Input: the wait here is long for dim sum , but if you do n ' t like sharing tables or if the typical raucous dim sum atmosphere is not your gig , this is a sleek ( for chinatown ) alternative .

Output: [['wait', 'service general', 'negative', 'long'], ['atmosphere', 'ambience general', 'negative', 'NULL'], ['NULL', 'restaurant miscellaneous', 'negative', 'NULL']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: a few tips : skip the turnip cake , roast pork buns and egg custards .

Output: [['turnip cake', 'food quality', 'negative', 'skip'], ['roast pork buns', 'food quality', 'negative', 'skip'], ['egg custards', 'food quality', 'negative', 'skip']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: these are overpriced and you can get better just around the corner :

Output: [['NULL', 'food prices', 'negative', 'overpriced'], ['NULL', 'food quality', 'negative', 'NULL']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: i was pleasantly suprised .

Output: [['NULL', 'restaurant general', 'positive', 'pleasantly'], ['NULL', 'restaurant general', 'positive', 'suprised']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: the food was exceptional .

Output: [['food', 'food quality', 'positive', 'exceptional']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: i choose to go with one of the special , the braised lamb shank in red wine , which was excellent .

Output: [['braised lamb shank in red wine', 'food quality', 'positive', 'excellent']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: the service was friendly and the atmosphere was casual .

Output: [['service', 'service general', 'positive', 'friendly'], ['atmosphere', 'ambience general', 'neutral', 'casual']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: the restaurant is a bit noisy but that is something that can be overlooked once you sit down and enjoy a great meal

Output: [['meal', 'food quality', 'positive', 'enjoy'], ['meal', 'food quality', 'positive', 'great'], ['restaurant', 'ambience general', 'negative', 'noisy']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: this little place has a cute interior decor and affordable city prices .

Output: [['interior decor', 'ambience general', 'positive', 'cute'], ['place', 'restaurant prices', 'positive', 'little']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: the pad se ew chicken was delicious , however the pad thai was far too oily .

Output: [['pad se ew chicken', 'food quality', 'positive', 'delicious'], ['pad thai', 'food quality', 'negative', 'oily']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: have eaten at ginger house several times , and it ' s always good .

Output: [['ginger house', 'restaurant general', 'positive', 'good']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: the fried dumplings are great !

Output: [['fried dumplings', 'food quality', 'positive', 'great']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: finally a reliable chinese restaurant !

Output: [['chinese restaurant', 'restaurant general', 'positive', 'reliable']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: this place would be so much better served by being run by a group that actually understands customer service .

Output: [['customer service', 'service general', 'negative', 'NULL']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: the only thing you can do here is walk in and eat . . but planning an event , especially a small , intimate one , forget about it .

Output: [['NULL', 'restaurant miscellaneous', 'negative', 'NULL']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: they are not helpful in the least and will give you the grand run around so by the time the event date rolls around you will not only regret chosing this place , but also become hostile !

Output: [['NULL', 'service general', 'negative', 'not helpful']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: nobody at this restaurant will give firm answers about anything and in the end , not one person takes responsibility for anything .

Output: [['NULL', 'service general', 'negative', 'NULL']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: terrible , terrible management - deserves to be shut - down .

Output: [['management', 'service general', 'negative', 'terrible'], ['management', 'service general', 'negative', 'terrible'], ['NULL', 'restaurant general', 'negative', 'NULL']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: never fails to please .

Output: [['NULL', 'restaurant general', 'positive', 'please']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: delicious bagels , especially when right out of the oven .

Output: [['bagels', 'food quality', 'positive', 'delicious']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: spreads and toppings are great - though a bit pricey .

Output: [['spreads', 'food quality', 'positive', 'great'], ['spreads', 'food prices', 'negative', 'pricey'], ['toppings', 'food quality', 'positive', 'great'], ['toppings', 'food prices', 'negative', 'pricey']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: service is fast and friendly .

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

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: only drawback - they wo n ' t toast your bagel , and they do n ' t make eggs for the bagel .

