task_type stringclasses 1
value | dataset stringclasses 1
value | input list | output stringlengths 40 314 | situation stringclasses 1
value | label stringclasses 1
value | extra stringclasses 1
value | instruction stringclasses 2
values |
|---|---|---|---|---|---|---|---|
generation | mams | [
"The waitress/hostess seemed a bit sad when we told her we weren't ordering dessert (those arepas are deceptively filling!"
] | [['waitress/hostess', 'negative'], ['dessert', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"The food was ok, good bread."
] | [['food', 'neutral'], ['bread', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"I am a martini guy - vodka, not gin - and their classic martini with blue cheese olives is pretty damn near definitive."
] | [['martini guy', 'neutral'], ['martini with blue cheese olives', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"While I would agree with the initial review that Asia de Cuba isn't really Asian or Cuban in its decor, the food was a nice fusion."
] | [['decor', 'neutral'], ['food', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"In fact, you can't really say you've arrived in this town until you've scored a table here and made the pilgrimage to east Harlem for luscious pastas and chicken in vinegar and lemon."
] | [['table', 'neutral'], ['pastas', 'positive'], ['chicken in vinegar', 'neutral'], ['lemon', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"The waitstaff was helpful but watch out, after you pay your hefty bill managment will ask you to leave if they think you've lingered too long."
] | [['waitstaff', 'positive'], ['bill', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"The Setting The exposed brick and tangerine walls, flickering candles and tiny bar cast a formal mood across this cozy Park Slope trattoria, but the high ceiling fans and two glass walls (left open in warm weather) add a casual breeziness."
] | [['Setting', 'neutral'], ['candles', 'neutral'], ['bar', 'positive'], ['ceiling', 'positive'], ['breeziness', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"We made reservations for 6pm on Friday and it was not necessary BUT the place got packed really quick around 7-8pm."
] | [['reservations', 'neutral'], ['place', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"Other than its impossible reservation (no matter how many months you call in advance, the only available time slots for dinner on a Saturday are always 4:45 or 9:45), Peter Luger is worth the drive over to Brooklyn."
] | [['reservation', 'negative'], ['dinner', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"The pooris were miniscule, about 2 bites each; they serve 4 of those as a dinner for $25!"
] | [['pooris', 'negative'], ['dinner', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"Highly suggest you sit at the bar for added atmosphere and generally friendly people."
] | [['bar', 'neutral'], ['atmosphere', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"As a lover of everything humus and cucumber, there is no other restaurant in the city that compares to Mogador's appetizers."
] | [['humus', 'positive'], ['cucumber', 'positive'], ['appetizers', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"A great coal fired crust provides a backyard BBQ taste."
] | [['crust', 'positive'], ['backyard BBQ taste', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"Although the food was great, the service was so bad that I can't see myself ever returning."
] | [['food', 'positive'], ['service', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"Tried to get a table during restaurant week but there was an over an hour wait."
] | [['table', 'neutral'], ['wait', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"The fresh mozzerella appetizer had to be the runniest mozz I have ever had, and the accompanying tomato was so over-salted I could barely eat it."
] | [['mozzerella appetizer', 'positive'], ['accompanying tomato', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"The cultured wait staff were accommodating and helped explain and pronounce the items off the menu."
] | [['cultured wait staff', 'positive'], ['menu', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"A cocky, arrogant and shockingly condescending manager (all of 22 years-old) then told us we should leave the restaurant if we wouldn't move to the bar."
] | [['manager', 'negative'], ['bar', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"When I saw it on the menu I didn't beleive it and was not expecting the real thing."
] | [['menu', 'neutral'], ['thing', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"You can undoubtedly get better food and service for the price at other places, but certainly not with those views!"
] | [['food', 'positive'], ['price', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"When I complained regarding the poor tiramisu, the waitress made a flip comment regarding the fact that I shouldn't order an italian dessert in an irish restaurant."
] | [['tiramisu', 'negative'], ['waitress', 'negative'], ['dessert', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"We held a birthday dinner for my friend and were very impressed w/ both food and service."
] | [['dinner', 'neutral'], ['food', 'positive'], ['service', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"My favorite dishes all involved squash of some kind, which i would not expect to love."
] | [['dishes', 'positive'], ['squash', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"The restaurant appears clean and the food was fine until my dining partner discovered pieces of chicken about half way through her vegetarian dish."
] | [['dining', 'neutral'], ['chicken', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"The waitresses and the diners have to scream at one another to give an order."
] | [['waitresses', 'negative'], ['diners', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"We a menu that rearely changes,e xcept for one or two specials, the quality and care they put in thier food in evident."
] | [['quality', 'positive'], ['care', 'positive'], ['food', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"This Raku provided fresh and sumptuous sushi, sashimi, and deliciously prepared cooked entrees, which did much to alleviate my jitters about fishing (or dining, as it were) in unfamiliar waters."
] | [['sushi', 'positive'], ['sashimi', 'positive'], ['entrees', 'positive'], ['dining', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"When we sat, our waiter came over immediately and recommended the snapper and the pho-- some of the tastiest I've had, and I went to Tu Lan 3x a week in San Francisco."
] | [['waiter', 'positive'], ['snapper', 'neutral'], ['pho', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"Had an OK dinner that was made better by the attention the owners pay to the patrons."
] | [['dinner', 'neutral'], ['owners', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"I must start by stating plainly that I love Jeollado, but it is loud, the service is bad, but the rolls are great and it is the best deal (CHEAP) in town."
] | [['service', 'negative'], ['rolls', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"We sat near the sluggish, hot and very loud kitchen and the service area was not wiped down once during the entire time."
] | [['kitchen', 'negative'], ['time', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"Unfortunately, the food is awful, the staff really doesnt care about you, and the frozen hot chocolate is just a chocolate milkshake (it wasnt all that great) I went before lunch on a Thursday and it took me 2 hours to get in."
] | [['food', 'negative'], ['staff', 'negative'], ['frozen hot chocolate', 'negative'], ['chocolate milkshake', 'negative'], ['lunch', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"There might be a wait for brunch or even for dinner, but the quality of the food is always worth the wait."
] | [['brunch', 'neutral'], ['dinner', 'neutral'], ['quality of the food', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"The service, which was horrendous - they charged us for two appetizers when we asked to split one (when we brought it up, he insisted that the appetizer really did only consist of 2 sliced tomatoes and 1 slice of cheese)."
] | [['service', 'negative'], ['appetizers', 'neutral'], ['slice of cheese', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"It was a crowded Wednesday night but we were seated near the kitchen right away, talked to all of the staff who were friendly and made the evening special for my date and I."
] | [['staff', 'positive'], ['special', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"The $9 glass of wine which the waitress called good was like grape juice with alcohol and no sugar."
] | [['glass of wine', 'neutral'], ['waitress', 'negative'], ['grape juice', 'neutral'], ['alcohol', 'neutral'], ['sugar', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"The waitresses are at your table filling your water or oil before your last sip or dip."
] | [['waitresses', 'positive'], ['water', 'neutral'], ['oil', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"I managed to get the last reservation at 11:15pm during the week, and, upon entering the restaurant, my boyfriend and I were seated next to each other, hardly a romantic atmosphere!"
] | [['reservation', 'neutral'], ['atmosphere', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"The upside of the smallish portions is that a good sake can do a better job working over one's date, and you don't leave the table w/ a food coma."
] | [['portions', 'negative'], ['table', 'neutral'], ['food', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"Personally, I like my food fresh, so you just have to tell the waiter that you would like to order by ear."
] | [['food', 'positive'], ['waiter', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"I and 3 friends went there last night for dinner and loved the food, which I have to say was uniformly outstanding and some of the best I've had for under a zillion dollars in a long time."
] | [['dinner', 'neutral'], ['food', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"Then we were seated at a large booth and it took the waiter 20 minutes to come back and take our order but I sort of expected that with a new restaurant."
] | [['booth', 'positive'], ['waiter', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"The mint love letters and spaghettini primi we ordered as entrees were perfection."
] | [['letters', 'positive'], ['primi', 'positive'], ['entrees', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"the waiter was extremely helpful, basically we gave him carte blanche to order small plates for us that he thought we'd like."
] | [['carte', 'neutral'], ['plates', 'neutral'], ['waiter', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"No doubt, the lobster bisque will knock your socks off, but you'd be cheating yourself if you didn't try some of the other options, specifically the sausage gumbo and the veal ghoulash really lit my fire."
] | [['lobster bisque', 'positive'], ['sausage gumbo', 'negative'], ['veal', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"Their service needs some work, but it is safe to say that you will enjoy the food."
] | [['service', 'negative'], ['food', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"I have worked in the restaurant industry for 5 years, and so am understanding of things out of my server's control, and I have never experienced such poor service!"
] | [['server', 'neutral'], ['service', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"I had one of the worst service experiences in memory having the prix fix brunch there--waving arms, calling, asking two or three times for everything from coffee to the check."
] | [['service', 'negative'], ['brunch', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"I love deviled eggs, a BBQ staple - but I'll be damned if serving two eggs (four VERY small halves) qualifies as an appetizer."
] | [['BBQ', 'positive'], ['appetizer', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"Food is decent but portions are so tiny and the whole meal is served on huge plate which makes it look even more ridiculous."
] | [['Food', 'positive'], ['portions', 'negative'], ['meal', 'negative'], ['served', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"The Scene The entrance leads into a dim, narrow bar decorated with sake bottles, exposed brick and a beautiful arched wooden ceiling."
] | [['Scene', 'neutral'], ['bar', 'negative'], ['sake', 'neutral'], ['ceiling', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"Nothing on the menu jumped out at me, but when we tasted the chicken and the pork tenderloin."
] | [['menu', 'negative'], ['pork tenderloin', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"Our waiter fast to get our drinks, aptz, and orders."
] | [['waiter', 'positive'], ['drinks', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"And don't forget to try the Korean rice wine to go with your dinner (Sansachun is one of my favorite)."
] | [['Korean rice wine', 'positive'], ['dinner', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"I have tried to make reservations, but both times, the hostess didn't have my name."
] | [['reservations', 'neutral'], ['hostess', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"We had to ask for the bill twice, and our water was refilled only when we asked for it."
] | [['bill', 'neutral'], ['water', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"The salmon carpaccio was just bland lox over a bed of unseasoned spinich, the NY strip steak was not a good cut of meat, the fish special, snapper, was tough and flavorless, and the key lime pie for dessert tasted like it was from a supermarket."
] | [['salmon carpaccio', 'negative'], ['lox', 'negative'], ['steak', 'neutral'], ['meat', 'negative'], ['fish special', 'negative'], ['key lime pie', 'negative'], ['dessert', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"Appetizers were OK, steak was not as good as what I would have prepared at home on the grill."
] | [['Appetizers', 'positive'], ['steak', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"I've been a few times for dinner and dessert and the food is always old-tasting and bland."
] | [['dinner', 'neutral'], ['food', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"words can't even describe how delicious that dessert was post a bottle of wine and pesto ravioli."
] | [['dessert', 'positive'], ['pesto ravioli', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"Forget what it was called, but it had some kind of onion puree on top that ROCKED and the steak was a grass-fed organic type and very tender."
] | [['onion puree', 'neutral'], ['steak', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"For example, the last time I was there the bartender seemed visibly irritated that I would ask him for a drink instead of the waitress."
] | [['bartender', 'negative'], ['drink', 'neutral'], ['waitress', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"We waited half an hour just to get menus, and watched another table of 10 people leave because they had been ignored by the (single) waiter."
] | [['menus', 'neutral'], ['waiter', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"The staff were all partying with each other at the bar, so even though we were the only ones there for food, it took 15 minutes to get menus."
] | [['staff', 'negative'], ['bar', 'neutral'], ['menus', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"It is the only all Austrian wine list in the country and the waitress gladly broke it down for me, so I could find just the right wine for my meal."
] | [['wine list', 'neutral'], ['waitress', 'positive'], ['meal', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"but no reservations makes for a very long wait, usually of an hour."
] | [['reservations', 'neutral'], ['wait', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"I was shocked by the amount of butter used in the pork and lamb dishes -- the smell of butter was literally wafting off the plate!"
] | [['smell of butter', 'negative'], ['plate', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"dining with my mother this past Saturday must have signaled to the wait staff that I wasn't cool enough to merit their attention."
] | [['dining', 'neutral'], ['wait staff', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"The wait for brunch is kinda long (what can you say?"
] | [['wait', 'negative'], ['brunch', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"The seafood sausage is ok, but the rest of the appetizers outshine them."
] | [['seafood sausage', 'neutral'], ['appetizers', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"The waiter handed us menus consisting of about 7 entrees, and after telling us the specials, informed us that there was no chicken."
] | [['waiter', 'neutral'], ['entrees', 'neutral'], ['specials', 'neutral'], ['chicken', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"The Food Pies come in three sizes, from a petite five inches (perfect for the solo diner) up to 10."
] | [['Food Pies', 'neutral'], ['diner', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"best chicken in queens."
] | [['chicken', 'positive'], ['queens', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"The ambience is extremely romantic, even if you get seated upstairs."
] | [['ambience', 'positive'], ['upstairs', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"Just be sensible, if the wait is 45 minutes or longer--just have sushi there some other time, and eat something else that night."
] | [['wait', 'negative'], ['sushi', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"I don't know why people complain about the service - our waiter brought our drinks and food out promptly."
] | [['waiter', 'positive'], ['drinks', 'neutral'], ['food', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"My dining companion had a steak with so much fat on it that he had to send back it."
] | [['dining', 'neutral'], ['steak', 'neutral'], ['fat', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"the 3rd however, the waiter forgot to put in our order for food and we ended up waiting an hour for them (b/c they were really busy)."
] | [['waiter', 'negative'], ['food', 'neutral'], ['waiting', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"I have been a waiter for many years and I can tell you that if bad service is given you at least apologize to the costumer."
] | [['waiter', 'neutral'], ['service', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"Waited an hour for the food to come out, couldnt even find the waitress."
] | [['food', 'neutral'], ['waitress', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"When one of our party brazenly asked to substitue a flavor of gelato for one of the desserts on the menu, the waiter snobbishly told us that, Mario and the chef don't like to do that."
] | [['desserts', 'neutral'], ['menu', 'neutral'], ['waiter', 'negative'], ['chef', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"The decor is nothing great to speak of, but who cares - the food is top notch."
] | [['decor', 'negative'], ['food', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"The Food The seafood-dominant fusion menu features standout starters, like super-fresh raw bar oysters, crispy citrus-pepperoncini calamari and flaky lobster-mushroom tart with fiery chorizo and caramelized onions."
] | [['seafood-dominant fusion menu', 'neutral'], ['lobster-mushroom tart with fiery chorizo', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"Even though we complained several times, they brought us the bill before dessert and the manager came to our table to mention he was closing the place for the night."
] | [['bill', 'neutral'], ['dessert', 'neutral'], ['manager', 'negative'], ['table', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"I forget the name of the dish but anyone going here must get the shrimp cooked in molases and rum."
] | [['dish', 'neutral'], ['shrimp', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"My wife and I invited our friends to a late dinner and were having drinks afterwards when the manager instructed the waitress not to serve us any more drinks as it was bottle service."
] | [['dinner', 'neutral'], ['waitress', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"Wait staff started swarming around us as if we just ordered cokes throughout lunch."
] | [['Wait staff', 'negative'], ['lunch', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"I read the high reviews for Lombardi's and John's, and disliked the pizza I got at both places, so Grimaldi's was my last try at finding the perfect pie in NYC."
] | [['pizza', 'negative'], ['pie', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"When I questioned the purpose of waiting on this line, I was asked to leave the bar."
] | [['waiting', 'neutral'], ['bar', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"This is definately a place to go for drinks and then get dinner somewhere else!"
] | [['drinks', 'positive'], ['dinner', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"Our server, Ben, was perhaps the best waiter I've ever had--he walked us through the menu to design our meal, and suggested what textures, tastes, and wines would complement each other."
] | [['waiter', 'positive'], ['menu', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"In the hour we waited for our food we had to remind our mentally challenged waitress 3times to bring our chipssalsa."
] | [['food', 'neutral'], ['waitress', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"The kitchen is fast, but you sometime may have trouble getting a seat, since this place is very small."
] | [['kitchen', 'positive'], ['seat', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"I met a client here and wasn't expecting much but after the lunch was over, I was pleasantly surprised with the quality of the meal and the price point."
] | [['lunch', 'neutral'], ['quality', 'positive'], ['meal', 'positive'], ['price point', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"Good date place too, if the date isn't prissy about food (I'll marry the woman who splits the grilled sardines with me)."
] | [['food', 'negative'], ['grilled sardines', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"The menu is short and sweet: hamburgers, cheeseburgers and double cheeseburgers, with all-beef patties steam-grilled on a pile of onions and served on square white buns with pickles."
] | [['menu', 'positive'], ['patties steam-grilled', 'neutral'], ['onions', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"We also tried grilled chicken (not bad), fried whiting (fried too long, very greasy), taramasolata (too salty), chicken rice soup (oily mess), and an OK Greek salad."
] | [['grilled chicken', 'positive'], ['fried whiting', 'negative'], ['chicken rice soup', 'negative'], ['Greek salad', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"True, the menu doesn't offer a wide range of choices and portions are not la all-you-can-eat, buffet style (but is that a negative thing after all?"
] | [['menu', 'neutral'], ['portions', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"I went recently for brunch and will never go back - my glass of wine was vinegary and obviously old, my food gummy and disgusting, and the service totally ditzy."
] | [['brunch', 'neutral'], ['glass of wine', 'negative'], ['service', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... | ||
generation | mams | [
"Food was served very promptly, but our wait for drinks was surprisingly long."
] | [['served', 'positive'], ['wait', 'negative'], ['drinks', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is ... |
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