task_type
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generation | semeval-2014 | [
"Service is great, takeout is good too."
] | {'aspect_term': [['Service', 'positive'], ['takeout', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"overall, a solid restaurant and at less than $40pp (including wine), a solid deal as well."
] | {'aspect_term': [['wine', 'neutral']], 'aspect_category': [[None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Aside from the Sea Urchin, the chef recommended an assortment of fish including Fatty Yellow Tail, Boton Shrimp, Blue Fin Torro (Fatty Tuna), Sea Eel, etc."
] | {'aspect_term': [['chef', 'neutral'], ['assortment of fish', 'neutral'], ['Fatty Yellow Tail', 'neutral'], ['Boton Shrimp', 'neutral'], ['Sea Eel', 'neutral'], ['Sea Urchin', 'neutral'], ['Blue Fin Torro (Fatty Tuna)', 'neutral']], 'aspect_category': [[None, 'neutral'], [None, 'neutral'], [None, 'neutral'], [None, 'neutral'], [None, 'neutral'], [None, 'neutral'], [None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"kalbi and nebbiolo do work together."
] | {'aspect_term': [['kalbi', 'neutral'], ['nebbiolo', 'neutral']], 'aspect_category': [[None, 'neutral'], [None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Located at the end of a magnificent block."
] | {'aspect_term': [['Located', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Food is usually very good, though ocasionally I wondered about freshmess of raw vegatables in side orders."
] | {'aspect_term': [['Food', 'conflict'], ['raw vegatables', 'negative']], 'aspect_category': [[None, 'conflict'], [None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The bruscetta is a bit soggy, but the salads were fresh, included a nice mix of greens (not iceberg) all dishes are served piping hot from the kitchen."
] | {'aspect_term': [['bruscetta', 'negative'], ['salads', 'positive'], ['dishes', 'positive'], ['mix of greens', 'positive'], ['iceberg', 'neutral'], ['served', 'positive']], 'aspect_category': [[None, 'negative'], [None, 'positive'], [None, 'positive'], [None, 'positive'], [None, 'neutral'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"This place is not worth the prices."
] | {'aspect_term': [['prices', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The decor is vibrant and eye-pleasing with several semi-private boths on the right side of the dining hall, which are great for a date."
] | {'aspect_term': [['decor', 'positive'], ['dining hall', 'positive'], ['semi-private boths', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"I got an excellent piece of cheesecake and we had several other nice pastries."
] | {'aspect_term': [['cheesecake', 'positive'], ['pastries', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"I like the somosas, chai, and the chole, but the dhosas and dhal were kinda dissapointing."
] | {'aspect_term': [['somosas', 'positive'], ['chai', 'positive'], ['chole', 'positive'], ['dhosas', 'negative'], ['dhal', 'negative']], 'aspect_category': [[None, 'positive'], [None, 'positive'], [None, 'positive'], [None, 'negative'], [None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"We ordered a tuna melt - it came with out cheese which just made it a tuna sandwich."
] | {'aspect_term': [['tuna melt', 'negative'], ['cheese', 'neutral'], ['tuna sandwich', 'negative']], 'aspect_category': [[None, 'negative'], [None, 'neutral'], [None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The sicilian is my favorite it is moist not dry like most places but all their pizza is great!"
] | {'aspect_term': [['pizza', 'positive'], ['sicilian', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The food is definitely good, but I left a bit disappointed."
] | {'aspect_term': [['food', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The chicken and steak were seasoned and cooked to perfection, and the lamb sandwhich is great for heartier appetites."
] | {'aspect_term': [['chicken', 'positive'], ['steak', 'positive'], ['lamb sandwhich', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Not too crazy about their sake martini."
] | {'aspect_term': [['sake martini', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Got club soda, filled with ice, no lime."
] | {'aspect_term': [['club soda, filled with ice, no lime', 'neutral']], 'aspect_category': [[None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Also good for client lunch meetings, esp."
] | {'aspect_term': [['lunch meetings', 'neutral']], 'aspect_category': [[None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Good, dark atmosphere and the music is a nice touch."
] | {'aspect_term': [['atmosphere', 'positive'], ['music', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Grilled whole fish wonderful, great spicing."
] | {'aspect_term': [['fish', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"For the people who want great food plus great service, Roxy is a place to AVOID!"
] | {'aspect_term': [['food', 'negative'], ['service', 'negative']], 'aspect_category': [[None, 'negative'], [None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Each table has a pot of boiling water sunken into its surface, and you get platters of thin sliced meats, various vegetables, and rice and glass noodles."
] | {'aspect_term': [['table', 'neutral'], ['pot of boiling water', 'neutral'], ['meats', 'neutral'], ['vegetables', 'neutral'], ['rice', 'neutral'], ['glass noodles', 'neutral']], 'aspect_category': [[None, 'neutral'], [None, 'neutral'], [None, 'neutral'], [None, 'neutral'], [None, 'neutral'], [None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The food is good, I can't lie."
] | {'aspect_term': [['food', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Stick to the gulab jamun."
] | {'aspect_term': [['gulab jamun', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Kind of a small place but I guess if they are not too busy might be able to fit a group or kids."
] | {'aspect_term': [['place', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"They have it all -- great price, food, and service."
] | {'aspect_term': [['price', 'positive'], ['food', 'positive'], ['service', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"I wasn't thrilled to have to wait on line for thirty minutes, but I guess that's the price you pay for a popular place."
] | {'aspect_term': [['wait', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"I've been to this restaurant more than a dozen times and when I'm craving for Pho, Lemon grass chicken or Beef Cube on rice, this is the place to go."
] | {'aspect_term': [['Pho', 'positive'], ['Lemon grass chicken', 'positive'], ['Beef Cube on rice', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"However, service was as plain as sesame crusted Salmon I had."
] | {'aspect_term': [['service', 'neutral'], ['sesame crusted Salmon', 'neutral']], 'aspect_category': [[None, 'neutral'], [None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Yes you have to wait to be seated and because its small there is no waiting area and the seat at the bar was all taken."
] | {'aspect_term': [['waiting area', 'negative'], ['seat', 'negative'], ['bar', 'neutral'], ['wait', 'negative']], 'aspect_category': [[None, 'negative'], [None, 'negative'], [None, 'neutral'], [None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"We are very particular about sushi and were both please with every choice which included: ceviche mix (special), crab dumplings, assorted sashimi, sushi and rolls, two types of sake, and the banana tempura."
] | {'aspect_term': [['sushi', 'positive'], ['ceviche mix (special)', 'positive'], ['crab dumplings', 'positive'], ['assorted sashimi', 'positive'], ['sushi', 'positive'], ['rolls', 'positive'], ['sake', 'positive'], ['banana tempura', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive'], [None, 'positive'], [None, 'positive'], [None, 'positive'], [None, 'positive'], [None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The counter service is bad."
] | {'aspect_term': [['counter service', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"I need at least three rolls to be full, and that's at least $14.00!"
] | {'aspect_term': [['rolls', 'neutral']], 'aspect_category': [[None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Their exotic salad is basic ly a delcious little green salad with a peanut sauce that is perfect before their sweet basil fried tofu."
] | {'aspect_term': [['exotic salad', 'positive'], ['green salad', 'positive'], ['sweet basil fried tofu', 'positive'], ['peanut sauce', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive'], [None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"An excellent service"
] | {'aspect_term': [['service', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"If you're craving for Haru's great food, especially the House Roll, but can't stand the wait building outisde, head across the street to their Sake Bar!"
] | {'aspect_term': [['food', 'positive'], ['wait building', 'negative']], 'aspect_category': [[None, 'positive'], [None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"my picks: Guizhou chicken, fish with hot bean source, fish fillet in spicy source (special menu)."
] | {'aspect_term': [['Guizhou chicken', 'positive'], ['fish with hot bean source', 'positive'], ['fish fillet in spicy source', 'positive'], ['special menu', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive'], [None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Waiters tend to forget drinks completely, food portions are so tiny, two people have trouble sharing one entree."
] | {'aspect_term': [['Waiters', 'negative'], ['food portions', 'negative'], ['drinks', 'neutral'], ['entree', 'negative']], 'aspect_category': [[None, 'negative'], [None, 'negative'], [None, 'neutral'], [None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The portions are now very small, the sauces are overly-ambitious usually inedible while the service is still good, the restaurant, due to its popularity, seems frantic."
] | {'aspect_term': [['portions', 'negative'], ['sauces', 'negative'], ['service', 'positive']], 'aspect_category': [[None, 'negative'], [None, 'negative'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"If anyones has doubt of not knowing enough about wines,please check their wine list."
] | {'aspect_term': [['wines', 'neutral'], ['wine list', 'positive']], 'aspect_category': [[None, 'neutral'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The crackling calamari salad, which is usually a cheap disaster at many restaurants, is crispy and lightly dressed."
] | {'aspect_term': [['crackling calamari salad', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The lava cake dessert was incredible and I recommend it."
] | {'aspect_term': [['lava cake dessert', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The steak was very fatty and the sauce was overpowering and not very tasty."
] | {'aspect_term': [['steak', 'negative'], ['sauce', 'negative']], 'aspect_category': [[None, 'negative'], [None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Even if the food wasn't this good, the garden is a great place to sit outside and relax."
] | {'aspect_term': [['food', 'positive'], ['garden', 'positive'], ['place', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"And I would have to agree with the masses in terms of service - delivery is their Achilles' heel."
] | {'aspect_term': [['service', 'negative'], ['delivery', 'negative']], 'aspect_category': [[None, 'negative'], [None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The food was actually aweful."
] | {'aspect_term': [['food', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Some servers make you feel like they are doing you a favor to bring you the food."
] | {'aspect_term': [['servers', 'negative'], ['food', 'neutral']], 'aspect_category': [[None, 'negative'], [None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"word of advice, save room for pasta dishes and never leave until you've had the tiramisu."
] | {'aspect_term': [['pasta dishes', 'positive'], ['tiramisu', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The food was delicious but do not come here on a empty stomach."
] | {'aspect_term': [['food', 'conflict']], 'aspect_category': [[None, 'conflict']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Growing up in NY, I have eaten my share of bagels."
] | {'aspect_term': [['bagels', 'neutral']], 'aspect_category': [[None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"As much as I like the food there, I can't bring myself to go back."
] | {'aspect_term': [['food', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Nicky the Nose at the bar is a treat."
] | {'aspect_term': [['bar', 'neutral']], 'aspect_category': [[None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The dim sum is ok but doesn't taste that fresh, and the little dishes don't look steamy hot as they should (also note lack of Chinese here)."
] | {'aspect_term': [['dim sum', 'negative'], ['little dishes', 'negative']], 'aspect_category': [[None, 'negative'], [None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"We actually left hungry and went across the street to Wo Hop at 15 Mott street for some good chinese food."
] | {'aspect_term': [['chinese food', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The service is spotty, sometimes really friendly and sometimes barely there."
] | {'aspect_term': [['service', 'conflict']], 'aspect_category': [[None, 'conflict']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The seafood is amazing, there's a good wine list, and the ever-changing menu always offers some great surprises."
] | {'aspect_term': [['seafood', 'positive'], ['wine list', 'positive'], ['menu', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"We couldn't carry our conversation as we were routinely interrupted by waitress and servants asking us to order and hinting that we're taking too much time -- amazing, we just sat down."
] | {'aspect_term': [['waitress', 'negative'], ['servants', 'negative']], 'aspect_category': [[None, 'negative'], [None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The wine list is extensive and can easily hike up an otherwise reasonably priced meal."
] | {'aspect_term': [['wine list', 'positive'], ['meal', 'positive'], ['priced', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Having not been home in the last 2 years may skew this reviewer a bit, but the food was tasty and spicy sans the oil that comes floating along at similar venues."
] | {'aspect_term': [['food', 'positive'], ['oil', 'neutral']], 'aspect_category': [[None, 'positive'], [None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The dim sum servings here are a bit larger than I'm used to."
] | {'aspect_term': [['dim sum servings', 'neutral']], 'aspect_category': [[None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Fish is so very fresh."
] | {'aspect_term': [['Fish', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"While Sapphire is certainly not lacking in ambiance, and probably has the best decor of any Indian restaurant I have been to in New York City, the food was not what I had hoped for."
] | {'aspect_term': [['food', 'negative'], ['ambiance', 'positive'], ['decor', 'positive']], 'aspect_category': [[None, 'negative'], [None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The food is amazing!!!!"
] | {'aspect_term': [['food', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Right off the L in Brooklyn this is a nice cozy place with good pizza."
] | {'aspect_term': [['pizza', 'positive'], ['place', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The food is reliable and the price is moderate."
] | {'aspect_term': [['food', 'positive'], ['price', 'neutral']], 'aspect_category': [[None, 'positive'], [None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"I love to visit Murrays for my bagel fix."
] | {'aspect_term': [['bagel', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"My wife and I went to Orsay for Valentine's dinner."
] | {'aspect_term': [['dinner', 'neutral']], 'aspect_category': [[None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The two star chefs left quite some time ago to open their own place."
] | {'aspect_term': [['chefs', 'neutral']], 'aspect_category': [[None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"And the fried clams had just enough kick to them to make 'em worth eating."
] | {'aspect_term': [['fried clams', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Good drink."
] | {'aspect_term': [['drink', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"night without a reservation, we had to wait at the bar for a little while, but the manager was so nice and made our wait a great experience."
] | {'aspect_term': [['manager', 'positive'], ['reservation', 'neutral'], ['bar', 'neutral'], ['wait', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'neutral'], [None, 'neutral'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Unfortunately, the food was NOT something to get worked up about."
] | {'aspect_term': [['food', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The wine and cheese plate are plentiful and can't wait to try the fondue or table grilling."
] | {'aspect_term': [['wine', 'positive'], ['cheese', 'positive'], ['fondue', 'positive'], ['table grilling', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive'], [None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"The food is uniformly exceptional, with a very capable kitchen which will proudly whip up whatever you feel like eating, whether it's on the menu or not."
] | {'aspect_term': [['food', 'positive'], ['kitchen', 'positive'], ['menu', 'neutral']], 'aspect_category': [[None, 'positive'], [None, 'positive'], [None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"Try their plain pizza with fresh garlic or eggplant."
] | {'aspect_term': [['plain pizza', 'positive'], ['garlic', 'positive'], ['eggplant', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"The food is spectacular, from the appitizers to the main course, and then of course the desserts, (WOW) you'll need no more."
] | {'aspect_term': [['food', 'positive'], ['appitizers', 'positive'], ['main course', 'positive'], ['desserts', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive'], [None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"The food is alright - some stuff is good - some is not (like the steak dish which tends to be dry)."
] | {'aspect_term': [['food', 'conflict'], ['steak dish', 'negative']], 'aspect_category': [[None, 'conflict'], [None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"it's the only place you can get yummy authentic japanese comfort food."
] | {'aspect_term': [['japanese comfort food', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"My husband and I both ordered the Steak, medium."
] | {'aspect_term': [['Steak', 'neutral']], 'aspect_category': [[None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"It was so bad I actually refused to pay for my food."
] | {'aspect_term': [['food', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"I always get the Shabu-Shabu dinner and the beef is always fresh."
] | {'aspect_term': [['Shabu-Shabu dinner', 'neutral'], ['beef', 'positive']], 'aspect_category': [[None, 'neutral'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"It saves walking in and waiting for a table in the often noisy, crowded bar at dinnertime."
] | {'aspect_term': [['bar', 'negative'], ['waiting', 'negative'], ['table', 'negative']], 'aspect_category': [[None, 'negative'], [None, 'negative'], [None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"The spicy Tuna roll is huge and probably the best that I've had at this price range."
] | {'aspect_term': [['Tuna roll', 'positive'], ['price range', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"The sweet lassi was excellent as was the lamb chettinad and the garlic naan but the rasamalai was forgettable."
] | {'aspect_term': [['sweet lassi', 'positive'], ['lamb chettinad', 'positive'], ['garlic naan', 'positive'], ['rasamalai', 'negative']], 'aspect_category': [[None, 'positive'], [None, 'positive'], [None, 'positive'], [None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"Our server checked on us maybe twice during the entire meal."
] | {'aspect_term': [['server', 'negative'], ['meal', 'neutral']], 'aspect_category': [[None, 'negative'], [None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"When you want a piece of beef, head on over."
] | {'aspect_term': [['beef', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"But the coconut rice was good."
] | {'aspect_term': [['coconut rice', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"Good for casual dinner with jeans and sneakers."
] | {'aspect_term': [['casual dinner', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"It appears to be the owner's first venture and it shows."
] | {'aspect_term': [['owner', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"I won't go back unless someone else is footing the bill."
] | {'aspect_term': [['bill', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"Saturday, Nov. 6th I had a group from work come in with about 35 people and the staff was amazing to accomodate us."
] | {'aspect_term': [['staff', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"Jimmy's is hands down the hottest night spot in the Bronx."
] | {'aspect_term': [['spot', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"I also ordered the Change Mojito, which was out of this world."
] | {'aspect_term': [['Change Mojito', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"We live in New Jersey and whenever we go into New York City we buy bagels to eat hot and then to freeze (they told me that if I call in the order, they'd bring it out to the car so I wouldn't have to look for parking)."
] | {'aspect_term': [['bagels', 'neutral']], 'aspect_category': [[None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"When he's not making authentic Neapolitan pizza in the open brick oven or lightly frying zucchini blossoms, he's visiting the regulars (a growing legion) and checking on newcomers."
] | {'aspect_term': [['Neapolitan pizza', 'positive'], ['zucchini blossoms', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"I would not have been so disappointed with the portions if the qualities were good enough to make up for it, but they were not!"
] | {'aspect_term': [['portions', 'negative'], ['qualities', 'negative']], 'aspect_category': [[None, 'negative'], [None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"The prices are about $9 for an entree for dinner and even less for lunch."
] | {'aspect_term': [['prices', 'positive'], ['entree', 'positive'], ['dinner', 'neutral'], ['lunch', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive'], [None, 'neutral'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"The wine list is excellent."
] | {'aspect_term': [['wine list', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"The noise level was unbearable, conversation impossible."
] | {'aspect_term': [['noise level', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"Example is the soup which was about 6 oz for $12 dollars and the mushrooms where $12 for about 1oz."
] | {'aspect_term': [['soup', 'positive'], ['mushrooms', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |