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generation | semeval-2016 | [
"The food was great and tasty, but the sitting space was too small, I don't like being cramp in a corner."
] | [['food quality', 'positive'], ['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 | [
"But $500 for a dinner for two that didn't include Wine?"
] | [['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 food is 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 | [
"Overall, excellent restaurant!"
] | [['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 dining room is quietly elegant with no music to shout over -- how refreshing!"
] | [['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 | [
"If you don't like it, I don't know what to tell you."
] | [['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 outdoor atmosphere of sitting on the sidewalk watching the world go by 50 feet away on 6th avenue on a cool evening was wonderful."
] | [['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 | [
"To sum it up: Service varies from good to mediorce, depending on which waiter you get; generally it is just average Ok. "
] | [['service general', '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 | [
"Always busy but fast moving."
] | [['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 only thing I moderately enjoyed was their Grilled Chicken special with Edamame Puree."
] | [['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 had the Thai style Fried Sea Bass...which was very 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 | [
"Impressed..."
] | [['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 | [
"Everything is always cooked to perfection, the service is excellent, the decor cool and understated."
] | [['food quality', '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 | [
"A pleasant surprise."
] | [['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 | [
"Excellent spot for holiday get togethers with co-workers or friends that you haven't seen in a while."
] | [['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 | [
"If you don't mind pre-sliced low quality fish, unfriendly staff and a sushi chef that looks like he is miserable then this is your place."
] | [['food quality', 'negative'], ['service general', 'negative'], ['restaurant miscellaneous', '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 food was mediocre at best but it was the horrible service that made me vow never to go back."
] | [['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']] |
||
generation | semeval-2016 | [
"We were 4 and got the family size penne a la vodka which was tremendously gigantic portion...a bucket of food literally."
] | [['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 | [
"Appetizers took nearly an hour."
] | [['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 | [
"Super YUMMY Pizza!"
] | [['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 | [
"If you want something really different than try Jekyll and Hyde."
] | [['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 | [
"Ravioli was good...but I have to say that I found everything a bit overpriced."
] | [['food quality', 'positive'], ['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 you can't beat the prices."
] | [['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 | [
"never swaying, never a bad meal, never bad service..."
] | [['restaurant 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 | [
"I have lived in Japan for 7 years and the taste of the food and the feel of the restaurant is like being back in Japan."
] | [['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 | [
"Seriously, this place kicks ass."
] | [['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 | [
"Very good wine choices."
] | [['drinks 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 | [
"It is terrific, as is the value."
] | [['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']] |
||
generation | semeval-2016 | [
"I have been to Rao's probably 15 times the past 3 years and it keeps getting better."
] | [['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 last two times I ordered from here my food was soo spicy that I could barely eat it, and the spice took away from the flavor of the dish."
] | [['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 | [
"Service was also very good."
] | [['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 server was really cool and served us our food and drinks with a smile."
] | [['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 | [
"While the ambiance and atmosphere were great, the food and service could have been a lot better."
] | [['ambience general', 'positive'], ['ambience general', 'positive'], ['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']] |
||
generation | semeval-2016 | [
"Raymond the bartender rocks!"
] | [['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 was well prepared and the service impecable."
] | [['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 | [
"The only thing the waiters don't do for you is wipe your chin when you leave."
] | [['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 | [
"Our server was very helpful and friendly."
] | [['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 | [
"But too far east!"
] | [['location 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 | [
"For a restaurant with such a good reputation and that is usually so packed, there was no reason for such a lack of intelligent customer service."
] | [['restaurant miscellaneous', '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 | [
"Have the iced tea."
] | [['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 | [
"I would highly recommend it."
] | [['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 | [
"Service was slow had to wait to order and get food although not crowded."
] | [['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 | [
"Do not get the Go Go Hamburgers, no matter what the reviews say."
] | [['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 | [
"Love it."
] | [['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 Steak Tartare is a great bet, they fix it for you at the table."
] | [['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 | [
"A great choice at any cost and a great deal."
] | [['restaurant 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 best pad thai i've ever had."
] | [['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 | [
"After that she simply took our plates, walked away, came back another TWENTY minutes later with the bill and the chicken on 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 | [
"Such a disappointment..."
] | [['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 like the somosas, chai, and the chole, but the dhosas and dhal were kinda dissapointing."
] | [['food quality', 'positive'], ['food quality', 'positive'], ['food quality', 'positive'], ['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 | [
"Drinks way over priced."
] | [['drinks 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 | [
"This place is always very crowded and popular."
] | [['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 | [
"We had Pam's special fried fish and it was 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 | [
"We even had a visit from the Manager who wanted to make sure we were enjoying ourselves."
] | [['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 | [
"A restaurant that doesn't try to do anything except serve great food with great service in a pleasant atmosphere."
] | [['food quality', '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 | [
"Simply some good tasting Chinese food at incredible prices..."
] | [['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']] |
||
generation | semeval-2016 | [
"NO PIZZA 33 for me!"
] | [['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 | [
"great hot dogs.."
] | [['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 is wonderful, tasty and filling, and the service is professional and friendly."
] | [['food quality', 'positive'], ['food style_options', '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 | [
"Not the typical NYC gimmick theme restaurant."
] | [['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 | [
"Right off the L in Brooklyn this is a nice cozy place with good pizza."
] | [['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 | [
"So I decide to report back to the waitress because it was completely inedible."
] | [['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 | [
"Definitely a neighborhood favorite."
] | [['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 | [
"Creative, consistent, fresh."
] | [['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 | [
"Reliable, Fresh Sushi"
] | [['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 | [
"its just a fun place to go, not a five star restaraunt."
] | [['restaurant general', '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 | [
"The decor however seems to be the distraction so you won't notice that you just payed 300 bucks for some cold eggplant that took 2 FRICKIN HOURS TO COME!!!!"
] | [['ambience general', 'neutral'], ['food quality', 'negative'], ['food prices', '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']] |
||
generation | semeval-2016 | [
"The wine list is also really nice."
] | [['drinks 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 | [
"For a Fabulous Wedding!"
] | [['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 | [
"Dessert: pure disaster."
] | [['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 | [
"With so many poor experiences to be had in the theater district, is truly an excellent find!"
] | [['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 | [
"keep up the good work."
] | [['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 they serve is not comforting, not appetizing and uncooked."
] | [['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 | [
"After all that, they complained to me about the small tip."
] | [['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 environment is very upscale and you will see a lot of rich guys with trophy wives or just highly paid escorts."
] | [['ambience general', 'neutral'], ['restaurant miscellaneous', '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 | [
"Loved it"
] | [['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 | [
"Very pleased"
] | [['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 | [
"This tiny restaurant is as cozy as it gets, with that certain Parisian flair."
] | [['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 quaint and romantic trattoria is at the top of my Manhattan restaurant list."
] | [['ambience general', 'positive'], ['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 jukebox plays everything from Italian Opera to The Strokes."
] | [['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 | [
"Wish NY had more of these kind of places: intimate, superb food, homey, top notch all the way around, certainly worth the wait."
] | [['ambience general', 'positive'], ['food quality', 'positive'], ['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 owner and staff are all Japanese as well and that adds to the entire ambiance."
] | [['restaurant miscellaneous', 'positive'], ['restaurant miscellaneous', '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 | [
"Good spreads, great beverage selections and bagels really tasty."
] | [['food quality', 'positive'], ['drinks 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 | [
"To me it exemplifies Soho, cute, artsy, interesting."
] | [['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 | [
"Warm and friendly in the winter and terrific outdoor seating in the warmer months."
] | [['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 | [
"This place has the best Chinese style BBQ ribs in the city."
] | [['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']] |
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generation | semeval-2016 | [
"This place is pricey, and yes, the food is worth it; but the service makes you feel like you should be paying a quater of the price."
] | [['restaurant prices', 'negative'], ['food quality', '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']] |
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generation | semeval-2016 | [
"The space kind of feels like an Alice in Wonderland setting, without it trying to be that."
] | [['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']] |
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generation | semeval-2016 | [
"The price very reasonable."
] | [['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']] |
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generation | semeval-2016 | [
"On a hot day it was fabulous to stop in and enjoy lunch."
] | [['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 | [
"We recently decided to try this location, and to our delight, they have outdoor seating, perfect since I had my yorkie with me."
] | [['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 | [
"Worth visiting the 1st Ave spot because it is the original store."
] | [['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']] |
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generation | semeval-2016 | [
"Volare virgins or weekly regulars, everyone gets treated the same and you can't ask for more than that when the service is this friendly."
] | [['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']] |
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generation | semeval-2016 | [
"Not cheap but very yummy."
] | [['food prices', '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 | [
"She then put the check down without asking if we were done, and came to check on the bill every two minutes, even though we were one of three occupied tables."
] | [['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 | [
"This is undoubtedly my favorite modern Japanese brasserie (that don’t serve sushi), and in my opinion, one of the most romantic restaurants in the city!"
] | [['restaurant 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 | [
"Don't get me started on the margaritas, either."
] | [['drinks 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 | [
"Located at the end of a magnificent block."
] | [['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']] |
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generation | semeval-2016 | [
"short and sweet – seating is great:it's romantic,cozy and private."
] | [['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 | [
"Even my Indian friend couldn't believe how good and tasty everything was."
] | [['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']] |