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generation | semeval-2016 | [
"they were dry and disgusting, i didn't even finish my first piece."
] | [['food quality', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"Dokebi gives Williamsburg the right one-two punch of classic Korean food and fusion twists like pork belly tacos."
] | [['food quality', 'positive'], ['food quality', 'positive'], ['food quality', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"I lOVE THIS PLACE!"
] | [['restaurant general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"The food now is inconsistent."
] | [['food quality', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"highly recommended."
] | [['restaurant general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"I must give it Yon out of Yon stars!"
] | [['restaurant general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"The Seafood Dynamite is also otherworldly."
] | [['food quality', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"fine dining restaurant quality."
] | [['food quality', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"It was totally overpriced- fish and chips was about $15.... "
] | [['food prices', 'negative'], ['food prices', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"The three of us standing in front of her should have been an indication of how many of us there were."
] | [['service general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"The pizza is overpriced and soggy."
] | [['food quality', 'negative'], ['food prices', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"And I hate to say this but I doubt I'll ever go back. "
] | [['restaurant general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"The crust has a great bite and a good chew, the sauce is light with a nice acidity to it, the salt from the cheese is great, really heightens the flavor of all the other components."
] | [['food quality', 'positive'], ['food quality', 'positive'], ['food quality', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"The side dishes were passable, and I did get a refill upon request."
] | [['food quality', 'neutral'], ['food style_options', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"So what you really end up paying for is the restaurant not the food."
] | [['restaurant prices', 'negative'], ['ambience general', 'neutral'], ['food quality', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"Oh, and I never write reviews--I just was so moved by how bad this place was, I felt it was my duty to spread the word."
] | [['restaurant general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"the only things u could really taste are the very salty soy sauce (even its low sodium), the vinegar-soaked rice, and the scallion on top of the fish. "
] | [['food quality', 'negative'], ['food quality', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"Fabulous decor - makes you feel like you're in a trendy Manhattan restaurant, very very good food, cheaply-priced, generally friendly staff, and if you're a Manhattanite, or spend most of your time in Manhattan, Rice Avenue will make you feel at home.....very Soho/Village/Upper West Side minus the expensive prices and pretentious clientele.....all on Roosevelt Avenue!"
] | [['ambience general', 'positive'], ['food quality', 'positive'], ['food prices', 'positive'], ['service general', 'positive'], ['ambience general', 'positive'], ['location general', 'positive'], ['restaurant prices', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"The bibimbap was average, but the stone bowl wasn't even close to sizzling."
] | [['food quality', 'neutral'], ['food style_options', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"Probably would not go back here."
] | [['restaurant general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"Chicken teriyaki had tomato or pimentos on top??"
] | [['food style_options', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"Great food, good size menu, great service and an unpretensious setting."
] | [['food quality', 'positive'], ['food style_options', 'positive'], ['service general', 'positive'], ['ambience general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"This place has the the correct ambience and an excellent staff to make you feel like a guest and a friend at the same time."
] | [['ambience general', 'positive'], ['service general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"Too bad I had paid an extra $2 for the stone bowl."
] | [['food prices', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"The quantity is also very good, you will come out satisfied."
] | [['food style_options', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"Oh, and there's hookah."
] | [['ambience general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"The tuna and wasabe potatoes are excellent."
] | [['food quality', 'positive'], ['food quality', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"The bagel was huge."
] | [['food style_options', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"The service is good and the resturant is clean."
] | [['service general', 'positive'], ['ambience general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"Excellent dumplings served amid clean, chic decor."
] | [['food quality', 'positive'], ['ambience general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"Also, don't plan on asking for your favorite roll, if it's not on the menu, you can't have it."
] | [['service general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"Quite simply it's like stepping out of Manhattan and into a haven of tranquility."
] | [['ambience general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"Excellent atmosphere, delicious dishes good and friendly service."
] | [['ambience general', 'positive'], ['food quality', 'positive'], ['service general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"Service ok but unfriendly,filthy bathroom."
] | [['service general', 'negative'], ['ambience general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"And amazingly cheap."
] | [['food prices', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"It was wonderful."
] | [['restaurant general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"I/we will never go back to this place again."
] | [['restaurant general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"I cannot imagine you not rushing out to eat there."
] | [['restaurant general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"i love their chicken pasta cant remember the name but is sooo good"
] | [['food quality', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"It is obvious that no one in the restaurant has any idea about or experience with Japanese cuisine."
] | [['food quality', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"The place's decor and hidden bathrooms made for a good laugh."
] | [['ambience general', 'positive'], ['ambience general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"The only thing that strikes you is the decor?(not very pleasant)."
] | [['ambience general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"The place is a lot of fun."
] | [['ambience general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"It hits the spot every time"
] | [['restaurant general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"I was shocked that my friends wanted to stay after the waitress said, \"can I help you\" and \"how many are in your party.\""
] | [['service general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"Pizza here is consistently good."
] | [['food quality', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"Cute place, nice wait staff but would never go there again."
] | [['service general', 'positive'], ['ambience general', 'positive'], ['restaurant general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"This place blew me away...by far my new favorite restaurant on the uppereast side."
] | [['restaurant general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"The filet mignon dish was superb!"
] | [['food quality', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"It is simply amazing."
] | [['food quality', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"Personal pans are the perfect size for those hungry nights."
] | [['food style_options', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"I have never had cheescake like this."
] | [['food quality', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"It doesn't look appetizing as it's covered in squid ink and it turns your lips and teeth black, but the taste was phenomenal."
] | [['food style_options', 'negative'], ['food quality', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"The food was lousy - too sweet or too salty and the portions tiny."
] | [['food quality', 'negative'], ['food style_options', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"Mazing interior."
] | [['ambience general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"So, I switch with my boyfriend again to see if maybe I could stomach the meat and spinach again, but the spinach was so undercooked that I just could not bite through it."
] | [['food quality', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"Salads were fantastic."
] | [['food quality', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"Hurley's is like Cheers where everyone knows your name and they are ACTUALLY glad you came."
] | [['service general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"If you are the type of person who likes being scared and entertained, this is a great place to go and eat."
] | [['restaurant miscellaneous', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"Good drink."
] | [['drinks quality', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"Delivery can be spot on or lacking depending on the weather and the day of the week."
] | [['service general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"Will comeback for sure, wish they have it here in LA.."
] | [['restaurant general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"The staff is no nonsense."
] | [['service general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"Downtown Dinner 2002 - Prixe fix: Appetizers were ok, waiter gave me poor suggestion..try the potato stuff kanish best one."
] | [['food quality', 'neutral'], ['service general', 'negative'], ['food quality', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"Go here."
] | [['restaurant general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"A little pricey but it really hits the spot on a Sunday morning!"
] | [['restaurant prices', 'negative'], ['restaurant general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"You will find yourself returning quite often."
] | [['restaurant general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"Try the sea bass."
] | [['food quality', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"The prices were CHEAP compared to the quality of service and food."
] | [['restaurant prices', 'positive'], ['service general', 'positive'], ['food quality', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"this place had ALL the trimmings and i mean all."
] | [['food style_options', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"Pizza is terrific, as is homemade pasta."
] | [['food quality', 'positive'], ['food quality', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"Love the scene first off- the place has a character and nice light to it..very fortunate, location wise."
] | [['ambience general', 'positive'], ['ambience general', 'positive'], ['location general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"The exotic food is beautifully presented and is a delight in delicious combinations."
] | [['food style_options', 'positive'], ['food quality', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"The food and service were fine, however the maitre-D was incredibly unwelcoming and arrogant."
] | [['food quality', 'positive'], ['service general', 'positive'], ['service general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"I'm not even going to bother to describe it; it speaks for itself."
] | [['food quality', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"my favorite place lol"
] | [['restaurant general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"The service is excellent, the decor is great, and the food is delicious and comes in large portions."
] | [['service general', 'positive'], ['ambience general', 'positive'], ['food quality', 'positive'], ['food style_options', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"However, our main course was wonderful."
] | [['food quality', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"it's delicious!"
] | [['food quality', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"Great food!"
] | [['food quality', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"When we sat, we got great and fast service."
] | [['service general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"The food is yummy, especially their cooked-to-perfection mussels in spicy tomato sauce and their shoestring crispy fries."
] | [['food quality', 'positive'], ['food quality', 'positive'], ['food quality', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"The drinks are always welll made and wine selection is fairly priced."
] | [['drinks quality', 'positive'], ['drinks prices', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"Some Pineapple covered in a glaze of some kind and some pear tart thing Not impressive at all."
] | [['food style_options', 'negative'], ['food quality', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"The menu is very limited - i think we counted 4 or 5 entrees."
] | [['food style_options', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
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generation | semeval-2016 | [
"Just want to warn you all - don't waste your time and money."
] | [['restaurant general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
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generation | semeval-2016 | [
"Food is great and inexpensive."
] | [['food quality', 'positive'], ['food prices', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
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generation | semeval-2016 | [
"The place is small and cramped but the food is fantastic."
] | [['ambience general', 'negative'], ['food quality', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
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generation | semeval-2016 | [
"One of the best, if not THE best, restaurants in Park Slope (and NY in general)"
] | [['restaurant general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
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generation | semeval-2016 | [
"Give it a try and enjoy."
] | [['restaurant general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
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generation | semeval-2016 | [
"I attended a holiday dinner at the restaurant, and the food was majorly disappointing."
] | [['food quality', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
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generation | semeval-2016 | [
"The food arrived 20 minutes after I called, cold and soggy."
] | [['food quality', 'negative'], ['service general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
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generation | semeval-2016 | [
"Not impressed with the food."
] | [['food quality', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
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generation | semeval-2016 | [
"I couldn't ignore the fact that she reach over the plate of one of my friends, who was in mid bite, to clear the table."
] | [['service general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
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generation | semeval-2016 | [
"If you like spicy food get the chicken vindaloo."
] | [['food quality', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
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generation | semeval-2016 | [
"They're rude at times, and not very friendly."
] | [['service general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
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generation | semeval-2016 | [
"Not only is it an adventure getting to this somewhat hidden spot, once you enter the unmarked wooden doors, the zen and intimate décor will make you feel like you’re no longer in the city."
] | [['location general', 'neutral'], ['ambience general', 'positive'], ['ambience general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
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generation | semeval-2016 | [
"Mistakes happen, but they are usually accompanied by an apology, perhaps even a glass of wine...but not the grunt that we received from the Al Di La staff."
] | [['service general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
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generation | semeval-2016 | [
"We love the food, drinks, and atmosphere!"
] | [['food quality', 'positive'], ['drinks quality', 'positive'], ['ambience general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
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generation | semeval-2016 | [
"Good for dates or with friends."
] | [['restaurant miscellaneous', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |