Input: It 's definately not a place to go if you want to impress someone .

Output: [['place', 'impress', 'negative']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: However , if you want great food at a great price and do n't mind the decor , you ca n't beat this place .

Output: [['food', 'great', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: When you 're sitting in their main dining room ( which has a spectacular , hand-painted high ceiling ) you 'd never know there was a world outside .

Output: [['main dining room', 'spectacular', 'positive'], ['ceiling', 'spectacular', 'positive'], ['ceiling', 'hand-painted high', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: The food is wonderful , tasty and filling , and the service is professional and friendly .

Output: [['food', 'wonderful', 'positive'], ['food', 'tasty', 'positive'], ['food', 'filling', 'positive'], ['service', 'professional', 'positive'], ['service', 'friendly', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: I ca n't wait for summer , when they serve outside on their gigantic patio .

Output: [['patio', 'gigantic', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: I recently tried Suan and I thought that it was great .

Output: [['Suan', 'great', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: The service was fast and friendly and the food was very tasty and they had the best hot sauce to add to your meals .

Output: [['service', 'fast', 'positive'], ['service', 'friendly', 'positive'], ['food', 'tasty', 'positive'], ['hot sauce', 'best', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Good food .

Output: [['food', 'Good', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Good drink .

Output: [['drink', 'Good', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Great spot , whether looking for a couple of drinks or quiet dinner .

Output: [['spot', 'Great', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Warm and friendly in the winter and terrific outdoor seating in the warmer months .

Output: [['outdoor seating', 'terrific', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: The food is great and they have a good selection of wines at reasonable prices .

Output: [['food', 'great', 'positive'], ['wines', 'good selection', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: While the ambiance and atmosphere were great , the food and service could have been a lot better .

Output: [['ambiance', 'great', 'positive'], ['atmosphere', 'great', 'positive'], ['food', 'could have been a lot better', 'negative'], ['service', 'could have been a lot better', 'negative']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: i 've been to sapphire twice and both times the food was fine , if not good .

Output: [['food', 'fine', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: stick with the chicken , beef , and lamb dishes .

Output: [['chicken', 'stick', 'positive'], ['beef', 'stick', 'positive'], ['lamb dishes', 'stick', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: service is friendly , and never had a problem walking in and getting a table .

Output: [['service', 'friendly', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: skip dessert .

Output: [['dessert', 'skip', 'negative']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Best Reuben sandwich ever !

Output: [['Reuben sandwich', 'Best', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Do n't miss Bloom 's on your next trip to Manhatten .

Output: [["Bloom 's", 'miss', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Thanks Bloom 's for a lovely trip .

Output: [["Bloom 's", 'Thanks', 'positive'], ["Bloom 's", 'lovely', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: The food was not fresh , the sauces were bland and very oily .

Output: [['food', 'not fresh', 'negative'], ['sauces', 'bland', 'negative'], ['sauces', 'oily', 'negative']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Pizza was a little soggy .

Output: [['Pizza', 'soggy', 'negative']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Ravioli was good ... but I have to say that I found everything a bit overpriced .

Output: [['Ravioli', 'good', 'positive'], ['Ravioli', 'overpriced', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Not enough wines by the glass either .

Output: [['wines by the glass', 'Not enough', 'negative']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Food was just average ... if they lowered the prices just a bit , it would be a bigger draw .

Output: [['Food', 'average', 'neutral']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: This place is a great bargain .

Output: [['place', 'great bargain', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Authentic Pakistani food .

Output: [['Pakistani food', 'Authentic', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Just straight up cheap , good food .

Output: [['food', 'cheap', 'positive'], ['food', 'good', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Faan is sooo good .

Output: [['Faan', 'good', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: The best pad thai i 've ever had .

Output: [['pad thai', 'best', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: The design and atmosphere is just as good .

Output: [['design', 'good', 'positive'], ['atmosphere', 'good', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: The mussles were the fishiest things I 've ever tasted , the seabass was bland , the goat cheese salad was missing the goat cheese , the penne w/ chicken had bones in it ... It was disgusting .

Output: [['mussles', 'fishiest', 'negative'], ['seabass', 'bland', 'negative'], ['goat cheese salad', 'missing', 'negative'], ['penne w/ chicken', 'disgusting', 'negative']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Nice atmosphere , the service was very pleasant and the desert was good .

Output: [['atmosphere', 'Nice', 'positive'], ['service', 'pleasant', 'positive'], ['desert', 'good', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: The food is amazing , rich pastas and fresh doughy pizza .

Output: [['food', 'amazing', 'positive'], ['pastas', 'rich', 'positive'], ['pizza', 'fresh doughy', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Best of all is the warm vibe , the owner is super friendly and service is fast .

Output: [['vibe', 'warm', 'positive'], ['owner', 'friendly', 'positive'], ['service', 'fast', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Ask for Usha , the nicest bartender in manhattan .

Output: [['Usha', 'nicest', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: My fav was the sassy lassi ...

Output: [['sassy lassi', 'fav', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Toons has recently been redone , so it 's now a very attractive space .

Output: [['Toons', 'attractive', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: The food 's as good as ever .

Output: [['food', 'good', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: In an area sadly lacking in decent Thai food , this is one of the best spots .

Output: [['Thai food', 'decent', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Went here last night - nice decor , good service , but the food was surprisingly excellent .

Output: [['decor', 'nice', 'positive'], ['service', 'good', 'positive'], ['food', 'excellent', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: The portions are HUGE , so it might be good to order three things to split ( rather than one appetizer and entree per person ) for two people .

Output: [['portions', 'HUGE', 'neutral']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: The service is good and the resturant is clean .

Output: [['service', 'good', 'positive'], ['resturant', 'clean', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Rao 's has the best service and atmosphere in NYC .

Output: [['service', 'best', 'positive'], ['atmosphere', 'best', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: My roommate and I LOVE this place .

Output: [['place', 'LOVE', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: We recently decided to try this location , and to our delight , they have outdoor seating , perfect since I had my yorkie with me .

Output: [['outdoor seating', 'perfect', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Indoor was very cozy and cute .

Output: [['Indoor', 'cozy', 'positive'], ['Indoor', 'cute', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: The portion sizes here are huge , and the sushi is good .

Output: [['portion sizes', 'huge', 'positive'], ['sushi', 'good', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Excellent dumplings served amid clean , chic decor .

Output: [['dumplings', 'Excellent', 'positive'], ['decor', 'clean', 'positive'], ['decor', 'chic', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: The food was delicious but do not come here on a empty stomach .

Output: [['food', 'delicious', 'negative']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: The portions are small but being that the food was so good makes up for that .

Output: [['portions', 'small', 'negative'], ['food', 'good', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: The staff there is very attentive and down to earth .

Output: [['staff', 'attentive', 'positive'], ['staff', 'down to earth', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Great Indian food and the service is incredible .

Output: [['Indian food', 'Great', 'positive'], ['service', 'incredible', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Great food and the prices are very reasonable .

Output: [['food', 'Great', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: The food here does a great service to the name ( Cantonese that is ... ) .

Output: [['food', 'great', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: I fell in love with the egg noodles in the beef broth with shrimp dumplings and slices of BBQ roast pork .

Output: [['egg noodles in the beef broth with shrimp dumplings and slices of BBQ roast pork', 'love', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: This dish is my favorite and I always get it when I go there and never get tired of it .

Output: [['dish', 'favorite', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Try the congee and the donut like deep fried dough they call Ow Ley Soh , a delicious and sweet tasting bread .

Output: [['Ow Ley Soh', 'delicious', 'positive'], ['Ow Ley Soh', 'sweet', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Simply some good tasting Chinese food at incredible prices ...

Output: [['Chinese food', 'good tasting', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Big Wong is a great place to eat and fill your stomach .

Output: [['Big Wong', 'great', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: good music , great food , speedy service affordable prices .

Output: [['music', 'good', 'positive'], ['food', 'great', 'positive'], ['service', 'speedy', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Consistently good Japanese Tapas .

Output: [['Japanese Tapas', 'good', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Always good drinks and service is pretty good ;

Output: [['drinks', 'good', 'positive'], ['service', 'good', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Atmosphere is nice and relaxed too ...

Output: [['Atmosphere', 'nice', 'positive'], ['Atmosphere', 'relaxed', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: A great place to meet up for some food and drinks ...

Output: [['place', 'great', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Yakitori ( bbq meats ) is tasty too .

Output: [['Yakitori ( bbq meats )', 'tasty', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: If you do n't mind pre-sliced low quality fish , unfriendly staff and a sushi chef that looks like he is miserable then this is your place .

Output: [['fish', 'low quality', 'negative'], ['staff', 'unfriendly', 'negative'], ['sushi chef', 'miserable', 'negative']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Fabulous decor - makes you feel like you 're in a trendy Manhattan restaurant , very very good food , cheaply-priced , generally friendly staff , and if you 're a Manhattanite , or spend most of your time in Manhattan , Rice Avenue will make you feel at home ... ..very Soho/Village/Upper West Side minus the expensive prices and pretentious clientele ... ..all on Roosevelt Avenue !

Output: [['decor', 'Fabulous', 'positive'], ['food', 'good', 'positive'], ['food', 'cheaply-priced', 'positive'], ['staff', 'friendly', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: One would think we 'd get an apology or complimentary drinks - instead , we got a snobby waiter would n't even take our order for 15 minutes and gave us lip when we asked him to do so .

Output: [['waiter', 'snobby', 'negative']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: With so many good restaurants on the UWS , I do n't need overpriced food , absurdly arrogant wait-staff who do n't recognize they work at a glorified diner , clumsy service , and management that does n't care .

Output: [['food', 'overpriced', 'negative'], ['wait-staff', 'arrogant', 'negative'], ['service', 'clumsy', 'negative']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: I am relatively new to the area and tried Pick a bgel on 2nd and was disappointed with the service and I thought the food was overated and on the pricey side .

Output: [['service', 'disappointed', 'negative'], ['food', 'overated', 'negative'], ['food', 'pricey', 'negative']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: The only problem is that the manager is a complete incompetent .

Output: [['manager', 'incompetent', 'negative']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: He offers subpar service and has no personality .

Output: [['service', 'subpar', 'negative']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: There is no excuse for such lousy service !

Output: [['service', 'lousy', 'negative']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: I have never before eaten 40 pieces of relatively good nigiri .

Output: [['nigiri', 'good', 'neutral']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: I went to Areo on a Sunday afternoon with four of my girlfriends , and spent three enjoyable hours there .

Output: [['Areo', 'enjoyable', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Most of the servers are very attentive , friendly and quite attractive .

Output: [['servers', 'attentive', 'positive'], ['servers', 'friendly', 'positive'], ['servers', 'attractive', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Food was good and the view of the new york city skiline was terrific even on a foggy rainy day like that of when I went .

Output: [['Food', 'good', 'positive'], ['view of the new york city skiline', 'terrific', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: I would highly recommand requesting a table by the window .

Output: [['table by the window', 'recommand', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Although they do the typical what kind of water would you like questions the service was good and overall very relaxing to place to eat .

Output: [['service', 'good', 'positive'], ['place', 'relaxing', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: The food is great .

Output: [['food', 'great', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Personal pans are the perfect size for those hungry nights .

Output: [['Personal pans', 'perfect', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: There is a downside if you 're ordering in -- the delivery guys have MAJOR attitude .

Output: [['delivery guys', 'downside', 'negative']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Love the scene first off- the place has a character and nice light to it..very fortunate , location wise .

Output: [['scene', 'Love', 'positive'], ['place', 'nice', 'positive'], ['location', 'fortunate', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: The pizza was pretty good and huge .

Output: [['pizza', 'good', 'positive'], ['pizza', 'huge', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: We were 4 and got the family size penne a la vodka which was tremendously gigantic portion ... a bucket of food literally .

Output: [['penne a la vodka', 'gigantic', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: The pasta penne was pretty extra buttery , creamy which means a big task to diggest.. tasty at first but i would say that i was full with a slice of pizza and 7 to count , penne ... got a little moody afterwards cause was stuffed ... lol

Output: [['pasta penne', 'buttery', 'negative']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: La Rosa waltzes in , and I think they are doing it the best .

Output: [['La Rosa', 'best', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Interesting selection , good wines , service fine , fun decor .

Output: [['wines', 'good', 'positive'], ['service', 'fine', 'positive'], ['decor', 'fun', 'positive'], ['selection', 'Interesting', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: I found it on a cold night , the perfect spot to warm up .

Output: [['spot', 'perfect', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: I recieved prompt service with a smile .

Output: [['service', 'prompt', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: This place blew me away ... by far my new favorite restaurant on the uppereast side .

Output: [['place', 'favorite', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: The wine list is extensive and impressive .

Output: [['wine list', 'extensive', 'positive'], ['wine list', 'impressive', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: LOVE the atmosphere - felt like I was in Paris .

Output: [['atmosphere', 'LOVE', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: The mussels were fantastic and so was the dessert ... definitely going to be back very soon .

