Input: Not alot of smoking places left in New York , but I have found my favorite smoking balconey in the city .

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

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


Input: The sushi here is delicious !

Output: [['sushi', '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: They have a wide variety of fish and they even list which oceans they come from ; Atlantic or Pacific .

Output: [['fish', 'wide variety', 'positive']]

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


Input: I 've had the Jellyfish , Horse Mackerel , Blue Fin Tuna and the Sake Ikura roll among others , and they were all good .

Output: [['Jellyfish', 'good', 'positive'], ['Horse Mackerel', 'good', 'positive'], ['Blue Fin Tuna', 'good', 'positive'], ['Sake Ikura roll', '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 decor is rustic , traditional Japanese .

Output: [['decor', 'rustic', 'neutral'], ['decor', 'traditional Japanese', 'neutral']]

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


Input: The service was courteous and attentive .

Output: [['service', 'courteous', '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: Mediocre food

Output: [['food', 'Mediocre', 'neutral']]

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


Input: The outside patio area has an abbreviated menu .

Output: [['menu', 'abbreviated', '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: My g/f and I both agreed the food was very mediocre especially considering the price .

Output: [['food', 'mediocre', '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 are locals , and get the feeling the only way this place survives with such average food is because most customers are probably one-time customer tourists .

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

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


Input: Service was decent .

Output: [['Service', 'decent', '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: Drinks were good .

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

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


Input: Excellent food , nice ambience , fairly expensive

Output: [['food', 'Excellent', 'positive'], ['ambience', 'nice', 'positive']]

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


Input: – I loved the pumpkin ravioli and the goat cheese gnocchi ( 5 big ones to a plate instead of 20 or so little gnocchis ) and my sister loved her filet mignon on top of spinach and mashed potatoes .

Output: [['pumpkin ravioli', 'loved', 'positive'], ['goat cheese gnocchi', 'loved', 'positive'], ['filet mignon on top of spinach and mashed potatoes', '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: The ambiance was a peaceful and relaxing break amongst all the kids running around in Downtown Disney .

Output: [['ambiance', 'peaceful', 'positive'], ['ambiance', 'relaxing', 'positive']]

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


Input: Best Indian food in L.A .

Output: [['Indian food', '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 chicken curry and chicken tikka masala are my favorite meat dishes .

Output: [['chicken curry', 'favorite', 'positive'], ['chicken tikka masala', 'favorite', 'positive']]

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


Input: The chana masala ( garbanzo beans ) are also excellent .

Output: [['chana masala ( garbanzo beans )', '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: It 's located in a strip mall near the Beverly Center , not the greatest location , but the food keeps me coming back for more .

Output: [['location', 'not the greatest', '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: Never too crowded and 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: I can highly recommend their various saag and paneer and korma .

Output: [['saag', 'recommend', 'positive'], ['paneer', 'recommend', 'positive'], ['korma', '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 appreciate their delivery too .

Output: [['delivery', 'appreciate', 'positive']]

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


Input: Nice food but no spice !

Output: [['food', 'Nice', '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 really enjoyed my meal here .

Output: [['meal', 'enjoyed', 'positive']]

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


Input: I had yummy lamb korma , saag paneer , samosas , naan , etc .

Output: [['lamb korma', 'yummy', 'positive'], ['saag paneer', 'yummy', 'positive'], ['samosas', 'yummy', 'positive'], ['naan', 'yummy', 'positive']]

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


Input: The food was all good but it was way too mild .

Output: [['food', 'good', 'negative'], ['food', 'too mild', '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 naan was some of the best I 've had and I really enjoyed the bhartha , not too tomatoey .

Output: [['naan', 'best', 'positive'], ['bhartha', '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: Even the chickpeas , which I normally find too dry , were good .

Output: [['chickpeas', '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 do n't understand how I was a stranger to this place for so long ... the fajita salad , the colorado , the fajitas - EVERYTHING is delicious .

Output: [['fajita salad', 'delicious', 'positive'], ['colorado', 'delicious', 'positive'], ['fajitas', '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: I love the warm & cosy environment .

Output: [['environment', 'warm', 'positive'], ['environment', 'cosy', 'positive']]

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


Input: best restaurant in the world , great decor , great customer service , friendly manager

Output: [['restaurant', 'best', 'positive'], ['decor', 'great', 'positive'], ['customer service', 'great', 'positive'], ['manager', '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 am never disappointed with there food .

Output: [['food', 'never disappointed', 'positive']]

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


Input: the atmosphere is great .

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

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


Input: great lunch spot

Output: [['lunch spot', 'great', 'positive']]

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


Input: – Great financial district mexican spot .

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

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


Input: Always busy , but they are good at seating you promptly and have quick service .

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: Everything I 've had here is good , taco salads , burritos , enchiladas i love this place .

Output: [['taco salads', 'good', 'positive'], ['burritos', 'good', 'positive'], ['enchiladas', 'good', 'positive'], ['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: Also have great margaritas !

Output: [['margaritas', '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 simply unforgettable !

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

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the 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 are friendly and the decor was ethic and colorful .

Output: [['staff', 'friendly', 'positive'], ['decor', 'ethic', 'positive'], ['decor', 'colorful', 'positive']]

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


Input: Holy Hummus !

Output: [['Hummus', 'Holy', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the 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 here is incredible , though the quality is inconsistent during lunch .

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

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


Input: Dinners have always been excellent , in terms of food quality .

Output: [['Dinners', '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 side of potatoes is to die for , as is the labne ( yogurt dip ) .

Output: [['side of potatoes', 'die for', 'positive'], ['labne ( yogurt dip )', 'side of potatoes', 'positive']]

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


Input: Also , they serve THE best hummus in America , with a drizzle of fragrant olive oil ( which , I believe is the traditional way ) !

Output: [['hummus', '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 only drawback is the crowded seating and the slow service .

Output: [['seating', 'crowded', 'negative'], ['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: However , this place is a gem , and I wo n't stop going back .

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

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the 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 beer

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

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


Input: I swore never to return for a warm beer and mediocre meal .

Output: [['beer', 'warm', 'negative'], ['meal', 'mediocre', '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 band was very good and the service was attentive .

Output: [['band', 'good', '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: We ordered a selection of the small plates , and the shoe string onions , goat cheese pizza , grilled asparagus and fried brie with fruit were all very good .

Output: [['shoe string onions', 'good', 'positive'], ['goat cheese pizza', 'good', 'positive'], ['grilled asparagus', 'good', 'positive'], ['fried brie with fruit', '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: Seattle 's BEST Winelist

Output: [['Winelist', '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 sommelier is fantastic , down-to-earth , & extremely knowlegable .

Output: [['sommelier', 'fantastic', 'positive'], ['sommelier', 'down-to-earth', 'positive'], ['sommelier', 'knowlegable', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the 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 not what it once was ( potions have seriously seen downsizing ) prices have gone up , and the service is the worst I have experienced anywhere ( including mainland Europe ) .

Output: [['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: Open & Cool Place with the Best Pizza and Coffee

Output: [['Place', 'Cool', 'positive'], ['Pizza', 'Best', 'positive'], ['Coffee', '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: – Mioposto has a very creative & delicious pizza menu .

Output: [['pizza menu', 'creative', 'positive'], ['pizza menu', '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 coffe is very good , too .

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

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


Input: Great open and friendly ambience .

Output: [['ambience', 'Great open', 'positive'], ['ambience', '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: This place is charming and relaxing .

Output: [['place', 'charming', 'positive'], ['place', 'relaxing', 'positive']]

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


Input: The servers behind the counter are always friendly and helpful .

Output: [['servers behind the counter', 'friendly', 'positive'], ['servers behind the counter', 'helpful', 'positive']]

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


Input: It 's a great place to enjoy food and meet friends .

Output: [['food', 'enjoy', '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: Great food , spectacular location , and friendly service keep us coming back year after year .

Output: [['food', 'Great', 'positive'], ['location', 'spectacular', '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: Enjoyed the food

Output: [['food', '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: Food was good and cheap .

Output: [['Food', 'good', 'positive'], ['Food', '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: I had the kafta plate and I enjoyed it .

Output: [['kafta plate', '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: Atmosphere was nice .

Output: [['Atmosphere', '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: Service was kind of slow , our waitress took forever to give us our check even though it was n't that busy .

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: Still I would 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: WHAT ELSE CAN YOU SAY NICE PEOPLE AMAZING FOOD WOW

Output: [['FOOD', 'AMAZING', 'positive'], ['PEOPLE', '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: Great food with an awesome atmosphere !

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

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


Input: – Eggs , pancakes , potatoes , fresh fruit and yogurt -- everything they serve is delicious .

Output: [['Eggs', 'delicious', 'positive'], ['pancakes', 'delicious', 'positive'], ['potatoes', 'delicious', 'positive'], ['fresh fruit', 'delicious', 'positive'], ['yogurt', '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: great meal – the fish on the omikase platter was absolutely decadent -- there was none of the stringiness that sometimes accompanies fair sushi -- this fish was perfect ! ! ! !

Output: [['meal', 'great', 'positive'], ['fish on the omikase platter', 'decadent', 'positive'], ['fish on the omikase platter', 'perfect', 'positive']]

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


Input: plus , i am allergic to rice , and the waitstaff was unbelievably accomodating -- did n't even bat an eye !

Output: [['waitstaff', 'accomodating', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the 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 waiter suggested a perfect sake ! !

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

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


Input: Unbeatable sushi !

Output: [['sushi', 'Unbeatable', 'positive']]

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


Input: Melt in your mouth nigiri and sashmi , and very tasty rolls too .

Output: [['rolls', '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: Be sure to try the oyster roll .

Output: [['oyster roll', '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: – How to describe the best sushi in NYC : hmmmm , delicious , amazing , fantastic , suculent , perfect , nah , all of the above .

Output: [['sushi', '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 best Chuwam Mushi I have ever had .

Output: [['Chuwam Mushi', 'best', 'positive']]

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


Input: Good Sushi , High Price

Output: [['Sushi', '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: One of the best Sushi place in town .

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

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


Input: The house special roll is really good .

Output: [['house special roll', '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 ca n't believe Murphy 's has been around for over 25 years , amazing .

Output: [["Murphy 's", 'amazing', 'positive']]

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


Input: Brunch at Murphy 's is to die for , my specialty ... egg white omelet , the food is always freshly prepared .

Output: [['food', 'freshly prepared', 'positive']]

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


Input: It 's the perfect spot for a romantic date for 2 or a secret rendezvous !

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

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


Input: Save room for scrumptious desserts .

Output: [['desserts', 'scrumptious', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the 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 restaurant offers an extensive wine list and an ambiance you wo n't forget !

Output: [['wine list', 'extensive', 'positive'], ['ambiance', "wo n't forget", 'positive']]

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


Input: – Best Mexican place for lunch in the financial district .

Output: [['Mexican place', 'Best', 'positive']]

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


Input: Love the enchiladas and chicken soup - and be sure to check out their specials .

Output: [['enchiladas', 'Love', 'positive'], ['chicken soup', '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: Can get busy on Fridays for a table but once seated , the service is so efficient you can be in and out of there quickly .

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

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


Input: The sushi was excellent and the wait staff was quick .

Output: [['sushi', 'excellent', 'positive'], ['wait staff', '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 atmosphere was just okay .

Output: [['atmosphere', 'okay', '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: Space was limited , but the food made up for it .

Output: [['Space', '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 stood there for 10 minutes while employees walked back and forth ignoring us .

Output: [['employees', 'ignoring', '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 Caesar salad I ordered had so much lemon I could n't eat it .

Output: [['Caesar salad', "could n't 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: Great food , better Margaritas !

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

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the 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 one of my top lunch spots , huge portions , fast service and amazing margaritas ! !

Output: [['portions', 'huge', 'positive'], ['service', 'fast', 'positive'], ['margaritas', 'amazing', 'positive']]

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


Input: it gets really busy , so get there on the early side so you can grab a seat , if you do have to wait , its not bad because the service is 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: Check out the art on the walls , very colorful !

Output: [['art on the walls', 'colorful', 'positive']]

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


Input: i love this place !

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

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


Input: – i have been eating at this place for over 8 years now and i have never had one bad meal .

Output: [['meal', 'bad', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the 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 lunch menu is an awesome deal !

Output: [['lunch menu', 'awesome', 'positive']]

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


Input: plenty of food , trust me .

Output: [['food', 'plenty of', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the 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 ingrediants and super tasty .

Output: [['ingrediants', 'Fresh', 'positive'], ['ingrediants', '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: Best food , phenominal service

Output: [['food', 'Best', 'positive'], ['service', 'phenominal', 'positive']]

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


Input: For the finicky sushi eater and those who have sampled the best NYC has to offer , the fish is the freshest and the service is superb .

Output: [['fish', 'freshest', 'positive'], ['service', 'superb', 'positive']]

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


Input: Not only can the selection be innovative , but there 's a nice balance of traditional sushi as well .

Output: [['selection', 'innovative', 'positive'], ['sushi', 'nice', 'positive'], ['sushi', 'traditional', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the 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 nicest waiters in town .

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

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


Input: – This place is unbelievably over-rated .

Output: [['place', 'over-rated', '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 I want to stand in line on Sunday for an hour to get average brunch food , then I would put Murphy 's at the top of the list .

Output: [['brunch food', 'average', 'neutral']]

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


Input: The regular menu here is slightly above average that is not worth the snotty attitude that you receive .

Output: [['regular menu', 'above average', 'neutral'], ['regular menu', 'not worth the snotty attitude', '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: Your a sushi fan , you love expertly cut fish , great sake , a killer SOHO location , and of course : Salmon , Tuna , Fluke , Yellow Tail , Cod , Mackeral , Jellyfish , Sea Urchin , Shrimp , Lobster , Sea Bream , Trout , Milk Fish , Blue Fin Tuna , Eel , Crab , Sardine , Monk Fish , Roe , Scallop , Oysters , and a varity of Toro .

Output: [['fish', 'love expertly cut', 'positive'], ['sake', 'great', 'positive'], ['SOHO location', 'killer', 'positive']]

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


Input: Bring your cell phone cause you may have to wait to get into the best sushi restaurant in the world : BLUE RIBBON SUSHI .

Output: [['BLUE RIBBON SUSHI', '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: Hands down , the best tuna I have ever had .

Output: [['tuna', '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: Blue Ribbon lives up to it 's fantastic reputation .

Output: [['Blue Ribbon', '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: Great value sushi with high quality & nice setting .

Output: [['sushi', 'Great value', 'positive'], ['sushi', 'high quality', 'positive'], ['sushi', 'nice setting', 'positive'], ['setting', '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: Try the Chef 's Choice for sushi as the smoked yellowtail was incredible and the rolls were also tasty .

Output: [['rolls', 'tasty', 'positive'], ['smoked yellowtail', 'incredible', 'positive']]

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


Input: Poor customer service / poor pizza .

Output: [['customer service', 'Poor', 'negative'], ['pizza', 'Poor', 'negative']]

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


Input: – As with most restaurants in Seattle , Mioposto 's service was bad and the food was overpriced .

Output: [['service', 'bad', 'negative'], ['food', 'overpriced', 'negative']]

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


Input: I know many people have their favorite types of pizza and pizza places , but Mioposto 's pizza lacks quality and good taste .

Output: [['pizza', 'lacks quality and good taste', '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: To be honest , I 've had better frozen pizza .

Output: [['pizza', 'better', 'negative']]

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


Input: The only positive thing about Mioposto is the nice location .

Output: [['location', '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 was frankly shocked when I read the bad reviews - this place is fantastic ; it has not let us down in any way , and we 've eaten here more than 10 times .

Output: [['place', '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: The food is fantastic , and the waiting staff has been perfect every single time we 've been there .

Output: [['food', 'fantastic', 'positive'], ['waiting staff', 'perfect', 'positive']]

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


Input: Seabass on lobster risotto was the best .

Output: [['Seabass on lobster risotto', '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: Caesar salad was superb .

Output: [['Caesar salad', 'superb', 'positive']]

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


Input: Great bottle of wine .

Output: [['bottle of wine', '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 ok , but the service was so poor that the food was cold buy the time everyone in my party was served .

Output: [['food', 'ok', 'neutral'], ['service', 'poor', 'negative']]

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


Input: AVOID THE PLACE

Output: [['PLACE', 'AVOID', 'negative']]

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


Input: When I got there I sat up stairs where the atmosphere was cozy & the service was horrible !

Output: [['atmosphere', 'cozy', 'positive'], ['service', '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: We left without ever getting service .

Output: [['service', 'without ever', 'negative']]

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


Input: Best Crab Cakes in Town

Output: [['Crab Cakes', '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: Great seasonal fish and seafood , with a classy waterfront setting .

Output: [['seasonal fish', 'Great', 'positive'], ['seafood', 'Great', 'positive'], ['waterfront setting', 'classy', 'positive']]

Instruction: Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the 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 , Poor Service

Output: [['Pizza', 'Great', 'positive'], ['Service', 'Poor', 'negative']]

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


Input: – Love their pizza , especially the mushroom pizza .

Output: [['pizza', 'Love', 'positive'], ['mushroom pizza', '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: Also love their caeser salad .

Output: [['caeser salad', '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: Prefer to order it and pick it up though because I do n't like the servers , one young woman in particular .

Output: [['servers', "do n't like", 'negative'], ['young woman', "do n't like", '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: Many people talk about the great pizza and poor service , so it ca n't just be the rantings of a few dissatisfied customers .

Output: [['pizza', 'great', 'positive'], ['service', 'poor', 'negative']]

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


Input: It 's a great little place with tons of potential to be a neighborhood joint if the service were n't so impersonal and corporate-like .

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

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


Input: Great Breakfast

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

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


Input: The food is great and they make a mean bloody mary .

Output: [['food', 'great', 'positive'], ['bloody mary', 'mean', 'positive']]

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


Input: I love breakfast here .

Output: [['breakfast', '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: Their crab eggs benedict is addicting .

Output: [['crab eggs benedict', 'addicting', 'positive']]

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


Input: All their menu items are a hit , and they serve mimosas .

Output: [['menu items', 'hit', 'positive']]

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


Input: best chinese food i have tasted in a long time

Output: [['chinese food', '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 ambiance of the restaurant was nice and good for fine dinning .

Output: [['ambiance', 'nice', 'positive'], ['ambiance', 'good', 'positive']]

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


Input: the staff was very nice and courteous and obviously chinese .

Output: [['staff', 'nice', 'positive'], ['staff', 'courteous', 'positive'], ['staff', 'chinese', 'positive']]

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


Input: so about the prawns , they were fresh and had a slight crispiness about the batter ... soooo good ... the walnuts were cut in smaller pieces and very crunchy and tasty .

Output: [['prawns', 'fresh', 'positive'], ['batter', 'crispiness', 'positive'], ['walnuts', 'crunchy', 'positive'], ['walnuts', '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: best honey walnyt prawns that we have every tasted .

Output: [['honey walnyt prawns', '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 brocollis were so fresh and tasty .

Output: [['brocollis', 'fresh', 'positive'], ['brocollis', '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 would normally not finish the brocolli when i order these kinds of food but for the first time , every piece was as eventful as the first one ... the scallops and prawns was so fresh and nicely cooked .

Output: [['scallops', 'fresh', 'positive'], ['scallops', 'nicely cooked', 'positive'], ['prawns', 'fresh', 'positive'], ['prawns', 'nicely cooked', 'positive']]

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


Input: Chintzy portions

Output: [['portions', 'Chintzy', '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 sushi here is perfectly good , but for $ 5 a piece , either the slices of fish should be larger , or there should be no pretense that this is a moderately priced restaurant ( even for NYC ) .

Output: [['sushi', 'good', 'negative'], ['restaurant', 'moderately 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: Terrible service , food ok , pricey

Output: [['service', 'Terrible', 'negative'], ['food', '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']]