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generation | acos | [
"we were then shooed inside ."
] | [['NULL', 'service general', 'negative', 'shooed']] | none | 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']] ' |
||
generation | acos | [
"one would think we ' d get an apology or complimentary drinks - instead , we got a snobby waiter would n ' t even take our order for 15 minutes and gave us lip when we asked him to do so ."
] | [['waiter', 'service general', 'negative', 'snobby']] | none | 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']] ' |
||
generation | acos | [
"we left , never to return ."
] | [['NULL', 'restaurant general', 'negative', 'NULL']] | none | 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']] ' |
||
generation | acos | [
"with so many good restaurants on the uws , i do n ' t need overpriced food , absurdly arrogant wait - staff who do n ' t recognize they work at a glorified diner , clumsy service , and management that does n ' t care ."
] | [['food', 'food prices', 'negative', 'overpriced'], ['wait - staff', 'service general', 'negative', 'arrogant'], ['service', 'service general', 'negative', 'clumsy'], ['management', 'service general', 'negative', 'NULL']] | none | 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']] ' |
||
generation | acos | [
"i am relatively new to the area and tried pick a bgel on 2nd and was disappointed with the service and i thought the food was overated and on the pricey side ."
] | [['service', 'service general', 'negative', 'disappointed'], ['food', 'food prices', 'negative', 'pricey'], ['food', 'food quality', 'negative', 'overated']] | none | 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']] ' |
||
generation | acos | [
"baluchi ' s has solid food and a nice decor at reasonable prices ."
] | [["baluchi ' s", 'restaurant prices', 'positive', 'reasonable'], ['food', 'food quality', 'positive', 'solid'], ['decor', 'ambience general', 'positive', 'nice']] | none | 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']] ' |
||
generation | acos | [
"the only problem is that the manager is a complete incompetent ."
] | [['manager', 'service general', 'negative', 'incompetent']] | none | 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']] ' |
||
generation | acos | [
"he offers subpar service and has no personality ."
] | [['service', 'service general', 'negative', 'subpar']] | none | 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']] ' |
||
generation | acos | [
"in fact , it appears he is going to go postal at any moment ."
] | [['NULL', 'service general', 'negative', 'NULL']] | none | 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']] ' |
||
generation | acos | [
"there is no excuse for such lousy service !"
] | [['service', 'service general', 'negative', 'lousy']] | none | 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']] ' |
||
generation | acos | [
"i have never before eaten 40 pieces of relatively good nigiri ."
] | [['nigiri', 'food quality', 'neutral', 'good']] | none | 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']] ' |
||
generation | acos | [
"you can do it here ."
] | [['NULL', 'food style_options', 'positive', 'NULL']] | none | 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']] ' |
||
generation | acos | [
"$ 20 for all you can eat sushi can not be beaten ."
] | [['all you can eat sushi', 'food prices', 'positive', 'beaten']] | none | 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']] ' |
||
generation | acos | [
"i went to areo on a sunday afternoon with four of my girlfriends , and spent three enjoyable hours there ."
] | [['areo', 'restaurant general', 'positive', 'enjoyable']] | none | 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']] ' |
||
generation | acos | [
"most of the servers are very attentive , friendly and quite attractive ."
] | [['servers', 'service general', 'positive', 'attentive'], ['servers', 'service general', 'positive', 'friendly'], ['servers', 'service general', 'positive', 'attractive']] | none | 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']] ' |
||
generation | acos | [
"the vibe is very relaxed and cozy , service was great and the food was excellent !"
] | [['vibe', 'ambience general', 'positive', 'relaxed'], ['vibe', 'ambience general', 'positive', 'cozy'], ['service', 'service general', 'positive', 'great'], ['food', 'food quality', 'positive', 'excellent']] | none | 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']] ' |
||
generation | acos | [
"food was good and the view of the new york city skiline was terrific even on a foggy rainy day like that of when i went ."
] | [['food', 'food quality', 'positive', 'good'], ['view of the new york city skiline', 'location general', 'positive', 'terrific']] | none | 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']] ' |
||
generation | acos | [
"i would highly recommand requesting a table by the window ."
] | [['table by the window', 'location general', 'positive', 'recommand']] | none | 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']] ' |
||
generation | acos | [
"although they do the typical what kind of water would you like questions the service was good and overall very relaxing to place to eat ."
] | [['service', 'service general', 'positive', 'good'], ['place', 'ambience general', 'positive', 'relaxing']] | none | 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']] ' |
||
generation | acos | [
"personal pans are the perfect size for those hungry nights ."
] | [['personal pans', 'food style_options', 'positive', 'perfect']] | none | 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']] ' |
||
generation | acos | [
"i heartily recommend ."
] | [['NULL', 'restaurant general', 'positive', 'recommend']] | none | 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']] ' |
||
generation | acos | [
"there is a downside if you ' re ordering in - - the delivery guys have major attitude ."
] | [['delivery guys', 'service general', 'negative', 'downside']] | none | 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']] ' |
||
generation | acos | [
"never have i had such dramatic delivery guys ( a lot of huffing and panting and muttering under breath b / c i live in a walkup ) who always seem disappointed with their tips ."
] | [['delivery guys', 'service general', 'negative', 'dramatic']] | none | 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']] ' |
||
generation | acos | [
"love the scene first off - the place has a character and nice light to it . . very fortunate , location wise ."
] | [['scene', 'ambience general', 'positive', 'love'], ['place', 'ambience general', 'positive', 'nice'], ['location', 'location general', 'positive', 'fortunate']] | none | 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']] ' |
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generation | acos | [
"the pizza was pretty good and huge ."
] | [['pizza', 'food quality', 'positive', 'good'], ['pizza', 'food style_options', 'positive', 'huge']] | none | 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']] ' |
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generation | acos | [
"the price very reasonable ."
] | [['NULL', 'restaurant prices', 'positive', 'reasonable']] | none | 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']] ' |
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generation | acos | [
"we were 4 and got the family size penne a la vodka which was tremendously gigantic portion . . . a bucket of food literally ."
] | [['penne a la vodka', 'food style_options', 'positive', 'gigantic']] | none | 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']] ' |
||
generation | acos | [
"i would say that all was fine and tasty but the heaviness on my stomach someting that i ca n ' t not mention or undermine ."
] | [['NULL', 'food quality', 'negative', 'heaviness']] | none | 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']] ' |
||
generation | acos | [
"the pasta penne was pretty extra buttery , creamy which means a big task to diggest . . tasty at first but i would say that i was full with a slice of pizza and 7 to count , penne . . . got a little moody afterwards cause was stuffed . . . lol"
] | [['pasta penne', 'food quality', 'negative', 'buttery'], ['pasta penne', 'food style_options', 'negative', 'NULL']] | none | 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']] ' |
||
generation | acos | [
"i love it ."
] | [['NULL', 'restaurant general', 'positive', 'love']] | none | 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']] ' |
||
generation | acos | [
"i plan on stopping by next week as well ."
] | [['NULL', 'restaurant general', 'positive', 'NULL']] | none | 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']] ' |
||
generation | acos | [
"i found it on a cold night , the perfect spot to warm up ."
] | [['spot', 'restaurant miscellaneous', 'positive', 'perfect']] | none | 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']] ' |
||
generation | acos | [
"i recieved prompt service with a smile ."
] | [['service', 'service general', 'positive', 'prompt']] | none | 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']] ' |
||
generation | acos | [
"to me it exemplifies soho , cute , artsy , interesting ."
] | [['NULL', 'ambience general', 'positive', 'cute'], ['NULL', 'ambience general', 'positive', 'artsy'], ['NULL', 'ambience general', 'positive', 'interesting']] | none | 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']] ' |
||
generation | acos | [
"definately check it out ! ! !"
] | [['NULL', 'restaurant general', 'positive', 'NULL']] | none | 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']] ' |
||
generation | acos | [
"this place blew me away . . . by far my new favorite restaurant on the uppereast side ."
] | [['place', 'restaurant general', 'positive', 'favorite']] | none | 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']] ' |
||
generation | acos | [
"the wine list is extensive and impressive ."
] | [['wine list', 'drinks style_options', 'positive', 'extensive'], ['wine list', 'drinks style_options', 'positive', 'impressive']] | none | 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']] ' |
||
generation | acos | [
"love the atmosphere - felt like i was in paris ."
] | [['atmosphere', 'ambience general', 'positive', 'love']] | none | 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']] ' |
||
generation | acos | [
"the mussels were fantastic and so was the dessert . . . definitely going to be back very soon ."
] | [['mussels', 'food quality', 'positive', 'fantastic'], ['dessert', 'food quality', 'positive', 'fantastic'], ['NULL', 'restaurant general', 'positive', 'NULL']] | none | 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']] ' |
||
generation | acos | [
"i have been coming here for years and have nothing but good things to say about the service and the great staff at la lanterna ."
] | [['service', 'service general', 'positive', 'good'], ['staff', 'service general', 'positive', 'great']] | none | 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']] ' |
||
generation | acos | [
"over the years the host , vittorio , and his crew , have always treated me as family - - although with all the business this not - so - little gem does , it amazing he ' s even able to remember a consistent but not - so - frequent visitor ."
] | [['host', 'service general', 'positive', 'amazing'], ['crew', 'service general', 'positive', 'amazing']] | none | 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']] ' |
||
generation | acos | [
"i ' ve also been amazed at all the new additions in the past few years : a new jazz bar , the most fantastic dining garden , the best thin crust pizzas , and now a lasagna menu which is to die for ( these are not your average lasagnas ) !"
] | [['dining garden', 'ambience general', 'positive', 'fantastic'], ['jazz bar', 'ambience general', 'positive', 'new'], ['thin crust pizzas', 'food quality', 'positive', 'best'], ['lasagna menu', 'food quality', 'positive', 'die for']] | none | 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']] ' |
||
generation | acos | [
"i love this place !"
] | [['place', 'restaurant general', 'positive', 'love']] | none | 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']] ' |
||
generation | acos | [
"keep up the good work guys !"
] | [['NULL', 'restaurant general', 'positive', 'good']] | none | 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']] ' |
||
generation | acos | [
"i have to say i have never had a disapointing meal here ."
] | [['meal', 'food quality', 'positive', 'never had a disapointing']] | none | 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']] ' |
||
generation | acos | [
"we could have made a meal of the yummy dumplings from the dumpling menu ."
] | [['dumplings', 'food quality', 'positive', 'yummy']] | none | 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']] ' |
||
generation | acos | [
"luckily we saved room for the bbq salmon , sea bass and crispy duck ."
] | [['bbq salmon', 'food quality', 'positive', 'luckily'], ['sea bass', 'food quality', 'positive', 'luckily'], ['crispy duck', 'food quality', 'positive', 'luckily']] | none | 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']] ' |
||
generation | acos | [
"love al di la"
] | [['al di la', 'restaurant general', 'positive', 'love']] | none | 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']] ' |
||
generation | acos | [
"i recommend this place to everyone ."
] | [['place', 'restaurant general', 'positive', 'recommend']] | none | 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']] ' |
||
generation | acos | [
"great food ."
] | [['food', 'food quality', 'positive', 'great']] | none | 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']] ' |
||
generation | acos | [
"one of my favorite places in brooklyn ."
] | [['NULL', 'restaurant general', 'positive', 'favorite']] | none | 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']] ' |
||
generation | acos | [
"the pastas are incredible , the risottos ( particularly the sepia ) are fantastic and the braised rabbit is amazing ."
] | [['pastas', 'food quality', 'positive', 'incredible'], ['risottos', 'food quality', 'positive', 'fantastic'], ['sepia', 'food quality', 'positive', 'fantastic'], ['braised rabbit', 'food quality', 'positive', 'amazing']] | none | 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']] ' |
||
generation | acos | [
"overpriced and not tasty"
] | [['NULL', 'food prices', 'negative', 'overpriced'], ['NULL', 'food quality', 'negative', 'not tasty']] | none | 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']] ' |
||
generation | acos | [
"it was totally overpriced - fish and chips was about $ 15 . . . ."
] | [['NULL', 'food prices', 'negative', 'overpriced'], ['fish and chips', 'food prices', 'negative', 'overpriced']] | none | 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']] ' |
||
generation | acos | [
"tasty dog !"
] | [['dog', 'food quality', 'positive', 'tasty']] | none | 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']] ' |
||
generation | acos | [
"an awesome organic dog , and a conscious eco friendly establishment ."
] | [['dog', 'food quality', 'positive', 'awesome'], ['dog', 'food quality', 'positive', 'organic'], ['establishment', 'restaurant miscellaneous', 'positive', 'eco friendly']] | none | 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']] ' |
||
generation | acos | [
"one of the best hot dogs i have ever eaten ."
] | [['NULL', 'food quality', 'positive', 'best']] | none | 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']] ' |
||
generation | acos | [
"ca n ' t wait to go back ."
] | [['NULL', 'restaurant general', 'positive', 'NULL']] | none | 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']] ' |
||
generation | acos | [
"but the best pork souvlaki i ever had is the main thing ."
] | [['pork souvlaki', 'food quality', 'positive', 'best']] | none | 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']] ' |
||
generation | acos | [
"run do n ' t walk ."
] | [['NULL', 'restaurant general', 'positive', 'NULL']] | none | 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']] ' |
||
generation | acos | [
"super yummy pizza !"
] | [['pizza', 'food quality', 'positive', 'yummy']] | none | 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']] ' |
||
generation | acos | [
"i was visiting new york city with a friend and we discovered this really warm and inviting restaurant ."
] | [['restaurant', 'ambience general', 'positive', 'warm'], ['restaurant', 'ambience general', 'positive', 'inviting']] | none | 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']] ' |
||
generation | acos | [
"i looove their eggplant pizza , as well as their pastas !"
] | [['eggplant pizza', 'food quality', 'positive', 'looove']] | none | 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']] ' |
||
generation | acos | [
"we had half / half pizza , mine was eggplant and my friend had the buffalo and it was sooo huge for a small size pizza !"
] | [['half / half pizza', 'food style_options', 'positive', 'huge']] | none | 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']] ' |
||
generation | acos | [
"we had fun eating in there , we were there like around 3 a . m . in the morning !"
] | [['NULL', 'restaurant general', 'positive', 'fun']] | none | 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']] ' |
||
generation | acos | [
"excellent food , although the interior could use some help ."
] | [['food', 'food quality', 'positive', 'excellent'], ['interior', 'ambience general', 'negative', 'help']] | none | 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']] ' |
||
generation | acos | [
"great sake !"
] | [['sake', 'drinks quality', 'positive', 'great']] | none | 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']] ' |
||
generation | acos | [
"reliable , fresh sushi"
] | [['sushi', 'food quality', 'positive', 'reliable'], ['sushi', 'food quality', 'positive', 'fresh']] | none | 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']] ' |
||
generation | acos | [
"the sashimi is always fresh and the rolls are innovative and delicious ."
] | [['sashimi', 'food quality', 'positive', 'fresh'], ['rolls', 'food style_options', 'positive', 'innovative'], ['rolls', 'food quality', 'positive', 'delicious']] | none | 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']] ' |
||
generation | acos | [
"have never had a problem with service save a missing rice once ."
] | [['service', 'service general', 'positive', 'problem']] | none | 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']] ' |
||
generation | acos | [
"delivery can be spot on or lacking depending on the weather and the day of the week ."
] | [['delivery', 'service general', 'negative', 'lacking']] | none | 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']] ' |
||
generation | acos | [
"delivery guy sometimes get upset if you do n ' t tip more than 10 % ."
] | [['delivery guy', 'service general', 'negative', 'upset']] | none | 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']] ' |
||
generation | acos | [
"best . sushi . ever ."
] | [['sushi', 'food quality', 'positive', 'best']] | none | 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']] ' |
||
generation | acos | [
"this place has ruined me for neighborhood sushi ."
] | [['sushi', 'food quality', 'positive', 'ruined']] | none | 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']] ' |
||
generation | acos | [
"creative , consistent , fresh ."
] | [['NULL', 'food quality', 'positive', 'fresh'], ['NULL', 'food style_options', 'positive', 'creative'], ['NULL', 'food style_options', 'positive', 'consistent']] | none | 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']] ' |
||
generation | acos | [
"excellent sashimi , and the millennium roll is beyond delicious ."
] | [['sashimi', 'food quality', 'positive', 'excellent'], ['millennium roll', 'food quality', 'positive', 'delicious']] | none | 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']] ' |
||
generation | acos | [
"not cheap but very yummy ."
] | [['NULL', 'food prices', 'negative', 'not cheap'], ['NULL', 'food quality', 'positive', 'yummy']] | none | 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']] ' |
||
generation | acos | [
"very , very nice"
] | [['NULL', 'restaurant general', 'positive', 'nice']] | none | 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']] ' |
||
generation | acos | [
"not only is the food"
] | [['NULL', 'restaurant general', 'positive', 'NULL'], ['food', 'food quality', 'positive', 'NULL']] | none | 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']] ' |
||
generation | acos | [
"loved it"
] | [['NULL', 'restaurant general', 'positive', 'loved']] | none | 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']] ' |
||
generation | acos | [
"we had a very nice time ."
] | [['NULL', 'restaurant general', 'positive', 'nice']] | none | 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']] ' |
||
generation | acos | [
"the waiter was attentive , the food was delicious and the views of the city were great ."
] | [['waiter', 'service general', 'positive', 'attentive'], ['food', 'food quality', 'positive', 'delicious'], ['views of the city', 'location general', 'positive', 'great']] | none | 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']] ' |
||
generation | acos | [
"i ' d definitely go back again ."
] | [['NULL', 'restaurant general', 'positive', 'NULL']] | none | 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']] ' |
||
generation | acos | [
"great place to relax and enjoy your dinner"
] | [['place', 'ambience general', 'positive', 'great']] | none | 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']] ' |
||
generation | acos | [
"there is something about their atmosphere that makes me come back nearly every week ."
] | [['atmosphere', 'ambience general', 'positive', 'NULL']] | none | 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']] ' |
||
generation | acos | [
"place is open till late , no dress code ."
] | [['place', 'restaurant miscellaneous', 'positive', 'NULL']] | none | 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']] ' |
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generation | acos | [
"good food : my favorite is the seafood spaghetti ."
] | [['food', 'food quality', 'positive', 'good'], ['seafood spaghetti', 'food quality', 'positive', 'favorite']] | none | 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']] ' |
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generation | acos | [
"excellent food for great prices"
] | [['food', 'food quality', 'positive', 'excellent'], ['food', 'food prices', 'positive', 'great']] | none | 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']] ' |
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generation | acos | [
"my husband and i have been sold on this from the first visit ."
] | [['NULL', 'restaurant general', 'positive', 'NULL']] | none | 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']] ' |
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generation | acos | [
"the wait staff is very courteous and accomodating ."
] | [['wait staff', 'service general', 'positive', 'courteous'], ['wait staff', 'service general', 'positive', 'accomodating']] | none | 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']] ' |
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generation | acos | [
"the space is limited so be prepared to wait up to 45 minutes - 1 hour , but be richly rewarded when you savor the delicious indo - chinese food ."
] | [['space', 'ambience general', 'negative', 'limited'], ['indo - chinese food', 'food quality', 'positive', 'delicious']] | none | 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']] ' |
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generation | acos | [
"there are no negatives to speak of ."
] | [['NULL', 'restaurant general', 'positive', 'no negatives']] | none | 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']] ' |
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generation | acos | [
"the bestt !"
] | [['NULL', 'restaurant general', 'positive', 'bestt']] | none | 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']] ' |
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generation | acos | [
"my favorite place lol"
] | [['place', 'restaurant general', 'positive', 'favorite']] | none | 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']] ' |
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generation | acos | [
"its alright"
] | [['NULL', 'restaurant general', 'neutral', 'alright']] | none | 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']] ' |
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generation | acos | [
"im not necessarily fanatical about this place , but it was a fun time for low pirces ."
] | [['place', 'restaurant general', 'positive', 'fanatical'], ['place', 'restaurant prices', 'positive', 'low']] | none | 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']] ' |
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generation | acos | [
"lobster was good , nothing spectacular ."
] | [['lobster', 'food quality', 'neutral', 'good'], ['lobster', 'food quality', 'neutral', 'nothing spectacular']] | none | 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']] ' |
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generation | acos | [
"its just a fun place to go , not a five star restaraunt ."
] | [['restaraunt', 'restaurant general', 'neutral', 'five star']] | none | 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']] ' |
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generation | acos | [
"had no flavor and the staff is rude and not attentive ."
] | [['staff', 'service general', 'negative', 'rude'], ['staff', 'service general', 'negative', 'not attentive'], ['NULL', 'food quality', 'negative', 'no flavor']] | none | 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']] ' |
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generation | acos | [
"would never go back"
] | [['NULL', 'restaurant general', 'negative', 'NULL']] | none | 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']] ' |
Subsets and Splits