun O -100
! O -100

I O -100
' O -100
ve O -100
been O -100
in O -100
Austin O -100
for O -100
two O -100
years O -100
and O -100
at O -100
some O -100
point O -100
I O -100
met O -100
total O -100
despair O -100
that O -100
I O -100
' O -100
d O -100
never O -100
find O -100
a O -100
bar O -100
that O -100
comes O -100
close O -100
to O -100
bars O -100
is O -100
Beirut O -100
. O -100
I O -100
wanted O -100
a O -100
place O -100
that O -100
played O -100
good O -100
music O -100
not O -100
so O -100
loud O -100
that O -100
your O -100
head O -100
hurt O -100
and O -100
your O -100
vocal O -100
cords O -100
strained O -100
an O -100
outdoor O -100
seating O -100
area O -100
, O -100
and O -100
obviously O -100
well O -100
priced O -100
, O -100
generous O -100
drinks B-ASP -100
. O -100
After O -100
I O -100
went O -100
to O -100
Mohawk O -100
the O -100
first O -100
time O -100
a O -100
few O -100
weeks O -100
back O -100
( O -100
to O -100
watch O -100
Yann O -100
Tiersen O -100
play O -100
! O -100
) O -100
I O -100
haven O -100
' O -100
t O -100
stopped O -100
raving O -100
about O -100
the O -100
place O -100
. O -100
It O -100
' O -100
s O -100
my O -100
new O -100
favorite O -100
bar B-ASP Positive
in O -100
Austin O -100
and O -100
it O -100
definitely O -100
exceeded O -100
my O -100
expectations O -100
. O -100
There O -100
' O -100
re O -100
three O -100
decks O -100
outside O -100
, O -100
equipped O -100
with O -100
an O -100
outdoor O -100
bar O -100
to O -100
keep O -100
traffic O -100
from O -100
building O -100
up O -100
at O -100
the O -100
indoor O -100
bar O -100
, O -100
which O -100
is O -100
brilliant O -100
for O -100
show O -100
nights O -100
when O -100
it O -100
gets O -100
crowded O -100
. O -100
I O -100
definitely O -100
plan O -100
to O -100
make O -100
regular O -100
visits O -100
down O -100
there O -100
now O -100
that O -100
summer O -100
vacation O -100
' O -100
s O -100
begun O -100
! O -100

Simple O -100
menu O -100
, O -100
reasonable O -100
prices B-ASP Neutral
. O -100
Delicious O -100
bacon B-ASP -100
, O -100
and O -100
the O -100
banana B-ASP -100
pancakes I-ASP -100
are O -100
awesome O -100
too O -100
. O -100
It O -100
' O -100
s O -100
a O -100
great O -100
go O -100
to O -100
breakfast O -100
/ O -100
brunch O -100
joint O -100
with O -100
the O -100
kind O -100
of O -100
atmosphere B-ASP -100
you O -100
appreciate O -100
on O -100
a O -100
very O -100
lazy O -100
Sunday O -100
morning O -100
. O -100
Simple O -100
, O -100
straight O -100
forward O -100
breakfast O -100
option O -100
for O -100
anyone O -100
who O -100
lives O -100
in O -100
the O -100
area O -100
. O -100
I O -100
' O -100
ll O -100
be O -100
back O -100
. O -100

Simple O -100
menu O -100
, O -100
reasonable O -100
prices B-ASP -100
. O -100
Delicious O -100
bacon B-ASP Positive
, O -100
and O -100
the O -100
banana B-ASP -100
pancakes I-ASP -100
are O -100
awesome O -100
too O -100
. O -100
It O -100
' O -100
s O -100
a O -100
great O -100
go O -100
to O -100
breakfast O -100
/ O -100
brunch O -100
joint O -100
with O -100
the O -100
kind O -100
of O -100
atmosphere B-ASP -100
you O -100
appreciate O -100
on O -100
a O -100
very O -100
lazy O -100
Sunday O -100
morning O -100
. O -100
Simple O -100
, O -100
straight O -100
forward O -100
breakfast O -100
option O -100
for O -100
anyone O -100
who O -100
lives O -100
in O -100
the O -100
area O -100
. O -100
I O -100
' O -100
ll O -100
be O -100
back O -100
. O -100

Simple O -100
menu O -100
, O -100
reasonable O -100
prices B-ASP -100
. O -100
Delicious O -100
bacon B-ASP -100
, O -100
and O -100
the O -100
banana B-ASP Positive
pancakes I-ASP Positive
are O -100
awesome O -100
too O -100
. O -100
It O -100
' O -100
s O -100
a O -100
great O -100
go O -100
to O -100
breakfast O -100
/ O -100
brunch O -100
joint O -100
with O -100
the O -100
kind O -100
of O -100
atmosphere B-ASP -100
you O -100
appreciate O -100
on O -100
a O -100
very O -100
lazy O -100
Sunday O -100
morning O -100
. O -100
Simple O -100
, O -100
straight O -100
forward O -100
breakfast O -100
option O -100
for O -100
anyone O -100
who O -100
lives O -100
in O -100
the O -100
area O -100
. O -100
I O -100
' O -100
ll O -100
be O -100
back O -100
. O -100

Simple O -100
menu O -100
, O -100
reasonable O -100
prices B-ASP -100
. O -100
Delicious O -100
bacon B-ASP -100
, O -100
and O -100
the O -100
banana B-ASP -100
pancakes I-ASP -100
are O -100
awesome O -100
too O -100
. O -100
It O -100
' O -100
s O -100
a O -100
great O -100
go O -100
to O -100
breakfast O -100
/ O -100
brunch O -100
joint O -100
with O -100
the O -100
kind O -100
of O -100
atmosphere B-ASP Positive
you O -100
appreciate O -100
on O -100
a O -100
very O -100
lazy O -100
Sunday O -100
morning O -100
. O -100
Simple O -100
, O -100
straight O -100
forward O -100
breakfast O -100
option O -100
for O -100
anyone O -100
who O -100
lives O -100
in O -100
the O -100
area O -100
. O -100
I O -100
' O -100
ll O -100
be O -100
back O -100
. O -100

Overall O -100
I O -100
had O -100
a O -100
good O -100
experience O -100
at O -100
Empire O -100
. O -100
I O -100
came O -100
here O -100
on O -100
a O -100
Wednesday O -100
for O -100
a O -100
drink O -100
with O -100
some O -100
friends O -100
. O -100
The O -100
hostess O -100
and O -100
server O -100
were O -100
both O -100
quite O -100
nice O -100
and O -100
service B-ASP Neutral
overall O -100
was O -100
spot O -100
on O -100
( O -100
checked O -100
in O -100
on O -100
just O -100
often O -100
enough O -100
) O -100
. O -100
The O -100
drinks B-ASP -100
were O -100
creative O -100
and O -100
got O -100
some O -100
good O -100
reviews O -100
and O -100
my O -100
scotch O -100
was O -100
neat O -100
! O -100

Overall O -100
I O -100
had O -100
a O -100
good O -100
experience O -100
at O -100
Empire O -100
. O -100
I O -100
came O -100
here O -100
on O -100
a O -100
Wednesday O -100
for O -100
a O -100
drink O -100
with O -100
some O -100
friends O -100
. O -100
The O -100
hostess O -100
and O -100
server O -100
were O -100
both O -100
quite O -100
nice O -100
and O -100
service B-ASP -100
overall O -100
was O -100
spot O -100
on O -100
( O -100
checked O -100
in O -100
on O -100
just O -100
often O -100
enough O -100
) O -100
. O -100
The O -100
drinks B-ASP Positive
were O -100
creative O -100
and O -100
got O -100
some O -100
good O -100
reviews O -100
and O -100
my O -100
scotch O -100
was O -100
neat O -100
! O -100

It O -100
was O -100
the O -100
end O -100
of O -100
a O -100
long O -100
week O -100
, O -100
and O -100
I O -100
had O -100
promised O -100
my O -100
neglected O -100
boyfriend O -100
we O -100
would O -100
spend O -100
some O -100
quality O -100
time O -100
together O -100
. O -100
Our O -100
destination O -100
of O -100
choice O -100
? O -100
Ma O -100
Soba O -100
, O -100
a O -100
pan O -100
Asian O -100
and O -100
sushi O -100
restaurant O -100
in O -100
Beacon O -100
Hill O -100
. O -100
Opened O -100
in O -100
1999 O -100
, O -100
the O -100
restaurant O -100
has O -100
an O -100
impressive O -100
array O -100
of O -100
awards O -100
. O -100
Needless O -100
to O -100
say O -100
, O -100
we O -100
were O -100
pretty O -100
excited O -100
to O -100
try O -100
it O -100
out O -100
. O -100
We O -100
were O -100
greeted O -100
at O -100
the O -100
door O -100
by O -100
a O -100
friendly O -100
face O -100
, O -100
but O -100
his O -100
was O -100
the O -100
last O -100
smile O -100
we O -100
would O -100
see O -100
that O -100
evening O -100
. O -100
Our O -100
server B-ASP Negative
ignored O -100
us O -100
for O -100
several O -100
minutes O -100
after O -100
stopping O -100
by O -100
just O -100
long O -100
enough O -100
to O -100
fill O -100
our O -100
water O -100
glasses O -100
, O -100
and O -100
when O -100
she O -100
did O -100
return O -100
, O -100
only O -100
wanted O -100
to O -100
know O -100
if O -100
we O -100
had O -100
" O -100
decided O -100
what O -100
we O -100
wanted O -100
" O -100
. O -100
She O -100
took O -100
our O -100
order O -100
and O -100
left O -100
. O -100
Not O -100
that O -100
she O -100
didn O -100
' O -100
t O -100
do O -100
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job O -100
well O -100
; O -100
she O -100
was O -100
tremendously O -100
efficient O -100
. O -100
Our O -100
water O -100
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, O -100
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she O -100
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the O -100
courses O -100
perfectly O -100
. O -100
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a O -100
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a O -100
little O -100
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certainly O -100
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hit O -100
a O -100
home O -100
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our O -100
appetizers O -100
. O -100
My O -100
boyfriend O -100
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pork B-ASP -100
gyoza I-ASP -100
, O -100
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they O -100
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outside O -100
, O -100
warm O -100
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moist O -100
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inside O -100
. O -100
My O -100
miso B-ASP -100
soup I-ASP -100
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. O -100
For O -100
our O -100
main O -100
course O -100
, O -100
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split O -100
the O -100
Shogun O -100
Boat O -100
, O -100
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eight O -100
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Sushi O -100
, O -100
fifteen O -100
pieces O -100
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Sashimi O -100
, O -100
a O -100
Tuna O -100
Roll O -100
, O -100
a O -100
Caterpillar O -100
Roll O -100
and O -100
a O -100
California O -100
Roll O -100
. O -100
Now O -100
, O -100
we O -100
knew O -100
Ma O -100
Soba O -100
was O -100
not O -100
the O -100
top O -100
sushi O -100
restaurant O -100
in O -100
Boston O -100
. O -100
It O -100
' O -100
s O -100
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too O -100
pricey O -100
, O -100
so O -100
we O -100
knew O -100
not O -100
to O -100
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phenomenal O -100
sushi O -100
. O -100
With O -100
that O -100
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mind O -100
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very O -100
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We O -100
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. O -100
However O -100
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. O -100
We O -100
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the O -100
green O -100
tea O -100
mochi O -100
, O -100
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horrified O -100
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my O -100
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' O -100
s O -100
fork O -100
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" O -100
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" O -100
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as O -100
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cut O -100
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it O -100
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I O -100
attempted O -100
a O -100
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freezer O -100
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ice O -100
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that O -100
the O -100
restaurant O -100
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us O -100
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sub O -100
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We O -100
left O -100
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. O -100
The O -100
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, O -100
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. O -100
I O -100
doubt O -100
we O -100
' O -100
ll O -100
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. O -100

It O -100
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a O -100
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, O -100
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I O -100
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boyfriend O -100
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some O -100
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time O -100
together O -100
. O -100
Our O -100
destination O -100
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choice O -100
? O -100
Ma O -100
Soba O -100
, O -100
a O -100
pan O -100
Asian O -100
and O -100
sushi O -100
restaurant O -100
in O -100
Beacon O -100
Hill O -100
. O -100
Opened O -100
in O -100
1999 O -100
, O -100
the O -100
restaurant O -100
has O -100
an O -100
impressive O -100
array O -100
of O -100
awards O -100
. O -100
Needless O -100
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say O -100
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we O -100
were O -100
pretty O -100
excited O -100
to O -100
try O -100
it O -100
out O -100
. O -100
We O -100
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door O -100
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a O -100
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that O -100
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Our O -100
server B-ASP -100
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water O -100
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" O -100
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" O -100
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She O -100
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order O -100
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. O -100
Not O -100
that O -100
she O -100
didn O -100
' O -100
t O -100
do O -100
her O -100
job O -100
well O -100
; O -100
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. O -100
Our O -100
water O -100
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all O -100
night O -100
, O -100
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she O -100
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the O -100
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. O -100
But O -100
a O -100
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a O -100
little O -100
hospitality O -100
certainly O -100
would O -100
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made O -100
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feel O -100
a O -100
lot O -100
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. O -100
We O -100
hit O -100
a O -100
home O -100
run O -100
with O -100
our O -100
appetizers O -100
. O -100
My O -100
boyfriend O -100
ordered O -100
the O -100
pork B-ASP Positive
gyoza I-ASP Positive
, O -100
and O -100
they O -100
were O -100
crispy O -100
on O -100
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outside O -100
, O -100
warm O -100
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moist O -100
on O -100
the O -100
inside O -100
. O -100
My O -100
miso B-ASP -100
soup I-ASP -100
was O -100
excellent O -100
. O -100
For O -100
our O -100
main O -100
course O -100
, O -100
we O -100
split O -100
the O -100
Shogun O -100
Boat O -100
, O -100
which O -100
consisted O -100
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eight O -100
pieces O -100
of O -100
Sushi O -100
, O -100
fifteen O -100
pieces O -100
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Sashimi O -100
, O -100
a O -100
Tuna O -100
Roll O -100
, O -100
a O -100
Caterpillar O -100
Roll O -100
and O -100
a O -100
California O -100
Roll O -100
. O -100
Now O -100
, O -100
we O -100
knew O -100
Ma O -100
Soba O -100
was O -100
not O -100
the O -100
top O -100
sushi O -100
restaurant O -100
in O -100
Boston O -100
. O -100
It O -100
' O -100
s O -100
not O -100
too O -100
pricey O -100
, O -100
so O -100
we O -100
knew O -100
not O -100
to O -100
expect O -100
phenomenal O -100
sushi O -100
. O -100
With O -100
that O -100
in O -100
mind O -100
, O -100
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very O -100
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the O -100
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, O -100
the O -100
selection O -100
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We O -100
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quite O -100
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server O -100
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to O -100
crack O -100
a O -100
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. O -100
However O -100
, O -100
the O -100
biggest O -100
disappointment O -100
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to O -100
come O -100
. O -100
We O -100
ordered O -100
the O -100
green O -100
tea O -100
mochi O -100
, O -100
and O -100
we O -100
were O -100
horrified O -100
when O -100
my O -100
boyfriend O -100
' O -100
s O -100
fork O -100
made O -100
a O -100
resounding O -100
" O -100
clank O -100
" O -100
against O -100
it O -100
as O -100
he O -100
tried O -100
to O -100
cut O -100
into O -100
it O -100
. O -100
I O -100
attempted O -100
a O -100
bite O -100
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my O -100
piece O -100
, O -100
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after O -100
chunks O -100
of O -100
freezer O -100
burn O -100
ice O -100
fell O -100
into O -100
my O -100
mouth O -100
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my O -100
better O -100
judgment O -100
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send O -100
the O -100
mochi O -100
back O -100
. O -100
We O -100
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that O -100
the O -100
restaurant O -100
even O -100
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us O -100
such O -100
sub O -100
standard O -100
fare O -100
. O -100
We O -100
left O -100
disappointed O -100
. O -100
The O -100
sushi O -100
itself O -100
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expected O -100
, O -100
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, O -100
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awful O -100
dessert B-ASP -100
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lack O -100
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ambiance B-ASP -100
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restaurant O -100
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unsatisfied O -100
. O -100
I O -100
doubt O -100
we O -100
' O -100
ll O -100
go O -100
back O -100
. O -100

It O -100
was O -100
the O -100
end O -100
of O -100
a O -100
long O -100
week O -100
, O -100
and O -100
I O -100
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my O -100
neglected O -100
boyfriend O -100
we O -100
would O -100
spend O -100
some O -100
quality O -100
time O -100
together O -100
. O -100
Our O -100
destination O -100
of O -100
choice O -100
? O -100
Ma O -100
Soba O -100
, O -100
a O -100
pan O -100
Asian O -100
and O -100
sushi O -100
restaurant O -100
in O -100
Beacon O -100
Hill O -100
. O -100
Opened O -100
in O -100
1999 O -100
, O -100
the O -100
restaurant O -100
has O -100
an O -100
impressive O -100
array O -100
of O -100
awards O -100
. O -100
Needless O -100
to O -100
say O -100
, O -100
we O -100
were O -100
pretty O -100
excited O -100
to O -100
try O -100
it O -100
out O -100
. O -100
We O -100
were O -100
greeted O -100
at O -100
the O -100
door O -100
by O -100
a O -100
friendly O -100
face O -100
, O -100
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his O -100
was O -100
the O -100
last O -100
smile O -100
we O -100
would O -100
see O -100
that O -100
evening O -100
. O -100
Our O -100
server B-ASP -100
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several O -100
minutes O -100
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stopping O -100
by O -100
just O -100
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enough O -100
to O -100
fill O -100
our O -100
water O -100
glasses O -100
, O -100
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return O -100
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only O -100
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to O -100
know O -100
if O -100
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" O -100
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" O -100
. O -100
She O -100
took O -100
our O -100
order O -100
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left O -100
. O -100
Not O -100
that O -100
she O -100
didn O -100
' O -100
t O -100
do O -100
her O -100
job O -100
well O -100
; O -100
she O -100
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. O -100
Our O -100
water O -100
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were O -100
full O -100
all O -100
night O -100
, O -100
and O -100
she O -100
timed O -100
the O -100
courses O -100
perfectly O -100
. O -100
But O -100
a O -100
smile O -100
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a O -100
little O -100
hospitality O -100
certainly O -100
would O -100
have O -100
made O -100
us O -100
feel O -100
a O -100
lot O -100
more O -100
comfortable O -100
. O -100
We O -100
hit O -100
a O -100
home O -100
run O -100
with O -100
our O -100
appetizers O -100
. O -100
My O -100
boyfriend O -100
ordered O -100
the O -100
pork B-ASP -100
gyoza I-ASP -100
, O -100
and O -100
they O -100
were O -100
crispy O -100
on O -100
the O -100
outside O -100
, O -100
warm O -100
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moist O -100
on O -100
the O -100
inside O -100
. O -100
My O -100
miso B-ASP Positive
soup I-ASP Positive
was O -100
excellent O -100
. O -100
For O -100
our O -100
main O -100
course O -100
, O -100
we O -100
split O -100
the O -100
Shogun O -100
Boat O -100
, O -100
which O -100
consisted O -100
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eight O -100
pieces O -100
of O -100
Sushi O -100
, O -100
fifteen O -100
pieces O -100
of O -100
Sashimi O -100
, O -100
a O -100
Tuna O -100
Roll O -100
, O -100
a O -100
Caterpillar O -100
Roll O -100
and O -100
a O -100
California O -100
Roll O -100
. O -100
Now O -100
, O -100
we O -100
knew O -100
Ma O -100
Soba O -100
was O -100
not O -100
the O -100
top O -100
sushi O -100
restaurant O -100
in O -100
Boston O -100
. O -100
It O -100
' O -100
s O -100
not O -100
too O -100
pricey O -100
, O -100
so O -100
we O -100
knew O -100
not O -100
to O -100
expect O -100
phenomenal O -100
sushi O -100
. O -100
With O -100
that O -100
in O -100
mind O -100
, O -100
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were O -100
very O -100
pleased O -100
with O -100
the O -100
presentation O -100
, O -100
the O -100
selection O -100
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quality O -100
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We O -100
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quite O -100
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main O -100
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our O -100
server O -100
had O -100
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to O -100
crack O -100
a O -100
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. O -100
However O -100
, O -100
the O -100
biggest O -100
disappointment O -100
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yet O -100
to O -100
come O -100
. O -100
We O -100
ordered O -100
the O -100
green O -100
tea O -100
mochi O -100
, O -100
and O -100
we O -100
were O -100
horrified O -100
when O -100
my O -100
boyfriend O -100
' O -100
s O -100
fork O -100
made O -100
a O -100
resounding O -100
" O -100
clank O -100
" O -100
against O -100
it O -100
as O -100
he O -100
tried O -100
to O -100
cut O -100
into O -100
it O -100
. O -100
I O -100
attempted O -100
a O -100
bite O -100
of O -100
my O -100
piece O -100
, O -100
but O -100
after O -100
chunks O -100
of O -100
freezer O -100
burn O -100
ice O -100
fell O -100
into O -100
my O -100
mouth O -100
, O -100
decided O -100
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follow O -100
my O -100
better O -100
judgment O -100
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send O -100
the O -100
mochi O -100
back O -100
. O -100
We O -100
were O -100
disappointed O -100
that O -100
the O -100
restaurant O -100
even O -100
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us O -100
such O -100
sub O -100
standard O -100
fare O -100
. O -100
We O -100
left O -100
disappointed O -100
. O -100
The O -100
sushi O -100
itself O -100
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as O -100
expected O -100
, O -100
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the O -100
service B-ASP -100
, O -100
the O -100
awful O -100
dessert B-ASP -100
and O -100
the O -100
lack O -100
of O -100
ambiance B-ASP -100
in O -100
the O -100
restaurant O -100
ultimately O -100
left O -100
us O -100
unsatisfied O -100
. O -100
I O -100
doubt O -100
we O -100
' O -100
ll O -100
go O -100
back O -100
. O -100

It O -100
was O -100
the O -100
end O -100
of O -100
a O -100
long O -100
week O -100
, O -100
and O -100
I O -100
had O -100
promised O -100
my O -100
neglected O -100
boyfriend O -100
we O -100
would O -100
spend O -100
some O -100
quality O -100
time O -100
together O -100
. O -100
Our O -100
destination O -100
of O -100
choice O -100
? O -100
Ma O -100
Soba O -100
, O -100
a O -100
pan O -100
Asian O -100
and O -100
sushi O -100
restaurant O -100
in O -100
Beacon O -100
Hill O -100
. O -100
Opened O -100
in O -100
1999 O -100
, O -100
the O -100
restaurant O -100
has O -100
an O -100
impressive O -100
array O -100
of O -100
awards O -100
. O -100
Needless O -100
to O -100
say O -100
, O -100
we O -100
were O -100
pretty O -100
excited O -100
to O -100
try O -100
it O -100
out O -100
. O -100
We O -100
were O -100
greeted O -100
at O -100
the O -100
door O -100
by O -100
a O -100
friendly O -100
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, O -100
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last O -100
smile O -100
we O -100
would O -100
see O -100
that O -100
evening O -100
. O -100
Our O -100
server B-ASP -100
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several O -100
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stopping O -100
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to O -100
fill O -100
our O -100
water O -100
glasses O -100
, O -100
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she O -100
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return O -100
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only O -100
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to O -100
know O -100
if O -100
we O -100
had O -100
" O -100
decided O -100
what O -100
we O -100
wanted O -100
" O -100
. O -100
She O -100
took O -100
our O -100
order O -100
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left O -100
. O -100
Not O -100
that O -100
she O -100
didn O -100
' O -100
t O -100
do O -100
her O -100
job O -100
well O -100
; O -100
she O -100
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tremendously O -100
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. O -100
Our O -100
water O -100
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were O -100
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all O -100
night O -100
, O -100
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she O -100
timed O -100
the O -100
courses O -100
perfectly O -100
. O -100
But O -100
a O -100
smile O -100
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a O -100
little O -100
hospitality O -100
certainly O -100
would O -100
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made O -100
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a O -100
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. O -100
We O -100
hit O -100
a O -100
home O -100
run O -100
with O -100
our O -100
appetizers O -100
. O -100
My O -100
boyfriend O -100
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the O -100
pork B-ASP -100
gyoza I-ASP -100
, O -100
and O -100
they O -100
were O -100
crispy O -100
on O -100
the O -100
outside O -100
, O -100
warm O -100
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moist O -100
on O -100
the O -100
inside O -100
. O -100
My O -100
miso B-ASP -100
soup I-ASP -100
was O -100
excellent O -100
. O -100
For O -100
our O -100
main O -100
course O -100
, O -100
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split O -100
the O -100
Shogun O -100
Boat O -100
, O -100
which O -100
consisted O -100
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eight O -100
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of O -100
Sushi O -100
, O -100
fifteen O -100
pieces O -100
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Sashimi O -100
, O -100
a O -100
Tuna O -100
Roll O -100
, O -100
a O -100
Caterpillar O -100
Roll O -100
and O -100
a O -100
California O -100
Roll O -100
. O -100
Now O -100
, O -100
we O -100
knew O -100
Ma O -100
Soba O -100
was O -100
not O -100
the O -100
top O -100
sushi O -100
restaurant O -100
in O -100
Boston O -100
. O -100
It O -100
' O -100
s O -100
not O -100
too O -100
pricey O -100
, O -100
so O -100
we O -100
knew O -100
not O -100
to O -100
expect O -100
phenomenal O -100
sushi O -100
. O -100
With O -100
that O -100
in O -100
mind O -100
, O -100
we O -100
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very O -100
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, O -100
the O -100
selection O -100
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the O -100
quality O -100
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We O -100
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quite O -100
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main O -100
course O -100
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server O -100
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to O -100
crack O -100
a O -100
smile O -100
. O -100
However O -100
, O -100
the O -100
biggest O -100
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to O -100
come O -100
. O -100
We O -100
ordered O -100
the O -100
green O -100
tea O -100
mochi O -100
, O -100
and O -100
we O -100
were O -100
horrified O -100
when O -100
my O -100
boyfriend O -100
' O -100
s O -100
fork O -100
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a O -100
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" O -100
clank O -100
" O -100
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it O -100
as O -100
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tried O -100
to O -100
cut O -100
into O -100
it O -100
. O -100
I O -100
attempted O -100
a O -100
bite O -100
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my O -100
piece O -100
, O -100
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after O -100
chunks O -100
of O -100
freezer O -100
burn O -100
ice O -100
fell O -100
into O -100
my O -100
mouth O -100
, O -100
decided O -100
to O -100
follow O -100
my O -100
better O -100
judgment O -100
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send O -100
the O -100
mochi O -100
back O -100
. O -100
We O -100
were O -100
disappointed O -100
that O -100
the O -100
restaurant O -100
even O -100
served O -100
us O -100
such O -100
sub O -100
standard O -100
fare O -100
. O -100
We O -100
left O -100
disappointed O -100
. O -100
The O -100
sushi O -100
itself O -100
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expected O -100
, O -100
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the O -100
service B-ASP Negative
, O -100
the O -100
awful O -100
dessert B-ASP -100
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the O -100
lack O -100
of O -100
ambiance B-ASP -100
in O -100
the O -100
restaurant O -100
ultimately O -100
left O -100
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unsatisfied O -100
. O -100
I O -100
doubt O -100
we O -100
' O -100
ll O -100
go O -100
back O -100
. O -100

It O -100
was O -100
the O -100
end O -100
of O -100
a O -100
long O -100
week O -100
, O -100
and O -100
I O -100
had O -100
promised O -100
my O -100
neglected O -100
boyfriend O -100
we O -100
would O -100
spend O -100
some O -100
quality O -100
time O -100
together O -100
. O -100
Our O -100
destination O -100
of O -100
choice O -100
? O -100
Ma O -100
Soba O -100
, O -100
a O -100
pan O -100
Asian O -100
and O -100
sushi O -100
restaurant O -100
in O -100
Beacon O -100
Hill O -100
. O -100
Opened O -100
in O -100
1999 O -100
, O -100
the O -100
restaurant O -100
has O -100
an O -100
impressive O -100
array O -100
of O -100
awards O -100
. O -100
Needless O -100
to O -100
say O -100
, O -100
we O -100
were O -100
pretty O -100
excited O -100
to O -100
try O -100
it O -100
out O -100
. O -100
We O -100
were O -100
greeted O -100
at O -100
the O -100
door O -100
by O -100
a O -100
friendly O -100
face O -100
, O -100
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his O -100
was O -100
the O -100
last O -100
smile O -100
we O -100
would O -100
see O -100
that O -100
evening O -100
. O -100
Our O -100
server B-ASP -100
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us O -100
for O -100
several O -100
minutes O -100
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stopping O -100
by O -100
just O -100
long O -100
enough O -100
to O -100
fill O -100
our O -100
water O -100
glasses O -100
, O -100
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she O -100
did O -100
return O -100
, O -100
only O -100
wanted O -100
to O -100
know O -100
if O -100
we O -100
had O -100
" O -100
decided O -100
what O -100
we O -100
wanted O -100
" O -100
. O -100
She O -100
took O -100
our O -100
order O -100
and O -100
left O -100
. O -100
Not O -100
that O -100
she O -100
didn O -100
' O -100
t O -100
do O -100
her O -100
job O -100
well O -100
; O -100
she O -100
was O -100
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efficient O -100
. O -100
Our O -100
water O -100
glasses O -100
were O -100
full O -100
all O -100
night O -100
, O -100
and O -100
she O -100
timed O -100
the O -100
courses O -100
perfectly O -100
. O -100
But O -100
a O -100
smile O -100
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a O -100
little O -100
hospitality O -100
certainly O -100
would O -100
have O -100
made O -100
us O -100
feel O -100
a O -100
lot O -100
more O -100
comfortable O -100
. O -100
We O -100
hit O -100
a O -100
home O -100
run O -100
with O -100
our O -100
appetizers O -100
. O -100
My O -100
boyfriend O -100
ordered O -100
the O -100
pork B-ASP -100
gyoza I-ASP -100
, O -100
and O -100
they O -100
were O -100
crispy O -100
on O -100
the O -100
outside O -100
, O -100
warm O -100
and O -100
moist O -100
on O -100
the O -100
inside O -100
. O -100
My O -100
miso B-ASP -100
soup I-ASP -100
was O -100
excellent O -100
. O -100
For O -100
our O -100
main O -100
course O -100
, O -100
we O -100
split O -100
the O -100
Shogun O -100
Boat O -100
, O -100
which O -100
consisted O -100
of O -100
eight O -100
pieces O -100
of O -100
Sushi O -100
, O -100
fifteen O -100
pieces O -100
of O -100
Sashimi O -100
, O -100
a O -100
Tuna O -100
Roll O -100
, O -100
a O -100
Caterpillar O -100
Roll O -100
and O -100
a O -100
California O -100
Roll O -100
. O -100
Now O -100
, O -100
we O -100
knew O -100
Ma O -100
Soba O -100
was O -100
not O -100
the O -100
top O -100
sushi O -100
restaurant O -100
in O -100
Boston O -100
. O -100
It O -100
' O -100
s O -100
not O -100
too O -100
pricey O -100
, O -100
so O -100
we O -100
knew O -100
not O -100
to O -100
expect O -100
phenomenal O -100
sushi O -100
. O -100
With O -100
that O -100
in O -100
mind O -100
, O -100
we O -100
were O -100
very O -100
pleased O -100
with O -100
the O -100
presentation O -100
, O -100
the O -100
selection O -100
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the O -100
quality O -100
. O -100
We O -100
were O -100
quite O -100
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our O -100
main O -100
course O -100
, O -100
even O -100
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our O -100
server O -100
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to O -100
crack O -100
a O -100
smile O -100
. O -100
However O -100
, O -100
the O -100
biggest O -100
disappointment O -100
was O -100
yet O -100
to O -100
come O -100
. O -100
We O -100
ordered O -100
the O -100
green O -100
tea O -100
mochi O -100
, O -100
and O -100
we O -100
were O -100
horrified O -100
when O -100
my O -100
boyfriend O -100
' O -100
s O -100
fork O -100
made O -100
a O -100
resounding O -100
" O -100
clank O -100
" O -100
against O -100
it O -100
as O -100
he O -100
tried O -100
to O -100
cut O -100
into O -100
it O -100
. O -100
I O -100
attempted O -100
a O -100
bite O -100
of O -100
my O -100
piece O -100
, O -100
but O -100
after O -100
chunks O -100
of O -100
freezer O -100
burn O -100
ice O -100
fell O -100
into O -100
my O -100
mouth O -100
, O -100
decided O -100
to O -100
follow O -100
my O -100
better O -100
judgment O -100
and O -100
send O -100
the O -100
mochi O -100
back O -100
. O -100
We O -100
were O -100
disappointed O -100
that O -100
the O -100
restaurant O -100
even O -100
served O -100
us O -100
such O -100
sub O -100
standard O -100
fare O -100
. O -100
We O -100
left O -100
disappointed O -100
. O -100
The O -100
sushi O -100
itself O -100
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as O -100
expected O -100
, O -100
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the O -100
service B-ASP -100
, O -100
the O -100
awful O -100
dessert B-ASP Negative
and O -100
the O -100
lack O -100
of O -100
ambiance B-ASP -100
in O -100
the O -100
restaurant O -100
ultimately O -100
left O -100
us O -100
unsatisfied O -100
. O -100
I O -100
doubt O -100
we O -100
' O -100
ll O -100
go O -100
back O -100
. O -100

It O -100
was O -100
the O -100
end O -100
of O -100
a O -100
long O -100
week O -100
, O -100
and O -100
I O -100
had O -100
promised O -100
my O -100
neglected O -100
boyfriend O -100
we O -100
would O -100
spend O -100
some O -100
quality O -100
time O -100
together O -100
. O -100
Our O -100
destination O -100
of O -100
choice O -100
? O -100
Ma O -100
Soba O -100
, O -100
a O -100
pan O -100
Asian O -100
and O -100
sushi O -100
restaurant O -100
in O -100
Beacon O -100
Hill O -100
. O -100
Opened O -100
in O -100
1999 O -100
, O -100
the O -100
restaurant O -100
has O -100
an O -100
impressive O -100
array O -100
of O -100
awards O -100
. O -100
Needless O -100
to O -100
say O -100
, O -100
we O -100
were O -100
pretty O -100
excited O -100
to O -100
try O -100
it O -100
out O -100
. O -100
We O -100
were O -100
greeted O -100
at O -100
the O -100
door O -100
by O -100
a O -100
friendly O -100
face O -100
, O -100
but O -100
his O -100
was O -100
the O -100
last O -100
smile O -100
we O -100
would O -100
see O -100
that O -100
evening O -100
. O -100
Our O -100
server B-ASP -100
ignored O -100
us O -100
for O -100
several O -100
minutes O -100
after O -100
stopping O -100
by O -100
just O -100
long O -100
enough O -100
to O -100
fill O -100
our O -100
water O -100
glasses O -100
, O -100
and O -100
when O -100
she O -100
did O -100
return O -100
, O -100
only O -100
wanted O -100
to O -100
know O -100
if O -100
we O -100
had O -100
" O -100
decided O -100
what O -100
we O -100
wanted O -100
" O -100
. O -100
She O -100
took O -100
our O -100
order O -100
and O -100
left O -100
. O -100
Not O -100
that O -100
she O -100
didn O -100
' O -100
t O -100
do O -100
her O -100
job O -100
well O -100
; O -100
she O -100
was O -100
tremendously O -100
efficient O -100
. O -100
Our O -100
water O -100
glasses O -100
were O -100
full O -100
all O -100
night O -100
, O -100
and O -100
she O -100
timed O -100
the O -100
courses O -100
perfectly O -100
. O -100
But O -100
a O -100
smile O -100
and O -100
a O -100
little O -100
hospitality O -100
certainly O -100
would O -100
have O -100
made O -100
us O -100
feel O -100
a O -100
lot O -100
more O -100
comfortable O -100
. O -100
We O -100
hit O -100
a O -100
home O -100
run O -100
with O -100
our O -100
appetizers O -100
. O -100
My O -100
boyfriend O -100
ordered O -100
the O -100
pork B-ASP -100
gyoza I-ASP -100
, O -100
and O -100
they O -100
were O -100
crispy O -100
on O -100
the O -100
outside O -100
, O -100
warm O -100
and O -100
moist O -100
on O -100
the O -100
inside O -100
. O -100
My O -100
miso B-ASP -100
soup I-ASP -100
was O -100
excellent O -100
. O -100
For O -100
our O -100
main O -100
course O -100
, O -100
we O -100
split O -100
the O -100
Shogun O -100
Boat O -100
, O -100
which O -100
consisted O -100
of O -100
eight O -100
pieces O -100
of O -100
Sushi O -100
, O -100
fifteen O -100
pieces O -100
of O -100
Sashimi O -100
, O -100
a O -100
Tuna O -100
Roll O -100
, O -100
a O -100
Caterpillar O -100
Roll O -100
and O -100
a O -100
California O -100
Roll O -100
. O -100
Now O -100
, O -100
we O -100
knew O -100
Ma O -100
Soba O -100
was O -100
not O -100
the O -100
top O -100
sushi O -100
restaurant O -100
in O -100
Boston O -100
. O -100
It O -100
' O -100
s O -100
not O -100
too O -100
pricey O -100
, O -100
so O -100
we O -100
knew O -100
not O -100
to O -100
expect O -100
phenomenal O -100
sushi O -100
. O -100
With O -100
that O -100
in O -100
mind O -100
, O -100
we O -100
were O -100
very O -100
pleased O -100
with O -100
the O -100
presentation O -100
, O -100
the O -100
selection O -100
and O -100
the O -100
quality O -100
. O -100
We O -100
were O -100
quite O -100
content O -100
after O -100
our O -100
main O -100
course O -100
, O -100
even O -100
if O -100
our O -100
server O -100
had O -100
yet O -100
to O -100
crack O -100
a O -100
smile O -100
. O -100
However O -100
, O -100
the O -100
biggest O -100
disappointment O -100
was O -100
yet O -100
to O -100
come O -100
. O -100
We O -100
ordered O -100
the O -100
green O -100
tea O -100
mochi O -100
, O -100
and O -100
we O -100
were O -100
horrified O -100
when O -100
my O -100
boyfriend O -100
' O -100
s O -100
fork O -100
made O -100
a O -100
resounding O -100
" O -100
clank O -100
" O -100
against O -100
it O -100
as O -100
he O -100
tried O -100
to O -100
cut O -100
into O -100
it O -100
. O -100
I O -100
attempted O -100
a O -100
bite O -100
of O -100
my O -100
piece O -100
, O -100
but O -100
after O -100
chunks O -100
of O -100
freezer O -100
burn O -100
ice O -100
fell O -100
into O -100
my O -100
mouth O -100
, O -100
decided O -100
to O -100
follow O -100
my O -100
better O -100
judgment O -100
and O -100
send O -100
the O -100
mochi O -100
back O -100
. O -100
We O -100
were O -100
disappointed O -100
that O -100
the O -100
restaurant O -100
even O -100
served O -100
us O -100
such O -100
sub O -100
standard O -100
fare O -100
. O -100
We O -100
left O -100
disappointed O -100
. O -100
The O -100
sushi O -100
itself O -100
was O -100
as O -100
expected O -100
, O -100
but O -100
the O -100
service B-ASP -100
, O -100
the O -100
awful O -100
dessert B-ASP -100
and O -100
the O -100
lack O -100
of O -100
ambiance B-ASP Negative
in O -100
the O -100
restaurant O -100
ultimately O -100
left O -100
us O -100
unsatisfied O -100
. O -100
I O -100
doubt O -100
we O -100
' O -100
ll O -100
go O -100
back O -100
. O -100

At O -100
at O -100
this O -100
place O -100
for O -100
the O -100
first O -100
time O -100
today O -100
. O -100
I O -100
was O -100
in O -100
early O -100
. O -100
Coffee B-ASP Positive
was O -100
perked O -100
. O -100
. O -100
. O -100
and O -100
tasty O -100
. O -100
Breakfast B-ASP -100
was O -100
very O -100
good O -100
. O -100
Had O -100
standard O -100
. O -100
. O -100
. O -100
eggs O -100
, O -100
bacon O -100
, O -100
hash O -100
browns O -100
and O -100
French O -100
toast O -100
. O -100
With O -100
coffee O -100
, O -100
still O -100
less O -100
than O -100
$ O -100
10 O -100
. O -100
Staff B-ASP -100
was O -100
attentive O -100
even O -100
though O -100
they O -100
were O -100
busy O -100
. O -100
Coffee O -100
never O -100
ran O -100
out O -100
on O -100
me O -100
. O -100
My O -100
friend O -100
had O -100
the O -100
eggs O -100
Benedict O -100
. O -100
Well O -100
done O -100
, O -100
particularly O -100
for O -100
a O -100
diner B-ASP -100
. O -100
Hollandaise O -100
was O -100
homemade O -100
. O -100
. O -100
. O -100
not O -100
Sysco O -100
. O -100
Looking O -100
forward O -100
to O -100
going O -100
back O -100
. O -100
If O -100
u O -100
are O -100
at O -100
a O -100
swim O -100
meet O -100
at O -100
Harvard O -100
U O -100
. O -100
. O -100
. O -100
park O -100
the O -100
car O -100
and O -100
walk O -100
here O -100
. O -100
. O -100
. O -100
5 O -100
minutes O -100
away O -100
. O -100

At O -100
at O -100
this O -100
place O -100
for O -100
the O -100
first O -100
time O -100
today O -100
. O -100
I O -100
was O -100
in O -100
early O -100
. O -100
Coffee B-ASP -100
was O -100
perked O -100
. O -100
. O -100
. O -100
and O -100
tasty O -100
. O -100
Breakfast B-ASP Positive
was O -100
very O -100
good O -100
. O -100
Had O -100
standard O -100
. O -100
. O -100
. O -100
eggs O -100
, O -100
bacon O -100
, O -100
hash O -100
browns O -100
and O -100
French O -100
toast O -100
. O -100
With O -100
coffee O -100
, O -100
still O -100
less O -100
than O -100
$ O -100
10 O -100
. O -100
Staff B-ASP -100
was O -100
attentive O -100
even O -100
though O -100
they O -100
were O -100
busy O -100
. O -100
Coffee O -100
never O -100
ran O -100
out O -100
on O -100
me O -100
. O -100
My O -100
friend O -100
had O -100
the O -100
eggs O -100
Benedict O -100
. O -100
Well O -100
done O -100
, O -100
particularly O -100
for O -100
a O -100
diner B-ASP -100
. O -100
Hollandaise O -100
was O -100
homemade O -100
. O -100
. O -100
. O -100
not O -100
Sysco O -100
. O -100
Looking O -100
forward O -100
to O -100
going O -100
back O -100
. O -100
If O -100
u O -100
are O -100
at O -100
a O -100
swim O -100
meet O -100
at O -100
Harvard O -100
U O -100
. O -100
. O -100
. O -100
park O -100
the O -100
car O -100
and O -100
walk O -100
here O -100
. O -100
. O -100
. O -100
5 O -100
minutes O -100
away O -100
. O -100

At O -100
at O -100
this O -100
place O -100
for O -100
the O -100
first O -100
time O -100
today O -100
. O -100
I O -100
was O -100
in O -100
early O -100
. O -100
Coffee B-ASP -100
was O -100
perked O -100
. O -100
. O -100
. O -100
and O -100
tasty O -100
. O -100
Breakfast B-ASP -100
was O -100
very O -100
good O -100
. O -100
Had O -100
standard O -100
. O -100
. O -100
. O -100
eggs O -100
, O -100
bacon O -100
, O -100
hash O -100
browns O -100
and O -100
French O -100
toast O -100
. O -100
With O -100
coffee O -100
, O -100
still O -100
less O -100
than O -100
$ O -100
10 O -100
. O -100
Staff B-ASP Positive
was O -100
attentive O -100
even O -100
though O -100
they O -100
were O -100
busy O -100
. O -100
Coffee O -100
never O -100
ran O -100
out O -100
on O -100
me O -100
. O -100
My O -100
friend O -100
had O -100
the O -100
eggs O -100
Benedict O -100
. O -100
Well O -100
done O -100
, O -100
particularly O -100
for O -100
a O -100
diner B-ASP -100
. O -100
Hollandaise O -100
was O -100
homemade O -100
. O -100
. O -100
. O -100
not O -100
Sysco O -100
. O -100
Looking O -100
forward O -100
to O -100
going O -100
back O -100
. O -100
If O -100
u O -100
are O -100
at O -100
a O -100
swim O -100
meet O -100
at O -100
Harvard O -100
U O -100
. O -100
. O -100
. O -100
park O -100
the O -100
car O -100
and O -100
walk O -100
here O -100
. O -100
. O -100
. O -100
5 O -100
minutes O -100
away O -100
. O -100

At O -100
at O -100
this O -100
place O -100
for O -100
the O -100
first O -100
time O -100
today O -100
. O -100
I O -100
was O -100
in O -100
early O -100
. O -100
Coffee B-ASP -100
was O -100
perked O -100
. O -100
. O -100
. O -100
and O -100
tasty O -100
. O -100
Breakfast B-ASP -100
was O -100
very O -100
good O -100
. O -100
Had O -100
standard O -100
. O -100
. O -100
. O -100
eggs O -100
, O -100
bacon O -100
, O -100
hash O -100
browns O -100
and O -100
French O -100
toast O -100
. O -100
With O -100
coffee O -100
, O -100
still O -100
less O -100
than O -100
$ O -100
10 O -100
. O -100
Staff B-ASP -100
was O -100
attentive O -100
even O -100
though O -100
they O -100
were O -100
busy O -100
. O -100
Coffee O -100
never O -100
ran O -100
out O -100
on O -100
me O -100
. O -100
My O -100
friend O -100
had O -100
the O -100
eggs O -100
Benedict O -100
. O -100
Well O -100
done O -100
, O -100
particularly O -100
for O -100
a O -100
diner B-ASP Positive
. O -100
Hollandaise O -100
was O -100
homemade O -100
. O -100
. O -100
. O -100
not O -100
Sysco O -100
. O -100
Looking O -100
forward O -100
to O -100
going O -100
back O -100
. O -100
If O -100
u O -100
are O -100
at O -100
a O -100
swim O -100
meet O -100
at O -100
Harvard O -100
U O -100
. O -100
. O -100
. O -100
park O -100
the O -100
car O -100
and O -100
walk O -100
here O -100
. O -100
. O -100
. O -100
5 O -100
minutes O -100
away O -100
. O -100

Got O -100
a O -100
medium O -100
birthday B-ASP Positive
cake I-ASP Positive
with O -100
vanilla O -100
ice B-ASP -100
cream I-ASP -100
and O -100
devoured O -100
it O -100
. O -100
Could O -100
' O -100
ve O -100
eaten O -100
a O -100
large O -100
it B-ASP -100
was I-ASP -100
so O -100
good O -100
. O -100
Tried O -100
Mango B-ASP -100
too O -100
and O -100
it O -100
was O -100
awesome O -100
. O -100
Reminds O -100
me O -100
of O -100
Jerry O -100
' O -100
s O -100
in O -100
Memphis O -100
. O -100
Definitely O -100
going O -100
to O -100
come O -100
back O -100
here O -100
every O -100
time O -100
I O -100
visit O -100
Austin O -100
. O -100

Got O -100
a O -100
medium O -100
birthday B-ASP -100
cake I-ASP -100
with O -100
vanilla O -100
ice B-ASP Positive
cream I-ASP Positive
and O -100
devoured O -100
it O -100
. O -100
Could O -100
' O -100
ve O -100
eaten O -100
a O -100
large O -100
it B-ASP -100
was I-ASP -100
so O -100
good O -100
. O -100
Tried O -100
Mango B-ASP -100
too O -100
and O -100
it O -100
was O -100
awesome O -100
. O -100
Reminds O -100
me O -100
of O -100
Jerry O -100
' O -100
s O -100
in O -100
Memphis O -100
. O -100
Definitely O -100
going O -100
to O -100
come O -100
back O -100
here O -100
every O -100
time O -100
I O -100
visit O -100
Austin O -100
. O -100

Got O -100
a O -100
medium O -100
birthday B-ASP -100
cake I-ASP -100
with O -100
vanilla O -100
ice B-ASP -100
cream I-ASP -100
and O -100
devoured O -100
it O -100
. O -100
Could O -100
' O -100
ve O -100
eaten O -100
a O -100
large O -100
it B-ASP Positive
was I-ASP Positive
so O -100
good O -100
. O -100
Tried O -100
Mango B-ASP -100
too O -100
and O -100
it O -100
was O -100
awesome O -100
. O -100
Reminds O -100
me O -100
of O -100
Jerry O -100
' O -100
s O -100
in O -100
Memphis O -100
. O -100
Definitely O -100
going O -100
to O -100
come O -100
back O -100
here O -100
every O -100
time O -100
I O -100
visit O -100
Austin O -100
. O -100

Got O -100
a O -100
medium O -100
birthday B-ASP -100
cake I-ASP -100
with O -100
vanilla O -100
ice B-ASP -100
cream I-ASP -100
and O -100
devoured O -100
it O -100
. O -100
Could O -100
' O -100
ve O -100
eaten O -100
a O -100
large O -100
it B-ASP -100
was I-ASP -100
so O -100
good O -100
. O -100
Tried O -100
Mango B-ASP Positive
too O -100
and O -100
it O -100
was O -100
awesome O -100
. O -100
Reminds O -100
me O -100
of O -100
Jerry O -100
' O -100
s O -100
in O -100
Memphis O -100
. O -100
Definitely O -100
going O -100
to O -100
come O -100
back O -100
here O -100
every O -100
time O -100
I O -100
visit O -100
Austin O -100
. O -100

Apparently O -100
it O -100
' O -100
s O -100
a O -100
requirement O -100
to O -100
have O -100
a O -100
TERRIBLE O -100
attitude O -100
to O -100
work O -100
here O -100
. O -100
Just O -100
moved O -100
in O -100
across O -100
the O -100
street O -100
and O -100
was O -100
excited O -100
to O -100
have O -100
a O -100
juice O -100
bar O -100
across O -100
so O -100
close O -100
! O -100
Went O -100
in O -100
the O -100
first O -100
day O -100
to O -100
be O -100
" O -100
greeted O -100
" O -100
by O -100
a O -100
young B-ASP Negative
woman I-ASP Negative
with O -100
the O -100
worst O -100
attitude O -100
ever O -100
. O -100
I O -100
felt O -100
like O -100
I O -100
was O -100
doing O -100
her O -100
a O -100
disservice O -100
by O -100
asking O -100
her O -100
to O -100
do O -100
her O -100
job O -100
. O -100
Went O -100
in O -100
the O -100
day O -100
after O -100
hoping O -100
she O -100
wouldn O -100
' O -100
t O -100
be O -100
working O -100
because O -100
the O -100
food B-ASP -100
was O -100
quite O -100
good O -100
, O -100
only O -100
to O -100
find O -100
another O -100
young B-ASP -100
woman I-ASP -100
with O -100
an O -100
equally O -100
if O -100
not O -100
worse O -100
attitude O -100
working O -100
. O -100
Whoever O -100
owns O -100
or O -100
runs O -100
this O -100
establishment O -100
needs O -100
to O -100
find O -100
people O -100
who O -100
don O -100
' O -100
t O -100
suck O -100
life O -100
out O -100
of O -100
the O -100
room O -100
to O -100
represent O -100
their O -100
business O -100
. O -100
I O -100
would O -100
rather O -100
pay O -100
someone O -100
to O -100
go O -100
and O -100
get O -100
me O -100
a O -100
smoothie O -100
than O -100
go O -100
in O -100
myself O -100
. O -100

Apparently O -100
it O -100
' O -100
s O -100
a O -100
requirement O -100
to O -100
have O -100
a O -100
TERRIBLE O -100
attitude O -100
to O -100
work O -100
here O -100
. O -100
Just O -100
moved O -100
in O -100
across O -100
the O -100
street O -100
and O -100
was O -100
excited O -100
to O -100
have O -100
a O -100
juice O -100
bar O -100
across O -100
so O -100
close O -100
! O -100
Went O -100
in O -100
the O -100
first O -100
day O -100
to O -100
be O -100
" O -100
greeted O -100
" O -100
by O -100
a O -100
young B-ASP -100
woman I-ASP -100
with O -100
the O -100
worst O -100
attitude O -100
ever O -100
. O -100
I O -100
felt O -100
like O -100
I O -100
was O -100
doing O -100
her O -100
a O -100
disservice O -100
by O -100
asking O -100
her O -100
to O -100
do O -100
her O -100
job O -100
. O -100
Went O -100
in O -100
the O -100
day O -100
after O -100
hoping O -100
she O -100
wouldn O -100
' O -100
t O -100
be O -100
working O -100
because O -100
the O -100
food B-ASP Positive
was O -100
quite O -100
good O -100
, O -100
only O -100
to O -100
find O -100
another O -100
young B-ASP -100
woman I-ASP -100
with O -100
an O -100
equally O -100
if O -100
not O -100
worse O -100
attitude O -100
working O -100
. O -100
Whoever O -100
owns O -100
or O -100
runs O -100
this O -100
establishment O -100
needs O -100
to O -100
find O -100
people O -100
who O -100
don O -100
' O -100
t O -100
suck O -100
life O -100
out O -100
of O -100
the O -100
room O -100
to O -100
represent O -100
their O -100
business O -100
. O -100
I O -100
would O -100
rather O -100
pay O -100
someone O -100
to O -100
go O -100
and O -100
get O -100
me O -100
a O -100
smoothie O -100
than O -100
go O -100
in O -100
myself O -100
. O -100

Apparently O -100
it O -100
' O -100
s O -100
a O -100
requirement O -100
to O -100
have O -100
a O -100
TERRIBLE O -100
attitude O -100
to O -100
work O -100
here O -100
. O -100
Just O -100
moved O -100
in O -100
across O -100
the O -100
street O -100
and O -100
was O -100
excited O -100
to O -100
have O -100
a O -100
juice O -100
bar O -100
across O -100
so O -100
close O -100
! O -100
Went O -100
in O -100
the O -100
first O -100
day O -100
to O -100
be O -100
" O -100
greeted O -100
" O -100
by O -100
a O -100
young B-ASP -100
woman I-ASP -100
with O -100
the O -100
worst O -100
attitude O -100
ever O -100
. O -100
I O -100
felt O -100
like O -100
I O -100
was O -100
doing O -100
her O -100
a O -100
disservice O -100
by O -100
asking O -100
her O -100
to O -100
do O -100
her O -100
job O -100
. O -100
Went O -100
in O -100
the O -100
day O -100
after O -100
hoping O -100
she O -100
wouldn O -100
' O -100
t O -100
be O -100
working O -100
because O -100
the O -100
food B-ASP -100
was O -100
quite O -100
good O -100
, O -100
only O -100
to O -100
find O -100
another O -100
young B-ASP Negative
woman I-ASP Negative
with O -100
an O -100
equally O -100
if O -100
not O -100
worse O -100
attitude O -100
working O -100
. O -100
Whoever O -100
owns O -100
or O -100
runs O -100
this O -100
establishment O -100
needs O -100
to O -100
find O -100
people O -100
who O -100
don O -100
' O -100
t O -100
suck O -100
life O -100
out O -100
of O -100
the O -100
room O -100
to O -100
represent O -100
their O -100
business O -100
. O -100
I O -100
would O -100
rather O -100
pay O -100
someone O -100
to O -100
go O -100
and O -100
get O -100
me O -100
a O -100
smoothie O -100
than O -100
go O -100
in O -100
myself O -100
. O -100

The O -100
Cottonwood O -100
is O -100
mediocre O -100
. O -100
I O -100
ordered O -100
the O -100
Twice O -100
Stuffed O -100
Chicken O -100
and O -100
my O -100
boyfriend O -100
got O -100
the O -100
Seafood O -100
Gunpowder O -100
. O -100
Both B-ASP Neutral
were O -100
just O -100
ok O -100
; O -100
things O -100
I O -100
could O -100
make O -100
at O -100
home O -100
. O -100
The O -100
atmosphere B-ASP -100
was O -100
nice O -100
, O -100
but O -100
the O -100
food B-ASP -100
was O -100
too O -100
pricey O -100
for O -100
a O -100
mediocre O -100
meal O -100
. O -100

The O -100
Cottonwood O -100
is O -100
mediocre O -100
. O -100
I O -100
ordered O -100
the O -100
Twice O -100
Stuffed O -100
Chicken O -100
and O -100
my O -100
boyfriend O -100
got O -100
the O -100
Seafood O -100
Gunpowder O -100
. O -100
Both B-ASP -100
were O -100
just O -100
ok O -100
; O -100
things O -100
I O -100
could O -100
make O -100
at O -100
home O -100
. O -100
The O -100
atmosphere B-ASP Positive
was O -100
nice O -100
, O -100
but O -100
the O -100
food B-ASP -100
was O -100
too O -100
pricey O -100
for O -100
a O -100
mediocre O -100
meal O -100
. O -100

The O -100
Cottonwood O -100
is O -100
mediocre O -100
. O -100
I O -100
ordered O -100
the O -100
Twice O -100
Stuffed O -100
Chicken O -100
and O -100
my O -100
boyfriend O -100
got O -100
the O -100
Seafood O -100
Gunpowder O -100
. O -100
Both B-ASP -100
were O -100
just O -100
ok O -100
; O -100
things O -100
I O -100
could O -100
make O -100
at O -100
home O -100
. O -100
The O -100
atmosphere B-ASP -100
was O -100
nice O -100
, O -100
but O -100
the O -100
food B-ASP Negative
was O -100
too O -100
pricey O -100
for O -100
a O -100
mediocre O -100
meal O -100
. O -100

Great O -100
burgers B-ASP Positive
and O -100
vibes B-ASP -100
. O -100
The O -100
staff B-ASP -100
is O -100
always O -100
friendly O -100
and O -100
ready O -100
to O -100
assist O -100
however O -100
they O -100
can O -100
. O -100
The O -100
food B-ASP -100
is O -100
the O -100
real O -100
star O -100
of O -100
this O -100
place O -100
. O -100
I O -100
' O -100
ve O -100
thoroughly O -100
enjoyed O -100
the O -100
Lamb O -100
burger B-ASP -100
and O -100
the O -100
ribs B-ASP -100
so O -100
if O -100
you O -100
' O -100
d O -100
like O -100
some O -100
great O -100
flavor O -100
start O -100
there O -100
. O -100

Great O -100
burgers B-ASP -100
and O -100
vibes B-ASP Positive
. O -100
The O -100
staff B-ASP -100
is O -100
always O -100
friendly O -100
and O -100
ready O -100
to O -100
assist O -100
however O -100
they O -100
can O -100
. O -100
The O -100
food B-ASP -100
is O -100
the O -100
real O -100
star O -100
of O -100
this O -100
place O -100
. O -100
I O -100
' O -100
ve O -100
thoroughly O -100
enjoyed O -100
the O -100
Lamb O -100
burger B-ASP -100
and O -100
the O -100
ribs B-ASP -100
so O -100
if O -100
you O -100
' O -100
d O -100
like O -100
some O -100
great O -100
flavor O -100
start O -100
there O -100
. O -100

Great O -100
burgers B-ASP -100
and O -100
vibes B-ASP -100
. O -100
The O -100
staff B-ASP Positive
is O -100
always O -100
friendly O -100
and O -100
ready O -100
to O -100
assist O -100
however O -100
they O -100
can O -100
. O -100
The O -100
food B-ASP -100
is O -100
the O -100
real O -100
star O -100
of O -100
this O -100
place O -100
. O -100
I O -100
' O -100
ve O -100
thoroughly O -100
enjoyed O -100
the O -100
Lamb O -100
burger B-ASP -100
and O -100
the O -100
ribs B-ASP -100
so O -100
if O -100
you O -100
' O -100
d O -100
like O -100
some O -100
great O -100
flavor O -100
start O -100
there O -100
. O -100

Great O -100
burgers B-ASP -100
and O -100
vibes B-ASP -100
. O -100
The O -100
staff B-ASP -100
is O -100
always O -100
friendly O -100
and O -100
ready O -100
to O -100
assist O -100
however O -100
they O -100
can O -100
. O -100
The O -100
food B-ASP Positive
is O -100
the O -100
real O -100
star O -100
of O -100
this O -100
place O -100
. O -100
I O -100
' O -100
ve O -100
thoroughly O -100
enjoyed O -100
the O -100
Lamb O -100
burger B-ASP -100
and O -100
the O -100
ribs B-ASP -100
so O -100
if O -100
you O -100
' O -100
d O -100
like O -100
some O -100
great O -100
flavor O -100
start O -100
there O -100
. O -100

Great O -100
burgers B-ASP -100
and O -100
vibes B-ASP -100
. O -100
The O -100
staff B-ASP -100
is O -100
always O -100
friendly O -100
and O -100
ready O -100
to O -100
assist O -100
however O -100
they O -100
can O -100
. O -100
The O -100
food B-ASP -100
is O -100
the O -100
real O -100
star O -100
of O -100
this O -100
place O -100
. O -100
I O -100
' O -100
ve O -100
thoroughly O -100
enjoyed O -100
the O -100
Lamb O -100
burger B-ASP Positive
and O -100
the O -100
ribs B-ASP -100
so O -100
if O -100
you O -100
' O -100
d O -100
like O -100
some O -100
great O -100
flavor O -100
start O -100
there O -100
. O -100

Great O -100
burgers B-ASP -100
and O -100
vibes B-ASP -100
. O -100
The O -100
staff B-ASP -100
is O -100
always O -100
friendly O -100
and O -100
ready O -100
to O -100
assist O -100
however O -100
they O -100
can O -100
. O -100
The O -100
food B-ASP -100
is O -100
the O -100
real O -100
star O -100
of O -100
this O -100
place O -100
. O -100
I O -100
' O -100
ve O -100
thoroughly O -100
enjoyed O -100
the O -100
Lamb O -100
burger B-ASP -100
and O -100
the O -100
ribs B-ASP Positive
so O -100
if O -100
you O -100
' O -100
d O -100
like O -100
some O -100
great O -100
flavor O -100
start O -100
there O -100
. O -100

Delish O -100
. O -100
The O -100
only O -100
downside O -100
is O -100
that O -100
it O -100
is O -100
downtown B-ASP Negative
. O -100
; O -100
) O -100
If O -100
I O -100
didn O -100
' O -100
t O -100
hate O -100
to O -100
be O -100
around O -100
people O -100
so O -100
much O -100
, O -100
I O -100
' O -100
d O -100
definitely O -100
be O -100
back O -100
regularly O -100
. O -100
Spot O -100
on O -100
chicken B-ASP -100
deliciousness O -100
. O -100
It O -100
( O -100
dare O -100
I O -100
say O -100
it O -100
? O -100
) O -100
may O -100
be O -100
better O -100
than O -100
Lucy O -100
' O -100
s O -100
. O -100
( O -100
Shhh O -100
don O -100
' O -100
t O -100
tell O -100
on O -100
me O -100
! O -100
) O -100
. O -100

Delish O -100
. O -100
The O -100
only O -100
downside O -100
is O -100
that O -100
it O -100
is O -100
downtown B-ASP -100
. O -100
; O -100
) O -100
If O -100
I O -100
didn O -100
' O -100
t O -100
hate O -100
to O -100
be O -100
around O -100
people O -100
so O -100
much O -100
, O -100
I O -100
' O -100
d O -100
definitely O -100
be O -100
back O -100
regularly O -100
. O -100
Spot O -100
on O -100
chicken B-ASP Positive
deliciousness O -100
. O -100
It O -100
( O -100
dare O -100
I O -100
say O -100
it O -100
? O -100
) O -100
may O -100
be O -100
better O -100
than O -100
Lucy O -100
' O -100
s O -100
. O -100
( O -100
Shhh O -100
don O -100
' O -100
t O -100
tell O -100
on O -100
me O -100
! O -100
) O -100
. O -100

Wow O -100
, O -100
i O -100
finally O -100
get O -100
to O -100
go O -100
to O -100
one O -100
of O -100
my O -100
favorite O -100
bbq O -100
places O -100
from O -100
ohio O -100
, O -100
but O -100
here O -100
in O -100
Atlanta O -100
! O -100
There O -100
pork B-ASP Positive
is O -100
always O -100
juicy O -100
and O -100
the O -100
brisket B-ASP -100
( O -100
rare O -100
in O -100
Georgia O -100
) O -100
ia O -100
always O -100
good O -100
too O -100
. O -100
Be O -100
sure O -100
to O -100
ask O -100
for O -100
a O -100
free O -100
side O -100
of O -100
bark O -100
, O -100
if O -100
you O -100
like O -100
the O -100
burnt O -100
crusty O -100
outside O -100
of O -100
the O -100
meat O -100
. O -100

Wow O -100
, O -100
i O -100
finally O -100
get O -100
to O -100
go O -100
to O -100
one O -100
of O -100
my O -100
favorite O -100
bbq O -100
places O -100
from O -100
ohio O -100
, O -100
but O -100
here O -100
in O -100
Atlanta O -100
! O -100
There O -100
pork B-ASP -100
is O -100
always O -100
juicy O -100
and O -100
the O -100
brisket B-ASP Positive
( O -100
rare O -100
in O -100
Georgia O -100
) O -100
ia O -100
always O -100
good O -100
too O -100
. O -100
Be O -100
sure O -100
to O -100
ask O -100
for O -100
a O -100
free O -100
side O -100
of O -100
bark O -100
, O -100
if O -100
you O -100
like O -100
the O -100
burnt O -100
crusty O -100
outside O -100
of O -100
the O -100
meat O -100
. O -100

Affordable O -100
prices B-ASP Neutral
and O -100
really O -100
good O -100
food B-ASP -100
! O -100
! O -100
What O -100
else O -100
can O -100
I O -100
ask O -100
more O -100
? O -100
? O -100
Even O -100
tho O -100
I O -100
saw O -100
one O -100
guy O -100
taking O -100
care O -100
of O -100
the O -100
tables O -100
( O -100
it O -100
was O -100
lunch O -100
time O -100
so O -100
it O -100
was O -100
kind O -100
of O -100
busy O -100
) O -100
he O -100
came O -100
often O -100
to O -100
ask O -100
if O -100
I O -100
wanted O -100
something O -100
else O -100
and O -100
how O -100
I O -100
was O -100
doing O -100
. O -100
. O -100
Service B-ASP -100
is O -100
rely O -100
good O -100
he O -100
even O -100
recommended O -100
a O -100
desert O -100
. O -100
. O -100
Going O -100
back O -100
for O -100
sure O -100
and O -100
bringing O -100
some O -100
friends O -100
! O -100
! O -100
I O -100
highly O -100
recommend O -100
this O -100
place O -100
. O -100
. O -100
Do O -100
yourself O -100
a O -100
favor O -100
and O -100
check O -100
it O -100
out O -100
. O -100
. O -100
I O -100
had O -100
Lomo O -100
saltado O -100
Btw O -100
. O -100
. O -100

Affordable O -100
prices B-ASP -100
and O -100
really O -100
good O -100
food B-ASP Positive
! O -100
! O -100
What O -100
else O -100
can O -100
I O -100
ask O -100
more O -100
? O -100
? O -100
Even O -100
tho O -100
I O -100
saw O -100
one O -100
guy O -100
taking O -100
care O -100
of O -100
the O -100
tables O -100
( O -100
it O -100
was O -100
lunch O -100
time O -100
so O -100
it O -100
was O -100
kind O -100
of O -100
busy O -100
) O -100
he O -100
came O -100
often O -100
to O -100
ask O -100
if O -100
I O -100
wanted O -100
something O -100
else O -100
and O -100
how O -100
I O -100
was O -100
doing O -100
. O -100
. O -100
Service B-ASP -100
is O -100
rely O -100
good O -100
he O -100
even O -100
recommended O -100
a O -100
desert O -100
. O -100
. O -100
Going O -100
back O -100
for O -100
sure O -100
and O -100
bringing O -100
some O -100
friends O -100
! O -100
! O -100
I O -100
highly O -100
recommend O -100
this O -100
place O -100
. O -100
. O -100
Do O -100
yourself O -100
a O -100
favor O -100
and O -100
check O -100
it O -100
out O -100
. O -100
. O -100
I O -100
had O -100
Lomo O -100
saltado O -100
Btw O -100
. O -100
. O -100

Affordable O -100
prices B-ASP -100
and O -100
really O -100
good O -100
food B-ASP -100
! O -100
! O -100
What O -100
else O -100
can O -100
I O -100
ask O -100
more O -100
? O -100
? O -100
Even O -100
tho O -100
I O -100
saw O -100
one O -100
guy O -100
taking O -100
care O -100
of O -100
the O -100
tables O -100
( O -100
it O -100
was O -100
lunch O -100
time O -100
so O -100
it O -100
was O -100
kind O -100
of O -100
busy O -100
) O -100
he O -100
came O -100
often O -100
to O -100
ask O -100
if O -100
I O -100
wanted O -100
something O -100
else O -100
and O -100
how O -100
I O -100
was O -100
doing O -100
. O -100
. O -100
Service B-ASP Positive
is O -100
rely O -100
good O -100
he O -100
even O -100
recommended O -100
a O -100
desert O -100
. O -100
. O -100
Going O -100
back O -100
for O -100
sure O -100
and O -100
bringing O -100
some O -100
friends O -100
! O -100
! O -100
I O -100
highly O -100
recommend O -100
this O -100
place O -100
. O -100
. O -100
Do O -100
yourself O -100
a O -100
favor O -100
and O -100
check O -100
it O -100
out O -100
. O -100
. O -100
I O -100
had O -100
Lomo O -100
saltado O -100
Btw O -100
. O -100
. O -100

This O -100
is O -100
definitely O -100
a O -100
unique O -100
restaurant O -100
! O -100
We O -100
were O -100
here O -100
on O -100
a O -100
Friday O -100
night O -100
and O -100
were O -100
surprised O -100
to O -100
find O -100
people O -100
literally O -100
dancing O -100
on O -100
their O -100
tables O -100
with O -100
a O -100
DJ O -100
playing O -100
a O -100
mix O -100
of O -100
dance O -100
music O -100
and O -100
what O -100
I O -100
imagine O -100
was O -100
Greek O -100
pop O -100
music O -100
. O -100
The O -100
atmosphere B-ASP Neutral
was O -100
very O -100
loud O -100
but O -100
overall O -100
the B-ASP -100
food I-ASP -100
was O -100
great O -100
and O -100
the O -100
service B-ASP -100
was O -100
excellent O -100
. O -100
Worth O -100
checking O -100
out O -100
! O -100

This O -100
is O -100
definitely O -100
a O -100
unique O -100
restaurant O -100
! O -100
We O -100
were O -100
here O -100
on O -100
a O -100
Friday O -100
night O -100
and O -100
were O -100
surprised O -100
to O -100
find O -100
people O -100
literally O -100
dancing O -100
on O -100
their O -100
tables O -100
with O -100
a O -100
DJ O -100
playing O -100
a O -100
mix O -100
of O -100
dance O -100
music O -100
and O -100
what O -100
I O -100
imagine O -100
was O -100
Greek O -100
pop O -100
music O -100
. O -100
The O -100
atmosphere B-ASP -100
was O -100
very O -100
loud O -100
but O -100
overall O -100
the B-ASP Positive
food I-ASP Positive
was O -100
great O -100
and O -100
the O -100
service B-ASP -100
was O -100
excellent O -100
. O -100
Worth O -100
checking O -100
out O -100
! O -100

This O -100
is O -100
definitely O -100
a O -100
unique O -100
restaurant O -100
! O -100
We O -100
were O -100
here O -100
on O -100
a O -100
Friday O -100
night O -100
and O -100
were O -100
surprised O -100
to O -100
find O -100
people O -100
literally O -100
dancing O -100
on O -100
their O -100
tables O -100
with O -100
a O -100
DJ O -100
playing O -100
a O -100
mix O -100
of O -100
dance O -100
music O -100
and O -100
what O -100
I O -100
imagine O -100
was O -100
Greek O -100
pop O -100
music O -100
. O -100
The O -100
atmosphere B-ASP -100
was O -100
very O -100
loud O -100
but O -100
overall O -100
the B-ASP -100
food I-ASP -100
was O -100
great O -100
and O -100
the O -100
service B-ASP Positive
was O -100
excellent O -100
. O -100
Worth O -100
checking O -100
out O -100
! O -100

I O -100
really O -100
like O -100
all O -100
of O -100
the O -100
Buckhead O -100
life O -100
restaurants O -100
. O -100
When O -100
you O -100
go O -100
to O -100
one O -100
you O -100
know O -100
you O -100
will O -100
get O -100
a O -100
consistently O -100
good O -100
experience O -100
. O -100
Their O -100
" O -100
summer O -100
dine O -100
around O -100
" O -100
program O -100
is O -100
ingenious O -100
. O -100
Great O -100
marketing O -100
give O -100
the O -100
person O -100
who O -100
thought O -100
of O -100
it O -100
a O -100
raise O -100
. O -100
It O -100
keeps O -100
me O -100
in O -100
their O -100
restaurants O -100
once O -100
a O -100
month O -100
and O -100
I O -100
spend O -100
a O -100
lot O -100
of O -100
$ O -100
$ O -100
$ O -100
$ O -100
each O -100
time O -100
. O -100
At O -100
kyma O -100
we O -100
started O -100
with O -100
the O -100
grilled O -100
octopus B-ASP Positive
and O -100
all O -100
the O -100
reviews O -100
are O -100
true O -100
it O -100
' O -100
s O -100
awesome O -100
. O -100
So O -100
tender O -100
. O -100
Calamari O -100
was O -100
good O -100
too O -100
but O -100
grilled B-ASP -100
octopus I-ASP -100
is O -100
still O -100
my O -100
favorite O -100
. O -100
For O -100
dinner O -100
I O -100
had O -100
the O -100
sea B-ASP -100
bream I-ASP -100
. O -100
Excellent O -100
. O -100
With O -100
white O -100
bean O -100
salad B-ASP -100
( O -100
I O -100
recommend O -100
) O -100
. O -100
Eggplant B-ASP -100
side I-ASP -100
was O -100
also O -100
great O -100
. O -100
For O -100
dessert O -100
I O -100
had O -100
the O -100
chocolate O -100
lava O -100
cake O -100
with O -100
warm O -100
sauce O -100
inside O -100
. O -100
If O -100
you O -100
love O -100
chocolate O -100
, O -100
get O -100
this O -100
. O -100
It B-ASP -100
was O -100
great O -100
. O -100
I O -100
had O -100
the O -100
' O -100
nut O -100
' O -100
ice O -100
cream O -100
. O -100
Forgot O -100
exact O -100
name O -100
. O -100
It O -100
was O -100
just O -100
ok O -100
. O -100
My O -100
friends O -100
ice O -100
cream O -100
was O -100
creamier O -100
and O -100
better O -100
. O -100
The O -100
nuts O -100
made O -100
it O -100
too O -100
lumpy O -100
. O -100
Wasn O -100
' O -100
t O -100
too O -100
bad O -100
I O -100
still O -100
ate O -100
it O -100
. O -100
Hehe O -100

I O -100
really O -100
like O -100
all O -100
of O -100
the O -100
Buckhead O -100
life O -100
restaurants O -100
. O -100
When O -100
you O -100
go O -100
to O -100
one O -100
you O -100
know O -100
you O -100
will O -100
get O -100
a O -100
consistently O -100
good O -100
experience O -100
. O -100
Their O -100
" O -100
summer O -100
dine O -100
around O -100
" O -100
program O -100
is O -100
ingenious O -100
. O -100
Great O -100
marketing O -100
give O -100
the O -100
person O -100
who O -100
thought O -100
of O -100
it O -100
a O -100
raise O -100
. O -100
It O -100
keeps O -100
me O -100
in O -100
their O -100
restaurants O -100
once O -100
a O -100
month O -100
and O -100
I O -100
spend O -100
a O -100
lot O -100
of O -100
$ O -100
$ O -100
$ O -100
$ O -100
each O -100
time O -100
. O -100
At O -100
kyma O -100
we O -100
started O -100
with O -100
the O -100
grilled O -100
octopus B-ASP -100
and O -100
all O -100
the O -100
reviews O -100
are O -100
true O -100
it O -100
' O -100
s O -100
awesome O -100
. O -100
So O -100
tender O -100
. O -100
Calamari O -100
was O -100
good O -100
too O -100
but O -100
grilled B-ASP Positive
octopus I-ASP Positive
is O -100
still O -100
my O -100
favorite O -100
. O -100
For O -100
dinner O -100
I O -100
had O -100
the O -100
sea B-ASP -100
bream I-ASP -100
. O -100
Excellent O -100
. O -100
With O -100
white O -100
bean O -100
salad B-ASP -100
( O -100
I O -100
recommend O -100
) O -100
. O -100
Eggplant B-ASP -100
side I-ASP -100
was O -100
also O -100
great O -100
. O -100
For O -100
dessert O -100
I O -100
had O -100
the O -100
chocolate O -100
lava O -100
cake O -100
with O -100
warm O -100
sauce O -100
inside O -100
. O -100
If O -100
you O -100
love O -100
chocolate O -100
, O -100
get O -100
this O -100
. O -100
It B-ASP -100
was O -100
great O -100
. O -100
I O -100
had O -100
the O -100
' O -100
nut O -100
' O -100
ice O -100
cream O -100
. O -100
Forgot O -100
exact O -100
name O -100
. O -100
It O -100
was O -100
just O -100
ok O -100
. O -100
My O -100
friends O -100
ice O -100
cream O -100
was O -100
creamier O -100
and O -100
better O -100
. O -100
The O -100
nuts O -100
made O -100
it O -100
too O -100
lumpy O -100
. O -100
Wasn O -100
' O -100
t O -100
too O -100
bad O -100
I O -100
still O -100
ate O -100
it O -100
. O -100
Hehe O -100

I O -100
really O -100
like O -100
all O -100
of O -100
the O -100
Buckhead O -100
life O -100
restaurants O -100
. O -100
When O -100
you O -100
go O -100
to O -100
one O -100
you O -100
know O -100
you O -100
will O -100
get O -100
a O -100
consistently O -100
good O -100
experience O -100
. O -100
Their O -100
" O -100
summer O -100
dine O -100
around O -100
" O -100
program O -100
is O -100
ingenious O -100
. O -100
Great O -100
marketing O -100
give O -100
the O -100
person O -100
who O -100
thought O -100
of O -100
it O -100
a O -100
raise O -100
. O -100
It O -100
keeps O -100
me O -100
in O -100
their O -100
restaurants O -100
once O -100
a O -100
month O -100
and O -100
I O -100
spend O -100
a O -100
lot O -100
of O -100
$ O -100
$ O -100
$ O -100
$ O -100
each O -100
time O -100
. O -100
At O -100
kyma O -100
we O -100
started O -100
with O -100
the O -100
grilled O -100
octopus B-ASP -100
and O -100
all O -100
the O -100
reviews O -100
are O -100
true O -100
it O -100
' O -100
s O -100
awesome O -100
. O -100
So O -100
tender O -100
. O -100
Calamari O -100
was O -100
good O -100
too O -100
but O -100
grilled B-ASP -100
octopus I-ASP -100
is O -100
still O -100
my O -100
favorite O -100
. O -100
For O -100
dinner O -100
I O -100
had O -100
the O -100
sea B-ASP Positive
bream I-ASP Positive
. O -100
Excellent O -100
. O -100
With O -100
white O -100
bean O -100
salad B-ASP -100
( O -100
I O -100
recommend O -100
) O -100
. O -100
Eggplant B-ASP -100
side I-ASP -100
was O -100
also O -100
great O -100
. O -100
For O -100
dessert O -100
I O -100
had O -100
the O -100
chocolate O -100
lava O -100
cake O -100
with O -100
warm O -100
sauce O -100
inside O -100
. O -100
If O -100
you O -100
love O -100
chocolate O -100
, O -100
get O -100
this O -100
. O -100
It B-ASP -100
was O -100
great O -100
. O -100
I O -100
had O -100
the O -100
' O -100
nut O -100
' O -100
ice O -100
cream O -100
. O -100
Forgot O -100
exact O -100
name O -100
. O -100
It O -100
was O -100
just O -100
ok O -100
. O -100
My O -100
friends O -100
ice O -100
cream O -100
was O -100
creamier O -100
and O -100
better O -100
. O -100
The O -100
nuts O -100
made O -100
it O -100
too O -100
lumpy O -100
. O -100
Wasn O -100
' O -100
t O -100
too O -100
bad O -100
I O -100
still O -100
ate O -100
it O -100
. O -100
Hehe O -100

I O -100
really O -100
like O -100
all O -100
of O -100
the O -100
Buckhead O -100
life O -100
restaurants O -100
. O -100
When O -100
you O -100
go O -100
to O -100
one O -100
you O -100
know O -100
you O -100
will O -100
get O -100
a O -100
consistently O -100
good O -100
experience O -100
. O -100
Their O -100
" O -100
summer O -100
dine O -100
around O -100
" O -100
program O -100
is O -100
ingenious O -100
. O -100
Great O -100
marketing O -100
give O -100
the O -100
person O -100
who O -100
thought O -100
of O -100
it O -100
a O -100
raise O -100
. O -100
It O -100
keeps O -100
me O -100
in O -100
their O -100
restaurants O -100
once O -100
a O -100
month O -100
and O -100
I O -100
spend O -100
a O -100
lot O -100
of O -100
$ O -100
$ O -100
$ O -100
$ O -100
each O -100
time O -100
. O -100
At O -100
kyma O -100
we O -100
started O -100
with O -100
the O -100
grilled O -100
octopus B-ASP -100
and O -100
all O -100
the O -100
reviews O -100
are O -100
true O -100
it O -100
' O -100
s O -100
awesome O -100
. O -100
So O -100
tender O -100
. O -100
Calamari O -100
was O -100
good O -100
too O -100
but O -100
grilled B-ASP -100
octopus I-ASP -100
is O -100
still O -100
my O -100
favorite O -100
. O -100
For O -100
dinner O -100
I O -100
had O -100
the O -100
sea B-ASP -100
bream I-ASP -100
. O -100
Excellent O -100
. O -100
With O -100
white O -100
bean O -100
salad B-ASP Positive
( O -100
I O -100
recommend O -100
) O -100
. O -100
Eggplant B-ASP -100
side I-ASP -100
was O -100
also O -100
great O -100
. O -100
For O -100
dessert O -100
I O -100
had O -100
the O -100
chocolate O -100
lava O -100
cake O -100
with O -100
warm O -100
sauce O -100
inside O -100
. O -100
If O -100
you O -100
love O -100
chocolate O -100
, O -100
get O -100
this O -100
. O -100
It B-ASP -100
was O -100
great O -100
. O -100
I O -100
had O -100
the O -100
' O -100
nut O -100
' O -100
ice O -100
cream O -100
. O -100
Forgot O -100
exact O -100
name O -100
. O -100
It O -100
was O -100
just O -100
ok O -100
. O -100
My O -100
friends O -100
ice O -100
cream O -100
was O -100
creamier O -100
and O -100
better O -100
. O -100
The O -100
nuts O -100
made O -100
it O -100
too O -100
lumpy O -100
. O -100
Wasn O -100
' O -100
t O -100
too O -100
bad O -100
I O -100
still O -100
ate O -100
it O -100
. O -100
Hehe O -100

I O -100
really O -100
like O -100
all O -100
of O -100
the O -100
Buckhead O -100
life O -100
restaurants O -100
. O -100
When O -100
you O -100
go O -100
to O -100
one O -100
you O -100
know O -100
you O -100
will O -100
get O -100
a O -100
consistently O -100
good O -100
experience O -100
. O -100
Their O -100
" O -100
summer O -100
dine O -100
around O -100
" O -100
program O -100
is O -100
ingenious O -100
. O -100
Great O -100
marketing O -100
give O -100
the O -100
person O -100
who O -100
thought O -100
of O -100
it O -100
a O -100
raise O -100
. O -100
It O -100
keeps O -100
me O -100
in O -100
their O -100
restaurants O -100
once O -100
a O -100
month O -100
and O -100
I O -100
spend O -100
a O -100
lot O -100
of O -100
$ O -100
$ O -100
$ O -100
$ O -100
each O -100
time O -100
. O -100
At O -100
kyma O -100
we O -100
started O -100
with O -100
the O -100
grilled O -100
octopus B-ASP -100
and O -100
all O -100
the O -100
reviews O -100
are O -100
true O -100
it O -100
' O -100
s O -100
awesome O -100
. O -100
So O -100
tender O -100
. O -100
Calamari O -100
was O -100
good O -100
too O -100
but O -100
grilled B-ASP -100
octopus I-ASP -100
is O -100
still O -100
my O -100
favorite O -100
. O -100
For O -100
dinner O -100
I O -100
had O -100
the O -100
sea B-ASP -100
bream I-ASP -100
. O -100
Excellent O -100
. O -100
With O -100
white O -100
bean O -100
salad B-ASP -100
( O -100
I O -100
recommend O -100
) O -100
. O -100
Eggplant B-ASP Positive
side I-ASP Positive
was O -100
also O -100
great O -100
. O -100
For O -100
dessert O -100
I O -100
had O -100
the O -100
chocolate O -100
lava O -100
cake O -100
with O -100
warm O -100
sauce O -100
inside O -100
. O -100
If O -100
you O -100
love O -100
chocolate O -100
, O -100
get O -100
this O -100
. O -100
It B-ASP -100
was O -100
great O -100
. O -100
I O -100
had O -100
the O -100
' O -100
nut O -100
' O -100
ice O -100
cream O -100
. O -100
Forgot O -100
exact O -100
name O -100
. O -100
It O -100
was O -100
just O -100
ok O -100
. O -100
My O -100
friends O -100
ice O -100
cream O -100
was O -100
creamier O -100
and O -100
better O -100
. O -100
The O -100
nuts O -100
made O -100
it O -100
too O -100
lumpy O -100
. O -100
Wasn O -100
' O -100
t O -100
too O -100
bad O -100
I O -100
still O -100
ate O -100
it O -100
. O -100
Hehe O -100

I O -100
really O -100
like O -100
all O -100
of O -100
the O -100
Buckhead O -100
life O -100
restaurants O -100
. O -100
When O -100
you O -100
go O -100
to O -100
one O -100
you O -100
know O -100
you O -100
will O -100
get O -100
a O -100
consistently O -100
good O -100
experience O -100
. O -100
Their O -100
" O -100
summer O -100
dine O -100
around O -100
" O -100
program O -100
is O -100
ingenious O -100
. O -100
Great O -100
marketing O -100
give O -100
the O -100
person O -100
who O -100
thought O -100
of O -100
it O -100
a O -100
raise O -100
. O -100
It O -100
keeps O -100
me O -100
in O -100
their O -100
restaurants O -100
once O -100
a O -100
month O -100
and O -100
I O -100
spend O -100
a O -100
lot O -100
of O -100
$ O -100
$ O -100
$ O -100
$ O -100
each O -100
time O -100
. O -100
At O -100
kyma O -100
we O -100
started O -100
with O -100
the O -100
grilled O -100
octopus B-ASP -100
and O -100
all O -100
the O -100
reviews O -100
are O -100
true O -100
it O -100
' O -100
s O -100
awesome O -100
. O -100
So O -100
tender O -100
. O -100
Calamari O -100
was O -100
good O -100
too O -100
but O -100
grilled B-ASP -100
octopus I-ASP -100
is O -100
still O -100
my O -100
favorite O -100
. O -100
For O -100
dinner O -100
I O -100
had O -100
the O -100
sea B-ASP -100
bream I-ASP -100
. O -100
Excellent O -100
. O -100
With O -100
white O -100
bean O -100
salad B-ASP -100
( O -100
I O -100
recommend O -100
) O -100
. O -100
Eggplant B-ASP -100
side I-ASP -100
was O -100
also O -100
great O -100
. O -100
For O -100
dessert O -100
I O -100
had O -100
the O -100
chocolate O -100
lava O -100
cake O -100
with O -100
warm O -100
sauce O -100
inside O -100
. O -100
If O -100
you O -100
love O -100
chocolate O -100
, O -100
get O -100
this O -100
. O -100
It B-ASP Positive
was O -100
great O -100
. O -100
I O -100
had O -100
the O -100
' O -100
nut O -100
' O -100
ice O -100
cream O -100
. O -100
Forgot O -100
exact O -100
name O -100
. O -100
It O -100
was O -100
just O -100
ok O -100
. O -100
My O -100
friends O -100
ice O -100
cream O -100
was O -100
creamier O -100
and O -100
better O -100
. O -100
The O -100
nuts O -100
made O -100
it O -100
too O -100
lumpy O -100
. O -100
Wasn O -100
' O -100
t O -100
too O -100
bad O -100
I O -100
still O -100
ate O -100
it O -100
. O -100
Hehe O -100

Did O -100
not O -100
enjoy O -100
this O -100
place O -100
at O -100
all O -100
. O -100
The O -100
Milky B-ASP Negative
Sake I-ASP Negative
wasn O -100
' O -100
t O -100
good O -100
. O -100
The O -100
broth O -100
for O -100
the O -100
beef B-ASP -100
udon I-ASP -100
was O -100
very O -100
bland O -100
and O -100
the O -100
Miso B-ASP -100
soup I-ASP -100
was O -100
cold O -100
. O -100
The O -100
Japanese O -100
fried B-ASP -100
chicken I-ASP -100
was O -100
flavorful O -100
but O -100
that O -100
' O -100
s O -100
about O -100
it O -100
. O -100

Did O -100
not O -100
enjoy O -100
this O -100
place O -100
at O -100
all O -100
. O -100
The O -100
Milky B-ASP -100
Sake I-ASP -100
wasn O -100
' O -100
t O -100
good O -100
. O -100
The O -100
broth O -100
for O -100
the O -100
beef B-ASP Negative
udon I-ASP Negative
was O -100
very O -100
bland O -100
and O -100
the O -100
Miso B-ASP -100
soup I-ASP -100
was O -100
cold O -100
. O -100
The O -100
Japanese O -100
fried B-ASP -100
chicken I-ASP -100
was O -100
flavorful O -100
but O -100
that O -100
' O -100
s O -100
about O -100
it O -100
. O -100

Did O -100
not O -100
enjoy O -100
this O -100
place O -100
at O -100
all O -100
. O -100
The O -100
Milky B-ASP -100
Sake I-ASP -100
wasn O -100
' O -100
t O -100
good O -100
. O -100
The O -100
broth O -100
for O -100
the O -100
beef B-ASP -100
udon I-ASP -100
was O -100
very O -100
bland O -100
and O -100
the O -100
Miso B-ASP Negative
soup I-ASP Negative
was O -100
cold O -100
. O -100
The O -100
Japanese O -100
fried B-ASP -100
chicken I-ASP -100
was O -100
flavorful O -100
but O -100
that O -100
' O -100
s O -100
about O -100
it O -100
. O -100

Did O -100
not O -100
enjoy O -100
this O -100
place O -100
at O -100
all O -100
. O -100
The O -100
Milky B-ASP -100
Sake I-ASP -100
wasn O -100
' O -100
t O -100
good O -100
. O -100
The O -100
broth O -100
for O -100
the O -100
beef B-ASP -100
udon I-ASP -100
was O -100
very O -100
bland O -100
and O -100
the O -100
Miso B-ASP -100
soup I-ASP -100
was O -100
cold O -100
. O -100
The O -100
Japanese O -100
fried B-ASP Neutral
chicken I-ASP Neutral
was O -100
flavorful O -100
but O -100
that O -100
' O -100
s O -100
about O -100
it O -100
. O -100

I O -100
think O -100
they O -100
opened O -100
one O -100
month O -100
ago O -100
( O -100
July O -100
2014 O -100
) O -100
. O -100
Excellent O -100
Lebanese O -100
food B-ASP Positive
at O -100
very O -100
reasonable O -100
prices B-ASP -100
. O -100
Not O -100
a O -100
fancy O -100
place B-ASP -100
, O -100
simple O -100
. O -100
If O -100
you O -100
want O -100
fancy O -100
, O -100
go O -100
to O -100
Al O -100
Wadi O -100
, O -100
but O -100
you O -100
will O -100
pay O -100
double O -100
the O -100
price O -100
for O -100
food O -100
that O -100
you O -100
can O -100
get O -100
here O -100
. O -100
Easy O -100
to O -100
get O -100
to O -100
from O -100
Dedham O -100
and O -100
Rt O -100
. O -100
1 O -100
. O -100
Very O -100
good O -100
! O -100

I O -100
think O -100
they O -100
opened O -100
one O -100
month O -100
ago O -100
( O -100
July O -100
2014 O -100
) O -100
. O -100
Excellent O -100
Lebanese O -100
food B-ASP -100
at O -100
very O -100
reasonable O -100
prices B-ASP Neutral
. O -100
Not O -100
a O -100
fancy O -100
place B-ASP -100
, O -100
simple O -100
. O -100
If O -100
you O -100
want O -100
fancy O -100
, O -100
go O -100
to O -100
Al O -100
Wadi O -100
, O -100
but O -100
you O -100
will O -100
pay O -100
double O -100
the O -100
price O -100
for O -100
food O -100
that O -100
you O -100
can O -100
get O -100
here O -100
. O -100
Easy O -100
to O -100
get O -100
to O -100
from O -100
Dedham O -100
and O -100
Rt O -100
. O -100
1 O -100
. O -100
Very O -100
good O -100
! O -100

I O -100
think O -100
they O -100
opened O -100
one O -100
month O -100
ago O -100
( O -100
July O -100
2014 O -100
) O -100
. O -100
Excellent O -100
Lebanese O -100
food B-ASP -100
at O -100
very O -100
reasonable O -100
prices B-ASP -100
. O -100
Not O -100
a O -100
fancy O -100
place B-ASP Neutral
, O -100
simple O -100
. O -100
If O -100
you O -100
want O -100
fancy O -100
, O -100
go O -100
to O -100
Al O -100
Wadi O -100
, O -100
but O -100
you O -100
will O -100
pay O -100
double O -100
the O -100
price O -100
for O -100
food O -100
that O -100
you O -100
can O -100
get O -100
here O -100
. O -100
Easy O -100
to O -100
get O -100
to O -100
from O -100
Dedham O -100
and O -100
Rt O -100
. O -100
1 O -100
. O -100
Very O -100
good O -100
! O -100

Server O -100
was O -100
absolutely O -100
amazing O -100
tonight O -100
. O -100
Food B-ASP Positive
and O -100
drink B-ASP -100
was O -100
amazing O -100
. O -100
Outshined O -100
our O -100
lousy O -100
shitty O -100
dinner O -100
at O -100
Bar O -100
Louie O -100
. O -100

Server O -100
was O -100
absolutely O -100
amazing O -100
tonight O -100
. O -100
Food B-ASP -100
and O -100
drink B-ASP Positive
was O -100
amazing O -100
. O -100
Outshined O -100
our O -100
lousy O -100
shitty O -100
dinner O -100
at O -100
Bar O -100
Louie O -100
. O -100

Usually O -100
have O -100
very O -100
good O -100
experiance O -100
at O -100
joes O -100
, O -100
but O -100
my O -100
friend O -100
' O -100
s O -100
turkey O -100
burger B-ASP Negative
was O -100
wrong O -100
and O -100
undercooked O -100
( O -100
pink O -100
) O -100
3 O -100
times O -100
. O -100
Unacceptable O -100
in O -100
my O -100
eyes O -100
, O -100
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I O -100
wont O -100
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back O -100
at O -100
let O -100
to O -100
this O -100
location O -100
. O -100

SiP O -100
is O -100
one O -100
of O -100
my O -100
favorite O -100
spots O -100
in O -100
Boulder O -100
. O -100
The O -100
owners B-ASP Positive
are O -100
two O -100
of O -100
the O -100
friendliest O -100
people O -100
I O -100
' O -100
ve O -100
ever O -100
met O -100
and O -100
the O -100
service B-ASP -100
couldn O -100
' O -100
t O -100
be O -100
better O -100
. O -100
It O -100
' O -100
s O -100
a O -100
great O -100
spot O -100
to O -100
stop O -100
and O -100
have O -100
a O -100
coffee O -100
or O -100
drink O -100
with O -100
friends O -100
. O -100
The O -100
flatbread O -100
pizzas B-ASP -100
are O -100
fantastic O -100
as O -100
well O -100
! O -100
SiP O -100
has O -100
a O -100
fun O -100
, O -100
laid O -100
back O -100
atmosphere B-ASP -100
that O -100
is O -100
perfect O -100
for O -100
just O -100
about O -100
every O -100
occasion O -100
. O -100
I O -100
highly O -100
recommend O -100
to O -100
anyone O -100
nearby O -100
! O -100

SiP O -100
is O -100
one O -100
of O -100
my O -100
favorite O -100
spots O -100
in O -100
Boulder O -100
. O -100
The O -100
owners B-ASP -100
are O -100
two O -100
of O -100
the O -100
friendliest O -100
people O -100
I O -100
' O -100
ve O -100
ever O -100
met O -100
and O -100
the O -100
service B-ASP Positive
couldn O -100
' O -100
t O -100
be O -100
better O -100
. O -100
It O -100
' O -100
s O -100
a O -100
great O -100
spot O -100
to O -100
stop O -100
and O -100
have O -100
a O -100
coffee O -100
or O -100
drink O -100
with O -100
friends O -100
. O -100
The O -100
flatbread O -100
pizzas B-ASP -100
are O -100
fantastic O -100
as O -100
well O -100
! O -100
SiP O -100
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a O -100
fun O -100
, O -100
laid O -100
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atmosphere B-ASP -100
that O -100
is O -100
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just O -100
about O -100
every O -100
occasion O -100
. O -100
I O -100
highly O -100
recommend O -100
to O -100
anyone O -100
nearby O -100
! O -100

SiP O -100
is O -100
one O -100
of O -100
my O -100
favorite O -100
spots O -100
in O -100
Boulder O -100
. O -100
The O -100
owners B-ASP -100
are O -100
two O -100
of O -100
the O -100
friendliest O -100
people O -100
I O -100
' O -100
ve O -100
ever O -100
met O -100
and O -100
the O -100
service B-ASP -100
couldn O -100
' O -100
t O -100
be O -100
better O -100
. O -100
It O -100
' O -100
s O -100
a O -100
great O -100
spot O -100
to O -100
stop O -100
and O -100
have O -100
a O -100
coffee O -100
or O -100
drink O -100
with O -100
friends O -100
. O -100
The O -100
flatbread O -100
pizzas B-ASP Positive
are O -100
fantastic O -100
as O -100
well O -100
! O -100
SiP O -100
has O -100
a O -100
fun O -100
, O -100
laid O -100
back O -100
atmosphere B-ASP -100
that O -100
is O -100
perfect O -100
for O -100
just O -100
about O -100
every O -100
occasion O -100
. O -100
I O -100
highly O -100
recommend O -100
to O -100
anyone O -100
nearby O -100
! O -100

SiP O -100
is O -100
one O -100
of O -100
my O -100
favorite O -100
spots O -100
in O -100
Boulder O -100
. O -100
The O -100
owners B-ASP -100
are O -100
two O -100
of O -100
the O -100
friendliest O -100
people O -100
I O -100
' O -100
ve O -100
ever O -100
met O -100
and O -100
the O -100
service B-ASP -100
couldn O -100
' O -100
t O -100
be O -100
better O -100
. O -100
It O -100
' O -100
s O -100
a O -100
great O -100
spot O -100
to O -100
stop O -100
and O -100
have O -100
a O -100
coffee O -100
or O -100
drink O -100
with O -100
friends O -100
. O -100
The O -100
flatbread O -100
pizzas B-ASP -100
are O -100
fantastic O -100
as O -100
well O -100
! O -100
SiP O -100
has O -100
a O -100
fun O -100
, O -100
laid O -100
back O -100
atmosphere B-ASP Positive
that O -100
is O -100
perfect O -100
for O -100
just O -100
about O -100
every O -100
occasion O -100
. O -100
I O -100
highly O -100
recommend O -100
to O -100
anyone O -100
nearby O -100
! O -100

I O -100
' O -100
ve O -100
gone O -100
in O -100
a O -100
couple O -100
of O -100
times O -100
over O -100
the O -100
past O -100
year O -100
for O -100
lunch O -100
, O -100
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I O -100
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in O -100
after O -100
2pm O -100
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they O -100
have O -100
a O -100
very O -100
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menu O -100
, O -100
which O -100
included O -100
nothing O -100
to O -100
my O -100
liking O -100
. O -100
I O -100
sat O -100
at O -100
the O -100
bar O -100
both O -100
times O -100
and O -100
the O -100
bartender B-ASP Negative
gave O -100
me O -100
attitude O -100
when O -100
I O -100
complained O -100
that O -100
the O -100
menu O -100
was O -100
so O -100
limited O -100
. O -100
She B-ASP -100
wasn O -100
' O -100
t O -100
friendly O -100
at O -100
all O -100
and O -100
actually O -100
only O -100
served O -100
me O -100
after O -100
I O -100
had O -100
to O -100
flag O -100
her O -100
down O -100
( O -100
even O -100
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there O -100
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only O -100
four O -100
people O -100
at O -100
the O -100
bar O -100
at O -100
the O -100
time O -100
she B-ASP -100
was O -100
too O -100
busy O -100
doing O -100
prep O -100
work O -100
and O -100
playing O -100
on O -100
her O -100
phone O -100
) O -100
. O -100
Coincidentally O -100
, O -100
it O -100
was O -100
the O -100
same O -100
bartender O -100
on O -100
both O -100
visits O -100
. O -100
By O -100
the O -100
way O -100
, O -100
I O -100
went O -100
in O -100
the O -100
second O -100
time O -100
because O -100
it O -100
was O -100
six O -100
months O -100
in O -100
between O -100
visits O -100
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I O -100
forgot O -100
that O -100
they O -100
only O -100
had O -100
a O -100
limited O -100
menu O -100
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2pm O -100
. O -100
I O -100
should O -100
have O -100
remembered O -100
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the O -100
first O -100
visit O -100
, O -100
so O -100
the O -100
second O -100
visit O -100
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a O -100
mistake O -100
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only O -100
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to O -100
confirm O -100
my O -100
opinion O -100
of O -100
so O -100
so O -100
food B-ASP -100
and O -100
lousy O -100
service B-ASP -100
. O -100

I O -100
' O -100
ve O -100
gone O -100
in O -100
a O -100
couple O -100
of O -100
times O -100
over O -100
the O -100
past O -100
year O -100
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lunch O -100
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I O -100
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after O -100
2pm O -100
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they O -100
have O -100
a O -100
very O -100
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menu O -100
, O -100
which O -100
included O -100
nothing O -100
to O -100
my O -100
liking O -100
. O -100
I O -100
sat O -100
at O -100
the O -100
bar O -100
both O -100
times O -100
and O -100
the O -100
bartender B-ASP -100
gave O -100
me O -100
attitude O -100
when O -100
I O -100
complained O -100
that O -100
the O -100
menu O -100
was O -100
so O -100
limited O -100
. O -100
She B-ASP Negative
wasn O -100
' O -100
t O -100
friendly O -100
at O -100
all O -100
and O -100
actually O -100
only O -100
served O -100
me O -100
after O -100
I O -100
had O -100
to O -100
flag O -100
her O -100
down O -100
( O -100
even O -100
though O -100
there O -100
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only O -100
four O -100
people O -100
at O -100
the O -100
bar O -100
at O -100
the O -100
time O -100
she B-ASP -100
was O -100
too O -100
busy O -100
doing O -100
prep O -100
work O -100
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playing O -100
on O -100
her O -100
phone O -100
) O -100
. O -100
Coincidentally O -100
, O -100
it O -100
was O -100
the O -100
same O -100
bartender O -100
on O -100
both O -100
visits O -100
. O -100
By O -100
the O -100
way O -100
, O -100
I O -100
went O -100
in O -100
the O -100
second O -100
time O -100
because O -100
it O -100
was O -100
six O -100
months O -100
in O -100
between O -100
visits O -100
and O -100
I O -100
forgot O -100
that O -100
they O -100
only O -100
had O -100
a O -100
limited O -100
menu O -100
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2pm O -100
. O -100
I O -100
should O -100
have O -100
remembered O -100
after O -100
the O -100
first O -100
visit O -100
, O -100
so O -100
the O -100
second O -100
visit O -100
was O -100
a O -100
mistake O -100
and O -100
only O -100
served O -100
to O -100
confirm O -100
my O -100
opinion O -100
of O -100
so O -100
so O -100
food B-ASP -100
and O -100
lousy O -100
service B-ASP -100
. O -100

I O -100
' O -100
ve O -100
gone O -100
in O -100
a O -100
couple O -100
of O -100
times O -100
over O -100
the O -100
past O -100
year O -100
for O -100
lunch O -100
, O -100
but O -100
I O -100
went O -100
in O -100
after O -100
2pm O -100
and O -100
they O -100
have O -100
a O -100
very O -100
limited O -100
menu O -100
, O -100
which O -100
included O -100
nothing O -100
to O -100
my O -100
liking O -100
. O -100
I O -100
sat O -100
at O -100
the O -100
bar O -100
both O -100
times O -100
and O -100
the O -100
bartender B-ASP -100
gave O -100
me O -100
attitude O -100
when O -100
I O -100
complained O -100
that O -100
the O -100
menu O -100
was O -100
so O -100
limited O -100
. O -100
She B-ASP -100
wasn O -100
' O -100
t O -100
friendly O -100
at O -100
all O -100
and O -100
actually O -100
only O -100
served O -100
me O -100
after O -100
I O -100
had O -100
to O -100
flag O -100
her O -100
down O -100
( O -100
even O -100
though O -100
there O -100
were O -100
only O -100
four O -100
people O -100
at O -100
the O -100
bar O -100
at O -100
the O -100
time O -100
she B-ASP Negative
was O -100
too O -100
busy O -100
doing O -100
prep O -100
work O -100
and O -100
playing O -100
on O -100
her O -100
phone O -100
) O -100
. O -100
Coincidentally O -100
, O -100
it O -100
was O -100
the O -100
same O -100
bartender O -100
on O -100
both O -100
visits O -100
. O -100
By O -100
the O -100
way O -100
, O -100
I O -100
went O -100
in O -100
the O -100
second O -100
time O -100
because O -100
it O -100
was O -100
six O -100
months O -100
in O -100
between O -100
visits O -100
and O -100
I O -100
forgot O -100
that O -100
they O -100
only O -100
had O -100
a O -100
limited O -100
menu O -100
after O -100
2pm O -100
. O -100
I O -100
should O -100
have O -100
remembered O -100
after O -100
the O -100
first O -100
visit O -100
, O -100
so O -100
the O -100
second O -100
visit O -100
was O -100
a O -100
mistake O -100
and O -100
only O -100
served O -100
to O -100
confirm O -100
my O -100
opinion O -100
of O -100
so O -100
so O -100
food B-ASP -100
and O -100
lousy O -100
service B-ASP -100
. O -100

I O -100
' O -100
ve O -100
gone O -100
in O -100
a O -100
couple O -100
of O -100
times O -100
over O -100
the O -100
past O -100
year O -100
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lunch O -100
, O -100
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I O -100
went O -100
in O -100
after O -100
2pm O -100
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they O -100
have O -100
a O -100
very O -100
limited O -100
menu O -100
, O -100
which O -100
included O -100
nothing O -100
to O -100
my O -100
liking O -100
. O -100
I O -100
sat O -100
at O -100
the O -100
bar O -100
both O -100
times O -100
and O -100
the O -100
bartender B-ASP -100
gave O -100
me O -100
attitude O -100
when O -100
I O -100
complained O -100
that O -100
the O -100
menu O -100
was O -100
so O -100
limited O -100
. O -100
She B-ASP -100
wasn O -100
' O -100
t O -100
friendly O -100
at O -100
all O -100
and O -100
actually O -100
only O -100
served O -100
me O -100
after O -100
I O -100
had O -100
to O -100
flag O -100
her O -100
down O -100
( O -100
even O -100
though O -100
there O -100
were O -100
only O -100
four O -100
people O -100
at O -100
the O -100
bar O -100
at O -100
the O -100
time O -100
she B-ASP -100
was O -100
too O -100
busy O -100
doing O -100
prep O -100
work O -100
and O -100
playing O -100
on O -100
her O -100
phone O -100
) O -100
. O -100
Coincidentally O -100
, O -100
it O -100
was O -100
the O -100
same O -100
bartender O -100
on O -100
both O -100
visits O -100
. O -100
By O -100
the O -100
way O -100
, O -100
I O -100
went O -100
in O -100
the O -100
second O -100
time O -100
because O -100
it O -100
was O -100
six O -100
months O -100
in O -100
between O -100
visits O -100
and O -100
I O -100
forgot O -100
that O -100
they O -100
only O -100
had O -100
a O -100
limited O -100
menu O -100
after O -100
2pm O -100
. O -100
I O -100
should O -100
have O -100
remembered O -100
after O -100
the O -100
first O -100
visit O -100
, O -100
so O -100
the O -100
second O -100
visit O -100
was O -100
a O -100
mistake O -100
and O -100
only O -100
served O -100
to O -100
confirm O -100
my O -100
opinion O -100
of O -100
so O -100
so O -100
food B-ASP Negative
and O -100
lousy O -100
service B-ASP -100
. O -100

I O -100
' O -100
ve O -100
gone O -100
in O -100
a O -100
couple O -100
of O -100
times O -100
over O -100
the O -100
past O -100
year O -100
for O -100
lunch O -100
, O -100
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I O -100
went O -100
in O -100
after O -100
2pm O -100
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they O -100
have O -100
a O -100
very O -100
limited O -100
menu O -100
, O -100
which O -100
included O -100
nothing O -100
to O -100
my O -100
liking O -100
. O -100
I O -100
sat O -100
at O -100
the O -100
bar O -100
both O -100
times O -100
and O -100
the O -100
bartender B-ASP -100
gave O -100
me O -100
attitude O -100
when O -100
I O -100
complained O -100
that O -100
the O -100
menu O -100
was O -100
so O -100
limited O -100
. O -100
She B-ASP -100
wasn O -100
' O -100
t O -100
friendly O -100
at O -100
all O -100
and O -100
actually O -100
only O -100
served O -100
me O -100
after O -100
I O -100
had O -100
to O -100
flag O -100
her O -100
down O -100
( O -100
even O -100
though O -100
there O -100
were O -100
only O -100
four O -100
people O -100
at O -100
the O -100
bar O -100
at O -100
the O -100
time O -100
she B-ASP -100
was O -100
too O -100
busy O -100
doing O -100
prep O -100
work O -100
and O -100
playing O -100
on O -100
her O -100
phone O -100
) O -100
. O -100
Coincidentally O -100
, O -100
it O -100
was O -100
the O -100
same O -100
bartender O -100
on O -100
both O -100
visits O -100
. O -100
By O -100
the O -100
way O -100
, O -100
I O -100
went O -100
in O -100
the O -100
second O -100
time O -100
because O -100
it O -100
was O -100
six O -100
months O -100
in O -100
between O -100
visits O -100
and O -100
I O -100
forgot O -100
that O -100
they O -100
only O -100
had O -100
a O -100
limited O -100
menu O -100
after O -100
2pm O -100
. O -100
I O -100
should O -100
have O -100
remembered O -100
after O -100
the O -100
first O -100
visit O -100
, O -100
so O -100
the O -100
second O -100
visit O -100
was O -100
a O -100
mistake O -100
and O -100
only O -100
served O -100
to O -100
confirm O -100
my O -100
opinion O -100
of O -100
so O -100
so O -100
food B-ASP -100
and O -100
lousy O -100
service B-ASP Negative
. O -100

I O -100
had O -100
the O -100
pan O -100
friend O -100
noodles O -100
with O -100
beef O -100
today O -100
for O -100
lunch O -100
. O -100
The O -100
noodles B-ASP Positive
are O -100
made O -100
in O -100
house O -100
and O -100
are O -100
so O -100
delicious O -100
! B-ASP -100
$ I-ASP -100
7 I-ASP -100
. O -100
95 O -100
special O -100
for O -100
lunch O -100
and O -100
you O -100
get O -100
a O -100
huge O -100
bowl O -100
of O -100
noodles O -100
. O -100
Give O -100
this O -100
place O -100
a O -100
try O -100
. O -100
You O -100
won O -100
' O -100
t O -100
be O -100
disappointed O -100
! O -100

I O -100
had O -100
the O -100
pan O -100
friend O -100
noodles O -100
with O -100
beef O -100
today O -100
for O -100
lunch O -100
. O -100
The O -100
noodles B-ASP -100
are O -100
made O -100
in O -100
house O -100
and O -100
are O -100
so O -100
delicious O -100
! B-ASP Positive
$ I-ASP Positive
7 I-ASP Positive
. O -100
95 O -100
special O -100
for O -100
lunch O -100
and O -100
you O -100
get O -100
a O -100
huge O -100
bowl O -100
of O -100
noodles O -100
. O -100
Give O -100
this O -100
place O -100
a O -100
try O -100
. O -100
You O -100
won O -100
' O -100
t O -100
be O -100
disappointed O -100
! O -100

I O -100
absolutely O -100
adore O -100
Fishbones O -100
! O -100
I O -100
haven O -100
' O -100
t O -100
eaten O -100
at O -100
the O -100
tourist O -100
I O -100
Drive O -100
location O -100
, O -100
but O -100
I O -100
' O -100
ve O -100
heard O -100
it O -100
sucks O -100
compared O -100
to O -100
the O -100
Lake O -100
Mary O -100
location O -100
. O -100
Everything O -100
here O -100
is O -100
excellent O -100
and O -100
it O -100
had O -100
some O -100
of O -100
the O -100
freshest O -100
seafood B-ASP Positive
available O -100
. O -100
The O -100
sushi B-ASP -100
is O -100
pretty O -100
awesome O -100
, O -100
but O -100
I O -100
definitely O -100
suggest O -100
trying O -100
their O -100
oyster O -100
sampler O -100
appetizer B-ASP -100
. O -100
My O -100
favorite O -100
entree O -100
is O -100
the O -100
seared B-ASP -100
Ahi I-ASP -100
tuna O -100
. O -100
But O -100
definitely O -100
check O -100
out O -100
their O -100
daily O -100
specials O -100
. O -100
Sometimes O -100
they O -100
get O -100
in O -100
gigantic O -100
stone O -100
crab O -100
claws O -100
. O -100
The O -100
wine B-ASP -100
selection O -100
is O -100
great O -100
and O -100
they O -100
poor O -100
stiff O -100
drinks O -100
. O -100
Always O -100
a O -100
plus O -100
. O -100
The O -100
food B-ASP -100
is O -100
pricey O -100
but O -100
it O -100
' O -100
s O -100
excellent O -100
as O -100
well O -100
as O -100
the O -100
service B-ASP -100
. O -100
The O -100
decor B-ASP -100
is O -100
great O -100
too O -100
. O -100
My O -100
favorite O -100
is O -100
the O -100
outdoor O -100
patio O -100
and O -100
the O -100
bar O -100
that O -100
' O -100
s O -100
plastered O -100
with O -100
oyster O -100
shells O -100
. O -100

I O -100
absolutely O -100
adore O -100
Fishbones O -100
! O -100
I O -100
haven O -100
' O -100
t O -100
eaten O -100
at O -100
the O -100
tourist O -100
I O -100
Drive O -100
location O -100
, O -100
but O -100
I O -100
' O -100
ve O -100
heard O -100
it O -100
sucks O -100
compared O -100
to O -100
the O -100
Lake O -100
Mary O -100
location O -100
. O -100
Everything O -100
here O -100
is O -100
excellent O -100
and O -100
it O -100
had O -100
some O -100
of O -100
the O -100
freshest O -100
seafood B-ASP -100
available O -100
. O -100
The O -100
sushi B-ASP Positive
is O -100
pretty O -100
awesome O -100
, O -100
but O -100
I O -100
definitely O -100
suggest O -100
trying O -100
their O -100
oyster O -100
sampler O -100
appetizer B-ASP -100
. O -100
My O -100
favorite O -100
entree O -100
is O -100
the O -100
seared B-ASP -100
Ahi I-ASP -100
tuna O -100
. O -100
But O -100
definitely O -100
check O -100
out O -100
their O -100
daily O -100
specials O -100
. O -100
Sometimes O -100
they O -100
get O -100
in O -100
gigantic O -100
stone O -100
crab O -100
claws O -100
. O -100
The O -100
wine B-ASP -100
selection O -100
is O -100
great O -100
and O -100
they O -100
poor O -100
stiff O -100
drinks O -100
. O -100
Always O -100
a O -100
plus O -100
. O -100
The O -100
food B-ASP -100
is O -100
pricey O -100
but O -100
it O -100
' O -100
s O -100
excellent O -100
as O -100
well O -100
as O -100
the O -100
service B-ASP -100
. O -100
The O -100
decor B-ASP -100
is O -100
great O -100
too O -100
. O -100
My O -100
favorite O -100
is O -100
the O -100
outdoor O -100
patio O -100
and O -100
the O -100
bar O -100
that O -100
' O -100
s O -100
plastered O -100
with O -100
oyster O -100
shells O -100
. O -100

I O -100
absolutely O -100
adore O -100
Fishbones O -100
! O -100
I O -100
haven O -100
' O -100
t O -100
eaten O -100
at O -100
the O -100
tourist O -100
I O -100
Drive O -100
location O -100
, O -100
but O -100
I O -100
' O -100
ve O -100
heard O -100
it O -100
sucks O -100
compared O -100
to O -100
the O -100
Lake O -100
Mary O -100
location O -100
. O -100
Everything O -100
here O -100
is O -100
excellent O -100
and O -100
it O -100
had O -100
some O -100
of O -100
the O -100
freshest O -100
seafood B-ASP -100
available O -100
. O -100
The O -100
sushi B-ASP -100
is O -100
pretty O -100
awesome O -100
, O -100
but O -100
I O -100
definitely O -100
suggest O -100
trying O -100
their O -100
oyster O -100
sampler O -100
appetizer B-ASP Positive
. O -100
My O -100
favorite O -100
entree O -100
is O -100
the O -100
seared B-ASP -100
Ahi I-ASP -100
tuna O -100
. O -100
But O -100
definitely O -100
check O -100
out O -100
their O -100
daily O -100
specials O -100
. O -100
Sometimes O -100
they O -100
get O -100
in O -100
gigantic O -100
stone O -100
crab O -100
claws O -100
. O -100
The O -100
wine B-ASP -100
selection O -100
is O -100
great O -100
and O -100
they O -100
poor O -100
stiff O -100
drinks O -100
. O -100
Always O -100
a O -100
plus O -100
. O -100
The O -100
food B-ASP -100
is O -100
pricey O -100
but O -100
it O -100
' O -100
s O -100
excellent O -100
as O -100
well O -100
as O -100
the O -100
service B-ASP -100
. O -100
The O -100
decor B-ASP -100
is O -100
great O -100
too O -100
. O -100
My O -100
favorite O -100
is O -100
the O -100
outdoor O -100
patio O -100
and O -100
the O -100
bar O -100
that O -100
' O -100
s O -100
plastered O -100
with O -100
oyster O -100
shells O -100
. O -100

I O -100
absolutely O -100
adore O -100
Fishbones O -100
! O -100
I O -100
haven O -100
' O -100
t O -100
eaten O -100
at O -100
the O -100
tourist O -100
I O -100
Drive O -100
location O -100
, O -100
but O -100
I O -100
' O -100
ve O -100
heard O -100
it O -100
sucks O -100
compared O -100
to O -100
the O -100
Lake O -100
Mary O -100
location O -100
. O -100
Everything O -100
here O -100
is O -100
excellent O -100
and O -100
it O -100
had O -100
some O -100
of O -100
the O -100
freshest O -100
seafood B-ASP -100
available O -100
. O -100
The O -100
sushi B-ASP -100
is O -100
pretty O -100
awesome O -100
, O -100
but O -100
I O -100
definitely O -100
suggest O -100
trying O -100
their O -100
oyster O -100
sampler O -100
appetizer B-ASP -100
. O -100
My O -100
favorite O -100
entree O -100
is O -100
the O -100
seared B-ASP Positive
Ahi I-ASP Positive
tuna O -100
. O -100
But O -100
definitely O -100
check O -100
out O -100
their O -100
daily O -100
specials O -100
. O -100
Sometimes O -100
they O -100
get O -100
in O -100
gigantic O -100
stone O -100
crab O -100
claws O -100
. O -100
The O -100
wine B-ASP -100
selection O -100
is O -100
great O -100
and O -100
they O -100
poor O -100
stiff O -100
drinks O -100
. O -100
Always O -100
a O -100
plus O -100
. O -100
The O -100
food B-ASP -100
is O -100
pricey O -100
but O -100
it O -100
' O -100
s O -100
excellent O -100
as O -100
well O -100
as O -100
the O -100
service B-ASP -100
. O -100
The O -100
decor B-ASP -100
is O -100
great O -100
too O -100
. O -100
My O -100
favorite O -100
is O -100
the O -100
outdoor O -100
patio O -100
and O -100
the O -100
bar O -100
that O -100
' O -100
s O -100
plastered O -100
with O -100
oyster O -100
shells O -100
. O -100

I O -100
absolutely O -100
adore O -100
Fishbones O -100
! O -100
I O -100
haven O -100
' O -100
t O -100
eaten O -100
at O -100
the O -100
tourist O -100
I O -100
Drive O -100
location O -100
, O -100
but O -100
I O -100
' O -100
ve O -100
heard O -100
it O -100
sucks O -100
compared O -100
to O -100
the O -100
Lake O -100
Mary O -100
location O -100
. O -100
Everything O -100
here O -100
is O -100
excellent O -100
and O -100
it O -100
had O -100
some O -100
of O -100
the O -100
freshest O -100
seafood B-ASP -100
available O -100
. O -100
The O -100
sushi B-ASP -100
is O -100
pretty O -100
awesome O -100
, O -100
but O -100
I O -100
definitely O -100
suggest O -100
trying O -100
their O -100
oyster O -100
sampler O -100
appetizer B-ASP -100
. O -100
My O -100
favorite O -100
entree O -100
is O -100
the O -100
seared B-ASP -100
Ahi I-ASP -100
tuna O -100
. O -100
But O -100
definitely O -100
check O -100
out O -100
their O -100
daily O -100
specials O -100
. O -100
Sometimes O -100
they O -100
get O -100
in O -100
gigantic O -100
stone O -100
crab O -100
claws O -100
. O -100
The O -100
wine B-ASP Positive
selection O -100
is O -100
great O -100
and O -100
they O -100
poor O -100
stiff O -100
drinks O -100
. O -100
Always O -100
a O -100
plus O -100
. O -100
The O -100
food B-ASP -100
is O -100
pricey O -100
but O -100
it O -100
' O -100
s O -100
excellent O -100
as O -100
well O -100
as O -100
the O -100
service B-ASP -100
. O -100
The O -100
decor B-ASP -100
is O -100
great O -100
too O -100
. O -100
My O -100
favorite O -100
is O -100
the O -100
outdoor O -100
patio O -100
and O -100
the O -100
bar O -100
that O -100
' O -100
s O -100
plastered O -100
with O -100
oyster O -100
shells O -100
. O -100

I O -100
absolutely O -100
adore O -100
Fishbones O -100
! O -100
I O -100
haven O -100
' O -100
t O -100
eaten O -100
at O -100
the O -100
tourist O -100
I O -100
Drive O -100
location O -100
, O -100
but O -100
I O -100
' O -100
ve O -100
heard O -100
it O -100
sucks O -100
compared O -100
to O -100
the O -100
Lake O -100
Mary O -100
location O -100
. O -100
Everything O -100
here O -100
is O -100
excellent O -100
and O -100
it O -100
had O -100
some O -100
of O -100
the O -100
freshest O -100
seafood B-ASP -100
available O -100
. O -100
The O -100
sushi B-ASP -100
is O -100
pretty O -100
awesome O -100
, O -100
but O -100
I O -100
definitely O -100
suggest O -100
trying O -100
their O -100
oyster O -100
sampler O -100
appetizer B-ASP -100
. O -100
My O -100
favorite O -100
entree O -100
is O -100
the O -100
seared B-ASP -100
Ahi I-ASP -100
tuna O -100
. O -100
But O -100
definitely O -100
check O -100
out O -100
their O -100
daily O -100
specials O -100
. O -100
Sometimes O -100
they O -100
get O -100
in O -100
gigantic O -100
stone O -100
crab O -100
claws O -100
. O -100
The O -100
wine B-ASP -100
selection O -100
is O -100
great O -100
and O -100
they O -100
poor O -100
stiff O -100
drinks O -100
. O -100
Always O -100
a O -100
plus O -100
. O -100
The O -100
food B-ASP Neutral
is O -100
pricey O -100
but O -100
it O -100
' O -100
s O -100
excellent O -100
as O -100
well O -100
as O -100
the O -100
service B-ASP -100
. O -100
The O -100
decor B-ASP -100
is O -100
great O -100
too O -100
. O -100
My O -100
favorite O -100
is O -100
the O -100
outdoor O -100
patio O -100
and O -100
the O -100
bar O -100
that O -100
' O -100
s O -100
plastered O -100
with O -100
oyster O -100
shells O -100
. O -100

I O -100
absolutely O -100
adore O -100
Fishbones O -100
! O -100
I O -100
haven O -100
' O -100
t O -100
eaten O -100
at O -100
the O -100
tourist O -100
I O -100
Drive O -100
location O -100
, O -100
but O -100
I O -100
' O -100
ve O -100
heard O -100
it O -100
sucks O -100
compared O -100
to O -100
the O -100
Lake O -100
Mary O -100
location O -100
. O -100
Everything O -100
here O -100
is O -100
excellent O -100
and O -100
it O -100
had O -100
some O -100
of O -100
the O -100
freshest O -100
seafood B-ASP -100
available O -100
. O -100
The O -100
sushi B-ASP -100
is O -100
pretty O -100
awesome O -100
, O -100
but O -100
I O -100
definitely O -100
suggest O -100
trying O -100
their O -100
oyster O -100
sampler O -100
appetizer B-ASP -100
. O -100
My O -100
favorite O -100
entree O -100
is O -100
the O -100
seared B-ASP -100
Ahi I-ASP -100
tuna O -100
. O -100
But O -100
definitely O -100
check O -100
out O -100
their O -100
daily O -100
specials O -100
. O -100
Sometimes O -100
they O -100
get O -100
in O -100
gigantic O -100
stone O -100
crab O -100
claws O -100
. O -100
The O -100
wine B-ASP -100
selection O -100
is O -100
great O -100
and O -100
they O -100
poor O -100
stiff O -100
drinks O -100
. O -100
Always O -100
a O -100
plus O -100
. O -100
The O -100
food B-ASP -100
is O -100
pricey O -100
but O -100
it O -100
' O -100
s O -100
excellent O -100
as O -100
well O -100
as O -100
the O -100
service B-ASP Positive
. O -100
The O -100
decor B-ASP -100
is O -100
great O -100
too O -100
. O -100
My O -100
favorite O -100
is O -100
the O -100
outdoor O -100
patio O -100
and O -100
the O -100
bar O -100
that O -100
' O -100
s O -100
plastered O -100
with O -100
oyster O -100
shells O -100
. O -100

I O -100
absolutely O -100
adore O -100
Fishbones O -100
! O -100
I O -100
haven O -100
' O -100
t O -100
eaten O -100
at O -100
the O -100
tourist O -100
I O -100
Drive O -100
location O -100
, O -100
but O -100
I O -100
' O -100
ve O -100
heard O -100
it O -100
sucks O -100
compared O -100
to O -100
the O -100
Lake O -100
Mary O -100
location O -100
. O -100
Everything O -100
here O -100
is O -100
excellent O -100
and O -100
it O -100
had O -100
some O -100
of O -100
the O -100
freshest O -100
seafood B-ASP -100
available O -100
. O -100
The O -100
sushi B-ASP -100
is O -100
pretty O -100
awesome O -100
, O -100
but O -100
I O -100
definitely O -100
suggest O -100
trying O -100
their O -100
oyster O -100
sampler O -100
appetizer B-ASP -100
. O -100
My O -100
favorite O -100
entree O -100
is O -100
the O -100
seared B-ASP -100
Ahi I-ASP -100
tuna O -100
. O -100
But O -100
definitely O -100
check O -100
out O -100
their O -100
daily O -100
specials O -100
. O -100
Sometimes O -100
they O -100
get O -100
in O -100
gigantic O -100
stone O -100
crab O -100
claws O -100
. O -100
The O -100
wine B-ASP -100
selection O -100
is O -100
great O -100
and O -100
they O -100
poor O -100
stiff O -100
drinks O -100
. O -100
Always O -100
a O -100
plus O -100
. O -100
The O -100
food B-ASP -100
is O -100
pricey O -100
but O -100
it O -100
' O -100
s O -100
excellent O -100
as O -100
well O -100
as O -100
the O -100
service B-ASP -100
. O -100
The O -100
decor B-ASP Positive
is O -100
great O -100
too O -100
. O -100
My O -100
favorite O -100
is O -100
the O -100
outdoor O -100
patio O -100
and O -100
the O -100
bar O -100
that O -100
' O -100
s O -100
plastered O -100
with O -100
oyster O -100
shells O -100
. O -100

Wow O -100
loved O -100
the O -100
food O -100
here O -100
! O -100
The O -100
spring O -100
rolls O -100
were O -100
divine O -100
. O -100
The O -100
raspberry O -100
lychee O -100
drink B-ASP Positive
was O -100
sweet O -100
and O -100
flavorful O -100
. O -100
The O -100
Vietnamese O -100
eggplant B-ASP -100
was O -100
delightful O -100
. O -100
Very O -100
lively O -100
friendly O -100
environment O -100
. O -100
The O -100
waitress B-ASP -100
was O -100
knowledgeable O -100
and O -100
helpful O -100
. O -100
Definitely O -100
visit O -100
again O -100
. O -100

Wow O -100
loved O -100
the O -100
food O -100
here O -100
! O -100
The O -100
spring O -100
rolls O -100
were O -100
divine O -100
. O -100
The O -100
raspberry O -100
lychee O -100
drink B-ASP -100
was O -100
sweet O -100
and O -100
flavorful O -100
. O -100
The O -100
Vietnamese O -100
eggplant B-ASP Positive
was O -100
delightful O -100
. O -100
Very O -100
lively O -100
friendly O -100
environment O -100
. O -100
The O -100
waitress B-ASP -100
was O -100
knowledgeable O -100
and O -100
helpful O -100
. O -100
Definitely O -100
visit O -100
again O -100
. O -100

Wow O -100
loved O -100
the O -100
food O -100
here O -100
! O -100
The O -100
spring O -100
rolls O -100
were O -100
divine O -100
. O -100
The O -100
raspberry O -100
lychee O -100
drink B-ASP -100
was O -100
sweet O -100
and O -100
flavorful O -100
. O -100
The O -100
Vietnamese O -100
eggplant B-ASP -100
was O -100
delightful O -100
. O -100
Very O -100
lively O -100
friendly O -100
environment O -100
. O -100
The O -100
waitress B-ASP Positive
was O -100
knowledgeable O -100
and O -100
helpful O -100
. O -100
Definitely O -100
visit O -100
again O -100
. O -100

They O -100
are O -100
great O -100
! O -100
They O -100
have O -100
everything O -100
you O -100
can O -100
think O -100
of O -100
. O -100
They O -100
always O -100
give O -100
the O -100
kids O -100
free O -100
hot O -100
dogs O -100
. O -100
They O -100
are O -100
well O -100
priced O -100
and O -100
I O -100
always O -100
get O -100
the O -100
family O -100
pack O -100
bundles O -100
. O -100
They O -100
not O -100
only O -100
have O -100
friendly O -100
workers B-ASP Positive
they O -100
work O -100
hard O -100
to O -100
get O -100
everyone O -100
in O -100
and O -100
out O -100
with O -100
a O -100
smile O -100
and O -100
a O -100
speedy O -100
pace O -100
. O -100
On O -100
another O -100
note O -100
it O -100
smells O -100
AMAZING O -100
inside O -100
. O -100

Granted O -100
it O -100
was O -100
Friday O -100
but O -100
the O -100
wait B-ASP Negative
to O -100
get O -100
drinks O -100
and O -100
food O -100
was O -100
unacceptable O -100
. O -100
We O -100
got O -100
seated B-ASP -100
quickly O -100
but O -100
even O -100
getting O -100
waitress B-ASP -100
to O -100
come O -100
by O -100
was O -100
difficult O -100
. O -100
Had O -100
two O -100
hungry O -100
kids O -100
waiting O -100
. O -100
Messed O -100
up O -100
drink B-ASP -100
order I-ASP -100
. O -100
And O -100
messed O -100
up O -100
food B-ASP -100
order I-ASP -100
. O -100
Staff O -100
may O -100
be O -100
overworked O -100
and O -100
our O -100
waitress O -100
in O -100
particular O -100
did O -100
not O -100
seem O -100
well O -100
versed O -100
in O -100
the O -100
menu O -100
. O -100
As O -100
far O -100
as O -100
food O -100
is O -100
concerned O -100
. O -100
Cheese O -100
enchiladas O -100
tasted O -100
like O -100
kraft O -100
American O -100
cheese O -100
slices O -100
. O -100
Veggie O -100
changa B-ASP -100
was O -100
too O -100
breadth O -100
and O -100
didn O -100
' O -100
t O -100
have O -100
much O -100
flavor O -100
. O -100
Chips B-ASP -100
were O -100
ok O -100
. O -100
Margaritas B-ASP -100
were O -100
way O -100
too O -100
sweet O -100
. O -100
Would O -100
not O -100
go O -100
again O -100
. O -100

Granted O -100
it O -100
was O -100
Friday O -100
but O -100
the O -100
wait B-ASP -100
to O -100
get O -100
drinks O -100
and O -100
food O -100
was O -100
unacceptable O -100
. O -100
We O -100
got O -100
seated B-ASP Positive
quickly O -100
but O -100
even O -100
getting O -100
waitress B-ASP -100
to O -100
come O -100
by O -100
was O -100
difficult O -100
. O -100
Had O -100
two O -100
hungry O -100
kids O -100
waiting O -100
. O -100
Messed O -100
up O -100
drink B-ASP -100
order I-ASP -100
. O -100
And O -100
messed O -100
up O -100
food B-ASP -100
order I-ASP -100
. O -100
Staff O -100
may O -100
be O -100
overworked O -100
and O -100
our O -100
waitress O -100
in O -100
particular O -100
did O -100
not O -100
seem O -100
well O -100
versed O -100
in O -100
the O -100
menu O -100
. O -100
As O -100
far O -100
as O -100
food O -100
is O -100
concerned O -100
. O -100
Cheese O -100
enchiladas O -100
tasted O -100
like O -100
kraft O -100
American O -100
cheese O -100
slices O -100
. O -100
Veggie O -100
changa B-ASP -100
was O -100
too O -100
breadth O -100
and O -100
didn O -100
' O -100
t O -100
have O -100
much O -100
flavor O -100
. O -100
Chips B-ASP -100
were O -100
ok O -100
. O -100
Margaritas B-ASP -100
were O -100
way O -100
too O -100
sweet O -100
. O -100
Would O -100
not O -100
go O -100
again O -100
. O -100

Granted O -100
it O -100
was O -100
Friday O -100
but O -100
the O -100
wait B-ASP -100
to O -100
get O -100
drinks O -100
and O -100
food O -100
was O -100
unacceptable O -100
. O -100
We O -100
got O -100
seated B-ASP -100
quickly O -100
but O -100
even O -100
getting O -100
waitress B-ASP Negative
to O -100
come O -100
by O -100
was O -100
difficult O -100
. O -100
Had O -100
two O -100
hungry O -100
kids O -100
waiting O -100
. O -100
Messed O -100
up O -100
drink B-ASP -100
order I-ASP -100
. O -100
And O -100
messed O -100
up O -100
food B-ASP -100
order I-ASP -100
. O -100
Staff O -100
may O -100
be O -100
overworked O -100
and O -100
our O -100
waitress O -100
in O -100
particular O -100
did O -100
not O -100
seem O -100
well O -100
versed O -100
in O -100
the O -100
menu O -100
. O -100
As O -100
far O -100
as O -100
food O -100
is O -100
concerned O -100
. O -100
Cheese O -100
enchiladas O -100
tasted O -100
like O -100
kraft O -100
American O -100
cheese O -100
slices O -100
. O -100
Veggie O -100
changa B-ASP -100
was O -100
too O -100
breadth O -100
and O -100
didn O -100
' O -100
t O -100
have O -100
much O -100
flavor O -100
. O -100
Chips B-ASP -100
were O -100
ok O -100
. O -100
Margaritas B-ASP -100
were O -100
way O -100
too O -100
sweet O -100
. O -100
Would O -100
not O -100
go O -100
again O -100
. O -100

Granted O -100
it O -100
was O -100
Friday O -100
but O -100
the O -100
wait B-ASP -100
to O -100
get O -100
drinks O -100
and O -100
food O -100
was O -100
unacceptable O -100
. O -100
We O -100
got O -100
seated B-ASP -100
quickly O -100
but O -100
even O -100
getting O -100
waitress B-ASP -100
to O -100
come O -100
by O -100
was O -100
difficult O -100
. O -100
Had O -100
two O -100
hungry O -100
kids O -100
waiting O -100
. O -100
Messed O -100
up O -100
drink B-ASP Negative
order I-ASP Negative
. O -100
And O -100
messed O -100
up O -100
food B-ASP -100
order I-ASP -100
. O -100
Staff O -100
may O -100
be O -100
overworked O -100
and O -100
our O -100
waitress O -100
in O -100
particular O -100
did O -100
not O -100
seem O -100
well O -100
versed O -100
in O -100
the O -100
menu O -100
. O -100
As O -100
far O -100
as O -100
food O -100
is O -100
concerned O -100
. O -100
Cheese O -100
enchiladas O -100
tasted O -100
like O -100
kraft O -100
American O -100
cheese O -100
slices O -100
. O -100
Veggie O -100
changa B-ASP -100
was O -100
too O -100
breadth O -100
and O -100
didn O -100
' O -100
t O -100
have O -100
much O -100
flavor O -100
. O -100
Chips B-ASP -100
were O -100
ok O -100
. O -100
Margaritas B-ASP -100
were O -100
way O -100
too O -100
sweet O -100
. O -100
Would O -100
not O -100
go O -100
again O -100
. O -100

Granted O -100
it O -100
was O -100
Friday O -100
but O -100
the O -100
wait B-ASP -100
to O -100
get O -100
drinks O -100
and O -100
food O -100
was O -100
unacceptable O -100
. O -100
We O -100
got O -100
seated B-ASP -100
quickly O -100
but O -100
even O -100
getting O -100
waitress B-ASP -100
to O -100
come O -100
by O -100
was O -100
difficult O -100
. O -100
Had O -100
two O -100
hungry O -100
kids O -100
waiting O -100
. O -100
Messed O -100
up O -100
drink B-ASP -100
order I-ASP -100
. O -100
And O -100
messed O -100
up O -100
food B-ASP Negative
order I-ASP Negative
. O -100
Staff O -100
may O -100
be O -100
overworked O -100
and O -100
our O -100
waitress O -100
in O -100
particular O -100
did O -100
not O -100
seem O -100
well O -100
versed O -100
in O -100
the O -100
menu O -100
. O -100
As O -100
far O -100
as O -100
food O -100
is O -100
concerned O -100
. O -100
Cheese O -100
enchiladas O -100
tasted O -100
like O -100
kraft O -100
American O -100
cheese O -100
slices O -100
. O -100
Veggie O -100
changa B-ASP -100
was O -100
too O -100
breadth O -100
and O -100
didn O -100
' O -100
t O -100
have O -100
much O -100
flavor O -100
. O -100
Chips B-ASP -100
were O -100
ok O -100
. O -100
Margaritas B-ASP -100
were O -100
way O -100
too O -100
sweet O -100
. O -100
Would O -100
not O -100
go O -100
again O -100
. O -100

Granted O -100
it O -100
was O -100
Friday O -100
but O -100
the O -100
wait B-ASP -100
to O -100
get O -100
drinks O -100
and O -100
food O -100
was O -100
unacceptable O -100
. O -100
We O -100
got O -100
seated B-ASP -100
quickly O -100
but O -100
even O -100
getting O -100
waitress B-ASP -100
to O -100
come O -100
by O -100
was O -100
difficult O -100
. O -100
Had O -100
two O -100
hungry O -100
kids O -100
waiting O -100
. O -100
Messed O -100
up O -100
drink B-ASP -100
order I-ASP -100
. O -100
And O -100
messed O -100
up O -100
food B-ASP -100
order I-ASP -100
. O -100
Staff O -100
may O -100
be O -100
overworked O -100
and O -100
our O -100
waitress O -100
in O -100
particular O -100
did O -100
not O -100
seem O -100
well O -100
versed O -100
in O -100
the O -100
menu O -100
. O -100
As O -100
far O -100
as O -100
food O -100
is O -100
concerned O -100
. O -100
Cheese O -100
enchiladas O -100
tasted O -100
like O -100
kraft O -100
American O -100
cheese O -100
slices O -100
. O -100
Veggie O -100
changa B-ASP Negative
was O -100
too O -100
breadth O -100
and O -100
didn O -100
' O -100
t O -100
have O -100
much O -100
flavor O -100
. O -100
Chips B-ASP -100
were O -100
ok O -100
. O -100
Margaritas B-ASP -100
were O -100
way O -100
too O -100
sweet O -100
. O -100
Would O -100
not O -100
go O -100
again O -100
. O -100

Granted O -100
it O -100
was O -100
Friday O -100
but O -100
the O -100
wait B-ASP -100
to O -100
get O -100
drinks O -100
and O -100
food O -100
was O -100
unacceptable O -100
. O -100
We O -100
got O -100
seated B-ASP -100
quickly O -100
but O -100
even O -100
getting O -100
waitress B-ASP -100
to O -100
come O -100
by O -100
was O -100
difficult O -100
. O -100
Had O -100
two O -100
hungry O -100
kids O -100
waiting O -100
. O -100
Messed O -100
up O -100
drink B-ASP -100
order I-ASP -100
. O -100
And O -100
messed O -100
up O -100
food B-ASP -100
order I-ASP -100
. O -100
Staff O -100
may O -100
be O -100
overworked O -100
and O -100
our O -100
waitress O -100
in O -100
particular O -100
did O -100
not O -100
seem O -100
well O -100
versed O -100
in O -100
the O -100
menu O -100
. O -100
As O -100
far O -100
as O -100
food O -100
is O -100
concerned O -100
. O -100
Cheese O -100
enchiladas O -100
tasted O -100
like O -100
kraft O -100
American O -100
cheese O -100
slices O -100
. O -100
Veggie O -100
changa B-ASP -100
was O -100
too O -100
breadth O -100
and O -100
didn O -100
' O -100
t O -100
have O -100
much O -100
flavor O -100
. O -100
Chips B-ASP Neutral
were O -100
ok O -100
. O -100
Margaritas B-ASP -100
were O -100
way O -100
too O -100
sweet O -100
. O -100
Would O -100
not O -100
go O -100
again O -100
. O -100

Granted O -100
it O -100
was O -100
Friday O -100
but O -100
the O -100
wait B-ASP -100
to O -100
get O -100
drinks O -100
and O -100
food O -100
was O -100
unacceptable O -100
. O -100
We O -100
got O -100
seated B-ASP -100
quickly O -100
but O -100
even O -100
getting O -100
waitress B-ASP -100
to O -100
come O -100
by O -100
was O -100
difficult O -100
. O -100
Had O -100
two O -100
hungry O -100
kids O -100
waiting O -100
. O -100
Messed O -100
up O -100
drink B-ASP -100
order I-ASP -100
. O -100
And O -100
messed O -100
up O -100
food B-ASP -100
order I-ASP -100
. O -100
Staff O -100
may O -100
be O -100
overworked O -100
and O -100
our O -100
waitress O -100
in O -100
particular O -100
did O -100
not O -100
seem O -100
well O -100
versed O -100
in O -100
the O -100
menu O -100
. O -100
As O -100
far O -100
as O -100
food O -100
is O -100
concerned O -100
. O -100
Cheese O -100
enchiladas O -100
tasted O -100
like O -100
kraft O -100
American O -100
cheese O -100
slices O -100
. O -100
Veggie O -100
changa B-ASP -100
was O -100
too O -100
breadth O -100
and O -100
didn O -100
' O -100
t O -100
have O -100
much O -100
flavor O -100
. O -100
Chips B-ASP -100
were O -100
ok O -100
. O -100
Margaritas B-ASP Negative
were O -100
way O -100
too O -100
sweet O -100
. O -100
Would O -100
not O -100
go O -100
again O -100
. O -100

Wine B-ASP Negative
tastings O -100
have O -100
a O -100
lot O -100
of O -100
sweet O -100
white O -100
and O -100
reds O -100
. O -100
I O -100
wish O -100
they O -100
had O -100
more O -100
dry O -100
options O -100
but O -100
overall O -100
this O -100
place O -100
is O -100
awesome O -100
for O -100
drinks B-ASP -100
, O -100
apps B-ASP -100
, O -100
and O -100
full B-ASP -100
courses I-ASP -100
. O -100
I O -100
havent O -100
had O -100
dessert O -100
just O -100
yet O -100
but O -100
that O -100
just O -100
gives O -100
me O -100
another O -100
excuse O -100
to O -100
go O -100
back O -100
: O -100
) O -100
. O -100

Wine B-ASP -100
tastings O -100
have O -100
a O -100
lot O -100
of O -100
sweet O -100
white O -100
and O -100
reds O -100
. O -100
I O -100
wish O -100
they O -100
had O -100
more O -100
dry O -100
options O -100
but O -100
overall O -100
this O -100
place O -100
is O -100
awesome O -100
for O -100
drinks B-ASP Positive
, O -100
apps B-ASP -100
, O -100
and O -100
full B-ASP -100
courses I-ASP -100
. O -100
I O -100
havent O -100
had O -100
dessert O -100
just O -100
yet O -100
but O -100
that O -100
just O -100
gives O -100
me O -100
another O -100
excuse O -100
to O -100
go O -100
back O -100
: O -100
) O -100
. O -100

Wine B-ASP -100
tastings O -100
have O -100
a O -100
lot O -100
of O -100
sweet O -100
white O -100
and O -100
reds O -100
. O -100
I O -100
wish O -100
they O -100
had O -100
more O -100
dry O -100
options O -100
but O -100
overall O -100
this O -100
place O -100
is O -100
awesome O -100
for O -100
drinks B-ASP -100
, O -100
apps B-ASP Positive
, O -100
and O -100
full B-ASP -100
courses I-ASP -100
. O -100
I O -100
havent O -100
had O -100
dessert O -100
just O -100
yet O -100
but O -100
that O -100
just O -100
gives O -100
me O -100
another O -100
excuse O -100
to O -100
go O -100
back O -100
: O -100
) O -100
. O -100

Wine B-ASP -100
tastings O -100
have O -100
a O -100
lot O -100
of O -100
sweet O -100
white O -100
and O -100
reds O -100
. O -100
I O -100
wish O -100
they O -100
had O -100
more O -100
dry O -100
options O -100
but O -100
overall O -100
this O -100
place O -100
is O -100
awesome O -100
for O -100
drinks B-ASP -100
, O -100
apps B-ASP -100
, O -100
and O -100
full B-ASP Positive
courses I-ASP Positive
. O -100
I O -100
havent O -100
had O -100
dessert O -100
just O -100
yet O -100
but O -100
that O -100
just O -100
gives O -100
me O -100
another O -100
excuse O -100
to O -100
go O -100
back O -100
: O -100
) O -100
. O -100

We O -100
received O -100
terrible O -100
service B-ASP Negative
when O -100
we O -100
ordered O -100
at O -100
Sweet O -100
Mamas O -100
today O -100
. O -100
We O -100
told O -100
the O -100
server O -100
we O -100
were O -100
on O -100
lunch O -100
break O -100
and O -100
we O -100
come O -100
from O -100
a O -100
company O -100
that O -100
is O -100
right O -100
down O -100
the O -100
road O -100
that O -100
always O -100
orders O -100
there O -100
so O -100
they B-ASP -100
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We O -100
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My O -100
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With O -100
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The O -100
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a O -100
bit O -100
bland O -100
and O -100
the O -100
crust O -100
on O -100
both O -100
was O -100
hard O -100
and O -100
even O -100
down O -100
right O -100
hard O -100
to O -100
cut O -100
through O -100
. O -100
Maybe O -100
we O -100
came O -100
at O -100
a O -100
bad O -100
time O -100
and O -100
the O -100
pies B-ASP -100
weren O -100
' O -100
t O -100
freshly O -100
made O -100
. O -100
Time O -100
will O -100
tell O -100
if O -100
we O -100
get O -100
another O -100
chance O -100
to O -100
try O -100
. O -100

With O -100
a O -100
suggestion O -100
from O -100
a O -100
friend O -100
on O -100
a O -100
place O -100
to O -100
get O -100
some O -100
dessert O -100
we O -100
went O -100
to O -100
Random O -100
Order O -100
Pie O -100
Bar O -100
. O -100
The O -100
location B-ASP -100
is O -100
small O -100
and O -100
cozy O -100
. O -100
The O -100
staff B-ASP Positive
was O -100
pleasant O -100
and O -100
friendly O -100
. O -100
Unfortunately O -100
, O -100
the O -100
one O -100
thing O -100
they O -100
are O -100
known O -100
for O -100
was O -100
a O -100
bit O -100
off O -100
. O -100
My O -100
son O -100
and O -100
I O -100
had O -100
a O -100
slice O -100
of O -100
banana O -100
cream O -100
and O -100
coconut O -100
cream O -100
. O -100
The O -100
banana B-ASP -100
cream I-ASP -100
was O -100
the O -100
better O -100
of O -100
the O -100
two O -100
. O -100
The O -100
coconut B-ASP -100
was O -100
a O -100
bit O -100
bland O -100
and O -100
the O -100
crust O -100
on O -100
both O -100
was O -100
hard O -100
and O -100
even O -100
down O -100
right O -100
hard O -100
to O -100
cut O -100
through O -100
. O -100
Maybe O -100
we O -100
came O -100
at O -100
a O -100
bad O -100
time O -100
and O -100
the O -100
pies B-ASP -100
weren O -100
' O -100
t O -100
freshly O -100
made O -100
. O -100
Time O -100
will O -100
tell O -100
if O -100
we O -100
get O -100
another O -100
chance O -100
to O -100
try O -100
. O -100

With O -100
a O -100
suggestion O -100
from O -100
a O -100
friend O -100
on O -100
a O -100
place O -100
to O -100
get O -100
some O -100
dessert O -100
we O -100
went O -100
to O -100
Random O -100
Order O -100
Pie O -100
Bar O -100
. O -100
The O -100
location B-ASP -100
is O -100
small O -100
and O -100
cozy O -100
. O -100
The O -100
staff B-ASP -100
was O -100
pleasant O -100
and O -100
friendly O -100
. O -100
Unfortunately O -100
, O -100
the O -100
one O -100
thing O -100
they O -100
are O -100
known O -100
for O -100
was O -100
a O -100
bit O -100
off O -100
. O -100
My O -100
son O -100
and O -100
I O -100
had O -100
a O -100
slice O -100
of O -100
banana O -100
cream O -100
and O -100
coconut O -100
cream O -100
. O -100
The O -100
banana B-ASP Neutral
cream I-ASP Neutral
was O -100
the O -100
better O -100
of O -100
the O -100
two O -100
. O -100
The O -100
coconut B-ASP -100
was O -100
a O -100
bit O -100
bland O -100
and O -100
the O -100
crust O -100
on O -100
both O -100
was O -100
hard O -100
and O -100
even O -100
down O -100
right O -100
hard O -100
to O -100
cut O -100
through O -100
. O -100
Maybe O -100
we O -100
came O -100
at O -100
a O -100
bad O -100
time O -100
and O -100
the O -100
pies B-ASP -100
weren O -100
' O -100
t O -100
freshly O -100
made O -100
. O -100
Time O -100
will O -100
tell O -100
if O -100
we O -100
get O -100
another O -100
chance O -100
to O -100
try O -100
. O -100

With O -100
a O -100
suggestion O -100
from O -100
a O -100
friend O -100
on O -100
a O -100
place O -100
to O -100
get O -100
some O -100
dessert O -100
we O -100
went O -100
to O -100
Random O -100
Order O -100
Pie O -100
Bar O -100
. O -100
The O -100
location B-ASP -100
is O -100
small O -100
and O -100
cozy O -100
. O -100
The O -100
staff B-ASP -100
was O -100
pleasant O -100
and O -100
friendly O -100
. O -100
Unfortunately O -100
, O -100
the O -100
one O -100
thing O -100
they O -100
are O -100
known O -100
for O -100
was O -100
a O -100
bit O -100
off O -100
. O -100
My O -100
son O -100
and O -100
I O -100
had O -100
a O -100
slice O -100
of O -100
banana O -100
cream O -100
and O -100
coconut O -100
cream O -100
. O -100
The O -100
banana B-ASP -100
cream I-ASP -100
was O -100
the O -100
better O -100
of O -100
the O -100
two O -100
. O -100
The O -100
coconut B-ASP Negative
was O -100
a O -100
bit O -100
bland O -100
and O -100
the O -100
crust O -100
on O -100
both O -100
was O -100
hard O -100
and O -100
even O -100
down O -100
right O -100
hard O -100
to O -100
cut O -100
through O -100
. O -100
Maybe O -100
we O -100
came O -100
at O -100
a O -100
bad O -100
time O -100
and O -100
the O -100
pies B-ASP -100
weren O -100
' O -100
t O -100
freshly O -100
made O -100
. O -100
Time O -100
will O -100
tell O -100
if O -100
we O -100
get O -100
another O -100
chance O -100
to O -100
try O -100
. O -100

With O -100
a O -100
suggestion O -100
from O -100
a O -100
friend O -100
on O -100
a O -100
place O -100
to O -100
get O -100
some O -100
dessert O -100
we O -100
went O -100
to O -100
Random O -100
Order O -100
Pie O -100
Bar O -100
. O -100
The O -100
location B-ASP -100
is O -100
small O -100
and O -100
cozy O -100
. O -100
The O -100
staff B-ASP -100
was O -100
pleasant O -100
and O -100
friendly O -100
. O -100
Unfortunately O -100
, O -100
the O -100
one O -100
thing O -100
they O -100
are O -100
known O -100
for O -100
was O -100
a O -100
bit O -100
off O -100
. O -100
My O -100
son O -100
and O -100
I O -100
had O -100
a O -100
slice O -100
of O -100
banana O -100
cream O -100
and O -100
coconut O -100
cream O -100
. O -100
The O -100
banana B-ASP -100
cream I-ASP -100
was O -100
the O -100
better O -100
of O -100
the O -100
two O -100
. O -100
The O -100
coconut B-ASP -100
was O -100
a O -100
bit O -100
bland O -100
and O -100
the O -100
crust O -100
on O -100
both O -100
was O -100
hard O -100
and O -100
even O -100
down O -100
right O -100
hard O -100
to O -100
cut O -100
through O -100
. O -100
Maybe O -100
we O -100
came O -100
at O -100
a O -100
bad O -100
time O -100
and O -100
the O -100
pies B-ASP Negative
weren O -100
' O -100
t O -100
freshly O -100
made O -100
. O -100
Time O -100
will O -100
tell O -100
if O -100
we O -100
get O -100
another O -100
chance O -100
to O -100
try O -100
. O -100

I O -100
usually O -100
go O -100
into O -100
places O -100
like O -100
chilis O -100
with O -100
pretty O -100
low O -100
expectations O -100
. O -100
I O -100
worked O -100
at O -100
a O -100
chilis O -100
for O -100
many O -100
years O -100
so O -100
I O -100
understand O -100
the O -100
food O -100
quality O -100
and O -100
what O -100
to O -100
expect O -100
from O -100
a O -100
place O -100
like O -100
this O -100
. O -100
I O -100
' O -100
m O -100
not O -100
sure O -100
if O -100
this O -100
location O -100
is O -100
a O -100
franchise O -100
or O -100
not O -100
, O -100
but O -100
it O -100
was O -100
just O -100
horrible O -100
. O -100
From O -100
the O -100
service B-ASP Negative
to O -100
the O -100
food B-ASP -100
presentation O -100
to O -100
the O -100
taste O -100
, O -100
just O -100
ew O -100
! O -100
I O -100
always O -100
order O -100
a O -100
margarita O -100
, O -100
queso O -100
dip O -100
and O -100
a O -100
quesadilla O -100
explosion O -100
salad O -100
. O -100
Being O -100
that O -100
this O -100
is O -100
always O -100
my O -100
order O -100
, O -100
I O -100
' O -100
ve O -100
come O -100
to O -100
know O -100
what O -100
to O -100
expect O -100
, O -100
but O -100
this O -100
meal O -100
almost O -100
seemed O -100
like O -100
it O -100
was O -100
someone O -100
trying O -100
to O -100
replicate O -100
( O -100
unsuccessfully O -100
) O -100
the O -100
chilis O -100
' O -100
recipes O -100
. O -100
The O -100
queso B-ASP -100
dip I-ASP -100
was O -100
like O -100
warm O -100
and O -100
thick O -100
. O -100
The O -100
consistency O -100
was O -100
grainy O -100
instead O -100
of O -100
creamy O -100
and O -100
it B-ASP -100
just O -100
didn O -100
' O -100
t O -100
taste O -100
good O -100
. O -100
The O -100
quesadilla O -100
salad O -100
was O -100
thrown O -100
onto O -100
the O -100
place O -100
and O -100
looked O -100
like O -100
someone O -100
had O -100
bumped O -100
the O -100
plate O -100
or O -100
almost O -100
dropped O -100
it O -100
or O -100
something O -100
. O -100
The O -100
chicken B-ASP -100
was O -100
thick O -100
and O -100
rubbery O -100
. O -100
I O -100
know O -100
this O -100
place O -100
is O -100
in O -100
tourist O -100
central O -100
so O -100
maybe O -100
they O -100
don O -100
' O -100
t O -100
have O -100
to O -100
pay O -100
much O -100
attention O -100
to O -100
quality O -100
on O -100
account O -100
that O -100
people O -100
will O -100
come O -100
regardless O -100
because O -100
they O -100
won O -100
' O -100
t O -100
know O -100
, O -100
but O -100
we O -100
definitely O -100
won O -100
' O -100
t O -100
be O -100
back O -100
here O -100
! O -100
The O -100
chilis O -100
on O -100
I O -100
drive O -100
is O -100
much O -100
more O -100
consistent O -100
! O -100
It O -100
' O -100
s O -100
a O -100
little O -100
more O -100
of O -100
a O -100
drive O -100
, O -100
but O -100
it O -100
' O -100
s O -100
worth O -100
it O -100
. O -100

I O -100
usually O -100
go O -100
into O -100
places O -100
like O -100
chilis O -100
with O -100
pretty O -100
low O -100
expectations O -100
. O -100
I O -100
worked O -100
at O -100
a O -100
chilis O -100
for O -100
many O -100
years O -100
so O -100
I O -100
understand O -100
the O -100
food O -100
quality O -100
and O -100
what O -100
to O -100
expect O -100
from O -100
a O -100
place O -100
like O -100
this O -100
. O -100
I O -100
' O -100
m O -100
not O -100
sure O -100
if O -100
this O -100
location O -100
is O -100
a O -100
franchise O -100
or O -100
not O -100
, O -100
but O -100
it O -100
was O -100
just O -100
horrible O -100
. O -100
From O -100
the O -100
service B-ASP -100
to O -100
the O -100
food B-ASP Negative
presentation O -100
to O -100
the O -100
taste O -100
, O -100
just O -100
ew O -100
! O -100
I O -100
always O -100
order O -100
a O -100
margarita O -100
, O -100
queso O -100
dip O -100
and O -100
a O -100
quesadilla O -100
explosion O -100
salad O -100
. O -100
Being O -100
that O -100
this O -100
is O -100
always O -100
my O -100
order O -100
, O -100
I O -100
' O -100
ve O -100
come O -100
to O -100
know O -100
what O -100
to O -100
expect O -100
, O -100
but O -100
this O -100
meal O -100
almost O -100
seemed O -100
like O -100
it O -100
was O -100
someone O -100
trying O -100
to O -100
replicate O -100
( O -100
unsuccessfully O -100
) O -100
the O -100
chilis O -100
' O -100
recipes O -100
. O -100
The O -100
queso B-ASP -100
dip I-ASP -100
was O -100
like O -100
warm O -100
and O -100
thick O -100
. O -100
The O -100
consistency O -100
was O -100
grainy O -100
instead O -100
of O -100
creamy O -100
and O -100
it B-ASP -100
just O -100
didn O -100
' O -100
t O -100
taste O -100
good O -100
. O -100
The O -100
quesadilla O -100
salad O -100
was O -100
thrown O -100
onto O -100
the O -100
place O -100
and O -100
looked O -100
like O -100
someone O -100
had O -100
bumped O -100
the O -100
plate O -100
or O -100
almost O -100
dropped O -100
it O -100
or O -100
something O -100
. O -100
The O -100
chicken B-ASP -100
was O -100
thick O -100
and O -100
rubbery O -100
. O -100
I O -100
know O -100
this O -100
place O -100
is O -100
in O -100
tourist O -100
central O -100
so O -100
maybe O -100
they O -100
don O -100
' O -100
t O -100
have O -100
to O -100
pay O -100
much O -100
attention O -100
to O -100
quality O -100
on O -100
account O -100
that O -100
people O -100
will O -100
come O -100
regardless O -100
because O -100
they O -100
won O -100
' O -100
t O -100
know O -100
, O -100
but O -100
we O -100
definitely O -100
won O -100
' O -100
t O -100
be O -100
back O -100
here O -100
! O -100
The O -100
chilis O -100
on O -100
I O -100
drive O -100
is O -100
much O -100
more O -100
consistent O -100
! O -100
It O -100
' O -100
s O -100
a O -100
little O -100
more O -100
of O -100
a O -100
drive O -100
, O -100
but O -100
it O -100
' O -100
s O -100
worth O -100
it O -100
. O -100

I O -100
usually O -100
go O -100
into O -100
places O -100
like O -100
chilis O -100
with O -100
pretty O -100
low O -100
expectations O -100
. O -100
I O -100
worked O -100
at O -100
a O -100
chilis O -100
for O -100
many O -100
years O -100
so O -100
I O -100
understand O -100
the O -100
food O -100
quality O -100
and O -100
what O -100
to O -100
expect O -100
from O -100
a O -100
place O -100
like O -100
this O -100
. O -100
I O -100
' O -100
m O -100
not O -100
sure O -100
if O -100
this O -100
location O -100
is O -100
a O -100
franchise O -100
or O -100
not O -100
, O -100
but O -100
it O -100
was O -100
just O -100
horrible O -100
. O -100
From O -100
the O -100
service B-ASP -100
to O -100
the O -100
food B-ASP -100
presentation O -100
to O -100
the O -100
taste O -100
, O -100
just O -100
ew O -100
! O -100
I O -100
always O -100
order O -100
a O -100
margarita O -100
, O -100
queso O -100
dip O -100
and O -100
a O -100
quesadilla O -100
explosion O -100
salad O -100
. O -100
Being O -100
that O -100
this O -100
is O -100
always O -100
my O -100
order O -100
, O -100
I O -100
' O -100
ve O -100
come O -100
to O -100
know O -100
what O -100
to O -100
expect O -100
, O -100
but O -100
this O -100
meal O -100
almost O -100
seemed O -100
like O -100
it O -100
was O -100
someone O -100
trying O -100
to O -100
replicate O -100
( O -100
unsuccessfully O -100
) O -100
the O -100
chilis O -100
' O -100
recipes O -100
. O -100
The O -100
queso B-ASP Negative
dip I-ASP Negative
was O -100
like O -100
warm O -100
and O -100
thick O -100
. O -100
The O -100
consistency O -100
was O -100
grainy O -100
instead O -100
of O -100
creamy O -100
and O -100
it B-ASP -100
just O -100
didn O -100
' O -100
t O -100
taste O -100
good O -100
. O -100
The O -100
quesadilla O -100
salad O -100
was O -100
thrown O -100
onto O -100
the O -100
place O -100
and O -100
looked O -100
like O -100
someone O -100
had O -100
bumped O -100
the O -100
plate O -100
or O -100
almost O -100
dropped O -100
it O -100
or O -100
something O -100
. O -100
The O -100
chicken B-ASP -100
was O -100
thick O -100
and O -100
rubbery O -100
. O -100
I O -100
know O -100
this O -100
place O -100
is O -100
in O -100
tourist O -100
central O -100
so O -100
maybe O -100
they O -100
don O -100
' O -100
t O -100
have O -100
to O -100
pay O -100
much O -100
attention O -100
to O -100
quality O -100
on O -100
account O -100
that O -100
people O -100
will O -100
come O -100
regardless O -100
because O -100
they O -100
won O -100
' O -100
t O -100
know O -100
, O -100
but O -100
we O -100
definitely O -100
won O -100
' O -100
t O -100
be O -100
back O -100
here O -100
! O -100
The O -100
chilis O -100
on O -100
I O -100
drive O -100
is O -100
much O -100
more O -100
consistent O -100
! O -100
It O -100
' O -100
s O -100
a O -100
little O -100
more O -100
of O -100
a O -100
drive O -100
, O -100
but O -100
it O -100
' O -100
s O -100
worth O -100
it O -100
. O -100

I O -100
usually O -100
go O -100
into O -100
places O -100
like O -100
chilis O -100
with O -100
pretty O -100
low O -100
expectations O -100
. O -100
I O -100
worked O -100
at O -100
a O -100
chilis O -100
for O -100
many O -100
years O -100
so O -100
I O -100
understand O -100
the O -100
food O -100
quality O -100
and O -100
what O -100
to O -100
expect O -100
from O -100
a O -100
place O -100
like O -100
this O -100
. O -100
I O -100
' O -100
m O -100
not O -100
sure O -100
if O -100
this O -100
location O -100
is O -100
a O -100
franchise O -100
or O -100
not O -100
, O -100
but O -100
it O -100
was O -100
just O -100
horrible O -100
. O -100
From O -100
the O -100
service B-ASP -100
to O -100
the O -100
food B-ASP -100
presentation O -100
to O -100
the O -100
taste O -100
, O -100
just O -100
ew O -100
! O -100
I O -100
always O -100
order O -100
a O -100
margarita O -100
, O -100
queso O -100
dip O -100
and O -100
a O -100
quesadilla O -100
explosion O -100
salad O -100
. O -100
Being O -100
that O -100
this O -100
is O -100
always O -100
my O -100
order O -100
, O -100
I O -100
' O -100
ve O -100
come O -100
to O -100
know O -100
what O -100
to O -100
expect O -100
, O -100
but O -100
this O -100
meal O -100
almost O -100
seemed O -100
like O -100
it O -100
was O -100
someone O -100
trying O -100
to O -100
replicate O -100
( O -100
unsuccessfully O -100
) O -100
the O -100
chilis O -100
' O -100
recipes O -100
. O -100
The O -100
queso B-ASP -100
dip I-ASP -100
was O -100
like O -100
warm O -100
and O -100
thick O -100
. O -100
The O -100
consistency O -100
was O -100
grainy O -100
instead O -100
of O -100
creamy O -100
and O -100
it B-ASP Negative
just O -100
didn O -100
' O -100
t O -100
taste O -100
good O -100
. O -100
The O -100
quesadilla O -100
salad O -100
was O -100
thrown O -100
onto O -100
the O -100
place O -100
and O -100
looked O -100
like O -100
someone O -100
had O -100
bumped O -100
the O -100
plate O -100
or O -100
almost O -100
dropped O -100
it O -100
or O -100
something O -100
. O -100
The O -100
chicken B-ASP -100
was O -100
thick O -100
and O -100
rubbery O -100
. O -100
I O -100
know O -100
this O -100
place O -100
is O -100
in O -100
tourist O -100
central O -100
so O -100
maybe O -100
they O -100
don O -100
' O -100
t O -100
have O -100
to O -100
pay O -100
much O -100
attention O -100
to O -100
quality O -100
on O -100
account O -100
that O -100
people O -100
will O -100
come O -100
regardless O -100
because O -100
they O -100
won O -100
' O -100
t O -100
know O -100
, O -100
but O -100
we O -100
definitely O -100
won O -100
' O -100
t O -100
be O -100
back O -100
here O -100
! O -100
The O -100
chilis O -100
on O -100
I O -100
drive O -100
is O -100
much O -100
more O -100
consistent O -100
! O -100
It O -100
' O -100
s O -100
a O -100
little O -100
more O -100
of O -100
a O -100
drive O -100
, O -100
but O -100
it O -100
' O -100
s O -100
worth O -100
it O -100
. O -100

I O -100
usually O -100
go O -100
into O -100
places O -100
like O -100
chilis O -100
with O -100
pretty O -100
low O -100
expectations O -100
. O -100
I O -100
worked O -100
at O -100
a O -100
chilis O -100
for O -100
many O -100
years O -100
so O -100
I O -100
understand O -100
the O -100
food O -100
quality O -100
and O -100
what O -100
to O -100
expect O -100
from O -100
a O -100
place O -100
like O -100
this O -100
. O -100
I O -100
' O -100
m O -100
not O -100
sure O -100
if O -100
this O -100
location O -100
is O -100
a O -100
franchise O -100
or O -100
not O -100
, O -100
but O -100
it O -100
was O -100
just O -100
horrible O -100
. O -100
From O -100
the O -100
service B-ASP -100
to O -100
the O -100
food B-ASP -100
presentation O -100
to O -100
the O -100
taste O -100
, O -100
just O -100
ew O -100
! O -100
I O -100
always O -100
order O -100
a O -100
margarita O -100
, O -100
queso O -100
dip O -100
and O -100
a O -100
quesadilla O -100
explosion O -100
salad O -100
. O -100
Being O -100
that O -100
this O -100
is O -100
always O -100
my O -100
order O -100
, O -100
I O -100
' O -100
ve O -100
come O -100
to O -100
know O -100
what O -100
to O -100
expect O -100
, O -100
but O -100
this O -100
meal O -100
almost O -100
seemed O -100
like O -100
it O -100
was O -100
someone O -100
trying O -100
to O -100
replicate O -100
( O -100
unsuccessfully O -100
) O -100
the O -100
chilis O -100
' O -100
recipes O -100
. O -100
The O -100
queso B-ASP -100
dip I-ASP -100
was O -100
like O -100
warm O -100
and O -100
thick O -100
. O -100
The O -100
consistency O -100
was O -100
grainy O -100
instead O -100
of O -100
creamy O -100
and O -100
it B-ASP -100
just O -100
didn O -100
' O -100
t O -100
taste O -100
good O -100
. O -100
The O -100
quesadilla O -100
salad O -100
was O -100
thrown O -100
onto O -100
the O -100
place O -100
and O -100
looked O -100
like O -100
someone O -100
had O -100
bumped O -100
the O -100
plate O -100
or O -100
almost O -100
dropped O -100
it O -100
or O -100
something O -100
. O -100
The O -100
chicken B-ASP Negative
was O -100
thick O -100
and O -100
rubbery O -100
. O -100
I O -100
know O -100
this O -100
place O -100
is O -100
in O -100
tourist O -100
central O -100
so O -100
maybe O -100
they O -100
don O -100
' O -100
t O -100
have O -100
to O -100
pay O -100
much O -100
attention O -100
to O -100
quality O -100
on O -100
account O -100
that O -100
people O -100
will O -100
come O -100
regardless O -100
because O -100
they O -100
won O -100
' O -100
t O -100
know O -100
, O -100
but O -100
we O -100
definitely O -100
won O -100
' O -100
t O -100
be O -100
back O -100
here O -100
! O -100
The O -100
chilis O -100
on O -100
I O -100
drive O -100
is O -100
much O -100
more O -100
consistent O -100
! O -100
It O -100
' O -100
s O -100
a O -100
little O -100
more O -100
of O -100
a O -100
drive O -100
, O -100
but O -100
it O -100
' O -100
s O -100
worth O -100
it O -100
. O -100

I O -100
came O -100
here O -100
after O -100
a O -100
bruins O -100
game O -100
, O -100
loved O -100
it O -100
. O -100
Poutine B-ASP Positive
is O -100
one O -100
of O -100
my O -100
all O -100
time O -100
favorite O -100
foods O -100
and O -100
this O -100
is O -100
the O -100
best O -100
I O -100
have O -100
had O -100
in O -100
Boston O -100
. O -100
They O -100
have O -100
a O -100
decent O -100
beer B-ASP -100
selection O -100
as O -100
well O -100
. O -100
Only O -100
complaint O -100
would O -100
have O -100
been O -100
the O -100
poutine B-ASP -100
could O -100
have O -100
used O -100
a O -100
little O -100
more O -100
gravy O -100
, O -100
was O -100
dry O -100
once O -100
I O -100
got O -100
to O -100
the O -100
bottom O -100
. O -100

I O -100
came O -100
here O -100
after O -100
a O -100
bruins O -100
game O -100
, O -100
loved O -100
it O -100
. O -100
Poutine B-ASP -100
is O -100
one O -100
of O -100
my O -100
all O -100
time O -100
favorite O -100
foods O -100
and O -100
this O -100
is O -100
the O -100
best O -100
I O -100
have O -100
had O -100
in O -100
Boston O -100
. O -100
They O -100
have O -100
a O -100
decent O -100
beer B-ASP Positive
selection O -100
as O -100
well O -100
. O -100
Only O -100
complaint O -100
would O -100
have O -100
been O -100
the O -100
poutine B-ASP -100
could O -100
have O -100
used O -100
a O -100
little O -100
more O -100
gravy O -100
, O -100
was O -100
dry O -100
once O -100
I O -100
got O -100
to O -100
the O -100
bottom O -100
. O -100

I O -100
came O -100
here O -100
after O -100
a O -100
bruins O -100
game O -100
, O -100
loved O -100
it O -100
. O -100
Poutine B-ASP -100
is O -100
one O -100
of O -100
my O -100
all O -100
time O -100
favorite O -100
foods O -100
and O -100
this O -100
is O -100
the O -100
best O -100
I O -100
have O -100
had O -100
in O -100
Boston O -100
. O -100
They O -100
have O -100
a O -100
decent O -100
beer B-ASP -100
selection O -100
as O -100
well O -100
. O -100
Only O -100
complaint O -100
would O -100
have O -100
been O -100
the O -100
poutine B-ASP Neutral
could O -100
have O -100
used O -100
a O -100
little O -100
more O -100
gravy O -100
, O -100
was O -100
dry O -100
once O -100
I O -100
got O -100
to O -100
the O -100
bottom O -100
. O -100

Try O -100
the O -100
grilled O -100
tips O -100
, O -100
turkey O -100
or O -100
steak O -100
. O -100
The O -100
char B-ASP Positive
on O -100
them O -100
is O -100
awesome O -100
. O -100
The O -100
wings B-ASP -100
are O -100
better O -100
than O -100
average O -100
and O -100
the O -100
service B-ASP -100
is O -100
top O -100
notch O -100
. O -100

Try O -100
the O -100
grilled O -100
tips O -100
, O -100
turkey O -100
or O -100
steak O -100
. O -100
The O -100
char B-ASP -100
on O -100
them O -100
is O -100
awesome O -100
. O -100
The O -100
wings B-ASP Positive
are O -100
better O -100
than O -100
average O -100
and O -100
the O -100
service B-ASP -100
is O -100
top O -100
notch O -100
. O -100

Try O -100
the O -100
grilled O -100
tips O -100
, O -100
turkey O -100
or O -100
steak O -100
. O -100
The O -100
char B-ASP -100
on O -100
them O -100
is O -100
awesome O -100
. O -100
The O -100
wings B-ASP -100
are O -100
better O -100
than O -100
average O -100
and O -100
the O -100
service B-ASP Positive
is O -100
top O -100
notch O -100
. O -100

My O -100
husband O -100
is O -100
from O -100
Bolivia O -100
and O -100
needless O -100
to O -100
say O -100
he O -100
doesn O -100
' O -100
t O -100
get O -100
very O -100
many O -100
opportunities O -100
to O -100
have O -100
the O -100
food O -100
he O -100
grew O -100
up O -100
on O -100
here O -100
in O -100
Boston O -100
. O -100
We O -100
' O -100
ve O -100
found O -100
a O -100
few O -100
places O -100
here O -100
and O -100
there O -100
. O -100
. O -100
. O -100
a O -100
place O -100
in O -100
San O -100
Francisco O -100
( O -100
which O -100
has O -100
since O -100
closed O -100
down O -100
) O -100
and O -100
a O -100
good O -100
place O -100
in O -100
Miami O -100
but O -100
we O -100
had O -100
pretty O -100
much O -100
given O -100
up O -100
hope O -100
around O -100
here O -100
. O -100
Enter O -100
( O -100
of O -100
all O -100
places O -100
. O -100
. O -100
. O -100
) O -100
Que O -100
Padre O -100
. O -100
When O -100
I O -100
first O -100
told O -100
him O -100
that O -100
it O -100
opened O -100
and O -100
that O -100
they O -100
had O -100
bolivian O -100
food O -100
he O -100
laughed O -100
because O -100
he O -100
thought O -100
I O -100
was O -100
kidding O -100
( O -100
" O -100
A O -100
Mexican O -100
place O -100
. O -100
. O -100
. O -100
. O -100
reallyy O -100
? O -100
? O -100
) O -100
. O -100
. O -100
. O -100
. O -100
But O -100
we O -100
went O -100
and O -100
met O -100
the O -100
owner O -100
and O -100
then O -100
downed O -100
a O -100
good O -100
7 O -100
9 O -100
beef O -100
saltenas O -100
hot O -100
and O -100
fresh O -100
out O -100
of O -100
the O -100
oven O -100
. O -100
I O -100
' O -100
m O -100
no O -100
expert O -100
but O -100
I O -100
think O -100
they B-ASP Positive
' O -100
re O -100
the O -100
best O -100
ones B-ASP -100
I O -100
' O -100
ve O -100
ever O -100
had O -100
. O -100
. O -100
. O -100
but O -100
the O -100
honey O -100
was O -100
so O -100
happy O -100
. O -100
. O -100
. O -100
and O -100
for O -100
that O -100
alone O -100
we O -100
will O -100
be O -100
back O -100
many O -100
many O -100
more O -100
times O -100
. O -100
Perfect O -100
crust B-ASP -100
. O -100
So O -100
hot O -100
and O -100
juicy O -100
. O -100
A O -100
little O -100
hot O -100
sauce B-ASP -100
. O -100
. O -100
. O -100
and O -100
magic O -100
happens O -100
. O -100
: O -100
) O -100

My O -100
husband O -100
is O -100
from O -100
Bolivia O -100
and O -100
needless O -100
to O -100
say O -100
he O -100
doesn O -100
' O -100
t O -100
get O -100
very O -100
many O -100
opportunities O -100
to O -100
have O -100
the O -100
food O -100
he O -100
grew O -100
up O -100
on O -100
here O -100
in O -100
Boston O -100
. O -100
We O -100
' O -100
ve O -100
found O -100
a O -100
few O -100
places O -100
here O -100
and O -100
there O -100
. O -100
. O -100
. O -100
a O -100
place O -100
in O -100
San O -100
Francisco O -100
( O -100
which O -100
has O -100
since O -100
closed O -100
down O -100
) O -100
and O -100
a O -100
good O -100
place O -100
in O -100
Miami O -100
but O -100
we O -100
had O -100
pretty O -100
much O -100
given O -100
up O -100
hope O -100
around O -100
here O -100
. O -100
Enter O -100
( O -100
of O -100
all O -100
places O -100
. O -100
. O -100
. O -100
) O -100
Que O -100
Padre O -100
. O -100
When O -100
I O -100
first O -100
told O -100
him O -100
that O -100
it O -100
opened O -100
and O -100
that O -100
they O -100
had O -100
bolivian O -100
food O -100
he O -100
laughed O -100
because O -100
he O -100
thought O -100
I O -100
was O -100
kidding O -100
( O -100
" O -100
A O -100
Mexican O -100
place O -100
. O -100
. O -100
. O -100
. O -100
reallyy O -100
? O -100
? O -100
) O -100
. O -100
. O -100
. O -100
. O -100
But O -100
we O -100
went O -100
and O -100
met O -100
the O -100
owner O -100
and O -100
then O -100
downed O -100
a O -100
good O -100
7 O -100
9 O -100
beef O -100
saltenas O -100
hot O -100
and O -100
fresh O -100
out O -100
of O -100
the O -100
oven O -100
. O -100
I O -100
' O -100
m O -100
no O -100
expert O -100
but O -100
I O -100
think O -100
they B-ASP -100
' O -100
re O -100
the O -100
best O -100
ones B-ASP Positive
I O -100
' O -100
ve O -100
ever O -100
had O -100
. O -100
. O -100
. O -100
but O -100
the O -100
honey O -100
was O -100
so O -100
happy O -100
. O -100
. O -100
. O -100
and O -100
for O -100
that O -100
alone O -100
we O -100
will O -100
be O -100
back O -100
many O -100
many O -100
more O -100
times O -100
. O -100
Perfect O -100
crust B-ASP -100
. O -100
So O -100
hot O -100
and O -100
juicy O -100
. O -100
A O -100
little O -100
hot O -100
sauce B-ASP -100
. O -100
. O -100
. O -100
and O -100
magic O -100
happens O -100
. O -100
: O -100
) O -100

My O -100
husband O -100
is O -100
from O -100
Bolivia O -100
and O -100
needless O -100
to O -100
say O -100
he O -100
doesn O -100
' O -100
t O -100
get O -100
very O -100
many O -100
opportunities O -100
to O -100
have O -100
the O -100
food O -100
he O -100
grew O -100
up O -100
on O -100
here O -100
in O -100
Boston O -100
. O -100
We O -100
' O -100
ve O -100
found O -100
a O -100
few O -100
places O -100
here O -100
and O -100
there O -100
. O -100
. O -100
. O -100
a O -100
place O -100
in O -100
San O -100
Francisco O -100
( O -100
which O -100
has O -100
since O -100
closed O -100
down O -100
) O -100
and O -100
a O -100
good O -100
place O -100
in O -100
Miami O -100
but O -100
we O -100
had O -100
pretty O -100
much O -100
given O -100
up O -100
hope O -100
around O -100
here O -100
. O -100
Enter O -100
( O -100
of O -100
all O -100
places O -100
. O -100
. O -100
. O -100
) O -100
Que O -100
Padre O -100
. O -100
When O -100
I O -100
first O -100
told O -100
him O -100
that O -100
it O -100
opened O -100
and O -100
that O -100
they O -100
had O -100
bolivian O -100
food O -100
he O -100
laughed O -100
because O -100
he O -100
thought O -100
I O -100
was O -100
kidding O -100
( O -100
" O -100
A O -100
Mexican O -100
place O -100
. O -100
. O -100
. O -100
. O -100
reallyy O -100
? O -100
? O -100
) O -100
. O -100
. O -100
. O -100
. O -100
But O -100
we O -100
went O -100
and O -100
met O -100
the O -100
owner O -100
and O -100
then O -100
downed O -100
a O -100
good O -100
7 O -100
9 O -100
beef O -100
saltenas O -100
hot O -100
and O -100
fresh O -100
out O -100
of O -100
the O -100
oven O -100
. O -100
I O -100
' O -100
m O -100
no O -100
expert O -100
but O -100
I O -100
think O -100
they B-ASP -100
' O -100
re O -100
the O -100
best O -100
ones B-ASP -100
I O -100
' O -100
ve O -100
ever O -100
had O -100
. O -100
. O -100
. O -100
but O -100
the O -100
honey O -100
was O -100
so O -100
happy O -100
. O -100
. O -100
. O -100
and O -100
for O -100
that O -100
alone O -100
we O -100
will O -100
be O -100
back O -100
many O -100
many O -100
more O -100
times O -100
. O -100
Perfect O -100
crust B-ASP Positive
. O -100
So O -100
hot O -100
and O -100
juicy O -100
. O -100
A O -100
little O -100
hot O -100
sauce B-ASP -100
. O -100
. O -100
. O -100
and O -100
magic O -100
happens O -100
. O -100
: O -100
) O -100

My O -100
husband O -100
is O -100
from O -100
Bolivia O -100
and O -100
needless O -100
to O -100
say O -100
he O -100
doesn O -100
' O -100
t O -100
get O -100
very O -100
many O -100
opportunities O -100
to O -100
have O -100
the O -100
food O -100
he O -100
grew O -100
up O -100
on O -100
here O -100
in O -100
Boston O -100
. O -100
We O -100
' O -100
ve O -100
found O -100
a O -100
few O -100
places O -100
here O -100
and O -100
there O -100
. O -100
. O -100
. O -100
a O -100
place O -100
in O -100
San O -100
Francisco O -100
( O -100
which O -100
has O -100
since O -100
closed O -100
down O -100
) O -100
and O -100
a O -100
good O -100
place O -100
in O -100
Miami O -100
but O -100
we O -100
had O -100
pretty O -100
much O -100
given O -100
up O -100
hope O -100
around O -100
here O -100
. O -100
Enter O -100
( O -100
of O -100
all O -100
places O -100
. O -100
. O -100
. O -100
) O -100
Que O -100
Padre O -100
. O -100
When O -100
I O -100
first O -100
told O -100
him O -100
that O -100
it O -100
opened O -100
and O -100
that O -100
they O -100
had O -100
bolivian O -100
food O -100
he O -100
laughed O -100
because O -100
he O -100
thought O -100
I O -100
was O -100
kidding O -100
( O -100
" O -100
A O -100
Mexican O -100
place O -100
. O -100
. O -100
. O -100
. O -100
reallyy O -100
? O -100
? O -100
) O -100
. O -100
. O -100
. O -100
. O -100
But O -100
we O -100
went O -100
and O -100
met O -100
the O -100
owner O -100
and O -100
then O -100
downed O -100
a O -100
good O -100
7 O -100
9 O -100
beef O -100
saltenas O -100
hot O -100
and O -100
fresh O -100
out O -100
of O -100
the O -100
oven O -100
. O -100
I O -100
' O -100
m O -100
no O -100
expert O -100
but O -100
I O -100
think O -100
they B-ASP -100
' O -100
re O -100
the O -100
best O -100
ones B-ASP -100
I O -100
' O -100
ve O -100
ever O -100
had O -100
. O -100
. O -100
. O -100
but O -100
the O -100
honey O -100
was O -100
so O -100
happy O -100
. O -100
. O -100
. O -100
and O -100
for O -100
that O -100
alone O -100
we O -100
will O -100
be O -100
back O -100
many O -100
many O -100
more O -100
times O -100
. O -100
Perfect O -100
crust B-ASP -100
. O -100
So O -100
hot O -100
and O -100
juicy O -100
. O -100
A O -100
little O -100
hot O -100
sauce B-ASP Positive
. O -100
. O -100
. O -100
and O -100
magic O -100
happens O -100
. O -100
: O -100
) O -100

By O -100
popular O -100
demand O -100
and O -100
( O -100
for O -100
science O -100
! O -100
) O -100
my O -100
beer O -100
list O -100
, O -100
I O -100
made O -100
a O -100
special O -100
visit O -100
to O -100
Grape O -100
Vine O -100
Market O -100
today O -100
. O -100
I O -100
must O -100
say O -100
, O -100
I O -100
was O -100
by O -100
no O -100
means O -100
disappointed O -100
in O -100
what O -100
they O -100
had O -100
to O -100
offer O -100
! O -100
Thanks O -100
for O -100
the O -100
suggestions O -100
, O -100
everyone O -100
! O -100
One O -100
of O -100
the O -100
first O -100
things O -100
I O -100
noticed O -100
upon O -100
perusing O -100
the O -100
beer O -100
selection O -100
is O -100
the O -100
availability O -100
of O -100
Real O -100
Ale O -100
Fireman O -100
' O -100
s O -100
# O -100
4 O -100
in O -100
bottles O -100
. O -100
Whoo O -100
hoo O -100
! O -100
Real O -100
Ale O -100
has O -100
only O -100
recently O -100
began O -100
to O -100
bottle O -100
this O -100
fabulous O -100
, O -100
light O -100
beer O -100
. O -100
. O -100
. O -100
one O -100
of O -100
my O -100
Austin O -100
favs O -100
. O -100
The O -100
beer B-ASP Positive
variety O -100
is O -100
phenomenal O -100
, O -100
I O -100
was O -100
astounded O -100
, O -100
almost O -100
to O -100
the O -100
point O -100
of O -100
tears O -100
upon O -100
exploring O -100
the O -100
aisle O -100
. O -100
The O -100
beers O -100
are O -100
arranged O -100
by O -100
location O -100
, O -100
it O -100
seems O -100
. O -100
There O -100
' O -100
s O -100
an O -100
Austin O -100
/ O -100
Texas O -100
area O -100
, O -100
moving O -100
into O -100
a O -100
US O -100
microbrew O -100
ish O -100
area O -100
. O -100
Across O -100
the O -100
aisle O -100
are O -100
the O -100
imports O -100
from O -100
Italy O -100
, O -100
Canada O -100
, O -100
Holland O -100
, O -100
Germany O -100
, O -100
and O -100
the O -100
like O -100
. O -100
The O -100
Asian O -100
beers O -100
were O -100
off O -100
in O -100
another O -100
aisle O -100
, O -100
across O -100
from O -100
the O -100
oh O -100
so O -100
yucky O -100
Anheiser O -100
Busch O -100
products O -100
and O -100
the O -100
like O -100
. O -100
There O -100
was O -100
also O -100
a O -100
somewhat O -100
impressive O -100
selection O -100
of O -100
Mexican O -100
beers O -100
. O -100
I O -100
was O -100
overwhelmed O -100
by O -100
the O -100
wine O -100
selections O -100
. O -100
They O -100
have O -100
everything O -100
that O -100
your O -100
oenophile O -100
heart O -100
could O -100
ever O -100
desire O -100
. O -100
Since O -100
I O -100
was O -100
looking O -100
for O -100
nothing O -100
specific O -100
, O -100
I O -100
had O -100
no O -100
reason O -100
to O -100
ask O -100
help O -100
of O -100
any O -100
of O -100
the O -100
associates O -100
. O -100
Come O -100
to O -100
think O -100
of O -100
it O -100
, O -100
I O -100
didn O -100
' O -100
t O -100
really O -100
see O -100
any O -100
associates O -100
, O -100
save O -100
for O -100
the O -100
registers O -100
and O -100
at O -100
the O -100
deli O -100
. O -100
There O -100
is O -100
also O -100
a O -100
section O -100
of O -100
finer O -100
foods O -100
and O -100
libation O -100
accessories O -100
. O -100
Briefly O -100
looking O -100
through O -100
them O -100
, O -100
I O -100
was O -100
impressed O -100
by O -100
the O -100
wine O -100
selection O -100
of O -100
wine O -100
racks O -100
( O -100
I O -100
wish O -100
I O -100
would O -100
' O -100
ve O -100
known O -100
about O -100
this O -100
place O -100
when O -100
I O -100
bought O -100
mine O -100
) O -100
and O -100
candies O -100
. O -100
Yum O -100
! O -100
Unfortunately O -100
, O -100
but O -100
my O -100
liver O -100
probably O -100
thanks O -100
me O -100
, O -100
I O -100
was O -100
financially O -100
unable O -100
to O -100
purchase O -100
anything O -100
. O -100
I O -100
will O -100
definately O -100
be O -100
back O -100
soon O -100
, O -100
perhaps O -100
even O -100
the O -100
day O -100
I O -100
get O -100
paid O -100
next O -100
! O -100

This O -100
place O -100
is O -100
great O -100
! O -100
The O -100
coffee B-ASP Neutral
is O -100
strong O -100
, O -100
the O -100
owner B-ASP -100
is O -100
friendly O -100
, O -100
and O -100
the O -100
decor B-ASP -100
is O -100
really O -100
cute O -100
. O -100
So O -100
glad O -100
I O -100
found O -100
it O -100
! O -100

This O -100
place O -100
is O -100
great O -100
! O -100
The O -100
coffee B-ASP -100
is O -100
strong O -100
, O -100
the O -100
owner B-ASP Positive
is O -100
friendly O -100
, O -100
and O -100
the O -100
decor B-ASP -100
is O -100
really O -100
cute O -100
. O -100
So O -100
glad O -100
I O -100
found O -100
it O -100
! O -100

This O -100
place O -100
is O -100
great O -100
! O -100
The O -100
coffee B-ASP -100
is O -100
strong O -100
, O -100
the O -100
owner B-ASP -100
is O -100
friendly O -100
, O -100
and O -100
the O -100
decor B-ASP Positive
is O -100
really O -100
cute O -100
. O -100
So O -100
glad O -100
I O -100
found O -100
it O -100
! O -100

I O -100
' O -100
m O -100
not O -100
a O -100
huge O -100
fan O -100
of O -100
chains O -100
but O -100
I O -100
actually O -100
enjoy O -100
this O -100
one O -100
. O -100
The O -100
salad B-ASP Positive
selection O -100
is O -100
always O -100
fresh O -100
and O -100
sometimes O -100
new O -100
. O -100
( O -100
I O -100
did O -100
finally O -100
have O -100
to O -100
admit O -100
I O -100
don O -100
' O -100
t O -100
care O -100
for O -100
quinoa O -100
after O -100
this O -100
visit O -100
but O -100
it O -100
was O -100
of O -100
no O -100
fault O -100
of O -100
the O -100
restaurant O -100
. O -100
) O -100
Each O -100
time O -100
I O -100
' O -100
ve O -100
been O -100
in O -100
the O -100
staff B-ASP -100
and O -100
been O -100
very O -100
friendly O -100
and O -100
helpful O -100
. O -100
I O -100
try O -100
to O -100
make O -100
it O -100
here O -100
at O -100
least O -100
once O -100
a O -100
month O -100
. O -100

I O -100
' O -100
m O -100
not O -100
a O -100
huge O -100
fan O -100
of O -100
chains O -100
but O -100
I O -100
actually O -100
enjoy O -100
this O -100
one O -100
. O -100
The O -100
salad B-ASP -100
selection O -100
is O -100
always O -100
fresh O -100
and O -100
sometimes O -100
new O -100
. O -100
( O -100
I O -100
did O -100
finally O -100
have O -100
to O -100
admit O -100
I O -100
don O -100
' O -100
t O -100
care O -100
for O -100
quinoa O -100
after O -100
this O -100
visit O -100
but O -100
it O -100
was O -100
of O -100
no O -100
fault O -100
of O -100
the O -100
restaurant O -100
. O -100
) O -100
Each O -100
time O -100
I O -100
' O -100
ve O -100
been O -100
in O -100
the O -100
staff B-ASP Positive
and O -100
been O -100
very O -100
friendly O -100
and O -100
helpful O -100
. O -100
I O -100
try O -100
to O -100
make O -100
it O -100
here O -100
at O -100
least O -100
once O -100
a O -100
month O -100
. O -100

Good O -100
experience O -100
at O -100
Barista O -100
: O -100
nice O -100
ambiance B-ASP Positive
, O -100
good O -100
service B-ASP -100
. O -100
However O -100
, O -100
the O -100
coffee B-ASP -100
was O -100
a O -100
bit O -100
underwhelming O -100
and O -100
in O -100
my O -100
opinion O -100
a O -100
bit O -100
overpriced O -100
for O -100
the O -100
quality O -100
. O -100

Good O -100
experience O -100
at O -100
Barista O -100
: O -100
nice O -100
ambiance B-ASP -100
, O -100
good O -100
service B-ASP Positive
. O -100
However O -100
, O -100
the O -100
coffee B-ASP -100
was O -100
a O -100
bit O -100
underwhelming O -100
and O -100
in O -100
my O -100
opinion O -100
a O -100
bit O -100
overpriced O -100
for O -100
the O -100
quality O -100
. O -100

Good O -100
experience O -100
at O -100
Barista O -100
: O -100
nice O -100
ambiance B-ASP -100
, O -100
good O -100
service B-ASP -100
. O -100
However O -100
, O -100
the O -100
coffee B-ASP Negative
was O -100
a O -100
bit O -100
underwhelming O -100
and O -100
in O -100
my O -100
opinion O -100
a O -100
bit O -100
overpriced O -100
for O -100
the O -100
quality O -100
. O -100

The O -100
food B-ASP Positive
is O -100
amazing O -100
. O -100
Try O -100
the O -100
mixed O -100
grill O -100
with O -100
the O -100
yogurt O -100
garlic O -100
sauce O -100
. O -100
And O -100
you O -100
must O -100
get O -100
the O -100
hot O -100
puffed O -100
bread O -100
and O -100
hummus O -100
. O -100
We O -100
always O -100
have O -100
great O -100
food O -100
when O -100
we O -100
eat O -100
here O -100
and O -100
even O -100
though O -100
we O -100
live O -100
in O -100
Sarasota O -100
, O -100
we O -100
always O -100
make O -100
a O -100
point O -100
to O -100
eat O -100
here O -100
when O -100
we O -100
' O -100
re O -100
in O -100
town O -100
. O -100
I O -100
gave O -100
4 O -100
stars O -100
because O -100
everything O -100
is O -100
great O -100
, O -100
food B-ASP -100
and O -100
service B-ASP -100
, O -100
but O -100
the O -100
restaurant B-ASP -100
really O -100
needs O -100
to O -100
be O -100
dusted O -100
. O -100
The O -100
dusty O -100
mirror O -100
and O -100
shelves O -100
were O -100
in O -100
great O -100
need O -100
of O -100
a O -100
thorough O -100
cleaning O -100
. O -100

The O -100
food B-ASP -100
is O -100
amazing O -100
. O -100
Try O -100
the O -100
mixed O -100
grill O -100
with O -100
the O -100
yogurt O -100
garlic O -100
sauce O -100
. O -100
And O -100
you O -100
must O -100
get O -100
the O -100
hot O -100
puffed O -100
bread O -100
and O -100
hummus O -100
. O -100
We O -100
always O -100
have O -100
great O -100
food O -100
when O -100
we O -100
eat O -100
here O -100
and O -100
even O -100
though O -100
we O -100
live O -100
in O -100
Sarasota O -100
, O -100
we O -100
always O -100
make O -100
a O -100
point O -100
to O -100
eat O -100
here O -100
when O -100
we O -100
' O -100
re O -100
in O -100
town O -100
. O -100
I O -100
gave O -100
4 O -100
stars O -100
because O -100
everything O -100
is O -100
great O -100
, O -100
food B-ASP Positive
and O -100
service B-ASP -100
, O -100
but O -100
the O -100
restaurant B-ASP -100
really O -100
needs O -100
to O -100
be O -100
dusted O -100
. O -100
The O -100
dusty O -100
mirror O -100
and O -100
shelves O -100
were O -100
in O -100
great O -100
need O -100
of O -100
a O -100
thorough O -100
cleaning O -100
. O -100

The O -100
food B-ASP -100
is O -100
amazing O -100
. O -100
Try O -100
the O -100
mixed O -100
grill O -100
with O -100
the O -100
yogurt O -100
garlic O -100
sauce O -100
. O -100
And O -100
you O -100
must O -100
get O -100
the O -100
hot O -100
puffed O -100
bread O -100
and O -100
hummus O -100
. O -100
We O -100
always O -100
have O -100
great O -100
food O -100
when O -100
we O -100
eat O -100
here O -100
and O -100
even O -100
though O -100
we O -100
live O -100
in O -100
Sarasota O -100
, O -100
we O -100
always O -100
make O -100
a O -100
point O -100
to O -100
eat O -100
here O -100
when O -100
we O -100
' O -100
re O -100
in O -100
town O -100
. O -100
I O -100
gave O -100
4 O -100
stars O -100
because O -100
everything O -100
is O -100
great O -100
, O -100
food B-ASP -100
and O -100
service B-ASP Positive
, O -100
but O -100
the O -100
restaurant B-ASP -100
really O -100
needs O -100
to O -100
be O -100
dusted O -100
. O -100
The O -100
dusty O -100
mirror O -100
and O -100
shelves O -100
were O -100
in O -100
great O -100
need O -100
of O -100
a O -100
thorough O -100
cleaning O -100
. O -100

The O -100
food B-ASP -100
is O -100
amazing O -100
. O -100
Try O -100
the O -100
mixed O -100
grill O -100
with O -100
the O -100
yogurt O -100
garlic O -100
sauce O -100
. O -100
And O -100
you O -100
must O -100
get O -100
the O -100
hot O -100
puffed O -100
bread O -100
and O -100
hummus O -100
. O -100
We O -100
always O -100
have O -100
great O -100
food O -100
when O -100
we O -100
eat O -100
here O -100
and O -100
even O -100
though O -100
we O -100
live O -100
in O -100
Sarasota O -100
, O -100
we O -100
always O -100
make O -100
a O -100
point O -100
to O -100
eat O -100
here O -100
when O -100
we O -100
' O -100
re O -100
in O -100
town O -100
. O -100
I O -100
gave O -100
4 O -100
stars O -100
because O -100
everything O -100
is O -100
great O -100
, O -100
food B-ASP -100
and O -100
service B-ASP -100
, O -100
but O -100
the O -100
restaurant B-ASP Negative
really O -100
needs O -100
to O -100
be O -100
dusted O -100
. O -100
The O -100
dusty O -100
mirror O -100
and O -100
shelves O -100
were O -100
in O -100
great O -100
need O -100
of O -100
a O -100
thorough O -100
cleaning O -100
. O -100

In O -100
the O -100
crazy O -100
weather O -100
of O -100
today O -100
( O -100
lower O -100
50 O -100
' O -100
s O -100
with O -100
wind O -100
and O -100
rain O -100
) O -100
, O -100
omg O -100
. O -100
. O -100
. O -100
This O -100
stuff B-ASP Positive
definitely O -100
hit O -100
the O -100
spot O -100
. O -100
= O -100
) O -100
It O -100
was O -100
amazing O -100
. O -100
. O -100
. O -100
and O -100
i O -100
always O -100
forget O -100
how O -100
much O -100
i O -100
can O -100
actually O -100
eat O -100
until O -100
I O -100
come O -100
here O -100
. O -100
YUM O -100
! O -100
It B-ASP -100
' O -100
s O -100
only O -100
a O -100
bit O -100
expensive O -100
for O -100
my O -100
taste O -100
. O -100
. O -100
. O -100
however O -100
, O -100
it B-ASP -100
was O -100
worth O -100
every O -100
single O -100
penny O -100
, O -100
especially O -100
on O -100
a O -100
day O -100
like O -100
today O -100
. O -100

In O -100
the O -100
crazy O -100
weather O -100
of O -100
today O -100
( O -100
lower O -100
50 O -100
' O -100
s O -100
with O -100
wind O -100
and O -100
rain O -100
) O -100
, O -100
omg O -100
. O -100
. O -100
. O -100
This O -100
stuff B-ASP -100
definitely O -100
hit O -100
the O -100
spot O -100
. O -100
= O -100
) O -100
It O -100
was O -100
amazing O -100
. O -100
. O -100
. O -100
and O -100
i O -100
always O -100
forget O -100
how O -100
much O -100
i O -100
can O -100
actually O -100
eat O -100
until O -100
I O -100
come O -100
here O -100
. O -100
YUM O -100
! O -100
It B-ASP Negative
' O -100
s O -100
only O -100
a O -100
bit O -100
expensive O -100
for O -100
my O -100
taste O -100
. O -100
. O -100
. O -100
however O -100
, O -100
it B-ASP -100
was O -100
worth O -100
every O -100
single O -100
penny O -100
, O -100
especially O -100
on O -100
a O -100
day O -100
like O -100
today O -100
. O -100

In O -100
the O -100
crazy O -100
weather O -100
of O -100
today O -100
( O -100
lower O -100
50 O -100
' O -100
s O -100
with O -100
wind O -100
and O -100
rain O -100
) O -100
, O -100
omg O -100
. O -100
. O -100
. O -100
This O -100
stuff B-ASP -100
definitely O -100
hit O -100
the O -100
spot O -100
. O -100
= O -100
) O -100
It O -100
was O -100
amazing O -100
. O -100
. O -100
. O -100
and O -100
i O -100
always O -100
forget O -100
how O -100
much O -100
i O -100
can O -100
actually O -100
eat O -100
until O -100
I O -100
come O -100
here O -100
. O -100
YUM O -100
! O -100
It B-ASP -100
' O -100
s O -100
only O -100
a O -100
bit O -100
expensive O -100
for O -100
my O -100
taste O -100
. O -100
. O -100
. O -100
however O -100
, O -100
it B-ASP Positive
was O -100
worth O -100
every O -100
single O -100
penny O -100
, O -100
especially O -100
on O -100
a O -100
day O -100
like O -100
today O -100
. O -100

I O -100
used O -100
to O -100
be O -100
literally O -100
the O -100
world O -100
' O -100
s O -100
biggest O -100
Milestones O -100
fan O -100
. O -100
I O -100
eat O -100
out O -100
3 O -100
4 O -100
times O -100
a O -100
week O -100
and O -100
I O -100
came O -100
to O -100
this O -100
location O -100
very O -100
often O -100
. O -100
Unfortunately O -100
, O -100
they O -100
used O -100
to O -100
have O -100
a O -100
great O -100
menu O -100
but O -100
most O -100
of O -100
that O -100
is O -100
gone O -100
and O -100
even O -100
though O -100
the O -100
staff B-ASP Positive
are O -100
great O -100
, O -100
the O -100
food B-ASP -100
has O -100
gotten O -100
consistently O -100
worse O -100
and O -100
worse O -100
. O -100
I O -100
had O -100
three O -100
bad O -100
meals O -100
here O -100
in O -100
a O -100
row O -100
before O -100
I O -100
finally O -100
decided O -100
to O -100
pack O -100
it O -100
in O -100
and O -100
say O -100
good O -100
bye O -100
. O -100
It O -100
doesn O -100
' O -100
t O -100
matter O -100
what O -100
you O -100
order O -100
, O -100
the O -100
quality O -100
of O -100
the O -100
ingredients B-ASP -100
has O -100
gotten O -100
worse O -100
and O -100
the O -100
kitchen O -100
staff O -100
seemingly O -100
doesn O -100
' O -100
t O -100
care O -100
. O -100
I O -100
' O -100
m O -100
not O -100
sure O -100
if O -100
I O -100
' O -100
m O -100
allowed O -100
to O -100
mention O -100
other O -100
restaurants O -100
, O -100
but O -100
there O -100
' O -100
s O -100
another O -100
chain O -100
restaurant O -100
a O -100
block O -100
away O -100
that O -100
has O -100
been O -100
improving O -100
their O -100
menu O -100
recently O -100
and O -100
they O -100
' O -100
ve O -100
earned O -100
my O -100
loyalty O -100
now O -100
. O -100
It O -100
' O -100
s O -100
a O -100
shame O -100
though O -100
because O -100
I O -100
often O -100
recommended O -100
Milestones O -100
to O -100
other O -100
people O -100
and O -100
now O -100
I O -100
' O -100
m O -100
forced O -100
to O -100
do O -100
the O -100
exact O -100
opposite O -100
. O -100

I O -100
used O -100
to O -100
be O -100
literally O -100
the O -100
world O -100
' O -100
s O -100
biggest O -100
Milestones O -100
fan O -100
. O -100
I O -100
eat O -100
out O -100
3 O -100
4 O -100
times O -100
a O -100
week O -100
and O -100
I O -100
came O -100
to O -100
this O -100
location O -100
very O -100
often O -100
. O -100
Unfortunately O -100
, O -100
they O -100
used O -100
to O -100
have O -100
a O -100
great O -100
menu O -100
but O -100
most O -100
of O -100
that O -100
is O -100
gone O -100
and O -100
even O -100
though O -100
the O -100
staff B-ASP -100
are O -100
great O -100
, O -100
the O -100
food B-ASP Negative
has O -100
gotten O -100
consistently O -100
worse O -100
and O -100
worse O -100
. O -100
I O -100
had O -100
three O -100
bad O -100
meals O -100
here O -100
in O -100
a O -100
row O -100
before O -100
I O -100
finally O -100
decided O -100
to O -100
pack O -100
it O -100
in O -100
and O -100
say O -100
good O -100
bye O -100
. O -100
It O -100
doesn O -100
' O -100
t O -100
matter O -100
what O -100
you O -100
order O -100
, O -100
the O -100
quality O -100
of O -100
the O -100
ingredients B-ASP -100
has O -100
gotten O -100
worse O -100
and O -100
the O -100
kitchen O -100
staff O -100
seemingly O -100
doesn O -100
' O -100
t O -100
care O -100
. O -100
I O -100
' O -100
m O -100
not O -100
sure O -100
if O -100
I O -100
' O -100
m O -100
allowed O -100
to O -100
mention O -100
other O -100
restaurants O -100
, O -100
but O -100
there O -100
' O -100
s O -100
another O -100
chain O -100
restaurant O -100
a O -100
block O -100
away O -100
that O -100
has O -100
been O -100
improving O -100
their O -100
menu O -100
recently O -100
and O -100
they O -100
' O -100
ve O -100
earned O -100
my O -100
loyalty O -100
now O -100
. O -100
It O -100
' O -100
s O -100
a O -100
shame O -100
though O -100
because O -100
I O -100
often O -100
recommended O -100
Milestones O -100
to O -100
other O -100
people O -100
and O -100
now O -100
I O -100
' O -100
m O -100
forced O -100
to O -100
do O -100
the O -100
exact O -100
opposite O -100
. O -100

I O -100
used O -100
to O -100
be O -100
literally O -100
the O -100
world O -100
' O -100
s O -100
biggest O -100
Milestones O -100
fan O -100
. O -100
I O -100
eat O -100
out O -100
3 O -100
4 O -100
times O -100
a O -100
week O -100
and O -100
I O -100
came O -100
to O -100
this O -100
location O -100
very O -100
often O -100
. O -100
Unfortunately O -100
, O -100
they O -100
used O -100
to O -100
have O -100
a O -100
great O -100
menu O -100
but O -100
most O -100
of O -100
that O -100
is O -100
gone O -100
and O -100
even O -100
though O -100
the O -100
staff B-ASP -100
are O -100
great O -100
, O -100
the O -100
food B-ASP -100
has O -100
gotten O -100
consistently O -100
worse O -100
and O -100
worse O -100
. O -100
I O -100
had O -100
three O -100
bad O -100
meals O -100
here O -100
in O -100
a O -100
row O -100
before O -100
I O -100
finally O -100
decided O -100
to O -100
pack O -100
it O -100
in O -100
and O -100
say O -100
good O -100
bye O -100
. O -100
It O -100
doesn O -100
' O -100
t O -100
matter O -100
what O -100
you O -100
order O -100
, O -100
the O -100
quality O -100
of O -100
the O -100
ingredients B-ASP Negative
has O -100
gotten O -100
worse O -100
and O -100
the O -100
kitchen O -100
staff O -100
seemingly O -100
doesn O -100
' O -100
t O -100
care O -100
. O -100
I O -100
' O -100
m O -100
not O -100
sure O -100
if O -100
I O -100
' O -100
m O -100
allowed O -100
to O -100
mention O -100
other O -100
restaurants O -100
, O -100
but O -100
there O -100
' O -100
s O -100
another O -100
chain O -100
restaurant O -100
a O -100
block O -100
away O -100
that O -100
has O -100
been O -100
improving O -100
their O -100
menu O -100
recently O -100
and O -100
they O -100
' O -100
ve O -100
earned O -100
my O -100
loyalty O -100
now O -100
. O -100
It O -100
' O -100
s O -100
a O -100
shame O -100
though O -100
because O -100
I O -100
often O -100
recommended O -100
Milestones O -100
to O -100
other O -100
people O -100
and O -100
now O -100
I O -100
' O -100
m O -100
forced O -100
to O -100
do O -100
the O -100
exact O -100
opposite O -100
. O -100

This O -100
place O -100
is O -100
an O -100
interesting O -100
combo O -100
. O -100
The O -100
chef B-ASP Positive
, O -100
David O -100
is O -100
incredible O -100
. O -100
When O -100
he O -100
is O -100
cooking O -100
the O -100
food B-ASP -100
is O -100
perfect O -100
and O -100
I O -100
have O -100
tasted O -100
few O -100
breakfast O -100
creations O -100
better O -100
than O -100
his O -100
. O -100
However O -100
, O -100
he O -100
is O -100
beyond O -100
overworked O -100
an O -100
on O -100
his O -100
day O -100
off O -100
the O -100
food O -100
quality O -100
suffers O -100
dramatically O -100
. O -100
The O -100
service B-ASP -100
is O -100
unprofessional O -100
and O -100
neglectful O -100
so O -100
you O -100
know O -100
how O -100
good O -100
the O -100
food O -100
must O -100
be O -100
because O -100
despite O -100
the O -100
large O -100
amount O -100
of O -100
cons O -100
the O -100
food O -100
that O -100
David O -100
( O -100
typically O -100
) O -100
constructs O -100
outweighs O -100
them O -100
. O -100
Hopefully O -100
the O -100
owner O -100
knows O -100
that O -100
whatever O -100
success O -100
she O -100
has O -100
achieved O -100
is O -100
because O -100
of O -100
this O -100
chef O -100
and O -100
she O -100
hangs O -100
on O -100
tight O -100
. O -100
However O -100
, O -100
for O -100
his O -100
sake O -100
I O -100
hope O -100
he O -100
flys O -100
where O -100
his O -100
talent O -100
can O -100
be O -100
surrounded O -100
with O -100
equal O -100
talents O -100
or O -100
at O -100
least O -100
basic O -100
professionalism O -100
. O -100

This O -100
place O -100
is O -100
an O -100
interesting O -100
combo O -100
. O -100
The O -100
chef B-ASP -100
, O -100
David O -100
is O -100
incredible O -100
. O -100
When O -100
he O -100
is O -100
cooking O -100
the O -100
food B-ASP Positive
is O -100
perfect O -100
and O -100
I O -100
have O -100
tasted O -100
few O -100
breakfast O -100
creations O -100
better O -100
than O -100
his O -100
. O -100
However O -100
, O -100
he O -100
is O -100
beyond O -100
overworked O -100
an O -100
on O -100
his O -100
day O -100
off O -100
the O -100
food O -100
quality O -100
suffers O -100
dramatically O -100
. O -100
The O -100
service B-ASP -100
is O -100
unprofessional O -100
and O -100
neglectful O -100
so O -100
you O -100
know O -100
how O -100
good O -100
the O -100
food O -100
must O -100
be O -100
because O -100
despite O -100
the O -100
large O -100
amount O -100
of O -100
cons O -100
the O -100
food O -100
that O -100
David O -100
( O -100
typically O -100
) O -100
constructs O -100
outweighs O -100
them O -100
. O -100
Hopefully O -100
the O -100
owner O -100
knows O -100
that O -100
whatever O -100
success O -100
she O -100
has O -100
achieved O -100
is O -100
because O -100
of O -100
this O -100
chef O -100
and O -100
she O -100
hangs O -100
on O -100
tight O -100
. O -100
However O -100
, O -100
for O -100
his O -100
sake O -100
I O -100
hope O -100
he O -100
flys O -100
where O -100
his O -100
talent O -100
can O -100
be O -100
surrounded O -100
with O -100
equal O -100
talents O -100
or O -100
at O -100
least O -100
basic O -100
professionalism O -100
. O -100

This O -100
place O -100
is O -100
an O -100
interesting O -100
combo O -100
. O -100
The O -100
chef B-ASP -100
, O -100
David O -100
is O -100
incredible O -100
. O -100
When O -100
he O -100
is O -100
cooking O -100
the O -100
food B-ASP -100
is O -100
perfect O -100
and O -100
I O -100
have O -100
tasted O -100
few O -100
breakfast O -100
creations O -100
better O -100
than O -100
his O -100
. O -100
However O -100
, O -100
he O -100
is O -100
beyond O -100
overworked O -100
an O -100
on O -100
his O -100
day O -100
off O -100
the O -100
food O -100
quality O -100
suffers O -100
dramatically O -100
. O -100
The O -100
service B-ASP Negative
is O -100
unprofessional O -100
and O -100
neglectful O -100
so O -100
you O -100
know O -100
how O -100
good O -100
the O -100
food O -100
must O -100
be O -100
because O -100
despite O -100
the O -100
large O -100
amount O -100
of O -100
cons O -100
the O -100
food O -100
that O -100
David O -100
( O -100
typically O -100
) O -100
constructs O -100
outweighs O -100
them O -100
. O -100
Hopefully O -100
the O -100
owner O -100
knows O -100
that O -100
whatever O -100
success O -100
she O -100
has O -100
achieved O -100
is O -100
because O -100
of O -100
this O -100
chef O -100
and O -100
she O -100
hangs O -100
on O -100
tight O -100
. O -100
However O -100
, O -100
for O -100
his O -100
sake O -100
I O -100
hope O -100
he O -100
flys O -100
where O -100
his O -100
talent O -100
can O -100
be O -100
surrounded O -100
with O -100
equal O -100
talents O -100
or O -100
at O -100
least O -100
basic O -100
professionalism O -100
. O -100

Great O -100
quick O -100
service B-ASP Positive
despite O -100
the O -100
fact O -100
that O -100
every O -100
table B-ASP -100
was O -100
full O -100
, O -100
some O -100
with O -100
large O -100
groups O -100
. O -100
Huge O -100
portions O -100
, O -100
so O -100
be O -100
prepared O -100
to O -100
eat O -100
! O -100
Really O -100
good O -100
food B-ASP -100
, O -100
good O -100
coffee B-ASP -100
. O -100
Hash B-ASP -100
browns I-ASP -100
are O -100
really O -100
crispy O -100
on O -100
top O -100
, O -100
just O -100
the O -100
way O -100
I O -100
like O -100
them O -100
. O -100

Great O -100
quick O -100
service B-ASP -100
despite O -100
the O -100
fact O -100
that O -100
every O -100
table B-ASP Negative
was O -100
full O -100
, O -100
some O -100
with O -100
large O -100
groups O -100
. O -100
Huge O -100
portions O -100
, O -100
so O -100
be O -100
prepared O -100
to O -100
eat O -100
! O -100
Really O -100
good O -100
food B-ASP -100
, O -100
good O -100
coffee B-ASP -100
. O -100
Hash B-ASP -100
browns I-ASP -100
are O -100
really O -100
crispy O -100
on O -100
top O -100
, O -100
just O -100
the O -100
way O -100
I O -100
like O -100
them O -100
. O -100

Great O -100
quick O -100
service B-ASP -100
despite O -100
the O -100
fact O -100
that O -100
every O -100
table B-ASP -100
was O -100
full O -100
, O -100
some O -100
with O -100
large O -100
groups O -100
. O -100
Huge O -100
portions O -100
, O -100
so O -100
be O -100
prepared O -100
to O -100
eat O -100
! O -100
Really O -100
good O -100
food B-ASP Positive
, O -100
good O -100
coffee B-ASP -100
. O -100
Hash B-ASP -100
browns I-ASP -100
are O -100
really O -100
crispy O -100
on O -100
top O -100
, O -100
just O -100
the O -100
way O -100
I O -100
like O -100
them O -100
. O -100

Great O -100
quick O -100
service B-ASP -100
despite O -100
the O -100
fact O -100
that O -100
every O -100
table B-ASP -100
was O -100
full O -100
, O -100
some O -100
with O -100
large O -100
groups O -100
. O -100
Huge O -100
portions O -100
, O -100
so O -100
be O -100
prepared O -100
to O -100
eat O -100
! O -100
Really O -100
good O -100
food B-ASP -100
, O -100
good O -100
coffee B-ASP Positive
. O -100
Hash B-ASP -100
browns I-ASP -100
are O -100
really O -100
crispy O -100
on O -100
top O -100
, O -100
just O -100
the O -100
way O -100
I O -100
like O -100
them O -100
. O -100

Great O -100
quick O -100
service B-ASP -100
despite O -100
the O -100
fact O -100
that O -100
every O -100
table B-ASP -100
was O -100
full O -100
, O -100
some O -100
with O -100
large O -100
groups O -100
. O -100
Huge O -100
portions O -100
, O -100
so O -100
be O -100
prepared O -100
to O -100
eat O -100
! O -100
Really O -100
good O -100
food B-ASP -100
, O -100
good O -100
coffee B-ASP -100
. O -100
Hash B-ASP Positive
browns I-ASP Positive
are O -100
really O -100
crispy O -100
on O -100
top O -100
, O -100
just O -100
the O -100
way O -100
I O -100
like O -100
them O -100
. O -100

I O -100
felt O -100
that O -100
the O -100
menu O -100
was O -100
limited O -100
to O -100
regional O -100
fare O -100
which O -100
has O -100
been O -100
made O -100
in O -100
a O -100
gourmet O -100
style O -100
in O -100
order O -100
to O -100
justify O -100
small O -100
portions B-ASP Negative
at O -100
reasonably O -100
high O -100
prices B-ASP -100
. O -100
The O -100
actual O -100
food B-ASP -100
was O -100
well O -100
prepared O -100
and O -100
tasty O -100
, O -100
but O -100
really O -100
, O -100
two O -100
small O -100
fish O -100
tacos B-ASP -100
with O -100
no O -100
accoutrements O -100
is O -100
an O -100
entree O -100
in O -100
Austin O -100
? O -100
My O -100
husband O -100
' O -100
s O -100
entree O -100
was O -100
a O -100
piece O -100
of O -100
chicken O -100
. O -100
Period O -100
. O -100
Sides O -100
are O -100
separate O -100
. O -100
Now O -100
, O -100
quality B-ASP -100
was O -100
good O -100
, O -100
but O -100
if O -100
I O -100
hadn O -100
' O -100
t O -100
had O -100
peanuts O -100
before O -100
we O -100
went O -100
, O -100
I O -100
' O -100
d O -100
have O -100
left O -100
hungry O -100
. O -100
I O -100
also O -100
thought O -100
the O -100
menu B-ASP -100
was O -100
limited O -100
. O -100

I O -100
felt O -100
that O -100
the O -100
menu O -100
was O -100
limited O -100
to O -100
regional O -100
fare O -100
which O -100
has O -100
been O -100
made O -100
in O -100
a O -100
gourmet O -100
style O -100
in O -100
order O -100
to O -100
justify O -100
small O -100
portions B-ASP -100
at O -100
reasonably O -100
high O -100
prices B-ASP Neutral
. O -100
The O -100
actual O -100
food B-ASP -100
was O -100
well O -100
prepared O -100
and O -100
tasty O -100
, O -100
but O -100
really O -100
, O -100
two O -100
small O -100
fish O -100
tacos B-ASP -100
with O -100
no O -100
accoutrements O -100
is O -100
an O -100
entree O -100
in O -100
Austin O -100
? O -100
My O -100
husband O -100
' O -100
s O -100
entree O -100
was O -100
a O -100
piece O -100
of O -100
chicken O -100
. O -100
Period O -100
. O -100
Sides O -100
are O -100
separate O -100
. O -100
Now O -100
, O -100
quality B-ASP -100
was O -100
good O -100
, O -100
but O -100
if O -100
I O -100
hadn O -100
' O -100
t O -100
had O -100
peanuts O -100
before O -100
we O -100
went O -100
, O -100
I O -100
' O -100
d O -100
have O -100
left O -100
hungry O -100
. O -100
I O -100
also O -100
thought O -100
the O -100
menu B-ASP -100
was O -100
limited O -100
. O -100

I O -100
felt O -100
that O -100
the O -100
menu O -100
was O -100
limited O -100
to O -100
regional O -100
fare O -100
which O -100
has O -100
been O -100
made O -100
in O -100
a O -100
gourmet O -100
style O -100
in O -100
order O -100
to O -100
justify O -100
small O -100
portions B-ASP -100
at O -100
reasonably O -100
high O -100
prices B-ASP -100
. O -100
The O -100
actual O -100
food B-ASP Positive
was O -100
well O -100
prepared O -100
and O -100
tasty O -100
, O -100
but O -100
really O -100
, O -100
two O -100
small O -100
fish O -100
tacos B-ASP -100
with O -100
no O -100
accoutrements O -100
is O -100
an O -100
entree O -100
in O -100
Austin O -100
? O -100
My O -100
husband O -100
' O -100
s O -100
entree O -100
was O -100
a O -100
piece O -100
of O -100
chicken O -100
. O -100
Period O -100
. O -100
Sides O -100
are O -100
separate O -100
. O -100
Now O -100
, O -100
quality B-ASP -100
was O -100
good O -100
, O -100
but O -100
if O -100
I O -100
hadn O -100
' O -100
t O -100
had O -100
peanuts O -100
before O -100
we O -100
went O -100
, O -100
I O -100
' O -100
d O -100
have O -100
left O -100
hungry O -100
. O -100
I O -100
also O -100
thought O -100
the O -100
menu B-ASP -100
was O -100
limited O -100
. O -100

I O -100
felt O -100
that O -100
the O -100
menu O -100
was O -100
limited O -100
to O -100
regional O -100
fare O -100
which O -100
has O -100
been O -100
made O -100
in O -100
a O -100
gourmet O -100
style O -100
in O -100
order O -100
to O -100
justify O -100
small O -100
portions B-ASP -100
at O -100
reasonably O -100
high O -100
prices B-ASP -100
. O -100
The O -100
actual O -100
food B-ASP -100
was O -100
well O -100
prepared O -100
and O -100
tasty O -100
, O -100
but O -100
really O -100
, O -100
two O -100
small O -100
fish O -100
tacos B-ASP Negative
with O -100
no O -100
accoutrements O -100
is O -100
an O -100
entree O -100
in O -100
Austin O -100
? O -100
My O -100
husband O -100
' O -100
s O -100
entree O -100
was O -100
a O -100
piece O -100
of O -100
chicken O -100
. O -100
Period O -100
. O -100
Sides O -100
are O -100
separate O -100
. O -100
Now O -100
, O -100
quality B-ASP -100
was O -100
good O -100
, O -100
but O -100
if O -100
I O -100
hadn O -100
' O -100
t O -100
had O -100
peanuts O -100
before O -100
we O -100
went O -100
, O -100
I O -100
' O -100
d O -100
have O -100
left O -100
hungry O -100
. O -100
I O -100
also O -100
thought O -100
the O -100
menu B-ASP -100
was O -100
limited O -100
. O -100

I O -100
felt O -100
that O -100
the O -100
menu O -100
was O -100
limited O -100
to O -100
regional O -100
fare O -100
which O -100
has O -100
been O -100
made O -100
in O -100
a O -100
gourmet O -100
style O -100
in O -100
order O -100
to O -100
justify O -100
small O -100
portions B-ASP -100
at O -100
reasonably O -100
high O -100
prices B-ASP -100
. O -100
The O -100
actual O -100
food B-ASP -100
was O -100
well O -100
prepared O -100
and O -100
tasty O -100
, O -100
but O -100
really O -100
, O -100
two O -100
small O -100
fish O -100
tacos B-ASP -100
with O -100
no O -100
accoutrements O -100
is O -100
an O -100
entree O -100
in O -100
Austin O -100
? O -100
My O -100
husband O -100
' O -100
s O -100
entree O -100
was O -100
a O -100
piece O -100
of O -100
chicken O -100
. O -100
Period O -100
. O -100
Sides O -100
are O -100
separate O -100
. O -100
Now O -100
, O -100
quality B-ASP Positive
was O -100
good O -100
, O -100
but O -100
if O -100
I O -100
hadn O -100
' O -100
t O -100
had O -100
peanuts O -100
before O -100
we O -100
went O -100
, O -100
I O -100
' O -100
d O -100
have O -100
left O -100
hungry O -100
. O -100
I O -100
also O -100
thought O -100
the O -100
menu B-ASP -100
was O -100
limited O -100
. O -100

I O -100
felt O -100
that O -100
the O -100
menu O -100
was O -100
limited O -100
to O -100
regional O -100
fare O -100
which O -100
has O -100
been O -100
made O -100
in O -100
a O -100
gourmet O -100
style O -100
in O -100
order O -100
to O -100
justify O -100
small O -100
portions B-ASP -100
at O -100
reasonably O -100
high O -100
prices B-ASP -100
. O -100
The O -100
actual O -100
food B-ASP -100
was O -100
well O -100
prepared O -100
and O -100
tasty O -100
, O -100
but O -100
really O -100
, O -100
two O -100
small O -100
fish O -100
tacos B-ASP -100
with O -100
no O -100
accoutrements O -100
is O -100
an O -100
entree O -100
in O -100
Austin O -100
? O -100
My O -100
husband O -100
' O -100
s O -100
entree O -100
was O -100
a O -100
piece O -100
of O -100
chicken O -100
. O -100
Period O -100
. O -100
Sides O -100
are O -100
separate O -100
. O -100
Now O -100
, O -100
quality B-ASP -100
was O -100
good O -100
, O -100
but O -100
if O -100
I O -100
hadn O -100
' O -100
t O -100
had O -100
peanuts O -100
before O -100
we O -100
went O -100
, O -100
I O -100
' O -100
d O -100
have O -100
left O -100
hungry O -100
. O -100
I O -100
also O -100
thought O -100
the O -100
menu B-ASP Negative
was O -100
limited O -100
. O -100

I O -100
have O -100
ventured O -100
over O -100
to O -100
Wahoo O -100
' O -100
s O -100
a O -100
few O -100
times O -100
for O -100
lunch O -100
and O -100
recently O -100
went O -100
on O -100
a O -100
Saturday O -100
with O -100
the O -100
family O -100
during O -100
SXSW O -100
. O -100
The O -100
food B-ASP Positive
is O -100
good O -100
and O -100
comes O -100
out O -100
pretty O -100
quickly O -100
. O -100
It O -100
seems O -100
like O -100
a O -100
good O -100
portion O -100
for O -100
the O -100
money O -100
which O -100
you O -100
would O -100
expect O -100
from O -100
Mexican O -100
, O -100
but O -100
isn O -100
' O -100
t O -100
always O -100
the O -100
case O -100
in O -100
Austin O -100
. O -100
We O -100
like O -100
the O -100
Burritos B-ASP -100
and O -100
the O -100
Fish O -100
Tacos B-ASP -100
. O -100
While O -100
you O -100
are O -100
there O -100
, O -100
you O -100
definitely O -100
need O -100
to O -100
try O -100
the O -100
Bulldog O -100
which O -100
is O -100
essentially O -100
a O -100
Margarita O -100
topped O -100
off O -100
with O -100
Corona O -100
. O -100
If O -100
you O -100
are O -100
looking O -100
for O -100
an O -100
inexpensive O -100
good O -100
meal O -100
while O -100
in O -100
SOCO O -100
, O -100
this O -100
is O -100
good O -100
place O -100
to O -100
visit O -100
. O -100

I O -100
have O -100
ventured O -100
over O -100
to O -100
Wahoo O -100
' O -100
s O -100
a O -100
few O -100
times O -100
for O -100
lunch O -100
and O -100
recently O -100
went O -100
on O -100
a O -100
Saturday O -100
with O -100
the O -100
family O -100
during O -100
SXSW O -100
. O -100
The O -100
food B-ASP -100
is O -100
good O -100
and O -100
comes O -100
out O -100
pretty O -100
quickly O -100
. O -100
It O -100
seems O -100
like O -100
a O -100
good O -100
portion O -100
for O -100
the O -100
money O -100
which O -100
you O -100
would O -100
expect O -100
from O -100
Mexican O -100
, O -100
but O -100
isn O -100
' O -100
t O -100
always O -100
the O -100
case O -100
in O -100
Austin O -100
. O -100
We O -100
like O -100
the O -100
Burritos B-ASP Positive
and O -100
the O -100
Fish O -100
Tacos B-ASP -100
. O -100
While O -100
you O -100
are O -100
there O -100
, O -100
you O -100
definitely O -100
need O -100
to O -100
try O -100
the O -100
Bulldog O -100
which O -100
is O -100
essentially O -100
a O -100
Margarita O -100
topped O -100
off O -100
with O -100
Corona O -100
. O -100
If O -100
you O -100
are O -100
looking O -100
for O -100
an O -100
inexpensive O -100
good O -100
meal O -100
while O -100
in O -100
SOCO O -100
, O -100
this O -100
is O -100
good O -100
place O -100
to O -100
visit O -100
. O -100

I O -100
have O -100
ventured O -100
over O -100
to O -100
Wahoo O -100
' O -100
s O -100
a O -100
few O -100
times O -100
for O -100
lunch O -100
and O -100
recently O -100
went O -100
on O -100
a O -100
Saturday O -100
with O -100
the O -100
family O -100
during O -100
SXSW O -100
. O -100
The O -100
food B-ASP -100
is O -100
good O -100
and O -100
comes O -100
out O -100
pretty O -100
quickly O -100
. O -100
It O -100
seems O -100
like O -100
a O -100
good O -100
portion O -100
for O -100
the O -100
money O -100
which O -100
you O -100
would O -100
expect O -100
from O -100
Mexican O -100
, O -100
but O -100
isn O -100
' O -100
t O -100
always O -100
the O -100
case O -100
in O -100
Austin O -100
. O -100
We O -100
like O -100
the O -100
Burritos B-ASP -100
and O -100
the O -100
Fish O -100
Tacos B-ASP Positive
. O -100
While O -100
you O -100
are O -100
there O -100
, O -100
you O -100
definitely O -100
need O -100
to O -100
try O -100
the O -100
Bulldog O -100
which O -100
is O -100
essentially O -100
a O -100
Margarita O -100
topped O -100
off O -100
with O -100
Corona O -100
. O -100
If O -100
you O -100
are O -100
looking O -100
for O -100
an O -100
inexpensive O -100
good O -100
meal O -100
while O -100
in O -100
SOCO O -100
, O -100
this O -100
is O -100
good O -100
place O -100
to O -100
visit O -100
. O -100

Phenomenal O -100
German O -100
cuisine O -100
! O -100
Best O -100
German O -100
food B-ASP Positive
in O -100
central O -100
Florida O -100
hands O -100
down O -100
. O -100
Try O -100
the O -100
German O -100
potato B-ASP -100
salad I-ASP -100
. O -100
You O -100
will O -100
not O -100
regret O -100
it O -100
. O -100

Phenomenal O -100
German O -100
cuisine O -100
! O -100
Best O -100
German O -100
food B-ASP -100
in O -100
central O -100
Florida O -100
hands O -100
down O -100
. O -100
Try O -100
the O -100
German O -100
potato B-ASP Positive
salad I-ASP Positive
. O -100
You O -100
will O -100
not O -100
regret O -100
it O -100
. O -100

Phenomenal O -100
, O -100
is O -100
the O -100
only O -100
word O -100
I O -100
can O -100
use O -100
to O -100
describe O -100
the O -100
food B-ASP Positive
here O -100
. O -100
The O -100
ambiance O -100
, O -100
decor O -100
, O -100
beer O -100
and O -100
even O -100
service O -100
could O -100
be O -100
at O -100
its O -100
bottom O -100
and O -100
I O -100
would O -100
still O -100
drive O -100
through O -100
a O -100
Zombie O -100
Apocalypse O -100
to O -100
get O -100
here O -100
. O -100
However O -100
, O -100
everything O -100
is O -100
at O -100
epic O -100
proportions O -100
. O -100
Why O -100
is O -100
there O -100
not O -100
a O -100
line O -100
out O -100
the O -100
door O -100
at O -100
all O -100
times O -100
? O -100
I O -100
thank O -100
everyone O -100
' O -100
s O -100
hard O -100
work O -100
in O -100
making O -100
this O -100
one O -100
of O -100
my O -100
favourite O -100
restaurants O -100
I O -100
have O -100
been O -100
to O -100
. O -100
If O -100
you O -100
have O -100
not O -100
been O -100
here O -100
you O -100
must O -100
, O -100
the O -100
culinary B-ASP -100
expertise O -100
and O -100
beer B-ASP -100
mastery O -100
is O -100
a O -100
thing O -100
of O -100
beauty O -100
. O -100

Phenomenal O -100
, O -100
is O -100
the O -100
only O -100
word O -100
I O -100
can O -100
use O -100
to O -100
describe O -100
the O -100
food B-ASP -100
here O -100
. O -100
The O -100
ambiance O -100
, O -100
decor O -100
, O -100
beer O -100
and O -100
even O -100
service O -100
could O -100
be O -100
at O -100
its O -100
bottom O -100
and O -100
I O -100
would O -100
still O -100
drive O -100
through O -100
a O -100
Zombie O -100
Apocalypse O -100
to O -100
get O -100
here O -100
. O -100
However O -100
, O -100
everything O -100
is O -100
at O -100
epic O -100
proportions O -100
. O -100
Why O -100
is O -100
there O -100
not O -100
a O -100
line O -100
out O -100
the O -100
door O -100
at O -100
all O -100
times O -100
? O -100
I O -100
thank O -100
everyone O -100
' O -100
s O -100
hard O -100
work O -100
in O -100
making O -100
this O -100
one O -100
of O -100
my O -100
favourite O -100
restaurants O -100
I O -100
have O -100
been O -100
to O -100
. O -100
If O -100
you O -100
have O -100
not O -100
been O -100
here O -100
you O -100
must O -100
, O -100
the O -100
culinary B-ASP Positive
expertise O -100
and O -100
beer B-ASP -100
mastery O -100
is O -100
a O -100
thing O -100
of O -100
beauty O -100
. O -100

Phenomenal O -100
, O -100
is O -100
the O -100
only O -100
word O -100
I O -100
can O -100
use O -100
to O -100
describe O -100
the O -100
food B-ASP -100
here O -100
. O -100
The O -100
ambiance O -100
, O -100
decor O -100
, O -100
beer O -100
and O -100
even O -100
service O -100
could O -100
be O -100
at O -100
its O -100
bottom O -100
and O -100
I O -100
would O -100
still O -100
drive O -100
through O -100
a O -100
Zombie O -100
Apocalypse O -100
to O -100
get O -100
here O -100
. O -100
However O -100
, O -100
everything O -100
is O -100
at O -100
epic O -100
proportions O -100
. O -100
Why O -100
is O -100
there O -100
not O -100
a O -100
line O -100
out O -100
the O -100
door O -100
at O -100
all O -100
times O -100
? O -100
I O -100
thank O -100
everyone O -100
' O -100
s O -100
hard O -100
work O -100
in O -100
making O -100
this O -100
one O -100
of O -100
my O -100
favourite O -100
restaurants O -100
I O -100
have O -100
been O -100
to O -100
. O -100
If O -100
you O -100
have O -100
not O -100
been O -100
here O -100
you O -100
must O -100
, O -100
the O -100
culinary B-ASP -100
expertise O -100
and O -100
beer B-ASP Positive
mastery O -100
is O -100
a O -100
thing O -100
of O -100
beauty O -100
. O -100