Input: My boyfriend had Prime Rib it was good .

Output: [['Prime Rib', '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 did n't want a bottle of bubbly on a weekday so we each got little bottles of Korbett it was just enough .

Output: [['bottles of Korbett', 'enough', '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 like spicy food get the chicken vindaloo .

Output: [['chicken vindaloo', 'get', '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: Go to Volare for 1st class service and terrific food .

Output: [['service', '1st class', 'positive'], ['food', '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 portions are large and the servers always surprise us with a different starter .

Output: [['portions', 'large', '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 excellent .

Output: [['wine list', '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 food is amazing ... especially if you get the Chef 's tasting menu and your favourite bottle ( or two ! ) of wine from an extensive selection of wines .

Output: [['food', 'amazing', 'positive'], ['selection of wines', '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 place is small and intimate and you may feel a little crowded , but the service is excellent and it 's great for friends out , a romantic date , or a special occassion .

Output: [['service', 'excellent', 'positive'], ['place', 'small', 'positive'], ['place', 'intimate', 'positive'], ['place', 'crowded', '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 can get pricey but the prixe fixe tasting menu is the greatest food for a good price and they cater the food to any food allergies or food you do n't like .

Output: [['food', 'pricey', 'negative'], ['prixe fixe tasting menu', 'greatest', '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: With the exception of our lemon salad that had so much pepper on it that our eyes started watering , the food here was decent , not great .

Output: [['food', 'decent', 'neutral'], ['food', 'not great', 'neutral'], ['lemon salad', 'exception', '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 menu is very limited - i think we counted 4 or 5 entrees .

Output: [['menu', 'limited', '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 ordered the special , grilled branzino , that was so infused with bone , it was difficult to eat .

Output: [['grilled branzino', 'difficult to eat', '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 decor in this place is very diner-ish and the kind of place you expect in the East Village - not romantic , just simple , small and sparse .

Output: [['decor', 'diner-ish', '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: Problem is nothing at Prune is particularly memorable .

Output: [['Prune', 'memorable', '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: This place is so much fun .

Output: [['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: Our food was great too !

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: And really large portions .

Output: [['portions', 'large', '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 the friendliest that have seen in New York .

Output: [['staff', 'friendliest', '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 want something really different than try Jekyll and Hyde .

Output: [['Jekyll and Hyde', 'different', '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 pretty tradional but it was hot and good with large portions .

Output: [['food', 'tradional', 'positive'], ['portions', 'large', '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 place is a lot of fun .

Output: [['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: The food however , is what one might expect .

Output: [['food', 'expect', '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 , I think Jeckll and Hydes t is one of those places that is fun to do once .

Output: [['Jeckll and Hydes', '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: Service was slow had to wait to order and get food although not crowded .

Output: [['Service', 'slow', '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: Drinks way over priced .

Output: [['Drinks', '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: Great pizza for lunch place .

Output: [['pizza', '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 was quick .

Output: [['Service', 'quick', '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 great .

Output: [['pizza', '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: Whenever you need a Sushi fix , Mizu will be there with quality fish and great service .

Output: [['fish', 'quality', '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: Delivery is fast too .

Output: [['Delivery', '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: Great friendly service , Fast seating , Fast Delivery , Excellent sushi .

Output: [['service', 'Great friendly', 'positive'], ['seating', 'Fast', 'positive'], ['Delivery', 'Fast', 'positive'], ['sushi', '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: Ess-A-Bagel ( either by Sty-town or midtown ) is by far the best bagel in NY .

Output: [['bagel', '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 bagels always warm , soft on the inside , crispy on the outside and enormous in size .

Output: [['bagels', 'warm', 'positive'], ['bagels', 'soft', 'positive'], ['bagels', 'crispy', 'positive'], ['bagels', 'enormous', '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: They have a huge selection of different cream cheeses and all of their salads are great .

Output: [['salads', 'great', 'positive'], ['cream cheeses', 'huge', 'positive'], ['cream cheeses', 'different', '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 impressed with the food .

Output: [['food', 'Not impressed', '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: Prices too high for this cramped and unappealing resturant .

Output: [['resturant', 'cramped', 'negative'], ['resturant', 'unappealing', '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: Zero ambiance to boot .

Output: [['ambiance', 'Zero', '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 thought this place was totally overrated .

Output: [['place', 'overrated', '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 was nice , but service was n't so great .

Output: [['ambience', 'nice', 'positive'], ['service', "was n't so great", '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: This is the BEST Shabu-Shabu Restaurant in the Try-State Area .

Output: [['Shabu-Shabu Restaurant', '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: Thius is a must for anyone who loves Shabu-Shabu .

Output: [['Shabu-Shabu', 'loves', '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 nothing special , but it feels like a Sushi establishment in Tokyo .

Output: [['atmosphere', 'nothing special', '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 owner and staff are all Japanese as well and that adds to the entire ambiance .

Output: [['ambiance', 'adds', '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: Despite a slightly limited menu , everything prepared is done to perfection , ultra fresh and a work of food art .

Output: [['menu', 'limited', '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: Taxan delicious !

Output: [['Taxan', '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: The location and ambience is Ok but the food is what makes up for it .

Output: [['location', 'Ok', 'neutral'], ['ambience', '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: Try green curry with vegetables .

Output: [['green curry with vegetables', '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: I had the best ravioli ever .

Output: [['ravioli', '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: This quaint and romantic trattoria is at the top of my Manhattan restaurant list .

Output: [['trattoria', 'quaint', 'positive'], ['trattoria', 'romantic', '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 delicious - from the specials to the regular menu-fare , the dishes are never a disappointment .

Output: [['food', 'delicious', 'positive'], ['dishes', 'never a disappointment', 'positive'], ['specials', 'delicious', 'positive'], ['specials', 'never a disappointment', 'positive'], ['regular menu-fare', 'delicious', 'positive'], ['regular menu-fare', 'never a disappointment', '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 the tables may be closely situated , the candle-light , food quality and service overcompensate .

Output: [['candle-light', 'overcompensate', 'positive'], ['food', 'overcompensate', 'positive'], ['service', 'overcompensate', 'positive'], ['tables', 'closely situated', '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: If you go , try the marinara/arrabiatta sauce , the mozzarella en Carozza is mmmmmmmm ... .. everything is just delicious .

Output: [['marinara/arrabiatta sauce', 'try', 'positive'], ['marinara/arrabiatta sauce', 'delicious', 'positive'], ['mozzarella en Carozza', '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: Check out the secret back room .

Output: [['back room', 'secret', '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 the food , service and value exceptional everytime I have been there .

Output: [['food', 'exceptional', 'positive'], ['service', 'exceptional', '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 authentic .

Output: [['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: The service was excellent - friendly and attentive .

Output: [['service', 'excellent', 'positive'], ['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: Very good wine choices .

Output: [['wine choices', '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: Who has room for Cheesesticks with the best pizza in NYC !

Output: [['pizza', '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: Always 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: The food is good , I ca n't lie .

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: But the staff was so horrible to us .

Output: [['staff', 'horrible', '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: This place is pricey , and yes , the food is worth it ; but the service makes you feel like you should be paying a quater of the price .

Output: [['place', 'pricey', 'negative'], ['food', '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: Amma is nothing special .

Output: [['Amma', 'nothing special', '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 ate here a week ago and found most dishes average at best and too expensive .

Output: [['dishes', 'average', 'negative'], ['dishes', 'too expensive', '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: Do n't dine at Tamarind for the vegetarian dishes , they are simply not up to par with the non-veg selections .

Output: [['vegetarian dishes', 'not up to par', '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: Decor is nice though service can be spotty .

Output: [['Decor', 'nice', 'positive'], ['service', 'spotty', '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 , food is excellent .

Output: [['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: I am happy i did the food was awsome .

Output: [['food', 'awsome', '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: Haru on Park S is simply disgusting .

Output: [['Haru on Park S', '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: The fish was not fresh and the rice tasted old and stale .

Output: [['fish', 'not fresh', 'negative'], ['rice', 'old', 'negative'], ['rice', 'stale', '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: Quite frankly , this is some of the worst sushi I have ever tried .

Output: [['sushi', 'worst', '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: honestly the worst sushi my husband and i had in our entire lives .

Output: [['sushi', 'worst', '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: not sure why this restaurant would be rated that highly .

Output: [['restaurant', 'highly', '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 all-u-can-eat sushi is definitely in very poor quality .

Output: [['all-u-can-eat sushi', 'poor quality', '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: limited menu , no-so-fresh ingredients , thinly-sliced fish , fall-apart rice .

Output: [['menu', 'limited', 'negative'], ['ingredients', 'no-so-fresh', 'negative'], ['fish', 'thinly-sliced', 'negative'], ['rice', 'fall-apart', '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 things u could really taste are the very salty soy sauce ( even its low sodium ) , the vinegar-soaked rice , and the scallion on top of the fish .

Output: [['soy sauce', 'salty', 'negative'], ['rice', 'vinegar-soaked', '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 waitstaffs are nice though .

Output: [['waitstaffs', '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: Both times I was extremely dissappointed by the service , which was boarderline rude .

Output: [['service', 'dissappointed', 'negative'], ['service', '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 dinner was ok , nothing I would have again .

Output: [['dinner', 'ok', '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 had their eggs benedict for brunch , which were the worst in my entire life , I tried removing the hollondaise sauce completely that was how failed it was .

Output: [['eggs benedict', 'worst', '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 the theater 2 blocks away we had a delicious meal in a beautiful room .

Output: [['meal', 'delicious', 'positive'], ['room', 'beautiful', '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 attentive .

Output: [['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: Planet Thai is great !

Output: [['Planet Thai', '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: We love the food , drinks , and atmosphere !

Output: [['food', 'love', 'positive'], ['drinks', 'love', 'positive'], ['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 svc can be a bit rude at times , esp if you have big group , but overall the restaurant is a must !

Output: [['svc', 'rude', 'negative'], ['restaurant', 'must', '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 Pad Thai , it 's fabulous and their prices are so cheap !

Output: [['Pad Thai', 'Try', 'positive'], ['Pad Thai', 'fabulous', 'positive'], ['Pad Thai', 'cheap', '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 because it 's cheap does NOT mean the portions are small or the food is nasty , IT IS GREAT !

Output: [['portions', 'small', 'positive'], ['food', 'nasty', '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: Eating in , the atmosphere saves it , but at your desk , it 's a very disappointing experience .

Output: [['atmosphere', 'saves', '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 seats are uncomfortable if you are sitting against the wall on wooden benches .

Output: [['seats', 'uncomfortable', '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: Patroon features a nice cigar bar and has great staff .

Output: [['cigar bar', 'nice', '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: The food is tasty and portion sizes are appropriate .

Output: [['food', 'tasty', 'positive'], ['portion sizes', 'appropriate', '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 is a nice restaurant if you are looking for a good place to host an intimate dinner meeting with business associates .

Output: [['restaurant', '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: Not a great place for family or general dining .

Output: [['place', 'Not a great', '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 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: Waitstaff are very friendly .

Output: [['Waitstaff', '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: Mermaid Inn is an overall good restaurant with really good seafood .

Output: [['seafood', 'good', 'positive'], ['Mermaid Inn', '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 menu is limited but almost all of the dishes are excellent .

Output: [['menu', 'limited', 'negative'], ['dishes', '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 lobster sandwich is good and the spaghetti with Scallops and Shrimp is great .

Output: [['lobster sandwich', 'good', 'positive'], ['spaghetti with Scallops and Shrimp', '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 good and ambience is good for a date or group outing .

Output: [['service', 'good', 'positive'], ['ambience', '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 only fallback on this restaurant is the prices .

Output: [['restaurant', 'fallback', '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: Even though its good seafood , the prices are too high .

Output: [['seafood', '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: The lobster sandwich is $ 24 and although it was good it was not nearly enough to warrant that price .

Output: [['lobster sandwich', 'good', 'negative'], ['lobster sandwich', 'not nearly enough to warrant that price', '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 delicious ( I had a halibut special , my husband had steak ) , and the service was top-notch .

Output: [['food', 'delicious', 'positive'], ['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: Truly the mark of an attentive waiter .

Output: [['waiter', '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: I highly recommend the restaurant based on our experience last night .

Output: [['restaurant', '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: We ate at this Thai place following the reviews but very unhappy with the foods .

Output: [['foods', 'unhappy', '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 recommend the jelly fish , drunken chicken and the soupy dumplings , certainly the stir fry blue crab .

Output: [['jelly fish', 'recommend', 'positive'], ['drunken chicken', 'recommend', 'positive'], ['soupy dumplings', 'recommend', 'positive'], ['stir fry blue crab', '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: Have frequented 'ino for several years and the food remains excellent .

Output: [['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: Cheese plate is a varied delight and great bargain at $ 10 .

Output: [['Cheese plate', 'varied delight', 'positive'], ['Cheese plate', '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: ( The asparagus , truffle oil , parmesan bruschetta is a winner ! )

Output: [['asparagus , truffle oil , parmesan bruschetta', 'winner', '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: Wine list is extensive without being over-priced .

Output: [['Wine list', 'extensive without being over-priced', '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 loved this place ! !

Output: [['place', 'loved', '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 almost hesititate to write a review because the atmosphere was so great and I would hate for it too become to crowded .

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 food was very good , a great deal , and the place its self was great .

Output: [['food', 'good', 'positive'], ['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: The wait staff is very freindly , they make it feel like you 're eating in a freindly little european town .

Output: [['wait staff', 'freindly', '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 Cafe Noir dont get me wrong , it is jsut that the people who work there are evil and incompetent ! !

Output: [['people', 'evil', 'negative'], ['people', 'incompetent', 'negative'], ['Cafe Noir', 'like', '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 terrible , we had to wait for everything and ask several of different people for the same thing before we were allowed to be served .

Output: [['service', 'terrible', '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 whole set up is truly unprofessional and I wish Cafe Noir would get some good staff , because despite the current one this is a great place .

Output: [['staff', 'good', 'negative'], ['Cafe Noir', '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: Pizza here is consistently good .

Output: [['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: You should pass on the calamari .

Output: [['calamari', 'pass', '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: Decor is charming .

Output: [['Decor', '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: Service is average .

Output: [['Service', '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: What a great place .

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: The ambience was so fun , and the prices were great , on top of the fact that the food was really tasty .

Output: [['ambience', 'fun', 'positive'], ['food', '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: I was here a few weeks back and we had the worst customer service experience at a restaurant ever .

Output: [['customer service', 'worst', '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: Excellent atmosphere , delicious dishes good and friendly service .

Output: [['atmosphere', 'Excellent', 'positive'], ['dishes', 'delicious', 'positive'], ['service', 'good', '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: The wine list is also really nice .

Output: [['wine list', '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: I would highly recommend this place !

Output: [['place', '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: I have been to Casimir over 5 times and I have always had a great time there .

Output: [['Casimir', 'great time', '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 reasonably priced .

Output: [['food', 'great', 'positive'], ['food', 'reasonably priced', '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 has been nice , but they seemed really stressed and the unisex bathroom needs to be cleaned more often .

Output: [['staff', 'nice', 'negative'], ['staff', 'stressed', 'negative'], ['unisex bathroom', 'stressed', '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: From the spectacular caviar to the hospitable waitstaff , I felt like royalty and enjoyed every second of it .

Output: [['caviar', 'spectacular', 'positive'], ['caviar', 'enjoyed', 'positive'], ['waitstaff', 'hospitable', 'positive'], ['waitstaff', '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: Considering we were the last patrons there and it was after the closing time , the waitstaff did not rush us at all and made us feel comfortable and relaxed .

Output: [['waitstaff', 'comfortable', 'positive'], ['waitstaff', '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: I highly recommend Caviar Russe to anyone who wants delicious top grade caviar and fantastic service .

Output: [['caviar', 'delicious top grade', 'positive'], ['service', '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: Fresh ingredients and everything is made to order .

Output: [['ingredients', '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: Friendly staff that actually lets you enjoy your meal and the company you 're with .

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: I found the food to be outstanding , particulary the salmon dish I had .

Output: [['food', 'outstanding', 'positive'], ['salmon dish', '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: My friends settled for rice dishes , but we came back the following day to try the dim sum , which was good ... not outstanding , but good .

Output: [['dim sum', 'good', 'neutral'], ['dim sum', 'not outstanding', '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: We ate out in the back patio , which is worth it as it 's cool and the music is hear well there .

Output: [['back patio', 'worth', 'positive'], ['back patio', 'cool', 'positive'], ['music', 'well', '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: Overall , excellent restaurant !

Output: [['restaurant', '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 food was 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: but the service was a bit slow .

Output: [['service', 'slow', '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 buffet had a nice selection .

Output: [['buffet', '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 food was average or above including some surprising tasty dishes .

Output: [['food', 'average or above', 'positive'], ['dishes', '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: Service was also very good .

Output: [['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: I got an excellent piece of cheesecake and we had several other nice pastries .

Output: [['cheesecake', 'excellent', 'positive'], ['pastries', '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: I would recommend Roxy 's for that , but not for their food .

Output: [['food', 'recommend', '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 son and his girlfriend both wanted cheeseburgers and they were huge !

Output: [['cheeseburgers', '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: This place is really trendi but they have forgotten about the most important part of a restaurant , the food .

Output: [['food', 'forgotten', 'negative'], ['place', 'trendi', '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 last two times I ordered from here my food was soo spicy that I could barely eat it , and the spice took away from the flavor of the dish .

Output: [['food', 'spicy', '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: And the Tom Kha soup was pathetic .

Output: [['Tom Kha soup', 'pathetic', '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: If you want good authentic Thai this place is not the place to go .

Output: [['Thai', 'good authentic', '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 went here for lunch a couple of weeks ago on a Saturday , and I was thoroughly impressed with the food .

Output: [['food', 'impressed', '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 pesto pizza was excellent , thin-crust pizza with a nice amount of spicy Italian cheese that I 'd never heard of before .

Output: [['pesto pizza', 'excellent', 'positive'], ['spicy Italian cheese', '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']]