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generation | aste-data-v2 | [
"I went at 6:00 PM specifically for the pre-theater menu ( $ 19.95 for roasted tomato soup with chevre , steak frites , creme brulee ) and it was marvelous ."
] | [['pre-theater menu', 'marvelous', 'positive'], ['roasted tomato soup with chevre', 'marvelous', 'positive'], ['steak frites', 'marvelous', 'positive'], ['creme brulee', 'marvelous', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"The waitstaff were attentive , polite and helpful - an impressive feat in such close quarters ."
] | [['waitstaff', 'attentive', 'positive'], ['waitstaff', 'polite', 'positive'], ['waitstaff', 'helpful', 'positive'], ['waitstaff', 'impressive', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"- the bread at the beginning is super tasty and makes you want more - the pizza is delicious and comes in personal sizes , however be warned that the Peter 's Favourite pizza with prosciutto and baby arugula is actually a margarite pizza with cold prosciutto and baby arugula on top , like a salad ."
] | [['bread', 'super tasty', 'positive'], ['pizza', 'delicious', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"Have always found that the waiters will go out of their way to be helpful , despite the fact they are often busy with lots of diners ."
] | [['waiters', 'helpful', 'positive'], ['waiters', 'busy', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"The owner truly caters to all your needs ."
] | [['owner', 'caters', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"He takes real pride in his food and his business ."
] | [['food', 'pride', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"So if you want a nice , enjoyable meal at Montparnasse , go early for the pre-theater prix-fixe ."
] | [['meal', 'nice', 'positive'], ['meal', 'enjoyable', 'positive'], ['pre-theater prix-fixe', 'nice', 'positive'], ['pre-theater prix-fixe', 'enjoyable', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"Over the years , it has always provided a pleasurable dining experience with quality food and wine ."
] | [['food', 'quality', 'positive'], ['wine', 'quality', 'positive'], ['dining', 'pleasurable', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"The photobook menu was a cute touch , certainly helped my group and I pick the fried chicken , pork chop , and noodle dishes that we all ordered ."
] | [['menu', 'cute', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"I can not imagine better Indian food in all of the city ."
] | [['Indian food', 'better', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"very good breads as well ."
] | [['breads', 'good', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"Pizza is terrific , as is homemade pasta ."
] | [['Pizza', 'terrific', 'positive'], ['homemade pasta', 'terrific', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"This is a wonderful place on all stand points especially value ofr money ."
] | [['value ofr money', 'wonderful', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"From beginning appetizers , the scallops were incredible , to the delicious chocolate souffle with rasberry mint sorbet , we were delighted by the taste sensations ."
] | [['beginning appetizers', 'incredible', 'positive'], ['scallops', 'incredible', 'positive'], ['chocolate souffle with rasberry mint sorbet', 'delicious', 'positive'], ['taste', 'delighted', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"My goodness , everything from the fish to the rice to the seaweed was absolutely amazing ."
] | [['fish', 'amazing', 'positive'], ['rice', 'amazing', 'positive'], ['seaweed', 'amazing', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"The food is reliable and the price is moderate ."
] | [['food', 'reliable', 'positive'], ['price', 'moderate', 'neutral']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"While the ambiance and atmosphere were great , the food and service could have been a lot better ."
] | [['ambiance', 'great', 'positive'], ['atmosphere', 'great', 'positive'], ['food', 'could have been a lot better', 'negative'], ['service', 'could have been a lot better', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"The server was really cool and served us our food and drinks with a smile ."
] | [['server', 'cool', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"Planet Thailand has always been a hit with me , I go there usually for the sushi , which is great , the thai food is excellent too ."
] | [['sushi', 'great', 'positive'], ['thai food', 'excellent', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"The sauce on the pizza is sooo good with garlic and fresh tomatoes and they do n't skimp ."
] | [['fresh tomatoes', 'fresh', 'positive'], ['sauce on the pizza', 'good', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"We recently decided to try this location , and to our delight , they have outdoor seating , perfect since I had my yorkie with me ."
] | [['outdoor seating', 'perfect', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"My husband had the mesclun , salmon , and ice cream and he enjoyed all 3 courses ."
] | [['mesclun', 'enjoyed', 'positive'], ['salmon', 'enjoyed', 'positive'], ['ice cream', 'enjoyed', 'positive'], ['courses', 'enjoyed', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"The food is usually good but it certainly is n't a relaxing place to go ."
] | [['food', 'good', 'positive'], ['place', "is n't a relaxing", 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"Super friendly and knowledgable staff , fabulous bistro fare and a wonderful jazz brunch with great live jazz ( the chilaquiles were awesome !"
] | [['staff', 'friendly', 'positive'], ['staff', 'fabulous', 'positive'], ['bistro fare', 'fabulous', 'positive'], ['chilaquiles', 'awesome', 'positive'], ['jazz brunch', 'wonderful', 'positive'], ['live jazz', 'great', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"The prices were fantastic ."
] | [['prices', 'fantastic', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"The table service could have been a little more attentive but as someone who also works in the service industry , I understood they were busy ."
] | [['service', 'busy', 'neutral']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"It 's not mind-blowing , but to me , thai food never is and never will be ."
] | [['thai food', 'mind-blowing', 'neutral']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"Food was very good as well , considering that we tried the budget selection ( though I wish the pork belly that I ordered was roasted a bit longer , so that fat was more of a melt-in-your-mouth experience ) ."
] | [['Food', 'good', 'positive'], ['pork belly', 'melt-in-your-mouth', 'negative'], ['fat', 'longer', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"I love the fact that the pizza tastes so good and is so cheap ."
] | [['pizza', 'love', 'positive'], ['pizza', 'good', 'positive'], ['pizza', 'cheap', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"Service was prompt , friendly and great ."
] | [['Service', 'prompt', 'positive'], ['Service', 'friendly', 'positive'], ['Service', 'great', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"I have n't eat a lamb chop as delicious as that , the salads are really nice dressed with lemon and extra virgnin olive oil ."
] | [['lamb chop', 'delicious', 'positive'], ['salads', 'nice', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"The sushi was awful !"
] | [['sushi', 'awful', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"You can get an excellent meal at most of the many Indian restaurants on nearby Lexington Avenue for the cost of one the dainty dishes here ."
] | [['meal', 'excellent', 'positive'], ['dishes', 'dainty', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"The plain pizza was soggy and the creative wild mushroom ( third generation-Fornini ) pizza we had was drenched with truffle oil in the middle ( again making it soggy ) and nothingon the rest ."
] | [['plain pizza', 'soggy', 'negative'], ['truffle oil', 'drenched', 'neutral']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"Late nite omelletes are not good here , there is no variety !"
] | [['omelletes', 'not good', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"After all that , they complained to me about the small tip ."
] | [['tip', 'small', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"It 's a great place to pick up a cheap lunch or dinner ."
] | [['lunch', 'cheap', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"Whenever you need a Sushi fix , Mizu will be there with quality fish and great service ."
] | [['fish', 'quality', 'positive'], ['service', 'great', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"Our waitress was sweet and accomodating , not overbearing ."
] | [['waitress', 'sweet', 'positive'], ['waitress', 'accomodating', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"I was really disappointed ant wanted to tell everyone not to go eat or even take out food from there ."
] | [['food', 'disappointed', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"Despite a slightly limited menu , everything prepared is done to perfection , ultra fresh and a work of food art ."
] | [['menu', 'limited', 'negative'], ['food art', 'ultra fresh', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"The outdoor atmosphere of sitting on the sidewalk watching the world go by 50 feet away on 6th avenue on a cool evening was wonderful ."
] | [['outdoor atmosphere', 'wonderful', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"brick oven gallery is My pick for best pizza restaurant anywhere ."
] | [['pizza', 'best', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"Add to that great service and great food at a reasonable price and you have yourself the beginning of a great evening ."
] | [['service', 'great', 'positive'], ['food', 'great', 'positive'], ['price', 'reasonable', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"For many people , this may not seem like Aunthentic Thai food because most places in NYC arent quite authentic ."
] | [['Thai food', 'authentic', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"Oh , do n't even let me start with how expensive the bills were !"
] | [['bills', 'expensive', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"All the appetizers and salads were fabulous , the steak was mouth watering and the pasta was delicious ! ! !"
] | [['appetizers', 'fabulous', 'positive'], ['salads', 'fabulous', 'positive'], ['steak', 'watering', 'positive'], ['pasta', 'delicious', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"Besides having the table we had been promised given to other restaurant patrons twice before we were actually seated , we were served dishes we had n'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 ."
] | [['dishes', 'undercooked', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"Service is top notch ."
] | [['Service', 'top notch', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"The food now is inconsistent ."
] | [['food', 'inconsistent', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"BE CAREFUL before you request extra spice ."
] | [['spice', 'CAREFUL', 'neutral']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"The octopus eaters were floored by the Octopus salad ."
] | [['Octopus salad', 'floored', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"We thought that this place is using too much of MSG cooking in the foods ."
] | [['MSG cooking', 'too much', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"And the Tom Kha soup was pathetic ."
] | [['Tom Kha soup', 'pathetic', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"I started out with a Bombay beer which was big enough for two ."
] | [['Bombay beer', 'big', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"The decor is vibrant and eye-pleasing with several semi-private boths on the right side of the dining hall , which are great for a date ."
] | [['decor', 'vibrant', 'positive'], ['decor', 'eye-pleasing', 'positive'], ['dining hall', 'great', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"The sweet lassi was excellent as was the lamb chettinad and the garlic naan but the rasamalai was forgettable ."
] | [['sweet lassi', 'excellent', 'positive'], ['rasamalai', 'forgettable', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"We 've been following chef Lyle 's food around New York for 15 years and while remaining classic , his innovations with bistro fare have made us return and return ."
] | [['bistro fare', 'innovations', 'positive'], ['food', 'classic', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"The best thing I tasted were the lambchops ."
] | [['lambchops', 'best', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"In addition , the food is very good and the prices are reasonable ."
] | [['food', 'good', 'positive'], ['prices', 'reasonable', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"Upon entering , we were greeted by the owners , Steven and Frederick , who went out of their way to be more than gracious hosts ."
] | [['hosts', 'gracious', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"Been going here since it opened have seen the quality value decrease considerably ."
] | [['quality value', 'decrease', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"they bring service up a notch by offerng complementary amuse bouche to all tables and gave us a small dessert for our celebration ."
] | [['amuse bouche', 'complementary', 'positive'], ['dessert', 'small', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"Try the crunchy tuna , it is to die for ."
] | [['crunchy tuna', 'Try', 'positive'], ['crunchy tuna', 'die for', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"All in all , this midtown gem instantly became one of my favorite sushi restaurants in the city ."
] | [['sushi', 'favorite', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"It is a lot of fun with live entertainment and all kinds of Disney type special effects ."
] | [['live entertainment', 'fun', 'positive'], ['special effects', 'fun', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"if you 're looking for perfect traditional sushi , go here - if you 're looking for interesting combinations , try Sushi of gari 's ( east side ) ."
] | [['sushi', 'perfect', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"Be careful of portions - they 're HUGE ."
] | [['portions', 'HUGE', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"The Steak Tartare is a great bet , they fix it for you at the table ."
] | [['Steak Tartare', 'great', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"Great for large groups and celebrations - our SUPER HAPPY waiter was the entertainment of the evening ."
] | [['waiter', 'SUPER HAPPY', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"Plus , on Wednesday nights the house wine is unlimited !"
] | [['house wine', 'unlimited', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"However , in the summer of 2003 , it seems the management has changed and the great big door has been replaced for a glass front ridding itself of the dark romantic getup ."
] | [['management', 'changed', 'neutral'], ['door', 'great big', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"We wo n't go to this place again for a good meal ."
] | [['meal', 'good', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"Barbecued codfish was gorgeously moist - as if poached - yet the fabulous texture was let down by curiously bland seasoning - a spice rub might have overwhelmed , however herb mix or other sauce would have done much to enhance ."
] | [['Barbecued codfish', 'moist', 'positive'], ['seasoning', 'bland', 'negative'], ['spice rub', 'overwhelmed', 'negative'], ['herb mix', 'to enhance', 'negative'], ['sauce', 'to enhance', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"After dinner , take your date to the HUGE dance floor , probably one of the biggest you 'll see in NY ."
] | [['dance floor', 'HUGE', 'positive'], ['dance floor', 'biggest', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"Taj Mahal offeres gret value and great food ."
] | [['value', 'great', 'positive'], ['food', 'great', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"My boyfriend and I recently had an early dinner at Artisanal and was satisfied with our experience ."
] | [['dinner', 'satisfied', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"Outstanding Bagels , but you get what you pay for ."
] | [['Bagels', 'Outstanding', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"Pizza - the only pizza in NYC that should not have additional toppings - the crust tastes like the best , freshly baked bread !"
] | [['crust', 'best', 'positive'], ['bread', 'freshly baked', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"I found it on a cold night , the perfect spot to warm up ."
] | [['spot', 'perfect', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"Service was warm and attentive , beef carpaachio was exellent ( huge portion ) and pasta was fresh and well-prepared ."
] | [['Service', 'warm', 'positive'], ['Service', 'attentive', 'positive'], ['beef carpaachio', 'exellent', 'positive'], ['pasta', 'fresh', 'positive'], ['pasta', 'well-prepared', 'positive'], ['portion', 'huge', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"Best Italian food I ever had ( and being Italian , that means alot ) ."
] | [['Italian food', 'Best', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"I will recommend Scopa to all of my friends for a place to go for wonderful Italian food ."
] | [['Italian food', 'wonderful', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"Great bar , most gorgeous bartenders you 've ever seen ( specifically the blond lady ) ."
] | [['bar', 'Great', 'positive'], ['bartenders', 'gorgeous', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"I really loved the different and inovated touch that 's the cheff gives to the food ."
] | [['food', 'different', 'positive'], ['food', 'inovated', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"They came out over cooked and the cheese was almost non existant ."
] | [['cheese', 'non existant', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"I had a terrific meal , and our server guided us toward a very nice wine in our price range , instead of allowing us to purchase a similarly priced wine that was n't as good ."
] | [['meal', 'terrific', 'positive'], ['wine', 'nice', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"The svc can be a bit rude at times , esp if you have big group , but overall the restaurant is a must !"
] | [['svc', 'rude', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"The food is good , especially their more basic dishes , and the drinks are delicious ."
] | [['food', 'good', 'positive'], ['dishes', 'good', 'positive'], ['drinks', 'delicious', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"But the main hit was the whole grilled fish ."
] | [['whole grilled fish', 'hit', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
||
generation | aste-data-v2 | [
"On a hot day it was fabulous to stop in and enjoy lunch ."
] | [['lunch', 'fabulous', 'positive'], ['lunch', 'enjoy', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
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generation | aste-data-v2 | [
"The food is delicious and beautifully prepared along with the friendly and personable service ."
] | [['food', 'delicious', 'positive'], ['food', 'beautifully prepared', 'positive'], ['service', 'personable', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
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generation | aste-data-v2 | [
"Pizza here is consistently good ."
] | [['Pizza', 'good', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
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generation | aste-data-v2 | [
"Would n't recomend it for dinner !"
] | [['dinner', 'recomend', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
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generation | aste-data-v2 | [
"Sauce was watery and the food did n't have much flavor ."
] | [['Sauce', 'watery', 'negative'], ['food', "did n't have much flavor", 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
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generation | aste-data-v2 | [
"My husband and I enjoy Sangria ."
] | [['Sangria', 'enjoy', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
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generation | aste-data-v2 | [
"We both opted for a pasta dish and they were served timely and fresh ."
] | [['pasta dish', 'served timely', 'positive'], ['pasta dish', 'fresh', 'positive'], ['served', 'timely', 'positive'], ['served', 'fresh', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
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generation | aste-data-v2 | [
"First the wrong bread came out with the appetizer , then when i tried to order a second glass of wine for my main course ..."
] | [['bread', 'wrong', 'negative'], ['glass of wine', 'second', 'neutral']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
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generation | aste-data-v2 | [
"In an area sadly lacking in decent Thai food , this is one of the best spots ."
] | [['Thai food', 'decent', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
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generation | aste-data-v2 | [
"Make reservations but expect to be delayed 15-20 minutes as the hosting staff was having difficulty seating guests who arrived with a reservation because they probably had a lot of walk ins being so close to Time Square ."
] | [['reservations', 'delayed', 'negative'], ['seating', 'difficulty', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |