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generation | semeval-2016 | [
"Every time in New York I make it a point to visit Restaurant Saul on Smith Street.",
"Everything is always cooked to perfection, the service is excellent, the decor cool and understated.",
"I had the duck breast special on my last visit and it was incredible.",
"Can't wait wait for my next visit."
] | [['restaurant general', 'positive'], ['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 | [
"cirspy crust margherita pizza",
"we have been there 3 times since last week we alked it by chance first day the manager offerd us the margherita pizza adn we said yes.",
"it was really good pizza.",
"the crust was imazingly cooked well and pizza was fully loaded:):):)",
"you know what i mean all the positives things happening there made mw write this review."
] | [['food quality', 'positive'], ['food style_options', '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 | [
"Best drumsticks over rice and sour spicy soup in town!",
"Beef noodle soup is good as well.",
"The service is good and the resturant is clean.",
"Best Taiwanese food in NY!"
] | [['food quality', 'positive'], ['service general', 'positive'], ['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 | [
"I am not the most experienced person when it comes to Thai food, but my friend who took me there is.",
"He has visited Thailand and is quite expert on the cuisine.",
"It was wonderful.",
"the salads are delicious, both refreshing and very spicy.",
"We had Pam's special fried fish and it was amazing.",
"too large for just two people but nothing was left.",
"Unbelievable."
] | [['restaurant general', 'positive'], ['food quality', 'positive'], ['food style_options', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"Good Food",
"I went here with my boyfriend for our anniversary.",
"The food was great and tasty, but the sitting space was too small, I don't like being cramp in a corner.",
"Over all it was a very nice romantic place .",
"I would recommend to ask for a bigger sitting area when you make a reservation (if possible)"
] | [['food quality', 'positive'], ['ambience general', 'conflict'], ['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 | [
"First of all, this place is *not* romantic, as claimed by Citysearch's editorial review.",
"Either that, or the editor's idea of romance must be sharing a conversation with the next table, while trying to speak louder than the traffic on 57th.",
"The tables are crammed way too close, the menu is typical of any Italian restaurant, and the wine list is simply overpriced.",
"Slightly above average wines start at $70+ with only one selection listed at $30+.",
"Service is not what one would expect from a joint in this price category.",
"For instance, plates were just dumped on the table, I was handed the wine list upside down, etc.... ",
"Somehow working the italian charm with constant mille grazie does not constitute proper service.",
"To be completely fair, the only redeeming factor was the food, which was above average, but couldn't make up for all the other deficiencies of Teodora."
] | [['ambience general', 'negative'], ['food style_options', 'neutral'], ['drinks prices', 'negative'], ['drinks quality', 'negative'], ['service general', 'negative'], ['food quality', 'positive'], ['restaurant general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"Great food, great prices, great service.",
"If you are looking for a good quality, cheap eats - this is the place."
] | [['food quality', 'positive'], ['restaurant prices', 'positive'], ['service general', 'positive'], ['food prices', '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 | [
"This place is so much fun.",
"Our family never expected such incredible entertainment in a restaurant.",
"This place must have cost the owners afortune to build.",
"I think the stuff was better than Disney.",
"Our food was great too!",
"And really large portions.",
"The staff was the friendliest that have seen in New York.",
"We will go back every time we are in the City."
] | [['ambience general', 'positive'], ['restaurant general', 'positive'], ['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 | [
"I absolutely love this place!!!",
"From the street it looks very hidden, and is actually an old warehouse.",
"I like the ambience, it's very dark and original.",
"I came here for my friend's birthday and keep coming back ever since.",
"The sushi is amazing!!! ",
"And amazingly cheap.",
"Big thumbs up!"
] | [['restaurant general', 'positive'], ['ambience general', '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 | [
"This restaurant used to be our regular Thursday night dinner location.",
"During the course of the past 3 months, the chef and staff changed and it was not for the better.",
"I wish they would change back to what it was before.",
"The food now is inconsistent."
] | [['food quality', 'negative'], ['service general', 'negative'], ['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 | [
"My friend from Milan and myself were pleasantly surprised when we arrived and everyone spoke italian.",
"Too bad the food wasn't of the same heritage.",
"The porcini mushroom pasta special was tasteless, so was the seafood tagliatelle.",
"A real dissapointment.",
"But that wasn't the icing on the cake: a tiramisu that resembled nothing I have ever had.",
"They should have called it mascarpone with chocolate chips-good but a far cry from what the name implies.",
"Priced at upper intermediate range."
] | [['restaurant miscellaneous', 'positive'], ['food quality', 'negative'], ['restaurant prices', 'negative'], ['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 | [
"Baluchi's has solid food and a nice decor at reasonable prices.",
"The only problem is that the manager is a complete incompetent.",
"He offers subpar service and has no personality.",
"In fact, it appears he is going to go postal at any moment.",
"Skip this location and go to the one in Soho.",
"There is no excuse for such lousy service!"
] | [['food quality', 'positive'], ['ambience general', 'positive'], ['restaurant prices', 'positive'], ['service general', 'negative'], ['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 | [
"Excellent food for great prices",
"My husband and I have been sold on this from the first visit.",
"The wait staff is very courteous and accomodating.",
"The space is limited so be prepared to wait up to 45 minutes - 1 hour, but be richly rewarded when you savor the delicious indo-chinese food.",
"There are no negatives to speak of."
] | [['food quality', 'positive'], ['food prices', 'positive'], ['restaurant general', 'positive'], ['service general', 'positive'], ['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 | [
"Moules were excellent, lobster ravioli was VERY salty!",
"Took my mom for Mother's Day, and the maitre d' was pretty rude.",
"Told us to sit anywhere, and when we sat he said the table was reserved.",
"Stepped on my foot on the SECOND time he reached over me to adjust lighting.",
"Tiny dessert was $8.00...just plain overpriced for what it is."
] | [['food quality', 'conflict'], ['service general', 'negative'], ['food style_options', 'negative'], ['food prices', 'negative'], ['restaurant general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"I went there in late afternoon for some bite size food and refleshment with my date.",
"The place was quiet and delightful.",
"Service was good and food is wonderful.",
"I did not try the caviar but I tried their salmon and crab salad (they are all good) ",
"It is definitely a good spot for snacks and chat."
] | [['ambience general', 'positive'], ['service 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 | [
"This is the best sushi in new york city - hands down.",
"The place is small and cramped but the food is fantastic.",
"Get the tuna of gari.",
"The one on the east side is much better than the one on the west side."
] | [['food quality', 'positive'], ['ambience general', '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 | [
"I'll keep this short.",
"Amma is nothing special.",
"The two star chefs left quite some time ago to open their own place.",
"I ate here a week ago and found most dishes average at best and too expensive.",
"Will not be back."
] | [['food quality', 'negative'], ['food prices', 'negative'], ['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 | [
"Mermaid Inn is an overall good restaurant with really good seafood.",
"The menu is limited but almost all of the dishes are excellent.",
"The lobster sandwich is good and the spaghetti with Scallops and Shrimp is great.",
"The service is good and ambience is good for a date or group outing.",
"The only fallback on this restaurant is the prices.",
"Even though its good seafood, the prices are too high.",
"The lobster sandwich is $24 and although it was good it was not nearly enough to warrant that price."
] | [['food quality', 'positive'], ['restaurant general', 'positive'], ['food style_options', 'negative'], ['service general', 'positive'], ['ambience general', 'positive'], ['restaurant prices', 'negative'], ['food prices', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"Great Indian Food!",
"This place was reccomended to me by a friend.",
"When I got there the place was packed but they made sure to seat me quickly.",
"The food was good, the place was clean and affordable.",
"I noticed alot of indian people eatting there which is a great sign for an indian place!"
] | [['food quality', 'positive'], ['service general', 'positive'], ['ambience general', 'positive'], ['restaurant prices', 'positive'], ['restaurant miscellaneous', '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 | [
"One of the best, if not THE best, restaurants in Park Slope (and NY in general)",
"Everything on the menu is great. ",
"This establishment is the real deal. ",
"Wish NY had more of these kind of places: intimate, superb food, homey, top notch all the way around, certainly worth the wait."
] | [['restaurant general', 'positive'], ['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 | [
"Great service, great food.",
"Prices are in line.",
"Compared to other shabu restaurants around town, this places wins hands-down.",
"But too far east!"
] | [['service general', 'positive'], ['food quality', 'positive'], ['restaurant prices', 'neutral'], ['location general', '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 | [
"Very, very nice",
"The place is a bit hidden away, but once you get there, it's all worth it.",
"not only is the food"
] | [['restaurant general', 'positive'], ['location general', 'neutral'], ['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 | [
"Average to good Thai food, but terrible delivery.",
"I've waited over one hour for food.",
"They were very abrupt with me when I called and actually claimed the food was late because they were out of rice.",
"A Thai restaurant out of rice during dinner?",
"The food arrived 20 minutes after I called, cold and soggy."
] | [['food quality', 'neutral'], ['service general', 'negative'], ['restaurant miscellaneous', 'negative'], ['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 | [
"Don't go with a larger group than 4! ",
"I went here for a family birthday dinner. ",
"Five of us walked in at approximately 6:20 on a Thursday evening. ",
"The hostess said \"Wow that's a large group, unless you aren't together\", to which I replied \"no we are, and there will be one more, so a table for six please.\" ",
"At first we were a little taken aback, as this seemed to present a problem, although the restaurant looked fairly empty, but they hastily put the table together for us.",
"The menu is fairly simple without much descriptions. ",
"There was no tap beer that evening, which was a disappointment. ",
"Not much of a selection of bottled beer either, we went with Brahma. ",
"The appetizers we ordered were served quickly - an order of fried oysters and clams were delicious but a tiny portion (maybe 3 of each). ",
"The lobster knuckles (special of the day) were ok, but pretty tasteless.",
"I believe there were 2 shrimp in the \"salt encrusted shrimp\" appetizer. ",
"After we ate our appetizers (which took all of 8 minutes) we ordered another round of Brahma's - and tried to stall a little as we waited for our sixth dinner member. ",
"The waitress appeared and asked us if we wanted to go ahead and order. ",
"We replied that we would like to wait 5 more minutes if that was okay. ",
"She replied \"well it would be more convenient for us if you ordered now, since you are a larger party, and it might get crowded.\" ",
"We called the other person who was very close by, and she told us to order for her, so we did. ",
"The food arrived in about 15 minutes. ",
"I had the Thai style Fried Sea Bass...which was very good. ",
"Everyone seemed generally happy with their food, except my brother who had the grilled Mahi Mahi, seemingly drenched in Grapfruit Juice! ",
"I heard the lobster roll was excellent. ",
"They seemed to continue to rush us along, taking plates without asking if we were done (my sister still had her fork in hand). ",
"All in all the food was good - a little on the expensive side, but fresh. ",
"Service not the friendliest to our \"large party\"! ",
"Probably would not go back here."
] | [['restaurant miscellaneous', 'negative'], ['service general', 'negative'], ['drinks style_options', 'negative'], ['food quality', 'positive'], ['food style_options', 'negative'], ['food prices', 'negative'], ['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 | [
"Anybody who likes this place must be from a different planet, where greasy, dry and tasteless are complimentary.",
"The dosas are skimpy, unattractive and drip with grease, and personally I'd drink popcorn topping before I'd eat another one of these.",
"The sandwiches are dry, tasteless and way overpriced.",
"Calling the place Hampton Chutney Co. does warn you that these folks offer more style than substance, but in this unattractive room with unhelpful clerks there was a dearth of the former too."
] | [['food quality', 'negative'], ['food style_options', 'negative'], ['food prices', 'negative'], ['restaurant general', 'negative'], ['ambience general', '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 had a great time at the Jekyll and hyde Pub last night.",
"We were walking around the village and went into this place just for some drinks.",
"After really enjoying ourselves at the bar we sat down at a table and had dinner.",
"The server was really cool and served us our food and drinks with a smile.",
"The place's decor and hidden bathrooms made for a good laugh.",
"I highly recommend visiting this restaurant and having dinner and drinks!"
] | [['restaurant general', '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 | [
"Had a late night dinner on a Saturday night.",
"Great vibe, lots of people.",
"My husband and I both ordered the Steak, medium.",
"My husbands was perfect, my was well done and dry.",
"I didn't complain, I liked the atmosphere so much.",
"Will give it another chance before I write it off."
] | [['ambience general', 'positive'], ['food quality', 'conflict'], ['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 is incredibly tiny.",
"They refuse to seat parties of 3 or more on weekends.",
"The hostess is rude to the point of being offensive.",
"The food was bland oily.",
"I just don't understand all the hype..."
] | [['restaurant miscellaneous', 'negative'], ['service general', 'negative'], ['food quality', 'negative'], ['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 | [
"How is this palce still open?",
"I honestly don't even know where to begin.",
"My boyfriend and I are avid restaurant goers, and we are always on the lookout for new places and our friend had recommended Flatbush Farms.",
"We arrived and were seated immediately, which made us both happy.",
"We ordered our appetizers, I ordered the chicken and my boyfriend the salmon.",
"Everything was going good until we got our meals.",
"I took one look at the chicken and I was appalled.",
"It was served with skin, over a bed of extremely undercooked spinach and mashed potatoes.",
"My boyfriend asked me if I wanted to switch and eat his salmon instead, while he de-skinned the chicken so that I could enjoy the white meat.",
"I took one bite from the $24 salmon, and I have never, in the 17 years I have been going to restaurants tasted salmon as fishy, as dry, and as bland as the one in Flatbush Farms.",
"At this point, the waitress comes over and asks us if everything was okay, I was literally so shocked that I was speechless and didn't say anything, and guess what, the waitress WALKED away.",
"So, I switch with my boyfriend again to see if maybe I could stomach the meat and spinach again, but the spinach was so undercooked that I just could not bite through it.",
"I couldn't even enjoy the mashed potatoes because it was hidden completely under the chicken and spinach.",
"I've had better chicken at BBQs!!!!",
"So I decide to report back to the waitress because it was completely inedible.",
"Guess what, I waited for TWENTY minutes before she came over and when she finally did, she says, \"oh well, I wish you would have said something earlier\" No apology, nothing.",
"After that she simply took our plates, walked away, came back another TWENTY minutes later with the bill and the chicken on it!!!!!!!!!!!!",
"No desert menu, no apology, nothing!!!!!!",
"I was literally going to explode, but instead, my boyfriend took the bill and went to find the manager.",
"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.",
"Again, no apology, no is there anything else I can get you, no can I get you a drink to make up for it, nothing!!!!",
"We refused to pay for it because at this point it had nothing to do with the food anymore.",
"The level of rudeness was preposterous.",
"The manager came to the table and said we can do what we want, so we paid for what we did enjoy, the drinks and appetizers, and walked out.",
"I HAVE NEVER EVER HAD SUCH AN UNPLEASANT EXPERIENCE.",
"THIS STAFF SHOULD BE FIRED."
] | [['restaurant general', 'negative'], ['food quality', 'negative'], ['food style_options', 'negative'], ['food prices', 'negative'], ['service general', 'negative'], ['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've lived in NY for 5 years and this place has it all.",
"Great food, good size menu, great service and an unpretensious setting.",
"The dishes offered were unique, very tasty and fresh from the lamb sausages, sardines with biscuits, large whole shrimp to the amazing pistachio ice cream (the best and freshest I've ever had).",
"I'm glad I was introduced to this place and this is a rare gem in NY."
] | [['restaurant general', 'positive'], ['food quality', 'positive'], ['food style_options', 'positive'], ['service general', 'positive'], ['ambience general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"There is \"Expensive-but-worth-it\" and there is \"Expensive-and-WTF\"?",
"This is a twenty-something guy that doesn't mind laying down $300 for a fine and delicious meal for 2 on special occassions.",
"But $500 for a dinner for two that didn't include Wine?",
"Are you freaking kidding me?",
"Look, the appetizers were really good.",
"The entree was also very good.",
"Can't argue about that, but they are clearly over priced.",
"What you are paying for is the environment and the name.",
"Yes, the place is classy and beautiful, but they most certainly target the uber whealthy Not the common joe that wants to go all out every once in a while.",
"$500 included:",
"Drinks: 2 glasses of Dom Perignon at $35 each.",
"Starters: Kobe Beef Sashimi.",
"Which of course is not real Kobe but Wagyu beef.",
"Surprised that a place of this caliber would advertise it as Kobe.",
"A beef Consomme.",
"Entrees: Vanison steak and Bison Steak.",
"Vanison was good but not amazing.",
"Bison was quite excellent however.",
"Dessert: pure disaster.",
"Just not good at all.",
"Some Pineapple covered in a glaze of some kind and some pear tart thing Not impressive at all.",
"I read reviews that called the restaurant too expensive and I thought to myself, but may be it is worth it.",
"I was wrong.",
"The Four Seasons has history and it is a sort of landmark of New York City restaurants, but trust me, they will charge you through the nose just so that you can say \"I've been to the four seasons restaurant\".",
"I wanted to go there to see if it was worth it and sadly, curiousity got the best of me and I paid dearly for it.",
"All in all, the food was great (except for the dessserts).",
"The environment is very upscale and you will see a lot of rich guys with trophy wives or just highly paid escorts.",
"If you are going for the food, it will not be worth it.",
"Yes, it is good, but I've had better for cheaper.",
"You would think they would make up for it with service, sadly, no.",
"Service was just ok, it is not what you'd expect for $500."
] | [['food prices', 'negative'], ['food quality', 'conflict'], ['restaurant prices', 'negative'], ['ambience general', 'positive'], ['restaurant miscellaneous', 'negative'], ['food style_options', 'negative'], ['restaurant general', '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 | [
"I have been to Roth's twice and both times were very disappointing.",
"Once for dinner and once for brunch.",
"Both times I was extremely dissappointed by the service, which was boarderline rude.",
"They wouldnt even let me finish my glass of wine before offering another.",
"Much of the time it seems like they do not care about you.",
"The dinner was ok, nothing I would have again.",
"I had their eggs benedict for brunch, which were the worst in my entire life, I tried removing the hollondaise sauce completely that was how failed it was."
] | [['restaurant general', 'negative'], ['service general', '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 | [
"Go to Volare for 1st class service and terrific food.",
"The portions are large and the servers always surprise us with a different starter.",
"The wine list is excellent."
] | [['service general', 'positive'], ['food quality', 'positive'], ['food style_options', 'positive'], ['drinks style_options', '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 | [
"All the staff is absolutely professional!! ",
"I sometimes see the waiters don't have enough knowledge of their dishes.",
"But they do.",
"(that is A MUST, but not every restaurant can do...) ",
"If you want to dine with large party, I recommend to make reservation BASEMENT.",
"There's nice and quiet, small but enough for 6 (or more)."
] | [['service general', 'positive'], ['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 | [
"My wife and I ate here earlier this week and have not stopped ranting and raving about the food.",
"If you like spicy food get the chicken vindaloo.",
"It's very spicy but not offensive.",
"We will definitely go back."
] | [['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 | [
"Consistently good Japanese Tapas.",
"Same owner as the guy who owns Typhoon, which is just down the street on St. Marks and 1st Ave.",
"Always good drinks and service is pretty good;",
"Atmosphere is nice and relaxed too...",
"A great place to meet up for some food and drinks... ",
"Yakitori (bbq meats) is tasty too.",
"It's also attached to Angel's Share, which is a cool, more romantic bar..."
] | [['food quality', 'positive'], ['drinks quality', 'positive'], ['service general', 'positive'], ['ambience general', 'positive'], ['restaurant miscellaneous', '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 bestt!",
"my favorite place lol",
"i love their chicken pasta cant remember the name but is sooo good"
] | [['restaurant 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 | [
"Single Worst Restaurant in Manhattan",
"I'll being with a couple of positives: cool decor, good pita and hummus, and grilled octopus that was actually pretty tasty.",
"Moving on.",
"If I could give 0 stars I would do so for this place.",
"Casa La Femme is to middle eastern dining what Chuckie Cheeze is to italian.",
"The reason there are 4 different results on citysearch for the same place is because they keep trying to start a new thread so they can stock it with positive reviews.",
"Well...they can run but they can't hide.",
"I live in the West Village and I've been to a lot of restaurants.",
"Sometimes you pay a lot and don't get much in return - it's manhattan, things are expensive.",
"However, most of them are at least prompt and pleasant.",
"This place...god where do i begin.",
"It is quite a spectacular scene i'll give them that.",
"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!!!!",
"How this place survives the competitive west village market in this economy, or any other for that matter, is beyond me."
] | [['restaurant general', 'negative'], ['ambience general', 'positive'], ['food quality', 'positive'], ['restaurant miscellaneous', '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 | [
"When I'm feeling stressed by the noise and congestion around my office, I head for Cafe St. Bart's.",
"When you're sitting in their main dining room (which has a spectacular, hand-painted high ceiling) you'd never know there was a world outside.",
"The food is wonderful, tasty and filling, and the service is professional and friendly.",
"I can't wait for summer, when they serve outside on their gigantic patio.",
"Ahhh..."
] | [['ambience general', 'positive'], ['food quality', 'positive'], ['food style_options', 'positive'], ['service 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 | [
"What a great place!",
"Not the typical NYC gimmick theme restaurant.",
"A cool bar with great food, and tons of excellent beer.",
"And even with it's Pub atmosphere they were great to my kids too!",
"Loved it!"
] | [['restaurant general', 'positive'], ['ambience general', 'positive'], ['food quality', 'positive'], ['drinks quality', 'positive'], ['drinks 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 | [
"The food was actually aweful.",
"I'm not picky - but it was actually gross.",
"The mussles were the fishiest things I've ever tasted, the seabass was bland, the goat cheese salad was missing the goat cheese, the penne w/ chicken had bones in it... It was disgusting.",
"Nice atmosphere, the service was very pleasant and the desert was good.",
"Wouldn't recomend it for dinner!"
] | [['food quality', 'negative'], ['ambience general', 'positive'], ['service general', 'positive'], ['restaurant general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"The view is breathtaking the service is top notch... the ambiance is wonderfull.",
"The staff offers impeccable service.",
"I had Lobster Bisque it has 2 oz. of Maine Lobster in it.",
"My boyfriend had the New England Chowder it was good but I think the award should go to the Lobster Bisque.",
"I had Filet Mignon with garlic mash.",
"It was divine melts in your mouth.",
"My boyfriend had Prime Rib it was good .",
"We didn't want a bottle of bubbly on a weekday so we each got little bottles of Korbett it was just enough. ",
"We had Lava Cake... we ordered when our food came it takes at least a 1/2 to make it. ",
"It's cuz it's so good you need to taste it!!! ",
"All in all we're already coming up with excuses to go ahead really soon in the next few wks!!!!"
] | [['location general', 'positive'], ['service general', 'positive'], ['ambience general', 'positive'], ['food style_options', 'positive'], ['food quality', 'positive'], ['drinks style_options', '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 food is good, I can't lie.",
"But the staff was so horrible to us.",
"The hostess and the waitress were incredibly rude and did everything they could to rush us out.",
"We were planning to get dessert but the waitress basically through the bill at us before we had a chance to order.",
"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.",
"Save yourself the time and trouble and skip this one!"
] | [['food quality', 'positive'], ['service general', 'negative'], ['restaurant prices', 'negative'], ['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!",
"I've made the trip out here a few times with a friend who lives nearby (I live on UWS).",
"Though it's been crowded most times I've gone here, Bark always delivers on their food.",
"The hot dogs are top notch, and they're Slamwich is amazing!",
"Going to Bark is always worth the train ride, and will make your tongue and belly very happy!",
"Only complaint is the pricing--I believe it would be more reasonable to pay a dollar less on each item listed on the menu.",
"But nonetheless--great spot, great food."
] | [['food quality', 'positive'], ['restaurant miscellaneous', 'neutral'], ['restaurant general', '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 | [
"I was there on sat. for my birthday and we had an excellent time.",
"I had the best ravioli ever.",
"The wine the service was very good too.",
"Moderate prices.",
"A little noise but I think that was because of our party!"
] | [['restaurant general', 'positive'], ['food quality', 'positive'], ['drinks quality', 'positive'], ['service general', 'positive'], ['restaurant prices', 'neutral'], ['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 | [
"This is one of my favorite spot, very relaxing the food is great all the times , celebrated my engagement and my wedding here , it was very well organized .",
"The staff is very good.",
"Love their drink menu.",
"I highly recommend this beautiful place."
] | [['restaurant general', 'positive'], ['ambience general', 'positive'], ['food quality', 'positive'], ['restaurant miscellaneous', 'positive'], ['service general', '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 | [
"This is the kind of place you'd like to take all your friends to and still keep a secret.",
"The setting is casual and romantic.",
"Prices are very good.",
"The food is excellent! ",
"if you're daring, try the balsamic vinegar over icecream, it's wonderful!"
] | [['ambience general', 'positive'], ['restaurant prices', '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.",
"My wife and I always enjoy the young, not always well trained but nevertheless friendly, staff, all of whom have a story.",
"Sit outside in the warm weather; inside for cozy winter.",
"Decent wine at reasonable prices.",
"Have been dozens of times and never failed to enjoy the experience.",
"Our teenage kids love it, too."
] | [['restaurant general', 'positive'], ['ambience general', 'positive'], ['food quality', 'positive'], ['service general', 'positive'], ['drinks quality', 'neutral'], ['drinks prices', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"bad staff",
"I generally like this place.",
"The food is good.",
"The design of the space is good.",
"But the service is HORRID!",
"I was there for brunch recently, and we were tag teamed by a waitress and a waiter.",
"The waiter delivered our food while holding what appeared to be a plastic bag of garbage in one hand.",
"I can't believe that it was, but please put the bag down before delivering food!",
"The waitress came to check in on us every few minutes, and began to clear the plates while half of us were still eating (a big pet peeve of mine that happens almost everywhere, so I try to ignore it).",
"I couldn't ignore the fact that she reach over the plate of one of my friends, who was in mid bite, to clear the table.",
"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.",
"I wish I could like this place more, and I wish someone would retrain the staff."
] | [['service general', 'negative'], ['food quality', 'positive'], ['ambience general', 'positive'], ['restaurant general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"Authentic Taiwanese food that's cheap... what more could you ask for?",
"(Besides that there should be more restaurants like it around the city).",
"The cold appetizer dishes taste like the way I remember them to taste when I was growing up in Taiwan."
] | [['food quality', 'positive'], ['food prices', '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 | [
"Mizu is the Japenese find in Grammercy.",
"While their kitchen food is delicious, their Sushi is out of this world.",
"Mizu is home to creative and unique rolls not to found anywhere else.",
"Not only is the cuisine the best around, the service has always been attentive and charming.",
"Warning: You may find it difficult to dine at other Japanese restaurants after a visit to Mizu!"
] | [['restaurant general', 'positive'], ['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 | [
"I've been here twice now.",
"The first time the sushi was outstanding, the second time it was a little bland.",
"I'm sure I'll return for a final judgement tho.",
"The blond wood decor is very soothing, the premium sake is excellent and the service is great."
] | [['food quality', 'conflict'], ['restaurant general', 'positive'], ['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 | [
"Nice for one time special occasion.",
"Went for Mom's birthday brunch/lunch.",
"They honored reservation on Sunday afternoon very well. ",
"Be aware.",
"We were offered water for the table but were not told the Voss bottles of water were $8 a piece.",
"Food was OK.",
"Nice view of river and NYC."
] | [['restaurant miscellaneous', 'positive'], ['service general', 'positive'], ['drinks prices', 'negative'], ['food quality', 'neutral'], ['location 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 | [
"Gorgeous place ideal for a romantic dinner",
"I took my boyfriend for a dinner on saturday night.",
"I book a gorgeous white organza tent which included a four course prix fix menu which we enjoyed a lot.",
"The service was spectacular as the waiter knew everything about the menu and his recommendations were amazing!",
"I completely recommend Casa La Femme for any special occasion and to REALLY impress your date."
] | [['ambience general', 'positive'], ['restaurant miscellaneous', 'positive'], ['food quality', 'positive'], ['service 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 | [
"Patroon features a nice cigar bar and has great staff.",
"The food is tasty and portion sizes are appropriate.",
"This is a nice restaurant if you are looking for a good place to host an intimate dinner meeting with business associates.",
"Not a great place for family or general dining."
] | [['ambience general', 'positive'], ['service general', 'positive'], ['food quality', 'positive'], ['food style_options', 'positive'], ['restaurant miscellaneous', 'conflict'], ['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 | [
"Suan is a great place that I often take my friends (classmates) too.",
"Its location is good and the fact that Hutner College is near and their prices are very reasonable, makes students go back to Suan again and again.",
"I LOVE their Thai",
"noodles with shrimp and chicken and coconut juice is the MUST!",
"I was in love with Pongsri on 48th, but compared to Suan it is slow in service and overpriced.",
"I will go back to Suan soon!",
"In summer-eat outside on a terrace (another great feature of Suan)!!!"
] | [['restaurant general', 'positive'], ['location general', 'positive'], ['restaurant prices', 'positive'], ['food quality', 'positive'], ['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 | [
"i went to utsav about a yr ago with my family.",
"The food was good.",
"The place was nice and calm.",
"but the service was a bit slow."
] | [['food quality', 'positive'], ['ambience general', 'positive'], ['service general', '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 | [
"I absolutely Loved this place.",
"My friends spoke so much about it for months, I finally made the time to come down ear and dine in.",
"Excellent atmosphere, delicious dishes good and friendly service.",
"this is can became on e of the NY Italian Food fare institutions.",
"I think that it is absolutely brilliant and well runned business operation.",
"The wine list is also really nice."
] | [['restaurant general', 'positive'], ['ambience general', 'positive'], ['food quality', 'positive'], ['service general', '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 | [
"Taking Hot Dogs to the next level",
"At first glance this place seems a bit pricey for a hot dog joint, but at Bark you don't just get your average hot dog.",
"Here the hot dog is elevated to the level of a real entree with numerous variations available."
] | [['food quality', 'positive'], ['restaurant prices', 'negative'], ['food style_options', '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 | [
"Raymond the bartender rocks!",
"Pacifico is a great place to casually hang out.",
"The drinks are great, especially when made by Raymond.",
"The omlette for brunch is great...",
"the spinach is fresh, definately not frozen...",
"quacamole at pacifico is yummy, as are the wings with chimmichuri.",
"A weakness is the chicken in the salads.",
"It's just average, just shredded, no seasoning on it.",
"Also, I personally wasn't a fan of the portobello and asparagus mole.",
"Overall, decent food at a good price, with friendly people."
] | [['service general', 'positive'], ['restaurant miscellaneous', 'positive'], ['drinks quality', 'positive'], ['food quality', 'neutral'], ['food prices', '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 | [
"A friend from Seattle and I went on a Thursday night around 8:30.",
"Everything was wonderful; food, drinks, staff, mileau.",
"I would highly recommend this place!"
] | [['restaurant general', 'positive'], ['food quality', 'positive'], ['drinks 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 | [
"You cannot go wrong with this place.",
"The food is outstanding and the service is quick, friendly and very professional.",
"Always a nice crowd, but never loud.",
"Go here.",
"Good for dates or with friends."
] | [['restaurant general', 'positive'], ['food quality', 'positive'], ['service general', '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 | [
"With the exception of our lemon salad that had so much pepper on it that our eyes started watering, the food here was decent, not great.",
"The menu is very limited - i think we counted 4 or 5 entrees.",
"We ordered the special, grilled branzino, that was so infused with bone, it was difficult to eat.",
"The decor in this place is very diner-ish and the kind of place you expect in the East Village - not romantic, just simple, small and sparse.",
"Problem is nothing at Prune is particularly memorable.",
"No plans to return anytime soon."
] | [['food quality', 'negative'], ['food style_options', 'negative'], ['ambience general', 'neutral'], ['restaurant general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"I go and eat out at many different restaurants and this is one place you have go and try.",
"This is my first time writing a review for a restaurant because the food and service was excellent.",
"The filet mignon dish was superb!",
"I would defiantly come back here again as one of my top choices.",
"It's a small cute restaurant."
] | [['restaurant general', 'positive'], ['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 | [
"This was my frist time at Cafe St. Bart's and I must say how delicous the food and the service was.",
"When I called this morning, I didn't think I would be able to get in at 12, but I was able to get in, along with four other guests.",
"I have to highly recommend the lobster roll - not to much mayo; you can tell it was a fresh lobster.",
"Other guests enjoyed pizza, santa fe chopped salad and fish and chips.",
"I highly recommend Cafe St. Bart's for their food, the ambience and wonderful service."
] | [['food quality', 'positive'], ['service general', 'positive'], ['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 | [
"great taste",
"Great, original taste.",
"For me dishes a little oily, but overall dining experience good.",
"Helpful service and average price per dish $10.",
"The only thing that strikes you is the decor?(not very pleasant)."
] | [['food quality', 'positive'], ['restaurant general', 'positive'], ['service general', 'positive'], ['food prices', '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 | [
"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.",
"The restaurant has a Family feel, not least with regard to the portions which are enormous; the veal alone could have single-handedly solved third world famine.",
"The anti-pasta was excellent, especially the calamari, as were the filling pasta mains.",
"The wine list is extensive and can easily hike up an otherwise reasonably priced meal.",
"Still, any quibbles about the bill were off-set by the pour-your-own measures of liquers which were courtesey of the house..."
] | [['service general', 'positive'], ['ambience general', 'positive'], ['food style_options', 'positive'], ['food quality', 'positive'], ['drinks style_options', 'positive'], ['food prices', 'positive'], ['restaurant prices', 'neutral'], ['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 love th pink pony.",
"THe perfect spot.",
"Food-awesome.",
"Service- friendly and attentive.",
"Ambiance- relaxed and stylish.",
"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'], ['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 | [
"Loved It",
"My wife and I went to Water's Edge for a romantic dinner.",
"We had a very nice time.",
"The waiter was attentive, the food was delicious and the views of the city were great.",
"I'd definitely go back again."
] | [['restaurant general', 'positive'], ['service general', 'positive'], ['food quality', 'positive'], ['location general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"I started out with a Bombay beer which was big enough for two.",
"For dinner I had the chicken tikka-masala and some garlic naan.",
"MMmmm... it was delicious.",
"Service was slow, but the people were friendly.",
"It's a nice place to relax and have conversation.",
"I can't wait to go back."
] | [['drinks style_options', 'positive'], ['food quality', 'positive'], ['service general', 'conflict'], ['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 | [
"I work around the corner and tried it with a colleague for the first time.",
"The buffet had a nice selection.",
"The food was average or above including some surprising tasty dishes.",
"Service was also very good.",
"I would go back."
] | [['food style_options', 'positive'], ['food quality', 'positive'], ['service 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 | [
"Great Atmosphere",
"Went to this place this place on a real cold night and needed a quick meal.",
"I highly recommend the fish tacos, everything else was ok.",
"Cool atmosphere, the fire place in the back really ads to it but needs a bit more heat throughout on a cold night."
] | [['ambience general', 'conflict'], ['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 | [
"My friends and I were on vacation in NY and was referred to Chance by a friend.",
"I found the food to be outstanding, particulary the salmon dish I had.",
"I also ordered the Change Mojito, which was out of this world.",
"My friends settled for rice dishes, but we came back the following day to try the dim sum, which was good...not outstanding, but good.",
"We ate out in the back patio, which is worth it as it's cool and the music is hear well there.",
"Overall, excellent restaurant!"
] | [['food quality', 'positive'], ['drinks quality', 'positive'], ['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 | [
"Judging from previous posts this used to be a good place, but not any longer.",
"We, there were four of us, arrived at noon - the place was empty - and the staff acted like we were imposing on them and they were very rude.",
"They never brought us complimentary noodles, ignored repeated requests for sugar, and threw our dishes on the table.",
"The food was lousy - too sweet or too salty and the portions tiny.",
"After all that, they complained to me about the small tip.",
"Avoid this place!"
] | [['restaurant general', 'negative'], ['service general', 'negative'], ['food quality', 'negative'], ['food style_options', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"i have eaten here a handful of times, for no reason besides sheer convenience.",
"(i hang out, and live, in the neighborhood..) ",
"the food is decent.",
"however, it's the service that leaves a bad taste in my mouth.",
"i happen to have a policy that goes along with a little bit of self-respect, which includes not letting a waiter intimidate me, i.e. make me feel bad asking for trivialities like water, or the check.",
"i know, you were too busy showing off your vintage tee shirt and looking bored, but my agenda is i'm here to eat and enjoy the company of friends, seeking a pleasant experience.",
"well, i didn't find it there, and trust, i have told everyone i can think of about my experience. ",
"the last time i walked by it looked pretty empty. hmmm."
] | [['food quality', 'neutral'], ['service general', 'negative'], ['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 | [
"Best Reuben sandwich ever!",
"A classic!",
"Don't miss Bloom's on your next trip to Manhatten.",
"It was the first place we ate on our first trip to New York, and it will be the last place we stop as we head out of town on our next trip to New York.",
"Thanks Bloom's for a lovely trip."
] | [['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 | [
"Best Indian Restaurant in the City",
"Decor needs to be upgraded but the food is amazing!"
] | [['restaurant general', 'positive'], ['ambience general', 'negative'], ['food quality', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"Myagi is one of my favorite restaurants in the City; the place the negative reviews describe sound like they were somewhere else.",
"I've never had bad service and the fish is fresh and delicious.",
"Their tuna tartar appetizer is to die for."
] | [['restaurant general', 'positive'], ['service general', 'positive'], ['food quality', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
||
generation | semeval-2016 | [
"The view is spectacular, and the food is great.",
"Wonderful strawberry daiquiries as well!",
"Definitely worth the trip to Battery Park City!",
"One of my favorite places in Manhattan."
] | [['location general', 'positive'], ['food quality', 'positive'], ['drinks 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 | [
"Overpriced and not tasty ",
"The food here was mediocre at best. ",
"It was totally overpriced- fish and chips was about $15.... ",
"There are so many other great places to go to eat and drink..... this place is not worth it..."
] | [['food prices', 'negative'], ['food quality', 'negative'], ['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 | [
"Super YUMMY Pizza!",
"I was visiting New York City with a friend and we discovered this really warm and inviting restaurant.",
"I LOOOVE their eggplant pizza, as well as their pastas!",
"We had half/half pizza, mine was eggplant and my friend had the buffalo and it was sooo huge for a small size pizza!",
"We had fun eating in there, we were there like around 3 a.m. in the morning!",
"Will comeback for sure, wish they have it here in LA.."
] | [['food quality', 'positive'], ['ambience general', 'positive'], ['food style_options', '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 | [
"As a fan of Thai, I have tried quite a few different restaurants in NYC and this one was definitely the worst.",
"The food was not fresh, the sauces were bland and very oily.",
"It just wasn't Thai."
] | [['food quality', 'negative'], ['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 | [
"Faan is sooo good.",
"The best pad thai i've ever had.",
"The design and atmosphere is just as good.",
"bottles of wine are cheap and good.",
"What more could you want?"
] | [['restaurant general', 'positive'], ['food quality', 'positive'], ['ambience general', 'positive'], ['drinks prices', 'positive'], ['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 | [
"Love the scene first off- the place has a character and nice light to it..very fortunate, location wise.",
"The pizza was pretty good and huge.",
"The price very reasonable.",
"We were 4 and got the family size penne a la vodka which was tremendously gigantic portion...a bucket of food literally.",
"We got most of it back at home with us.",
"I would say that all was fine and tasty but the heaviness on my stomach someting that i can't not mention or undermine.",
"The pasta penne was pretty extra buttery, creamy which means a big task to diggest.. tasty at first but i would say that i was full with a slice of pizza and 7 to count, penne...got a little moody afterwards cause was stuffed...lol"
] | [['ambience general', 'positive'], ['location general', 'positive'], ['food quality', 'conflict'], ['food style_options', 'positive'], ['restaurant prices', '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 | [
"I will only buy apple laptops from now on."
] | [['company 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 | [
"keys are all in weird places and is way too large for the way it is designed."
] | [['keyboard design_features', 'negative'], ['laptop design_features', '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 | [
"Now the speed is disappointing."
] | [['laptop operation_performance', '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 haven't had any major problems with the laptop except that the plastic piece that covers the usb port wires have all come off."
] | [['laptop general', 'positive'], ['ports 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 | [
"I will be returning it."
] | [['laptop 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 | [
"It's more expensive but well worth it in the long run."
] | [['laptop price', 'negative'], ['laptop 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 a necessity, but something I've come to expect."
] | [['laptop design_features', '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 | [
"fast easy"
] | [['laptop operation_performance', 'positive'], ['laptop usability', '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 touchpad is extremely sensitive, which is the only drawback."
] | [['mouse operation_performance', 'negative'], ['laptop 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 | [
"Then they had me jump through many hoops and questions to see if they could find another way to invalidate me."
] | [['support 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 | [
"*IF YOU ARE LOOKING FOR A GOOD LAPTOP, THIS IS NOT IT!"
] | [['laptop 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 screen is huge and coloful, but no LED backlighting."
] | [['display design_features', 'negative'], ['display design_features', '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, tey don't even support their own bios and it \"could be a problem with the bios\" How can a company that makes a fairly decent product get away with such insanity??!!"
] | [['support 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 | [
"I have a little bit of a learning curve with the keyboard shortcuts."
] | [['keyboard usability', '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 | [
"Now I have dual booted my laptop to Windows 8.1 and Ubuntu 14.04 and it's not got too slow either."
] | [['laptop operation_performance', '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 more like a snail crawl."
] | [['laptop operation_performance', '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']] |