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Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: “The essential Saltes of Animals may be\nArkham’s large outfit from any effects he\nI rejoice that you continue in ye
Emotion: joy
Intensity class: | 0: no joy can be inferred |
|
Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: It's my last week at CN! I'm gonna be sad to leave, but this will also be my first planned break since going into animation!
Emotion: sadness
Intensity class: | 1: low amount of sadness can be inferred |
|
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: 3years today marks the anniversary of that horrid Westgate Attack in Nairobi. My heart out to all those of us who lost our family & friends🕯
Emotion: fear
Intensity class: | 0: no fear can be inferred |
|
Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @JackCurryYES he's just lucky...bad pitchers...#WHATEVER...ElKracken is #legit #future #bright #gottawearshades #LetsGoYankees
Emotion: joy
Intensity class: | 0: no joy can be inferred |
|
Task: Place the tweet into a specific intensity class, reflecting the intensity of the mentioned emotion E and the user's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @GigaFag @pipertownsend_ snapchat new would beg to differ
Emotion: joy
Intensity class: | 0: no joy can be inferred |
|
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: The weather sure matches the mood in this state today.. #gloomy
Emotion: sadness
Intensity class: | 3: high amount of sadness can be inferred |
|
Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Nigga write me talking bout I dreamt about you, cool I hope I was haunting you in a nightmare
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
|
Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: The two Brians, @BlackEyedNBlues & @onthehorn500, also known as the Nigella Lawsons of #blues & #pizza.
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
|
Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Just got a gift via this cool virtual assistant @TryEvaBot. Wanna experience? Let me know, I can send you a gift🎁 #magical #delightful 😊
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
|
Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: I hate my lawn mower. If it had a soul, I'd condemn it to the fiery pits of Hell.
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
|
Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @beautyfulli_ami that guy in the back of your picture is hilarious
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
|
Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Can someone make me a priority list of which things I should be outraged at + in which order? #outrage #racism #animalrights #abortion #cops
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
|
Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Love takes off the masks that we fear we cannot live without and know we cannot live within. - James A. Baldwin
Emotion: fear
Intensity class: | 0: no fear can be inferred |
|
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Probably gonna end up seriously poorly at some point soon, so tired, and go from freezing to boiling in the space of seconds
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
|
Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @Cmdr_Hadfield CNN's Wolf Blitzer calls you an American astronaut and you don't correct him? #dissapointed
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
|
Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @vvxaii i feel shy to call you a friend your a sister💙💙
Emotion: fear
Intensity class: | 0: no fear can be inferred |
|
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: It is important to seek peace, even in the midst of a horrific war #CreateSyria @intalert #TalkingPeace #buildingpeace
Emotion: fear
Intensity class: | 0: no fear can be inferred |
|
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Another loss to city in the cup next 🙈 😂😂 cmon united! #revenge
Emotion: anger
Intensity class: | 1: low amount of anger can be inferred |
|
Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Gaaaaaaaad! Should have stayed in London!
Emotion: sadness
Intensity class: | 2: moderate amount of sadness can be inferred |
|
Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @Doubtism I'm not on about history or other people, I'm on about you. I've bullied no one, I make three posts and you attack
Emotion: fear
Intensity class: | 0: no fear can be inferred |
|
Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Reflection: the grind has been so REAL! Working 2 jobs & being in school. #ksudsm #ksu #recruiter #instructor #tumble #cheer #gradschool
Emotion: joy
Intensity class: | 0: no joy can be inferred |
|
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Most snapchat filters look terrible when you have glasses on
Emotion: fear
Intensity class: | 0: no fear can be inferred |
|
Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @PanicAtTheDisco hey, y'all announced it like immediately after I asked. Nice. Thanks y'all #panic
Emotion: fear
Intensity class: | 1: low amount of fear can be inferred |
|
Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Leave it on there, rule,nimber 1 of carpet cleaning!!! #furious #worsethananatomicbomb #accidentlyspillbeeronthecarpet
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
|
Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Only I could be talking to a catfish on tinder 💁😂 glad I don't use it seriously 🤣
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
|
Task: Place the tweet into a specific intensity class, reflecting the intensity of the mentioned emotion E and the user's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Realized I intimidate people with low Self Esteem a long time ago. I only surround myself with Winners and people who know how to get money
Emotion: fear
Intensity class: | 0: no fear can be inferred |
|
Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Yal aggravate tf outta me acting lying yal can't tell the difference between a dyke and a man. RARELY is it that hard to tell the difference
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
|
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @RyhenMessedUp goodbye despair
Emotion: fear
Intensity class: | 0: no fear can be inferred |
|
Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @TheGoatShow @GameGrumps now that I have been sucked into this wormhole of hilarity with no escape, I can say how weird and accurate this is
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
|
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: $SRPT Why would Etep patients & Mom's advocate for a drug if it did not work? Anyone listen to the Etep MD's @ Adcomm.. all were elated.
Emotion: joy
Intensity class: | 0: no joy can be inferred |
|
Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Happy Birthday Roy Buchanan, born on this day in 1939. #roybuchanan #guitar #blues #happybrithday
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
|
Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Wrapped In This Burrito, Gotta Sweat This All Out 😰
Emotion: fear
Intensity class: | 0: no fear can be inferred |
|
Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: I love when #girls are busy in teaching how to #pout while taking #selfie in a mall , their desication is immense #women love #perfection
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
|
Task: Place the tweet into a specific intensity class, reflecting the intensity of the mentioned emotion E and the user's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @BokuNoGio AND his momma was worse than Tony sopranos momma #wow #sad #history #major
Emotion: sadness
Intensity class: | 2: moderate amount of sadness can be inferred |
|
Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @Cass_Pennant @frankbrunoboxer @WestHamUtd @davidgold @MaccaFrank @JonjoHeuerman @WestHamMagazine @CasualMind_ @karren_brady it's an insult.
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
|
Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Totally scare for this upcoming results .
Emotion: anger
Intensity class: | 0: no anger can be inferred |
|
Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: So grim being up at 6
Emotion: sadness
Intensity class: | 3: high amount of sadness can be inferred |
|
Task: Place the tweet into a specific intensity class, reflecting the intensity of the mentioned emotion E and the user's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Just joined #pottermore and was sorted into HUFFLEPUFF 😡😡😡 #fuming
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
|
Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @JohnGDryden Gud morning sir,,keep smiling!
Emotion: joy
Intensity class: | 3: high amount of joy can be inferred |
|
Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Bake off on TV and the Match on my phone, what a nightmare I'm so stressed #GBBO #NTFCVMUFC
Emotion: fear
Intensity class: | 2: moderate amount of fear can be inferred |
|
Task: Place the tweet into a specific intensity class, reflecting the intensity of the mentioned emotion E and the user's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @ccgdavidson I remember being awestruck looking around thinking, 'You could fit the entire population of our town in here ten times over.'
Emotion: fear
Intensity class: | 0: no fear can be inferred |
|
Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @ATTCares why do I have 2 wait 48 hours to call YOU back to cancel an order I JUST placed after already spending 2 hours on the phone?! #sad
Emotion: sadness
Intensity class: | 2: moderate amount of sadness can be inferred |
|
Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: For a team as big as Bayern and the they like to play football, their pitch is fucking dreadful. Certainly no Emirates pitch anyway.
Emotion: fear
Intensity class: | 0: no fear can be inferred |
|
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Literally had a guy (a some-would-say-successful guy) tell me 'this ship will sail' kay guy, first, you're working with a sub, last, it sunk
Emotion: sadness
Intensity class: | 1: low amount of sadness can be inferred |
|
Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Said it before and I'll say it now: America is really fortunate that black people only want equality and not revenge.
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
|
Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: We have been a better second half team this season. So there's that.
Emotion: joy
Intensity class: | 0: no joy can be inferred |
|
Task: Place the tweet into a specific intensity class, reflecting the intensity of the mentioned emotion E and the user's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Bout ta get my @dontbreathe on up in here! @WarrenTheaters #nervous #icantholdmybreaththatlong
Emotion: fear
Intensity class: | 2: moderate amount of fear can be inferred |
|
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @Bungie spent over 2 fucking hours and still can't get that dam SIVA fragment on Fellwinters peak mountain
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
|
Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: hmm somehow twitter feels really depressing, more like negative today...I think I missed something 😕
Emotion: sadness
Intensity class: | 3: high amount of sadness can be inferred |
|
Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: #recession, #economic #gloom? The brightest #stars shine in the darkest nights! Our #html5 #webdesign rocks! #rtblitz #finovate #wlsb
Emotion: sadness
Intensity class: | 1: low amount of sadness can be inferred |
|
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: People #honk like #idiots. Culture less indisciplined #Traffic #india #backtoreality #nightmare
Emotion: fear
Intensity class: | 2: moderate amount of fear can be inferred |
|
Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Everybody's worried about stopping #terrorism. Well, there's a really easy way: stop participating in it. - Noam Chomsky
Emotion: fear
Intensity class: | 1: low amount of fear can be inferred |
|
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: ... Huh. Perhaps... Because we're both so dreary, we get along well?
Emotion: sadness
Intensity class: | 2: moderate amount of sadness can be inferred |
|
Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @OutlanderHome if not filming, @TobiasMenzies smile! please. :)
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
|
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @andyfleming83 Bastard squirrels. 😡
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
|
Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: First day of fall quarter tomorrow. 😰 #excited #anxious #blargh
Emotion: fear
Intensity class: | 0: no fear can be inferred |
|
Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: I think Paul is what's bitter, not the pastry
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
|
Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Beware the wrath of an angry, frustrated, #agile grandma with a network. 👵🏼😡 I'm just sayin'. #objectlesson
Emotion: fear
Intensity class: | 2: moderate amount of fear can be inferred |
|
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Finally made my #fury #warrior guide. Let me know your thoughts
Emotion: anger
Intensity class: | 0: no anger can be inferred |
|
Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Folk Band 'Thistle Down' will be replaced by 'The Paul Edwards Quartet' at Laurel Bank Park Sat 24 11am - 3pm due to ill health #jazz
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
|
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: +++ '#Dearly #beloved, avenge not yourselves, but rather give place unto #wrath: for it is #written, #Vengeance is #mine; I …' #Romans12v19
Emotion: fear
Intensity class: | 0: no fear can be inferred |
|
Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Probs spent a grand total of five minutes sober since Sunday evening :) #freshers
Emotion: sadness
Intensity class: | 1: low amount of sadness can be inferred |
|
Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @WuffinArts :c You have my most heartfelt condolences. I'm glad it passed with levity and love in it's heart.
Emotion: joy
Intensity class: | 0: no joy can be inferred |
|
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @esraalajmy huff btw ty😔
Emotion: anger
Intensity class: | 0: no anger can be inferred |
|
Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @MrHenvin Thank you, happy birthday to you as well!
Emotion: joy
Intensity class: | 3: high amount of joy can be inferred |
|
Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @TheCatHeSay I may be #alwayshungry but I haven't sunk that low yet!! @Thereluctantcat
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
|
Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @MendipHillsAONB do we think the swallows and swifts have gone? Photo'd 3 nights ago, not seen since. #sad #Autumn
Emotion: sadness
Intensity class: | 3: high amount of sadness can be inferred |
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Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @Dak2future decorations are up all over Jersey already
Emotion: anger
Intensity class: | 0: no anger can be inferred |
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Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: I have actually watch drugs destroy an entire family 😢Mother's on skid row. Oldest daughter lost her child. Father is estranged. #horrific
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
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Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: If I do my homework now I can watch revenge and possibly go out tonight'\n*plays on phone for 2 hours to avoid doing homework
Emotion: anger
Intensity class: | 1: low amount of anger can be inferred |
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Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @LFC What an awful team
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Best horror Comedy movie of 2017 #AnandoBrahma @taapsee #SrinivasReddy . In 2nd half I got throat pain #toomuch #laughs
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
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Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: People always tell me that they don't expect me to have anxiety because I'm generally cheerful and don't act the way they expect me to.
Emotion: joy
Intensity class: | 0: no joy can be inferred |
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Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: #Jesus #truth Psalms 32:11 You that are righteous, be glad and rejoice because of what the Lord has done. You that obey him, shout for joy!
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
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Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: UPLIFT: If you're still discouraged it means you're listening to the wrong voices & looking to the wrong source. Look to the LORD!
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Scott Dann injured aka my worst nightmare
Emotion: fear
Intensity class: | 2: moderate amount of fear can be inferred |
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Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @ProfessorF @Mediaite @law_newz Childish temper #tantrums are all the left has left. :)
Emotion: anger
Intensity class: | 1: low amount of anger can be inferred |
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Task: Place the tweet into a specific intensity class, reflecting the intensity of the mentioned emotion E and the user's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: If children live with #ridicule, they learn to feel
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Leviticus 19:14\nYou shall not curse the #deaf or put a stumbling #block before the #blind, but you shall #fear your #God: I am the [1/2]
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
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Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Hi guys! I now do lessons via Skype! Contact me for more info. #skype #lesson #basslessons #teacher #free lesson #music #groove #rock #blues
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
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Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @corruptmelon now im feeling the #worry
Emotion: fear
Intensity class: | 3: high amount of fear can be inferred |
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Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: A Leopard never changes its spots! #lost
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
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Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Walk right through them! See way past them, and don't even hesitate running them over.
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @TrueRyuga I tore my MLC playing football in HS. Knees are serious business. Take care of them! Lemme know if you need anything.
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
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Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @omgitsbrittanyy @WittLowry u probably irritate the shit out of him always talking to him. He could probably give 2 shits about u lol 🖕🏻
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
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Task: Place the tweet into a specific intensity class, reflecting the intensity of the mentioned emotion E and the user's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @bldmovs sadly beautiful photo.
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
|
Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @MHChat if we don't understand how to express our emotions to others, may lead to sadness / loneliness & neg impact on long term mh #MHChat
Emotion: sadness
Intensity class: | 2: moderate amount of sadness can be inferred |
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Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: the thought of you gets me through my day. the thought of your smile never fails at making me smile 💚
Emotion: joy
Intensity class: | 3: high amount of joy can be inferred |
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Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @NancyErvin4 The most ghastly thing is the silence from the #AARP. Trump says he won't touch SS, but his tax plan belies that. Huge cuts.
Emotion: fear
Intensity class: | 1: low amount of fear can be inferred |
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Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @DrColJ @drshow #Muslims have been in USA for ages. To think that Muslims commit #terrorism due to #Islam, you gotta be out of your mind.
Emotion: fear
Intensity class: | 1: low amount of fear can be inferred |
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Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @WhoIsThisCaleb you could leap to your feet dramatically, plant one foot on the seat of your chair, and let out that jaunty tune!
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
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Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Your boy' is having a nightmare @VivaLaSergio
Emotion: fear
Intensity class: | 1: low amount of fear can be inferred |
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Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: A #teacher who is attempting to teach without #inspiring the #pupil with a #desire to learn is hammering cold iron. #HoraceMann
Emotion: joy
Intensity class: | 0: no joy can be inferred |
|
Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @EmmaHobbs1 I did that! 3 days later my order isn't even in the same postcode as me
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
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Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Hillary Clinton looked the other way to the Saudi war on women and their terror financing because they bought her off.
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: We have all been there, and wished we didn't. 25 #hilarious #AutoCorrect Fails
Emotion: joy
Intensity class: | 0: no joy can be inferred |
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Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @silverstein 13th time seeing you guys today and you cancel the meet and greet because of the storm. We're all soaked.. 😡 #dissapointed
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
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Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @Ashleyavitia_ don't leave me
Emotion: sadness
Intensity class: | 2: moderate amount of sadness can be inferred |
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Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Watch this amazing live.ly broadcast by @iamjustinburke #lively #musically
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
|
Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: I truly believe in my heart right now that Satan is rejoicing because we are all against one another
Emotion: joy
Intensity class: | 0: no joy can be inferred |