Input: Food wise , its ok but a bit pricey for what you get considering the restaurant is n't a fancy place .

Output: [['Food', 'ok', 'neutral'], ['Food', 'pricey', 'neutral'], ['restaurant', "is n't a fancy", '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: Another plus is the open feel of the restaurant with glass walls on all sides .

Output: [['feel', 'plus', 'positive'], ['feel', 'open', '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: Amazing Spanish Mackeral special appetizer and perfect box sushi ( that eel with avodcao -- um um um ) .

Output: [['Spanish Mackeral special appetizer', 'Amazing', 'positive'], ['box sushi', '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: As usual the omikase did n't disappoint in freshness , although it scored low on creativity and selection .

Output: [['omikase', "did n't disappoint", 'negative'], ['omikase', 'scored low on creativity and selection', '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 specialty rolls are impressive , though I ca n't remember what we had .

Output: [['specialty rolls', '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: Great selection of sakes .

Output: [['selection of sakes', '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: It is n't the cheapest sushi but has been worth it every time .

Output: [['sushi', "is n't the cheapest", 'positive'], ['sushi', '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: Very poor customer service .

Output: [['customer service', 'poor', '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: – Schooner or Later 's charming location along the marina in Long Beach and average food does not , unfortunately , compensate for its very poor customer service .

Output: [['customer service', 'poor', '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: While this diner had reasonably good food , the restaurant staff seemed completely indifferent to our presence , and this attitude was reflected in the lack of service .

Output: [['food', 'good', 'positive'], ['restaurant staff', 'indifferent', '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 fish was fresh , though it was cut very thin .

Output: [['fish', 'fresh', 'negative'], ['fish', 'thin', '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: great service .

Output: [['service', '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 sake selection .

Output: [['sake selection', '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: – Ray 's is THE place to go for high quality seafood dinners .

Output: [['seafood dinners', 'high quality', '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 Dungeness crabs and at Ray 's you can get them served in about 6 different ways !

Output: [['Dungeness crabs', '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 shared the family platter and I especially enjoyed the black cod in sake kasu .

Output: [['black cod in sake kasu', '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 ended the meal with the unusual dessert of a port and chocolate tasting ... yummy !

Output: [['dessert of a port and chocolate tasting', '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: And the service was simply spendid - quite a delight .

Output: [['service', 'spendid', 'positive'], ['service', 'delight', '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 Breakfast

Output: [['Breakfast', '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: – Great drinks , corn beef hash , coffee , B Fast burritos , Gluten Free menu .

Output: [['drinks', 'Great', 'positive'], ['corn beef hash', 'Great', 'positive'], ['coffee', 'Great', 'positive'], ['B Fast burritos', 'Great', 'positive'], ['menu', '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 is fantastic at this fun place .

Output: [['service', 'fantastic', 'positive'], ['place', 'fun', '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 Neighborhood Standby .

Output: [['Standby', '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: In Grammercy/Union Square/East Village this is my neighbors and my favorite spot .

Output: [['spot', '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 music is great , no night better or worse , the bar tenders are generous with the pouring , and the lighthearted atmosphere will lifts you spirits .

Output: [['music', 'great', 'positive'], ['bar tenders', 'generous', 'positive'], ['atmosphere', 'lighthearted', '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: Oh , and the cheese fries are awesome !

Output: [['cheese fries', '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: Good Food , Great Service , Average Prices ( For the Strip )

Output: [['Food', 'Good', 'positive'], ['Service', '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 I walked in , I was taken aback by their incredible wood decor .

Output: [['wood decor', '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 music playing was very hip , 20-30 something pop music , but the subwoofer to the sound system was located under my seat , which became annoying midway through dinner .

Output: [['subwoofer to the sound system', 'annoying', '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 got the shellfish and shrimp appetizer and it was alright .

Output: [['shellfish and shrimp appetizer', 'alright', '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: It was n't the freshest seafood ever , but the taste and presentation was OK .

Output: [['seafood', "was n't the freshest", 'neutral'], ['seafood', 'OK', '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 picked the asparagus , which turned out to be incredible and perfectly prepared .

Output: [['asparagus', 'incredible', 'positive'], ['asparagus', 'perfectly prepared', '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 steak was done to my exact liking ( medium rare ) and was nice and juicy .

Output: [['steak', 'nice', 'positive'], ['steak', 'juicy', '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: It ? s served with either a peppercorn sauce or red wine reduction , though both were indistinguishable in taste .

Output: [['peppercorn sauce', 'indistinguishable', 'neutral'], ['red wine reduction', 'indistinguishable', '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 desert was the perfect ending to an almost perfect dinner .

Output: [['desert', 'perfect', 'positive'], ['dinner', '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: But the servers were extremely attentive and very friendly .

Output: [['servers', 'attentive', 'positive'], ['servers', '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: good sake , good food – i honestly do n't know much about japanese food at all .

Output: [['sake', 'good', '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: Server made several sake suggestions which were very good .

Output: [['sake', '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: had many dishes but the BEST was the lobster 3 ways .

Output: [['lobster 3 ways', '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 waiter was a bit unfriendly and the feel of the restaurant was crowded .

Output: [['waiter', 'unfriendly', 'negative'], ['feel', 'crowded', '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: Most importantly , we were so excited about the food after seeing the very creative menu .

Output: [['menu', 'creative', '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: At best , the food was good and definately overpriced .

Output: [['food', 'good', 'negative'], ['food', 'overpriced', '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: My favortie pizza joint in Seattle

Output: [['pizza joint', 'favortie', '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 is delicious and the salads are fantastic .

Output: [['pizza', 'delicious', 'positive'], ['salads', '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 've always found the wait staff and , if you sit at the bar , the cooks very friendly .

Output: [['cooks', '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 also really enjoy the simplicity of the decor and intimate feeling of a small restaurant .

Output: [['decor', 'enjoy', 'positive'], ['decor', 'simplicity', 'positive'], ['feeling', 'intimate', '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 husband and I love eating at Mioposto Café .

Output: [['Mioposto Café', '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: You won ’ t be disappointed by their menu .

Output: [['menu', 'won ’ t be disappointed', '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 ’ s are thin crust and the menu offers very creative combinations and toppings .

Output: [['menu', 'creative', '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 Pizza Ensalata !

Output: [['Pizza Ensalata', 'Try', '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 ’ s are not huge and the crust is thin ... keep that in mind when you ’ re ordering .

Output: [['crust', 'thin', '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 food is sinful .

Output: [['food', 'sinful', '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 was really friendly .

Output: [['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: The atmosphere was great .

Output: [['atmosphere', '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 specialty here is decadent pancakes , but I 've been back now four times , and I 've been wowed every time .

Output: [['pancakes', 'decadent', '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: Nothing on the menu is less than amazing .

Output: [['menu', '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: Good eats .

Output: [['eats', '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 have been to this place , folks and it is BAD .

Output: [['place', 'BAD', '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: Maybe it is good for that one night once in a blue moon when the chefs decide to use fish that 's half-way decent .

Output: [['fish', 'decent', '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 been here , spent tons of money on a chef special dinner and it was a major dissappointment .

Output: [['chef special dinner', 'dissappointment', '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 atmosphere is great for any special occasion you might want to celebrate .

Output: [['atmosphere', '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 best dish are the honwy walnut prawns -- just outstanding .

Output: [['honwy walnut prawns', 'best', 'positive'], ['honwy walnut prawns', 'outstanding', '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 is really attentive and charming .

Output: [['service', 'attentive', 'positive'], ['service', 'charming', '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 excellent , the coffee was good even by starbucks standards and the food was outstanding .

Output: [['service', 'excellent', 'positive'], ['coffee', 'good', 'positive'], ['food', 'outstanding', '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 had the pleasure of dining as this delightful restaurant on 2nd street and wow what a great evening we had .

Output: [['restaurant', 'delightful', '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 fantastic , authentic , delicious and very , very affordable .

Output: [['food', 'fantastic', 'positive'], ['food', 'authentic', 'positive'], ['food', 'delicious', 'positive'], ['food', 'affordable', '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 was beautiful and unique .

Output: [['decor', 'beautiful', 'positive'], ['decor', 'unique', '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 was a really nice vibe about the place ... good music , atmosphere and happy looking people .

Output: [['music', 'good', 'positive'], ['atmosphere', 'good', 'positive'], ['vibe', 'nice', 'positive'], ['people', 'happy', '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: Our server was very professional and friendly .

Output: [['server', 'professional', 'positive'], ['server', '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: It 's a tiny place so if you get there before 8pm on a weekend ( Thurs ? Sun ) you will find it easier to get a table or a seat at the sushi bar .

Output: [['place', 'tiny', '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: Everything , and I mean everything on the menu is delectable .

Output: [['menu', 'delectable', '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 waiters are very experienced and helpful with pairing your drink choice to your food tastes or vice versa .

Output: [['waiters', 'experienced', 'positive'], ['waiters', 'helpful', '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 sushi is as fresh as it comes ? you 'd think ocean was in their backyard , no joke !

Output: [['sushi', 'fresh', '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 're interested in good tasting ( without the fish taste or smell ) , large portions and creative sushi dishes this is your place ...

Output: [['portions', 'large', 'positive'], ['sushi dishes', 'creative', '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 thick pepperoni

Output: [['pepperoni', 'big thick', '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 pepperoni 's cut real thick -- Yum .

Output: [["pepperoni 's", 'thick', 'positive'], ["pepperoni 's", 'Yum', '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 itself is not exactly the best I 've had EVER , but still pretty good .

Output: [['pizza', 'not exactly the best', 'positive'], ['pizza', '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: Food was good and appetizing .

Output: [['Food', 'good', 'positive'], ['Food', 'appetizing', '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: Portions was just enough for me , but may not be for a big eater .

Output: [['Portions', 'enough', '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: Fair menu selection .

Output: [['menu selection', 'Fair', '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 appetizer was interesting , but the Creme Brulee was very savory and delicious .

Output: [['appetizer', 'interesting', 'positive'], ['Creme Brulee', 'savory', 'positive'], ['Creme Brulee', '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: Indoor ambience was modern .

Output: [['Indoor ambience', 'modern', '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: It 's a great place to people watch .

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: Late night dinning with exeptional food .

Output: [['food', 'exeptional', '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 seated right away , the table was private and nice .

Output: [['table', 'private', 'positive'], ['table', '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 service was exceptional - sometime there was a feeling that we were served by the army of friendly waiters .

Output: [['service', 'exceptional', 'positive'], ['waiters', '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: The food was very good , filet mignon was probably the best I 've ever try .

Output: [['food', 'good', 'positive'], ['filet mignon', '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 portions are big though , so do not order too much .

Output: [['portions', 'big', '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: Groovy music made the dinner casual .

Output: [['music', 'casual', '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 a but here - there was a bathroom attendant in the restroom which was odd .

Output: [['restroom', 'odd', '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 bathroom itself is very small with two toilets and only one sink , the girl was staying totally on the way hanging out paper towels from the dispenser .

Output: [['bathroom', 'small', '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: – Mercedes restaurant is so tasty , the service is undeniably awesome !

Output: [['service', '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 atmosphere is aspiring , and the decor is festive and amazing ...

Output: [['atmosphere', 'aspiring', 'positive'], ['decor', 'festive', 'positive'], ['decor', '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 catering is out of this world , and Raouls chicken vegetable soup rocks my world ! ! !

Output: [['Raouls chicken vegetable soup', 'rocks my world', 'positive'], ['catering', 'out of this world', '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: Drinks are suberb , and I feel like I am in a Third World country when I walk in the door .

Output: [['Drinks', 'suberb', '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: - Mediocre Service / Quality

Output: [['Service', 'Mediocre', '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 presentation of Snooze is excellent and it is one of those places that you feel more sophisticated just for being there ; but peel back the layers and you have an overpriced IHOP with a high brow menu .

Output: [['Snooze', 'excellent', 'negative'], ['menu', 'high brow', '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: They serve it in a tall , skinny hour-glass shaped glass to disguise the fact that you a getting a small juice at the price of a half gallon in a supermarket .

Output: [['juice', 'small', '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 should have just asked for the check when I saw that ; but their menu was so unique that I continued .

Output: [['menu', 'unique', '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 pancakes were certainly inventive but $ 8.50 for 3 - 6 '' pancakes ( one of them was more like 5 '' ) in the pancake flight ( sample of 3 different pancakes ) is well over-priced .

Output: [['pancakes', 'inventive', 'negative'], ['pancakes', 'over-priced', '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 pancakes should be larger ( at least 8 '' ) to justify the expense even with the unique offerings .

Output: [['pancakes', 'should be larger', '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: In the end our check came to $ 27 for 4 small pancakes , a breakfast burrito , an orange juice and an iced tea ( I had water ) .

Output: [['pancakes', 'small', '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: Much more than just a great view !

Output: [['view', '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 am exceedingly pleased to report that my dinner at Ray 's Boathouse last Friday completely exceeded my expectations .

Output: [["Ray 's Boathouse", 'exceeded my expectations', '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: Ray 's is something of a Seattle institution , but given its gorgeous Sound views , I had suspected that the accolades were more due to the scenery than to the food and service .

Output: [['Sound views', 'gorgeous', '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: Imagine my happy surprise upon finding that the views are only the third-best thing about Ray 's !

Output: [["Ray 's", 'happy surprise', '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: To start things off , our lovely server Brooke was quickly on hand to take my drink order .

Output: [['Brooke', 'lovely', 'positive'], ['Brooke', 'quickly', '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 party of two was feeling particularly ambitious , and we splurged on the Shilshole Sampler ... a beautiful assortment of enormous white gulf prawns , smoked albacore tuna , Ray 's fantastic manila clams seasoned with dill , scallops in a tasty soy dressing , and a tiny pile of Dungeness crab atop a sublime butter sauce .

Output: [['white gulf prawns', 'enormous', 'positive'], ['manila clams', 'fantastic', 'positive'], ['soy dressing', 'tasty', 'positive'], ['butter sauce', 'sublime', '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: For my entr & eacute ; e , I completely enjoyed the seared Alaskan sea scallops complemented by chard , artichoke hearts , fennel , and pecorino toscano .

Output: [['seared Alaskan sea scallops', '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: The scallops are apparently cooked in a black olive butter which really makes them unique ( not to mention tasty ) .

Output: [['scallops', 'unique', 'positive'], ['scallops', '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: My friend enjoyed the grilled Alaskan King Salmon with delectable creamed Washington russet potatoes and crisp green beans .

Output: [['grilled Alaskan King Salmon', 'enjoyed', 'positive'], ['creamed Washington russet potatoes', 'delectable', 'positive'], ['green beans', 'crisp', '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 a taste of all three items on her plate , and they were superb .

Output: [['plate', 'superb', '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: Our server continued to be attentive throughout the night , but I did remain puzzled by one issue : Who thinks that Ray 's is an appropriate place to take young children for dinner ?

Output: [['server', 'attentive', 'positive'], ["Ray 's", 'appropriate', '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: While I could have done without the youth who shared the evening with us , our wonderful server and food made the experience a very positive one .

Output: [['server', 'wonderful', 'positive'], ['food', 'wonderful', '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: Oh yeah ... the view was good , too .

Output: [['view', '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']]