Output: [['NULL', 'service general', 'negative', 'NULL']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: but that is highly forgivable .

Output: [['NULL', 'restaurant miscellaneous', 'positive', 'forgivable']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: been there , done that , and new york , it ' s not that big a deal .

Output: [['NULL', 'restaurant general', 'neutral', 'NULL']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: the food is decent at best , and the ambience , well , it ' s a matter of opinion , some may consider it to be a sweet thing , i thought it was just annoying .

Output: [['food', 'food quality', 'negative', 'decent'], ['ambience', 'ambience general', 'negative', 'annoying']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: if celebrities make you sweat , then your in for a ride , but if your like most around these parts then you ' ll just yawn and wonder whats with all the hype .

Output: [['NULL', 'restaurant miscellaneous', 'negative', 'NULL']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: rao is a good restaurant , but it ' s nothing special .

Output: [['rao', 'restaurant general', 'neutral', 'good'], ['rao', 'restaurant general', 'neutral', 'nothing special']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: but after last night , spice grill is the only place i ' m eating indian cuisine .

Output: [['indian cuisine', 'food quality', 'positive', 'NULL']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: you must try the shrimp appetizers .

Output: [['shrimp appetizers', 'food quality', 'positive', 'NULL']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: even my indian friend could n ' t believe how good and tasty everything was .

Output: [['NULL', 'food quality', 'positive', 'good'], ['NULL', 'food quality', 'positive', 'tasty']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: this place has the the correct ambience and an excellent staff to make you feel like a guest and a friend at the same time .

Output: [['ambience', 'ambience general', 'positive', 'correct'], ['staff', 'service general', 'positive', 'excellent']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: great food , great prices , great service .

Output: [['food', 'food quality', 'positive', 'great'], ['service', 'service general', 'positive', 'great'], ['NULL', 'restaurant prices', 'positive', 'great']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: if you are looking for a good quality , cheap eats - this is the place .

Output: [['eats', 'food quality', 'positive', 'good quality'], ['eats', 'food prices', 'positive', 'cheap']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: it ' s a perfect place to have a amazing indian food .

Output: [['indian food', 'food quality', 'positive', 'amazing']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: i really loved the different and inovated touch that ' s the cheff gives to the food .

Output: [['cheff', 'food style_options', 'positive', 'loved'], ['cheff', 'food style_options', 'positive', 'inovated']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: also it ' s great to have dinner in a very romantic and comfortable place , the service it ' s just perfect . . . they ' re so frendly that we never want to live the place !

Output: [['service', 'ambience general', 'positive', 'place'], ['service', 'ambience general', 'positive', 'the'], ['just', 'service general', 'positive', "' re"]]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: their bagels are fine , but they are a little overcooked , and not really a ' special ' bagel experience .

Output: [['bagels', 'food quality', 'negative', 'fine'], ['bagels', 'food quality', 'negative', 'overcooked']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: great bagels made the old - fashioned way .

Output: [['bagels', 'food quality', 'positive', 'great'], ['bagels', 'food style_options', 'positive', 'great']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: drawbacks : service is slow and they do n ' t toast !

Output: [['service', 'service general', 'negative', 'slow']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: the food was absolutely amazing ! !

Output: [['food', 'food quality', 'positive', 'amazing']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: the baked clams octopus we shared as appetizers were the best we ' ve ever had ! !

Output: [['baked clams octopus', 'food quality', 'positive', 'best']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: the lamb was tender so full of flavor , the dessert was divine ! !

Output: [['lamb', 'food quality', 'positive', 'tender'], ['lamb', 'food quality', 'positive', 'full of flavor'], ['dessert', 'food quality', 'positive', 'divine']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: the waiter was attentive .

Output: [['waiter', 'service general', 'positive', 'attentive']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: the place itself is beautiful the bar scene seems to be happening .

Output: [['place', 'ambience general', 'positive', 'beautiful'], ['bar scene', 'ambience general', 'positive', 'NULL']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: downtown dinner 2002 - prixe fix : appetizers were ok , waiter gave me poor suggestion . . . try the potato stuff kanish best one .

Output: [['appetizers', 'food quality', 'neutral', 'ok'], ['waiter', 'service general', 'negative', 'poor'], ['waiter', 'service general', 'negative', 'poor']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: dessert is a joke . . . dont bother

Output: [['dessert', 'food quality', 'negative', 'joke']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: volare virgins or weekly regulars , everyone gets treated the same and you ca n ' t ask for more than that when the service is this friendly .

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

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: the restaurant has a family feel , not least with regard to the portions which are enormous ; the veal alone could have single - handedly solved third world famine .

Output: [['restaurant', 'ambience general', 'positive', 'family feel'], ['portions', 'food style_options', 'positive', 'enormous'], ['veal', 'food style_options', 'positive', 'NULL']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: the anti - pasta was excellent , especially the calamari , as were the filling pasta mains .

Output: [['anti - pasta', 'food quality', 'positive', 'excellent'], ['calamari', 'food quality', 'positive', 'excellent'], ['pasta mains', 'food quality', 'positive', 'excellent'], ['pasta mains', 'food style_options', 'positive', 'excellent']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: the wine list is extensive and can easily hike up an otherwise reasonably priced meal .

Output: [['wine list', 'drinks style_options', 'positive', 'extensive'], ['meal', 'food prices', 'positive', 'reasonably priced']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: still , any quibbles about the bill were off - set by the pour - your - own measures of liquers which were courtesey of the house . . .

Output: [['measures of liquers', 'drinks style_options', 'positive', 'pour - your - own'], ['measures of liquers', 'drinks style_options', 'positive', 'courtesey'], ['NULL', 'restaurant prices', 'neutral', 'NULL']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: fantastic place .

Output: [['place', 'restaurant general', 'positive', 'fantastic']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: a pleasant surprise .

Output: [['NULL', 'restaurant general', 'positive', 'pleasant']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: go there to relax and feel like your somewhere else .

Output: [['NULL', 'ambience general', 'positive', 'relax']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: lucky strike is a great casual place to just grab a bite to eat .

Output: [['lucky strike', 'restaurant general', 'positive', 'great'], ['lucky strike', 'restaurant general', 'positive', 'casual']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: great food , great decor , great service .

Output: [['food', 'food quality', 'positive', 'great'], ['decor', 'ambience general', 'positive', 'great'], ['service', 'service general', 'positive', 'great']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: i recommend it !

Output: [['NULL', 'restaurant general', 'positive', 'recommend']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: this is the perfect spot for meeting friends , having lunch , dinner , pre - theatre or after - theatre drinks !

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

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: ( always ask the bartender for the seasonal beer ! ! !

Output: [['seasonal beer', 'drinks quality', 'positive', 'NULL']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: guaranteed to be a tasty experience ! )

Output: [['NULL', 'drinks quality', 'positive', 'tasty']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: i have been doing all of the above at the heartland brewery for over 5 years now and i have never been disappointed !

Output: [['heartland brewery', 'restaurant general', 'positive', 'never been disappointed']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: all the people that i bring there go back on their own and bring their friends !

Output: [['NULL', 'restaurant miscellaneous', 'positive', 'NULL']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: go there once and oh yes . . . you will go back . . . you will . . .

Output: [['NULL', 'restaurant general', 'positive', 'NULL']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: a cool bar with great food , and tons of excellent beer .

Output: [['bar', 'ambience general', 'positive', 'cool'], ['food', 'food quality', 'positive', 'great'], ['beer', 'drinks quality', 'positive', 'excellent'], ['beer', 'drinks style_options', 'positive', 'excellent']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: and even with it ' s pub atmosphere they were great to my kids too !

Output: [['NULL', 'service general', 'positive', 'NULL']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: loved it !

Output: [['NULL', 'restaurant general', 'positive', 'loved']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: the shrimp scampi was excellent and the antipasti were plentiful .

Output: [['shrimp scampi', 'food quality', 'positive', 'excellent'], ['antipasti', 'food style_options', 'positive', 'plentiful']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: it is expensive but well worth the money .

Output: [['NULL', 'restaurant prices', 'negative', 'expensive'], ['NULL', 'restaurant general', 'positive', 'worth']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: if you venture off the island of manhattan and ca n ' t seem to find a great italian restaurant , drive to corona .

Output: [['corona', 'restaurant general', 'positive', 'NULL']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: the only thing more wonderful than the food ( which is exceptional ) is the service .

Output: [['food', 'food quality', 'positive', 'exceptional'], ['service', 'service general', 'positive', 'wonderful']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: the only thing the waiters do n ' t do for you is wipe your chin when you leave .

Output: [['waiters', 'service general', 'positive', 'NULL']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: wonderful at holiday time .

Output: [['NULL', 'restaurant miscellaneous', 'positive', 'wonderful']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: cozy romantic atomosphere with only around 15 tables at most .

Output: [['atomosphere', 'ambience general', 'positive', 'cozy'], ['atomosphere', 'ambience general', 'positive', 'romantic']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: food was very good , but not what i would consider out of this world .

Output: [['food', 'food quality', 'neutral', 'good']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: go here for a romantic dinner but not for an all out wow dining experience .

Output: [['NULL', 'ambience general', 'positive', 'romantic'], ['NULL', 'restaurant miscellaneous', 'positive', 'wow']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: my friend from milan and myself were pleasantly surprised when we arrived and everyone spoke italian .

Output: [['NULL', 'restaurant miscellaneous', 'positive', 'surprised']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: too bad the food was n ' t of the same heritage .

Output: [['food', 'food quality', 'negative', 'bad']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: the porcini mushroom pasta special was tasteless , so was the seafood tagliatelle .

Output: [['porcini mushroom pasta special', 'food quality', 'negative', 'tasteless'], ['seafood tagliatelle', 'food quality', 'negative', 'tasteless']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: a real dissapointment .

Output: [['NULL', 'food quality', 'negative', 'dissapointment']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: but that was n ' t the icing on the cake : a tiramisu that resembled nothing i have ever had .

Output: [['tiramisu', 'food quality', 'negative', 'nothing']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: they should have called it mascarpone with chocolate chips - good but a far cry from what the name implies .

Output: [['NULL', 'food quality', 'negative', 'NULL']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: priced at upper intermediate range .

Output: [['NULL', 'restaurant prices', 'negative', 'NULL']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: it was pretty inexpensive too .

Output: [['NULL', 'restaurant prices', 'positive', 'inexpensive']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: this place has the best chinese style bbq ribs in the city .

Output: [['bbq ribs', 'food quality', 'positive', 'best'], ['bbq ribs', 'food style_options', 'positive', 'best']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: it ' s great to go for a quick lunch either alone or with a friend .

Output: [['NULL', 'restaurant miscellaneous', 'positive', 'great']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


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

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

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


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

Output: [['food', 'food quality', 'positive', 'great'], ['food', 'food prices', 'positive', 'great'], ['decor', 'ambience general', 'neutral', 'NULL']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: quick and friendly service .

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

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: this is one of the best comfort food places in the city .

Output: [['NULL', 'restaurant general', 'positive', 'best'], ['NULL', 'restaurant general', 'positive', 'comfort']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: it ' s somewhere you can eat and be happy .

Output: [['NULL', 'restaurant general', 'positive', 'happy']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


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

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

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


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

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

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


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

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

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: this little place definitely exceeded my expectations and you sure get a lot of food for your money .

Output: [['food', 'food style_options', 'positive', 'NULL'], ['food', 'food prices', 'positive', 'NULL'], ['place', 'restaurant general', 'positive', 'exceeded my expectations']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


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

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

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: i have to say that i am pleasantly suprised and i will most likely stop in again if i am in the neighborhood .

Output: [['NULL', 'restaurant general', 'positive', 'pleasantly suprised']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: they all know you .

Output: [['NULL', 'service general', 'positive', 'NULL']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: good food .

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

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: good drink .

Output: [['drink', 'drinks quality', 'positive', 'good']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: how do you rate home ?

Output: [['NULL', 'restaurant miscellaneous', 'positive', 'NULL']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: i have never had cheescake like this .

Output: [['cheescake', 'food quality', 'positive', 'NULL']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: i thought i had died and gone to heaven .

Output: [['NULL', 'food quality', 'positive', 'NULL']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


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

Output: [['spot', 'restaurant general', 'positive', 'great'], ['spot', 'restaurant miscellaneous', 'positive', 'great']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


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

Output: [['outdoor seating', 'ambience general', 'positive', 'terrific'], ['NULL', 'ambience general', 'positive', 'warm'], ['NULL', 'ambience general', 'positive', 'friendly']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


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

Output: [['food', 'food quality', 'positive', 'great'], ['wines', 'drinks style_options', 'positive', 'good selection'], ['wines', 'drinks prices', 'positive', 'reasonable']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: we were less than impressed .

Output: [['NULL', 'restaurant general', 'negative', 'less than impressed']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


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

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

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: we ordered the chicken casserole , but what we got were a few small pieces of chicken , all dark meat and on the bone .

Output: [['chicken casserole', 'food quality', 'negative', 'NULL'], ['chicken casserole', 'food style_options', 'negative', 'NULL']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: probably would not go again . . .

Output: [['NULL', 'restaurant general', 'negative', 'NULL']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


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

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

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


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

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

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


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

Output: [['service', 'service general', 'positive', 'friendly'], ['NULL', 'restaurant miscellaneous', 'positive', 'NULL']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: skip dessert .

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

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: best reuben sandwich ever !

Output: [['reuben sandwich', 'food quality', 'positive', 'best']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: a classic !

Output: [['NULL', 'food quality', 'positive', 'classic']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: do n ' t miss bloom ' s on your next trip to manhatten .

Output: [["bloom ' s", 'restaurant general', 'negative', "n ' t miss"]]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: it was the first place we ate on our first trip to new york , and it will be the last place we stop as we head out of town on our next trip to new york .

Output: [['place', 'restaurant miscellaneous', 'positive', 'NULL']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: thanks bloom ' s for a lovely trip .

Output: [["bloom ' s", 'restaurant general', 'positive', 'lovely']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


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

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

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: it just was n ' t thai .

Output: [['NULL', 'food quality', 'negative', 'NULL']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: was surprisingly disappointed .

Output: [['NULL', 'food quality', 'negative', 'disappointed']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: pizza was a little soggy .

Output: [['pizza', 'food quality', 'negative', 'soggy']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: ravioli was good . . . but i have to say that i found everything a bit overpriced .

Output: [['ravioli', 'food quality', 'positive', 'good'], ['NULL', 'food prices', 'negative', 'overpriced']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: not enough wines by the glass either .

Output: [['wines by the glass', 'drinks style_options', 'negative', 'not enough']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: service , however , was excellent . . . and i liked the setting / atmosphere a lot .

Output: [['service', 'service general', 'positive', 'excellent'], ['setting / atmosphere', 'ambience general', 'positive', 'liked']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


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

Output: [['food', 'food quality', 'neutral', 'average'], ['NULL', 'restaurant prices', 'negative', 'NULL']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: authentic pakistani food .

Output: [['pakistani food', 'food quality', 'positive', 'authentic']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: just straight up cheap , good food .

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

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: faan is sooo good .

Output: [['faan', 'restaurant general', 'positive', 'good']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: the design and atmosphere is just as good .

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

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: bottles of wine are cheap and good .

Output: [['bottles of wine', 'drinks prices', 'positive', 'cheap'], ['bottles of wine', 'drinks quality', 'positive', 'good']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: what more could you want ?

Output: [['NULL', 'restaurant general', 'positive', 'NULL']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: the food was actually aweful .

Output: [['food', 'food quality', 'negative', 'aweful']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


Input: i ' m not picky - but it was actually gross .

Output: [['NULL', 'food quality', 'negative', 'gross']]

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '


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

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

Instruction: Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. "  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '