task_type
stringclasses 1
value | dataset
stringclasses 1
value | input
list | output
stringlengths 27
527
| situation
stringclasses 1
value | label
stringclasses 1
value | extra
stringclasses 1
value | instruct
stringclasses 1
value |
|---|---|---|---|---|---|---|---|
generation
|
semeval-2016
|
[
"My boyfriend and I went there to celebrate my birthday the other night and all I can say is that it was magnificent."
] |
[['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
|
[
"It is definitely a good spot for snacks and chat."
] |
[['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 literally just got back home after visiting Casa La Femme and was so offended by my visit felt it necessary to try and warn other diners who value their money and time."
] |
[['restaurant general', 'negative'], ['restaurant 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
|
[
"Terrible Waste of money.. scammers"
] |
[['restaurant general', 'negative'], ['restaurant 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
|
[
"Make sure you have the Spicy Scallop roll.. ."
] |
[['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 loved it and would go again."
] |
[['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
|
[
"Which lets face it....at times it's a good thing."
] |
[['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 restaurant is a bit noisy but that is something that can be overlooked once you sit down and enjoy a great meal"
] |
[['food quality', 'positive'], ['ambience 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
|
[
"We were very pleasantly surprised."
] |
[['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 had the duck breast special on my last visit and it was incredible."
] |
[['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
|
[
"Never 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
|
[
"The service was impeccable and unobtrusive -- the staff knows what they are there to do -- to know their menu, present your meal, and attend to your needs."
] |
[['service 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
|
[
"Price is high but the food is good, so I would come back again."
] |
[['food quality', 'positive'], ['food 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
|
[
"The stuff tilapia was horrid...tasted like cardboard."
] |
[['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
|
[
"In summer-eat outside on a terrace (another great feature of Suan)!!!"
] |
[['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
|
[
"I have to highly recommend the lobster roll - not to much mayo; you can tell it was a fresh lobster."
] |
[['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
|
[
"When I got there the place was packed but they made sure to seat me quickly."
] |
[['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
|
[
"It is quite a spectacular scene i'll give them that."
] |
[['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
|
[
"Small servings for main entree, i had salmon (wasnt impressed) girlfriend had chicken, it was good."
] |
[['food quality', 'negative'], ['food quality', 'positive'], ['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
|
[
"Consistently good Japanese Tapas."
] |
[['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
|
[
"Will not be 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
|
[
"Fresh ingredients and everything is made to order."
] |
[['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
|
[
"One special roll and one regular roll is enough to fill you up, but save room for dessert!"
] |
[['food quality', 'positive'], ['food style_options', '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
|
[
"This was, from start to finish, a mind-bogglingly uncomfortable experience."
] |
[['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 STAFF SHOULD BE FIRED."
] |
[['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
|
[
"Moderate prices."
] |
[['restaurant prices', '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
|
[
"Have eaten at Ginger House several times, and it's always good."
] |
[['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 cool bar with great food, and tons of excellent beer."
] |
[['ambience general', 'positive'], ['food quality', 'positive'], ['drinks quality', 'positive'], ['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
|
[
"The sashimi is always fresh and the rolls are innovative and delicious."
] |
[['food quality', 'positive'], ['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
|
[
"But that wasn't the icing on the cake: a tiramisu that resembled nothing I have ever had."
] |
[['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
|
[
"La Rosa waltzes in, and I think they are doing it the best."
] |
[['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
|
[
"Every time in New York I make it a point to visit Restaurant Saul on Smith Street."
] |
[['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
|
[
"We left, never to return."
] |
[['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 is by far my favorite place in the neighborhood."
] |
[['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 coworker and I tried Pacifico after work a few Fridays and 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
|
[
"The wait staff is very courteous and accomodating."
] |
[['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
|
[
"There's another girl who I can't describe, she is about 5'6\" with brown hair, who eavesdrops on your conversation and chimes in - except she only hears the last part of what you said, so her uninvited opinions are often out of context and nothing to do with what you're *really* talking about. "
] |
[['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 can't remember the last time I had such gross food in New York."
] |
[['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 had the Lamb special which was perfect."
] |
[['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
|
[
"bad 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']]
|
||
generation
|
semeval-2016
|
[
"We asked for beverages and never received them."
] |
[['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 don’t usually visit the same establishment more than once, what more twice, but I’ll come to Zenkichi anytime for a quiet, unhurried and memorable dinner."
] |
[['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']]
|
||
generation
|
semeval-2016
|
[
"first it took us a long time to find the place."
] |
[['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
|
[
"Best of all is the warm vibe, the owner is super friendly and service is fast."
] |
[['ambience general', 'positive'], ['service 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
|
[
"Don't judge this place prima facie, you have to try it to believe it, a home away from home for the literate heart."
] |
[['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 prompt, friendly and great."
] |
[['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 bread we received was horrible - rock hard and cold - and the \"free\" appetizer of olives was disappointing."
] |
[['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
|
[
"The staff there is very attentive and down to earth."
] |
[['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 more wonderful than the food (which is exceptional) is the service."
] |
[['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
|
[
"it's the only place you can get yummy authentic japanese comfort 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
|
[
"The service varys from day to day- sometimes they're very nice, and sometimes not."
] |
[['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 partial to the Gnocchi."
] |
[['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 their chef's specials-- they are to die for."
] |
[['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
|
[
"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
|
[
"Decor is nice though service can be spotty."
] |
[['ambience 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
|
[
"Our waitress wasn't mean, but not especially warm or attentive either."
] |
[['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
|
[
"Definitely a great spot for a nice occasion or date."
] |
[['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
|
[
"I can't wait for summer, when they serve outside on their gigantic patio."
] |
[['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
|
[
"What a great 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
|
[
"We didn't look like the other patrons in there so unfortunately I think that may have been part of the problem."
] |
[['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 spicy Tuna roll is huge and probably the best that I've had at this price range."
] |
[['food style_options', 'positive'], ['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
|
[
"The decor is very simple but comfortable."
] |
[['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 place is so cool and the service is prompt and curtious."
] |
[['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
|
[
"The blond wood decor is very soothing, the premium sake is excellent and the service is great."
] |
[['ambience general', 'positive'], ['drinks 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
|
[
"Fantastic!"
] |
[['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 couldn't even enjoy the mashed potatoes because it was hidden completely under the chicken and spinach."
] |
[['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
|
[
"This is where it really really gets bad: the manager said, there is absolutely nothing we can do, it's a matter of taste that she didn't like it, and I cannot comp 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
|
[
"The food is okay and the prices here are mediocre."
] |
[['food quality', 'neutral'], ['restaurant prices', '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 wait staff is very freindly, they make it feel like you're eating in a freindly little european town."
] |
[['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 best!"
] |
[['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
|
[
"Patroon features a nice cigar bar and has great staff."
] |
[['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
|
[
"We had a great time at the Jekyll and hyde Pub last night."
] |
[['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
|
[
"We had fun eating in there, we were there like around 3 a.m. in the morning!"
] |
[['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 place, which is only a few months old, is perhaps Queens' biggest secret!"
] |
[['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
|
[
"Have recommended the place to friends, always gets good response."
] |
[['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
|
[
"Its dark, and cozy.. there is always jazz music playing when we go."
] |
[['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, I personally wasn't a fan of the portobello and asparagus mole."
] |
[['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
|
[
"overpriced japanese food with mediocre service"
] |
[['food prices', 'negative'], ['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
|
[
"The food here is rather good, but only if you like to wait for it."
] |
[['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']]
|
||
generation
|
semeval-2016
|
[
"They are not helpful in the least and will give you the grand run around so by the time the event date rolls around you will not only regret chosing this place, but also become hostile!"
] |
[['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
|
[
"What more could you want?"
] |
[['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's as good as ever."
] |
[['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 am not a vegetarian but, almost all the dishes were great."
] |
[['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 portions are small but being that the food was so good makes up for that."
] |
[['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
|
[
"Your friends will thank you for introducing them to this gem!"
] |
[['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
|
[
"Nevertheless, I finished my plate, and that's when I found a maggot in mushroom sauce at the bottom."
] |
[['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
|
[
"Fish is so very fresh."
] |
[['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 went here for lunch a couple of weeks ago on a Saturday, and I was thoroughly impressed with the 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
|
[
"The food was exceptional."
] |
[['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
|
[
"Over all the looks of the place exceeds the actual meals."
] |
[['ambience general', 'positive'], ['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 hot dogs were juicy and tender inside and had plenty of crunch and snap on the outside."
] |
[['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 spot, whether looking for a couple of drinks or quiet dinner."
] |
[['restaurant general', 'positive'], ['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
|
[
"The bread was stale, the salad was overpriced and empty."
] |
[['food quality', 'negative'], ['food prices', '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
|
[
"I've also been amazed at all the new additions in the past few years: A new Jazz Bar, the most fantastic Dining Garden, the Best Thin Crust Pizzas, and now a Lasagna Menu which is to die for (these are not your average lasagnas)!"
] |
[['ambience general', 'positive'], ['ambience general', '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
|
[
"Planet Thailand has always been a hit with me , I go there usually for the sushi, which is great , the thai food is excellent too ."
] |
[['food quality', '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
|
[
"Leon is an East Village gem: casual but hip, with well prepared basic French bistro fare, good specials, a warm and lively atmosphere."
] |
[['restaurant general', 'positive'], ['ambience general', 'positive'], ['food quality', 'positive'], ['ambience 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
|
[
"not only is the food"
] |
[['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
|
[
"Authentic Pakistani 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
|
[
"Terrible would be a compliment!"
] |
[['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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