Output: [['mussels', 'fantastic', 'positive'], ['dessert', 'fantastic', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: I have been coming here for years and have nothing but good things to say about the service and the great staff at La Lanterna .

Output: [['service', 'good', 'positive'], ['staff', 'great', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Over the years the host , Vittorio , and his crew , have always treated me as family -- although with all the business this not-so-little gem does , it amazing he 's even able to remember a consistent but not-so-frequent visitor .

Output: [['host', 'amazing', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: I 've also been amazed at all the new additions in the past few years : A new Jazz Bar , the most fantastic Dining Garden , the Best Thin Crust Pizzas , and now a Lasagna Menu which is to die for ( these are not your average lasagnas ) !

Output: [['Dining Garden', 'fantastic', 'positive'], ['Jazz Bar', 'new', 'positive'], ['Thin Crust Pizzas', 'Best', 'positive'], ['Lasagna Menu', 'die for', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: I lOVE THIS PLACE !

Output: [['PLACE', 'lOVE', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: I have to say I have never had a disapointing meal here .

Output: [['meal', 'never had a disapointing', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: We could have made a meal of the yummy dumplings from the dumpling menu .

Output: [['dumplings', 'yummy', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Luckily we saved room for the BBQ Salmon , Sea Bass and Crispy Duck .

Output: [['BBQ Salmon', 'Luckily', 'positive'], ['Sea Bass', 'Luckily', 'positive'], ['Crispy Duck', 'Luckily', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Judging from previous posts this used to be a good place , but not any longer .

Output: [['place', 'good', 'negative']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: We , there were four of us , arrived at noon - the place was empty - and the staff acted like we were imposing on them and they were very rude .

Output: [['staff', 'rude', 'negative']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: The food was lousy - too sweet or too salty and the portions tiny .

Output: [['food', 'lousy', 'negative'], ['food', 'too sweet', 'negative'], ['food', 'too salty', 'negative'], ['portions', 'tiny', 'negative']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Avoid this place !

Output: [['place', 'Avoid', 'negative']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: I have eaten at Saul , many times , the food is always consistently , outrageously good .

Output: [['food', 'good', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Saul is the best restaurant on Smith Street and in Brooklyn .

Output: [['Saul', 'best', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: The duck confit is always amazing and the foie gras terrine with figs was out of this world .

Output: [['foie gras terrine with figs', 'out of this world', 'positive'], ['duck confit', 'amazing', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: The wine list is interesting and has many good values .

Output: [['wine list', 'interesting', 'positive'], ['wine list', 'good values', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: I was very disappointed with this restaurant .

Output: [['restaurant', 'disappointed', 'negative']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Food was okay , nothing great .

Output: [['Food', 'okay', 'neutral'], ['Food', 'nothing great', 'neutral']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Chow fun was dry ; pork shu mai was more than usually greasy and had to share a table with loud and rude family .

Output: [['Chow fun', 'dry', 'negative'], ['pork shu mai', 'greasy', 'negative']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: I/we will never go back to this place again .

Output: [['place', 'never go back', 'negative']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Service was devine , oysters where a sensual as they come , and the price ca n't be beat ! ! !

Output: [['Service', 'devine', 'positive'], ['oysters', 'sensual', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Everything is always cooked to perfection , the service is excellent , the decor cool and understated .

Output: [['service', 'excellent', 'positive'], ['decor', 'cool', 'positive'], ['decor', 'understated', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: I had the duck breast special on my last visit and it was incredible .

Output: [['duck breast special', 'incredible', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: The only thing I moderately enjoyed was their Grilled Chicken special with Edamame Puree .

Output: [['Grilled Chicken special with Edamame Puree', 'enjoyed', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: I had never had Edamame pureed before but I thought it was innovative and tasty ( could 've used a bit more salt ) .

Output: [['Edamame pureed', 'innovative', 'positive'], ['Edamame pureed', 'tasty', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: The decor is night tho ... but they REALLY need to clean that vent in the ceiling ... its quite un-appetizing , and kills your effort to make this place look sleek and modern .

Output: [['place', 'sleek', 'negative'], ['place', 'modern', 'negative'], ['decor', 'night', 'positive'], ['vent', 'un-appetizing', 'negative']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Their sake list was extensive , but we were looking for Purple Haze , which was n't listed but made for us upon request !

Output: [['sake list', 'extensive', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: The spicy tuna roll was unusually good and the rock shrimp tempura was awesome , great appetizer to share !

Output: [['spicy tuna roll', 'good', 'positive'], ['rock shrimp tempura', 'awesome', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: THe perfect spot .

Output: [['spot', 'perfect', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Food awesome .

Output: [['Food', 'awesome', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Service friendly and attentive .

Output: [['Service', 'friendly', 'positive'], ['Service', 'attentive', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Ambiance relaxed and stylish .

Output: [['Ambiance', 'relaxed', 'positive'], ['Ambiance', 'stylish', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: This place has got to be the best japanese restaurant in the new york area .

Output: [['place', 'best', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Food is great .

Output: [['Food', 'great', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Service is top notch .

Output: [['Service', 'top notch', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: The rice to fish ration was also good -- they did n't try to overpack the rice .

Output: [['rice to fish ration', 'good', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: We took advanatage of the half price sushi deal on saturday so it was well worth it .

Output: [['half price sushi deal', 'worth', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: $ 6 and there is much tasty food , all of it fresh and continually refilled .

Output: [['food', 'tasty', 'positive'], ['food', 'fresh', 'positive'], ['food', 'refilled', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: I am not a vegetarian but , almost all the dishes were great .

Output: [['dishes', 'great', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: The food here is rather good , but only if you like to wait for it .

Output: [['food', 'good', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: I like the somosas , chai , and the chole , but the dhosas and dhal were kinda disappointing .

Output: [['somosas', 'like', 'positive'], ['chai', 'like', 'positive'], ['chole', 'like', 'positive'], ['dhosas', 'disappointing', 'negative'], ['dhal', 'disappointing', 'negative']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: The service varys from day to day- sometimes they 're very nice , and sometimes not .

Output: [['service', 'varys', 'negative']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Also , specify if you like your food spicy- its rather bland if you do n't .

Output: [['food', 'bland', 'negative']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: The ambience is pretty and nice for conversation , so a casual lunch here would probably be best .

Output: [['ambience', 'pretty', 'positive'], ['ambience', 'nice', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: The lava cake dessert was incredible and I recommend it .

Output: [['lava cake dessert', 'incredible', 'positive'], ['lava cake dessert', 'recommend', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Once you step into Cosette , you 're miraculously in a small , off-the-beaten path Parisian bistro .

Output: [['Cosette', 'off-the-beaten', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: This tiny restaurant is as cozy as it gets , with that certain Parisian flair .

Output: [['restaurant', 'tiny', 'positive'], ['restaurant', 'cozy', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: The food was average to above-average ; the French Onion soup filling yet not overly impressive , and the desserts not brilliant in any way .

Output: [['food', 'average to above-average', 'positive'], ['French Onion soup', 'not overly impressive', 'positive'], ['desserts', 'not brilliant', 'negative']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: The pizza is overpriced and soggy .

Output: [['pizza', 'overpriced', 'negative'], ['pizza', 'soggy', 'negative']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: I think I 've had some the best meals of my life at minnow .

Output: [['meals', 'best', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: The seafood is amazing , there 's a good wine list , and the ever-changing menu always offers some great surprises .

Output: [['seafood', 'amazing', 'positive'], ['wine list', 'good', 'positive'], ['menu', 'ever-changing', 'positive'], ['menu', 'great surprises', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: The combination of super-fresh ingredients in the dishes are unusual but really delicious .

Output: [['ingredients', 'super-fresh', 'positive'], ['ingredients', 'delicious', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: As a Japanese native , I 've lived in the Tristate area for over 8 years , but I was just so amazed at this place .

Output: [['place', 'amazed', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: The signs , the specials menus , food , and even all the waitstaff are ALL TOTALLY Japanese .

Output: [['signs', 'Japanese', 'positive'], ['specials menus', 'Japanese', 'positive'], ['food', 'Japanese', 'positive'], ['waitstaff', 'Japanese', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: This place is worth an one-hour drive .

Output: [['place', 'worth', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: My wife and I always enjoy the young , not always well trained but nevertheless friendly , staff , all of whom have a story .

Output: [['staff', 'enjoy', 'positive'], ['staff', 'young', 'positive'], ['staff', 'not always well trained', 'positive'], ['staff', 'friendly', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]


Input: Decent wine at reasonable prices .

Output: [['wine', 'Decent', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "It has so much more speed and the screen is very sharp ."  Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]