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generation | semeval-2014 | [
"There was a great deal for 6 Blue Point oysters and a beer or glass of wine for $8!"
] | {'aspect_term': [['Blue Point oysters', 'neutral'], ['beer', 'neutral'], ['glass of wine', 'neutral']], 'aspect_category': [[None, 'neutral'], [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 could have drank 4 glasses of water and still been parched - so watch out."
] | {'aspect_term': [['glasses of water', '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 | [
"Won't or Can't is not in the service directory."
] | {'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 | [
"We go on Mondays for the prix fixe and our experience with the food has been comparable to Blue Ribbon."
] | {'aspect_term': [['food', 'neutral'], ['prix fixe', '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 food is mostly made from scratch, fresh and well prepared."
] | {'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 | [
"But who says Murray's is anything about service."
] | {'aspect_term': [['service', '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 found the food, service and value exceptional everytime I have been there."
] | {'aspect_term': [['food', 'positive'], ['service', 'positive'], ['value', '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 | [
"The food, drinks and service are clearly among the best in the city."
] | {'aspect_term': [['food', 'positive'], ['drinks', 'positive'], ['service', '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 | [
"Thalia is a beautiful restaurant with beautiful people serving you, but the food doesn't quite match up."
] | {'aspect_term': [['people serving', '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 atmosphere is unheralded, the service impecible, and the food magnificant."
] | {'aspect_term': [['atmosphere', 'positive'], ['service', 'positive'], ['food', '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've been back to nha trang literally a hundred times for the beef cubes - they're that good."
] | {'aspect_term': [['beef cubes', '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 were well attended to by the enthusiastic staff especially the manager Tony Gaskin who made excellent suggestions for our menu selections."
] | {'aspect_term': [['staff', 'positive'], ['manager', 'positive'], ['menu selections', '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 | [
"Best Pastrami I ever had and great portion without being ridiculous."
] | {'aspect_term': [['Pastrami', 'positive'], ['portion', '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 | [
"IT IS WHAT MODERN CUISINE IS ALL ABOUT."
] | {'aspect_term': [['CUISINE', '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 | [
"Each bite of food at Kai was indeed delicious, fresh, and elegant."
] | {'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 | [
"And Kruno, the beverage manager is the best bartender I have yet to come across."
] | {'aspect_term': [['bartender', 'positive'], ['beverage manager', '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 was bland oily."
] | {'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 | [
"The tastes makes your mouth water for more."
] | {'aspect_term': [['tastes', '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 | [
"Service was also horrible and the ambience is not that great."
] | {'aspect_term': [['Service', 'negative'], ['ambience', '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 | [
"The barebecued salmon is elegantly spiced and not at all dry."
] | {'aspect_term': [['barebecued salmon', '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 | [
"now if they could only get a toaster."
] | {'aspect_term': [['toaster', '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 had very high expectations for this place and made a reservation a couple of months in advance for a special occasion."
] | {'aspect_term': [['reservation', '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 | [
"Whem asked, we had to ask more detailed questions so that we knew what the specials were."
] | {'aspect_term': [['specials', '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 | [
"Waiters are slow but sweet."
] | {'aspect_term': [['Waiters', 'conflict']], 'aspect_category': [[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']]} |
||
generation | semeval-2014 | [
"While I quite liked the food and the ambience, I'm not quite sure if it they really deserve it the Michelin rating they have displayed so prooudly in the window."
] | {'aspect_term': [['food', 'positive'], ['ambience', '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 | [
"They've the best desserts and mixed drinks as well as snack foods."
] | {'aspect_term': [['desserts', 'positive'], ['mixed drinks', 'positive'], ['snack foods', '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 | [
"The entire place and the treatment we received felt as a conveyor belt."
] | {'aspect_term': [['place', '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 | [
"Good crowd, good outdoor seating, with a hip japanese vibe."
] | {'aspect_term': [['outdoor seating', 'positive'], ['vibe', '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 | [
"Any if you have a reservation you'll wait for max 5 minutes - so have a drink at the bar."
] | {'aspect_term': [['reservation', 'positive'], ['drink', 'neutral'], ['bar', 'neutral']], 'aspect_category': [[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']]} |
||
generation | semeval-2014 | [
"Fresh, authentic, french cuisine in substantial portions."
] | {'aspect_term': [['french cuisine', 'positive'], ['portions', '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 atmosphere is much better than Sripraphai (more modern and sleek)."
] | {'aspect_term': [['atmosphere', '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 banana tower is an amazing dessert as well."
] | {'aspect_term': [['banana tower', 'positive'], ['dessert', '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 restaurant looks out over beautiful green lawns to the Hudson River and the Statue of Liberty."
] | {'aspect_term': [['lawns', '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's really also the service, is good and the waiters are friendly."
] | {'aspect_term': [['service', 'positive'], ['waiters', '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 Pad thai, lad nar and various other dishes all look good on paper but, I've had better thai food in less asthetically pleasing places."
] | {'aspect_term': [['Pad thai', 'conflict'], ['lad nar', 'conflict'], ['dishes', 'conflict'], ['places', 'negative'], ['thai food', 'neutral']], 'aspect_category': [[None, 'conflict'], [None, 'conflict'], [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 | [
"The cold appetizer dishes taste like the way I remember them to taste when I was growing up in Taiwan."
] | {'aspect_term': [['cold appetizer dishes', '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 | [
"Restaurant snobs need not bother, this is a small, neighborhood kind of place."
] | {'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 | [
"Based on the reviews for dinner, this is a place I would reconsider revisiting for that, but definitely not for Dim Sum again."
] | {'aspect_term': [['Dim Sum', 'negative'], ['dinner', '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']]} |
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generation | semeval-2014 | [
"Good, fast service."
] | {'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']]} |
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generation | semeval-2014 | [
"The anti-pasta was excellent, especially the calamari, as were the filling pasta mains."
] | {'aspect_term': [['anti-pasta', 'positive'], ['calamari', 'positive'], ['filling pasta mains', '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 | [
"The food is a diamond in rough -- the food is delicious and homemade with the perfect balance of herbs and tomatoes."
] | {'aspect_term': [['food', 'positive'], ['food', 'positive'], ['herbs', 'positive'], ['tomatoes', 'positive']], 'aspect_category': [[None, 'positive'], [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 | [
"The jukebox plays everything from Italian Opera to The Strokes."
] | {'aspect_term': [['jukebox', '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 bruschetta and panini's are so yummy!"
] | {'aspect_term': [['bruschetta', 'positive'], ['panini', '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 | [
"Great for large groups and celebrations - our SUPER HAPPY waiter was the entertainment of the evening."
] | {'aspect_term': [['waiter', '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 don't know about you guys, but when I go somewhere to eat I go for the food not for the atmosphere."
] | {'aspect_term': [['food', 'neutral'], ['atmosphere', '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 | [
"The portions are large and the servers always surprise us with a different starter."
] | {'aspect_term': [['portions', 'positive'], ['servers', 'positive'], ['starter', '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 | [
"Great bagels made the old-fashioned way."
] | {'aspect_term': [['bagels', '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 menu consisted of standard brassiere food, better then places like Balthazar etc."
] | {'aspect_term': [['menu', 'positive'], ['brassiere 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']]} |
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generation | semeval-2014 | [
"This place would be so much better served by being run by a group that actually understands customer service."
] | {'aspect_term': [['service', 'negative'], ['served', '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 | [
"Cornelia Street looks like a Broadway set for West Side Story and the inside of Po is so cool quaint you really can't top the setting for a romantic dinner in NYC."
] | {'aspect_term': [['dinner', 'positive'], ['setting', '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 drinks are amazing and half off till 8pm."
] | {'aspect_term': [['drinks', '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 | [
"Such nice people working here - but I have to review the food."
] | {'aspect_term': [['people', 'positive'], ['food', 'neutral']], 'aspect_category': [[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']]} |
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generation | semeval-2014 | [
"Great romantic place for a date (try to get the corner booth table for a little privacy and to sit close!)."
] | {'aspect_term': [['privacy', 'positive'], ['corner booth table', 'positive'], ['place', '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 | [
"The pizza is overpriced and soggy."
] | {'aspect_term': [['pizza', '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 | [
"We've been to Grocery three times and not once has an item on the menu disappointed."
] | {'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 wine list is interesting and has many good values."
] | {'aspect_term': [['wine list', '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 | [
"Overall I was impressed and will return, it's a great QPR (Quality to Price Ratio)."
] | {'aspect_term': [['Price', 'positive'], ['Quality', '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 | [
"This place is worth going even if only for their beer."
] | {'aspect_term': [['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 | [
"I would recommend Roxy's for that, but not for their 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']]} |
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generation | semeval-2014 | [
"Ingredients are organic which is a real plus for me."
] | {'aspect_term': [['Ingredients', '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 | [
"In fact, two people could really share one plate."
] | {'aspect_term': [['plate', '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're looking for a place to sit down, have a drink and conversations with friends, go to sweet-n-tart and order yourself a hong-kong styled milk and tea with tapioca pearls (hot)."
] | {'aspect_term': [['drink', 'neutral'], ['hong-kong styled milk', 'positive'], ['tea with tapioca pearls (hot)', 'positive']], 'aspect_category': [[None, 'neutral'], [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 | [
"Delivery is fast too."
] | {'aspect_term': [['Delivery', '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 | [
"You can also special order any kind of dumpling,etc."
] | {'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']]} |
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generation | semeval-2014 | [
"The service was excellent - friendly and attentive."
] | {'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 | [
"Should you happen to be impressed by the cuisine definitely try it."
] | {'aspect_term': [['cuisine', '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 only thing more wonderful than the food (which is exceptional) is the service."
] | {'aspect_term': [['food', '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 | [
"I'm partial to the Gnocchi."
] | {'aspect_term': [['Gnocchi', '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 | [
"So some of the reviews here are accurate about the crowd and noise."
] | {'aspect_term': [['crowd', 'negative'], ['noise', '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 | [
"One thing I liked about this place is that I never felt rushed or pressured to give up my table ot incoming guests."
] | {'aspect_term': [['table', '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 | [
"Besides having the table we had been promised given to other restaurant patrons twice before we were actually seated, we were served dishes we hadn't ordered three times, received one of our orders 20 minutes after the rest of the table had been served (and that order was undercooked), and charged $45 more than we should have been on our bill."
] | {'aspect_term': [['table', 'negative'], ['served', 'negative'], ['dishes', 'negative'], ['table', 'negative'], ['served', 'negative'], ['bill', 'negative']], 'aspect_category': [[None, 'negative'], [None, 'negative'], [None, 'negative'], [None, 'negative'], [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 delivered by a busboy, not waiter) We got no cheese offered for the pasta, our water and wine glasses remained EMPTY our entire meal, when we would have easily spent another $20 on wine."
] | {'aspect_term': [['food', 'neutral'], ['busboy', 'negative'], ['waiter', 'negative'], ['cheese', 'negative'], ['pasta', 'negative'], ['water and wine glasses', 'negative'], ['wine', 'neutral'], ['meal', 'neutral']], 'aspect_category': [[None, 'neutral'], [None, 'negative'], [None, 'negative'], [None, 'negative'], [None, 'negative'], [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 | [
"The spicy tuna and salmon are the best we've ever had."
] | {'aspect_term': [['spicy tuna', 'positive'], ['salmon', '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 | [
"Try the Times Square cocktail -- ginger lemonade with vodka (also available without vodka.)"
] | {'aspect_term': [['Times Square cocktail', 'positive'], ['ginger lemonade with vodka', '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 | [
"Good French restaurant in an area devoid of decent restaurants unless you're into eating 4 pound pastrami sandwiches at Katz' Deli, or Mexican food which is supplied by capable restaurants."
] | {'aspect_term': [['pastrami sandwiches', 'neutral'], ['Mexican food', '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 | [
"But the staff was so horrible to us."
] | {'aspect_term': [['staff', '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 | [
"It is nearly impossible to get a table, so if you ever have the chance to go here for dinner, DO NOT pass it up."
] | {'aspect_term': [['table', 'negative'], ['dinner', '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']]} |
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generation | semeval-2014 | [
"I went to Del Frisco's Friday night with my boyfriend for an 8:00 reservation."
] | {'aspect_term': [['reservation', '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 | [
"The bagel was huge."
] | {'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']]} |
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generation | semeval-2014 | [
"The bread is the soft paratha bread (unlike the plain bread they use in Calcutta), and the stuffing is tandoori styled and very flavorful."
] | {'aspect_term': [['bread', 'positive'], ['paratha bread', 'positive'], ['bread', 'negative'], ['stuffing', 'positive'], ['tandoori', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive'], [None, 'negative'], [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 | [
"Please try the Filet Mignon, its just the most tender piece ever."
] | {'aspect_term': [['Filet Mignon', '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 is above average for midtown and sligtly better than some of the other Heartland Breweries in the city."
] | {'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 | [
"would have rather tried terrace in the sky or water club for that price"
] | {'aspect_term': [['price', '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 staff has always been attentive and kind, and I've always been amazed at how they've handled all the various different group sizes that come in."
] | {'aspect_term': [['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']]} |
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generation | semeval-2014 | [
"Just because it's cheap does NOT mean the portions are small or the food is nasty, IT IS GREAT!"
] | {'aspect_term': [['portions', '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']]} |
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generation | semeval-2014 | [
"Meanwhile, the bartender continued to pour champagne from his reserve after we had finished our bottle and we enjoyed an amuse of turnip soup with pureed basil, gratis."
] | {'aspect_term': [['bartender', 'positive'], ['champagne', 'neutral'], ['turnip soup with pureed basil', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'neutral'], [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's as good as ever."
] | {'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 | [
"Even with a relatively inexpensive botle of wine, if you can call $70.00 inexpensive, the cost is through the roof for better than average fare."
] | {'aspect_term': [['cost', 'negative'], ['botle of wine', 'conflict']], 'aspect_category': [[None, 'negative'], [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 | [
"Very excited to hear that short-term Chef Jason Narone has moved on, he truly was a low point of their Sterling track record."
] | {'aspect_term': [['Chef', '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 | [
"This place has good potential, but needs a significant amount of work before we can justify spending that much money on indian food you can get everywhere else."
] | {'aspect_term': [['money', 'negative'], ['indian food', '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 | [
"The wait staff is very freindly, they make it feel like you're eating in a freindly little european town."
] | {'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']]} |
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generation | semeval-2014 | [
"Orsay, is a very pleasnt throw back to traditional French food, and French service as well."
] | {'aspect_term': [['French food', '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']]} |
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generation | semeval-2014 | [
"I really liked the noodle dishes at Rice Avenue compared to their Green Curry dish."
] | {'aspect_term': [['noodle dishes', 'positive'], ['Green Curry dish', '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']]} |
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generation | semeval-2014 | [
"This place has many different styles of pizza and they are all amazing."
] | {'aspect_term': [['styles of pizza', '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 | [
"believe us, we've been eating sushi for over 15 yrs."
] | {'aspect_term': [['sushi', '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 | [
"The place was nice and calm."
] | {'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']]} |
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generation | semeval-2014 | [
"However, I was there for a work dinner not long ago when my colleague from London noticed a very large waterbug on the ceiling."
] | {'aspect_term': [['ceiling', 'negative'], ['dinner', '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 | [
"Their Margarita is best I've had since I've returned from Naples!"
] | {'aspect_term': [['Margarita', '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 | [
"While they keep the capex to a minimum, they do put some cash into the bagels, because they among the best in the city."
] | {'aspect_term': [['capex', 'positive'], ['bagels', 'neutral']], 'aspect_category': [[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']]} |
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generation | semeval-2014 | [
"Try the crunchy tuna, it is to die for."
] | {'aspect_term': [['crunchy tuna', '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']]} |