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generation | semeval-2014 | [
"Great for groups, great for a date, great for early brunch or a nightcap."
] | {'aspect_term': [['brunch', 'positive'], ['nightcap', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Went to Ottimo and was expecting outstanding pizza (as I love La Pizza Fresca)."
] | {'aspect_term': [['pizza', 'neutral']], 'aspect_category': [[None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"To my right, the hostess stood over a busboy and hissed rapido, rapido as he tried to clear and re-set a table for six."
] | {'aspect_term': [['hostess', 'negative'], ['busboy', 'neutral'], ['table', 'neutral']], 'aspect_category': [[None, 'negative'], [None, 'neutral'], [None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Food is great."
] | {'aspect_term': [['Food', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"I recommend their Pad See Ew, Pork Chops or Tofu plates."
] | {'aspect_term': [['Pad See Ew', 'positive'], ['Pork Chops', 'positive'], ['Tofu plates', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Last time I went here, the waitress didn't come back after taking our order."
] | {'aspect_term': [['waitress', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"I went to DF for Valentines Day dinner."
] | {'aspect_term': [['Valentines Day dinner', 'neutral']], 'aspect_category': [[None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Our food was great too!"
] | {'aspect_term': [['food', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"It takes forever to get a drink and they almost always forget to bring something (although they dont forget to charge you for it."
] | {'aspect_term': [['drink', 'neutral']], 'aspect_category': [[None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Several of the dim sum orders had about 6-8 pieces."
] | {'aspect_term': [['dim sum orders', 'neutral']], 'aspect_category': [[None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"We were fans of the half-price Saturday night option until some inedible squid during a recent visit."
] | {'aspect_term': [['squid', 'negative'], ['half-price Saturday night option', 'positive']], 'aspect_category': [[None, 'negative'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"However, go for the ambience, and consider the food just a companion for a trip across the world!"
] | {'aspect_term': [['ambience', 'positive'], ['food', 'negative']], 'aspect_category': [[None, 'positive'], [None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The waiter actually poured water on my hand and walked away."
] | {'aspect_term': [['waiter', 'negative'], ['water', 'neutral']], 'aspect_category': [[None, 'negative'], [None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Service was excellent, and the AC worked very well too (thank God, it was hot!)."
] | {'aspect_term': [['Service', 'positive'], ['AC', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Wouldn't recomend it for dinner!"
] | {'aspect_term': [['dinner', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"So I've never actually been to M proper, but I've had it delivered a few times."
] | {'aspect_term': [['delivered', 'neutral']], 'aspect_category': [[None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Went on a double date with friend and his girlfriend for a few drinks and appetizers."
] | {'aspect_term': [['drinks', 'neutral'], ['appetizers', 'neutral']], 'aspect_category': [[None, 'neutral'], [None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Kind, attentive wait staff."
] | {'aspect_term': [['wait staff', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"They might be all business at the counter when you give your order, but their food says I love you."
] | {'aspect_term': [['food', 'positive'], ['counter', 'negative']], 'aspect_category': [[None, 'positive'], [None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"I love Indian food and consider myself to be quite an expert on it."
] | {'aspect_term': [['Indian food', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The service was mediocre, and the lack of air conditioning made for a less than comfortable meal."
] | {'aspect_term': [['service', 'neutral'], ['air conditioning', 'negative'], ['meal', 'negative']], 'aspect_category': [[None, 'neutral'], [None, 'negative'], [None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The price is reasonable although the service is poor."
] | {'aspect_term': [['price', 'positive'], ['service', 'negative']], 'aspect_category': [[None, 'positive'], [None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Food is average, and I would say even the chain restaurant Baluchi's tastes better."
] | {'aspect_term': [['Food', 'neutral']], 'aspect_category': [[None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"You get the sense that the people there care about their restaurant and about your experience and that is very nice."
] | {'aspect_term': [['people', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"As soon as my father lifted his pen from the check a chef appeared to usher us out."
] | {'aspect_term': [['chef', 'negative'], ['check', 'neutral']], 'aspect_category': [[None, 'negative'], [None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The ceiling is amazing!"
] | {'aspect_term': [['ceiling', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"we split a tasty vegetable samosa and the malai tikka wrap."
] | {'aspect_term': [['vegetable samosa', 'positive'], ['malai tikka wrap', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The food here is rather good, but only if you like to wait for it."
] | {'aspect_term': [['food', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The food is prepared quickly and efficiently."
] | {'aspect_term': [['food', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Everything is excellent, the menu is quite extensive, and you eat with a view on both sides of the city."
] | {'aspect_term': [['menu', 'positive'], ['view', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Spice is great Thai food, love the inexpensive appetizers."
] | {'aspect_term': [['Thai food', 'positive'], ['appetizers', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"I'm still mad that i had to pay for lousy food."
] | {'aspect_term': [['food', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Anyways, if you're in the neighborhood to eat good food, I wouldn't waste my time trying to find something, rather go across the street to Tamari."
] | {'aspect_term': [['food', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"I took my girlfriend there for her birthday last night and we had a relaxing, really good meal."
] | {'aspect_term': [['meal', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Once they ran out of Gnochi and made it for me from scratch!"
] | {'aspect_term': [['Gnochi', 'neutral']], 'aspect_category': [[None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"I got the $10 10-piece dim sum combo, every bite of which was great."
] | {'aspect_term': [['dim sum combo', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The hanger steak was like rubber and the tuna was flavorless not to mention it tasted like it had just been thawed."
] | {'aspect_term': [['hanger steak', 'negative'], ['tuna', 'negative']], 'aspect_category': [[None, 'negative'], [None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Food was okay, nothing great."
] | {'aspect_term': [['Food', 'neutral']], 'aspect_category': [[None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Emilio, the owner, is often sitting in the front table greeting guests as they come and go."
] | {'aspect_term': [['owner', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The crispy chicken wasn't for us, though."
] | {'aspect_term': [['crispy chicken', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"After all that, they complained to me about the small tip."
] | {'aspect_term': [['tip', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"The Waitstaff were very nice and suggested swordfish for my husband he enjoyed his meal."
] | {'aspect_term': [['Waitstaff', 'positive'], ['swordfish', 'positive'], ['meal', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"I started out with a Bombay beer which was big enough for two."
] | {'aspect_term': [['Bombay beer', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"If you have a dumpling fetish i suggest you try some here!"
] | {'aspect_term': [['dumpling', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"I go back in line like three times on average until I can't walk anymore."
] | {'aspect_term': [['line', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Food is great and inexpensive."
] | {'aspect_term': [['Food', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The palak paneer was standard, and I was not a fan of the malai kofta."
] | {'aspect_term': [['palak paneer', 'neutral'], ['malai kofta', 'neutral']], 'aspect_category': [[None, 'neutral'], [None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"I had the salmon dish and while it was fine, for the price paid, I expected it to have some type of flavor."
] | {'aspect_term': [['salmon dish', 'conflict'], ['flavor', 'negative'], ['price', 'neutral']], 'aspect_category': [[None, 'conflict'], [None, 'negative'], [None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Try the lasagnette appetizer."
] | {'aspect_term': [['lasagnette appetizer', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"If you want some roast duck, pork or chicken on rice with ginger, try them out!"
] | {'aspect_term': [['roast duck', 'positive'], ['pork', 'positive'], ['chicken on rice with ginger', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"It's great to go for a quick lunch either alone or with a friend."
] | {'aspect_term': [['lunch', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"THE FOOD PORTIONS ARE REALLY LARGE."
] | {'aspect_term': [['FOOD PORTIONS', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"Going to Volare is like going to your favorite aunt's house for dinner, assuming that your aunt is a great Italian cook."
] | {'aspect_term': [['dinner', 'neutral']], 'aspect_category': [[None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Great wine selection, Gigondas is worth the price, and the house champagne is a great value."
] | {'aspect_term': [['wine selection', 'positive'], ['Gigondas', 'positive'], ['house champagne', 'positive'], ['price', 'neutral']], 'aspect_category': [[None, 'positive'], [None, 'positive'], [None, 'positive'], [None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The food here does a great service to the name (Cantonese that is...)."
] | {'aspect_term': [['food', 'positive'], ['Cantonese', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"I have enjoyed everything I have ever gotten and the fish is so fresh and always prepared in a great way."
] | {'aspect_term': [['fish', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The service was a bit slow, but they were very friendly."
] | {'aspect_term': [['service', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Yet paired with such rude service, would never recommend for anyone interested in carrying any kind of conversation while there."
] | {'aspect_term': [['service', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Killer Sushi!"
] | {'aspect_term': [['Sushi', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Excellent dumplings served amid clean, chic decor."
] | {'aspect_term': [['dumplings', 'positive'], ['decor', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"We visited Bread Bar during January restaurant week and were so pleased with the menu selections and service."
] | {'aspect_term': [['menu selections', 'positive'], ['service', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The pickles were great addition."
] | {'aspect_term': [['pickles', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Food was average and creme brulee was awful - the sugar was charred, not caramelized and smelled of kerosene."
] | {'aspect_term': [['Food', 'neutral'], ['creme brulee', 'negative'], ['sugar', 'negative']], 'aspect_category': [[None, 'neutral'], [None, 'negative'], [None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"We walked in on a Wednesday night and were seated promptly."
] | {'aspect_term': [['seated', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Despite a slightly limited menu, everything prepared is done to perfection, ultra fresh and a work of food art."
] | {'aspect_term': [['menu', 'negative'], ['food art', 'positive']], 'aspect_category': [[None, 'negative'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"They are still living in the dark ages and do not have an answering machine, so if you want to make a reservation you are limited."
] | {'aspect_term': [['reservation', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"You have to increase the service a lot."
] | {'aspect_term': [['service', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"It's a nice place to relax and have conversation."
] | {'aspect_term': [['place', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"This was the worst dining experience I've ever had."
] | {'aspect_term': [['dining experience', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The meat dishes were only so-so."
] | {'aspect_term': [['meat dishes', 'neutral']], 'aspect_category': [[None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"I would have gotten some cole slaw and a knish if my stomach had more space."
] | {'aspect_term': [['cole slaw', 'neutral'], ['knish', 'neutral']], 'aspect_category': [[None, 'neutral'], [None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The wait staff is friendly, and the food has gotten better and better!"
] | {'aspect_term': [['wait staff', 'positive'], ['food', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"I would definitely go back -- if only for some of those exotic martinis on the blackboard."
] | {'aspect_term': [['martinis', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Also a little more expensive than your average bagel place."
] | {'aspect_term': [['bagel', 'neutral']], 'aspect_category': [[None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Found service above average, but that could be because we were 13 of us."
] | {'aspect_term': [['service', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Food was average but tasty."
] | {'aspect_term': [['Food', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"My boyfriend and I recently had an early dinner at Artisanal and was satisfied with our experience."
] | {'aspect_term': [['dinner', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"The food was so-so."
] | {'aspect_term': [['food', 'neutral']], 'aspect_category': [[None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"I've overheard comments from him to his employees that should not have been delivered in the dining area and I've been sitting there while he lectured another customer."
] | {'aspect_term': [['employees', 'negative'], ['dining area', 'neutral']], 'aspect_category': [[None, 'negative'], [None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"This little place definitely exceeded my expectations and you sure get a lot of food for your money."
] | {'aspect_term': [['food', 'positive'], ['money', 'positive'], ['place', 'conflict']], 'aspect_category': [[None, 'positive'], [None, 'positive'], [None, 'conflict']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"For great chinese food nearby, you have Wu Liang Ye and Grand Sichuan just a block away."
] | {'aspect_term': [['chinese food', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"I've been coming here as a child and always come back for the taste."
] | {'aspect_term': [['taste', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"We all ate pasta entre'es, which were great."
] | {'aspect_term': [["pasta entre'es", 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"They had scrapped the bottom of the vessel in which they make the rice -RESULT - WE HAD LARGE CHUNKS OF BURNT RICE IN OUR SERVING BOWL."
] | {'aspect_term': [['rice', 'negative'], ['RICE', 'negative']], 'aspect_category': [[None, 'negative'], [None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"Pastrami or corned beef are juicy and piled high (ask for extra rye bread)."
] | {'aspect_term': [['Pastrami or corned beef', 'positive'], ['rye bread', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"The brioche and lollies as party favors is a cute and sweet touch to a most memorable meal."
] | {'aspect_term': [['brioche and lollies', 'positive'], ['meal', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"Try the chocolate mud cake (warmed) with 2 scoops of dulce de leche gelato."
] | {'aspect_term': [['chocolate mud cake (warmed)', 'positive'], ['dulce de leche gelato', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"For many people, this may not seem like Aunthentic Thai food because most places in NYC arent quite authentic."
] | {'aspect_term': [['Thai food', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"I have eaten a lot of pizza here."
] | {'aspect_term': [['pizza', 'neutral']], 'aspect_category': [[None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"We concluded with tiramisu chocolate cake, both were delicious."
] | {'aspect_term': [['tiramisu chocolate cake', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"The sauce is delicious and the crust is perfect."
] | {'aspect_term': [['sauce', 'positive'], ['crust', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"When he finally did, he was unable to make a gin and tonic -- couldn't find tonic."
] | {'aspect_term': [['gin and tonic', 'neutral'], ['tonic', 'neutral']], 'aspect_category': [[None, 'neutral'], [None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"They have a very diverse menu so its something for everybody."
] | {'aspect_term': [['menu', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"The waitress remembers me and is very friendly, she knows what my regular is and that's the fried mini buns with the condensed milk and the assorted fruits on beancurd."
] | {'aspect_term': [['waitress', 'positive'], ['fried mini buns with the condensed milk and the assorted fruits on beancurd', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"Even the pasta is delicious here (a rarity in New York pizza restaurants)."
] | {'aspect_term': [['pasta', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"We had a 3 hour brunch- they definitely do not rush you- and they kept the unlimited mimosas flowing the whole time."
] | {'aspect_term': [['brunch', 'positive'], ['mimosas', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"The service, wine selection, ambiance are all outstanding and deserve recognition."
] | {'aspect_term': [['service', 'positive'], ['wine selection', 'positive'], ['ambiance', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"Where tanks in other Chinatown restaurants display a lurking myriad of sad-looking marine life in their murky waters, the tanks at Ping's are clear as glass with healthy-looking creatures who do not yet know that they will be part of some dim sum lover's brunch."
] | {'aspect_term': [['tanks', 'negative'], ['tanks', 'positive'], ['dim sum', 'neutral'], ['brunch', 'neutral']], 'aspect_category': [[None, 'negative'], [None, 'positive'], [None, 'neutral'], [None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"Salads are a delicious way to begin the meal."
] | {'aspect_term': [['Salads', 'positive'], ['meal', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"I look forward to eating here again"
] | {'aspect_term': [['eating', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |