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generation | semeval-2015 | [
"This computer is absolutely AMAZING!!!"
] | [['laptop general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"10 plus hours of battery..."
] | [['battery operation_performance', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"super fast processor and really nice graphics card.."
] | [['cpu operation_performance', 'positive'], ['graphics general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"and plenty of storage with 250 gb(though I will upgrade this and the ram..)"
] | [['hard_disc design_features', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"This computer is really fast and I'm shocked as to how easy it is to get used to..."
] | [['laptop operation_performance', 'positive'], ['laptop usability', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"I've only had mine a day but I'm already used to it..."
] | [['laptop usability', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"GET THIS COMPUTER FOR PORTABILITY AND FAST PROCESSING!!!"
] | [['laptop portability', 'positive'], ['cpu operation_performance', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"the laptop was really good and it goes really fast just the way i thought it would of run."
] | [['laptop general', 'positive'], ['laptop operation_performance', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"i would really recommend to any person out there to get this laptop cause its really worth it."
] | [['laptop general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"and its really cheap and you wont regret buying it."
] | [['laptop price', 'positive'], ['laptop general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"As a computer science student in college, I find that the portability, longevity, and ease of use of this computer make me (shockingly) want to do homework more;"
] | [['laptop portability', 'positive'], ['laptop quality', 'positive'], ['laptop usability', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"without a big ol' clunky machine in my backpack, I feel like I can do programming homework anywhere."
] | [['laptop design_features', 'positive'], ['laptop portability', 'positive'], ['laptop miscellaneous', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"I highly recommend this computer for students looking for a solid machine to get them through college."
] | [['laptop miscellaneous', 'positive'], ['laptop quality', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"A great feature is the spotlight search: one can search for documents by simply typing a keyword, rather than parsing tens of file folders for a document."
] | [['os design_features', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"Oh my goodness-I am not a happy camper."
] | [['laptop general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"My HP is very heavy."
] | [['laptop design_features', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"Not easy to carry."
] | [['laptop portability', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"The battery has never worked well."
] | [['battery quality', 'negative'], ['battery operation_performance', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"The battery gets so HOT it is scary."
] | [['battery quality', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"Yet, HP won't do anything about the problem."
] | [['support quality', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"I returned the computer to HP and they kept it for 3 months."
] | [['support quality', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"When I got the computer back and realizwed it still was not correct HP told me it was out of warranty and now it was my problem."
] | [['support quality', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"So, you can imagine how unhappy I am with this item."
] | [['laptop general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"Currently if I use the laptop I can't sit it on my lap because it will burn my legs."
] | [['laptop quality', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"Well, they don't care a bunch."
] | [['support quality', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"But, at the same time they (the company) would not and could not do anything about my problem."
] | [['support quality', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"I would say if you want to buy one of these machines be careful."
] | [['laptop general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"And, if you are going to deal with HP be careful."
] | [['company general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"In my house, HP is a nasty word."
] | [['company general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"Since I purchased my Toshiba netbook, I have been very pleased with it, I have a laptob and a desktop."
] | [['laptop general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"The netbook is easier for me to take to bed and carry around with me."
] | [['laptop portability', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"The screen takes some getting use to, because it is smaller than the laptop."
] | [['display usability', 'neutral'], ['display design_features', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"I have not have any problems."
] | [['laptop general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"The Notebook PC,Toshiba Qosmio is the best gift my father could have ever gotten me."
] | [['laptop general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"He gave me this PC about 3 years ago and up to this point im still sitting here using it."
] | [['laptop quality', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"Its still going."
] | [['laptop quality', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"It is in the best condition and has a really high quality."
] | [['laptop quality', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"This is something i would deffinately reccomend to someone."
] | [['laptop general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"You will not regret buying such a great thing like this!"
] | [['laptop general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"It can't get any better."
] | [['laptop general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"Waited on getting this computer, but it has been a great change."
] | [['laptop general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"Ease of use is just one of the benefits I love about my Mac."
] | [['laptop usability', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"This laptop meets every expectation and Windows 7 is great!"
] | [['laptop general', 'positive'], ['os general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"It's fast, it's easy easy easy to set up, easy to hook to my wireless network."
] | [['laptop operation_performance', 'positive'], ['laptop usability', 'positive'], ['laptop connectivity', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"It's even easy to hook up to other wireless networks."
] | [['laptop connectivity', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"The battery doesn't last long but I'm sure an upgrade battery would solve that problem."
] | [['battery operation_performance', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"I don't use my laptop in a way though that needs a long battery life so it's perfect for me."
] | [['battery operation_performance', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"Most everything is fine with this machine: speed, capacity, build."
] | [['laptop general', 'positive'], ['laptop operation_performance', 'positive'], ['hard_disc design_features', 'positive'], ['laptop quality', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"The only thing I don't understand is that the resolution of the screen isn't high enough for some pages, such as Yahoo!Mail."
] | [['display quality', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"I bought it for really cheap also and it's AMAZING."
] | [['laptop price', 'positive'], ['laptop general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"Recommended to people as their first laptop."
] | [['laptop miscellaneous', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"Plain and simple, it(laptop) runs great and loads fast."
] | [['laptop operation_performance', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"Easy to carry, can be taken anywhere, can be hooked up to printers,headsets."
] | [['laptop portability', 'positive'], ['laptop connectivity', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"I'm already hooked on the sleek look and dependability that this laptop has shown."
] | [['laptop design_features', 'positive'], ['laptop quality', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"Being a PC user my whole life, it's taking a bit of time to adapt to the OS of a Mac but I'm finding my way around."
] | [['os usability', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"The unibody design is edgy and durable."
] | [['laptop design_features', 'positive'], ['laptop quality', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"The LED backlit display makes my pictures pop so much more."
] | [['display design_features', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"I'm learning the finger options for the mousepad that allow for quicker browsing of web pages."
] | [['mouse design_features', 'positive'], ['laptop usability', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"A key contributor that led me to Mac is the art aspect."
] | [['laptop design_features', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"They have developed excellent proprietary software for editing video and pictures and I'm looking forward to utilizing these tools on the regular."
] | [['software miscellaneous', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"I'm excited to learn more about what this powerful machine has to offer and encourage others to do the same."
] | [['laptop general', 'positive'], ['laptop operation_performance', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"It's more expensive but well worth it in the long run."
] | [['laptop price', 'negative'], ['laptop general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"Great product, very easy to use and great graphics."
] | [['laptop general', 'positive'], ['laptop usability', 'positive'], ['graphics general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"One drawback, I wish the keys were backlit."
] | [['keyboard design_features', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"I'm glad I bought this laptop, it was worth the few ($100) extra dollars."
] | [['laptop general', 'positive'], ['laptop price', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"It had most of the features and all of the power that I wanted to replace my desktop machine."
] | [['laptop design_features', 'positive'], ['laptop operation_performance', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"I wasn't really as concerned about portability (it's a very large laptop) but it's not hard to move around or take on a trip which was a pleasant surprise."
] | [['laptop design_features', 'neutral'], ['laptop portability', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"I'm very happy with this machine!"
] | [['laptop general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"I love the size, keyboard, the functions."
] | [['laptop design_features', 'positive'], ['keyboard general', 'positive'], ['laptop operation_performance', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"I don't really have a complaint."
] | [['laptop general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"It is easy to use, good quality and good price."
] | [['laptop usability', 'positive'], ['laptop quality', 'positive'], ['laptop price', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"Perfect trifecta!"
] | [['laptop general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"I would recommend this product."
] | [['laptop general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"The salesman talked us into this computer away from another we were looking at and we have had nothing but problems with software problems and just not happy with it."
] | [['software general', 'negative'], ['laptop general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"This is my first Dell I heard their customer service was lacking and that they were working on improving it!"
] | [['support quality', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"The DVD burner broke after burning 3 DVD'd during that time!"
] | [['optical_drives quality', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"They sent me a replacement part and without informing me are requiring that I return it within 15 days or contact them and let them know the broken part will be returned later."
] | [['support quality', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"If this is an improvement in Customer Service then I would hate too see what it was before!"
] | [['support quality', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"I spoke to 4 different people and was told they needed to transfer me to a 5th person!"
] | [['support quality', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"Needless to say I told them No and have a nice day and hung up!"
] | [['support quality', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"I can guarantee this will be the last Dell I will ever purchase!"
] | [['laptop general', 'negative'], ['company general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"Breaking within 1 year of purchase and speaking to 4+ people to report the damaged part will be returned late!"
] | [['laptop quality', 'negative'], ['support quality', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"I do not recommend this company or their products!!!!"
] | [['company general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"So far, a great product."
] | [['laptop general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"High price tag, however."
] | [['laptop price', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"Still trying to learn how to use it."
] | [['laptop usability', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"it is the worst computer dell ever made."
] | [['laptop general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"it is hard to fix and makes it a hassle to own one."
] | [['laptop quality', 'negative'], ['laptop general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"breaks easily."
] | [['laptop quality', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"only good thing is the graphics quality."
] | [['graphics quality', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"There are so many wonderful features and benefits to the new MacBook!"
] | [['laptop design_features', 'positive'], ['laptop general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"No Viruses!"
] | [['laptop quality', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"This laptop is fast and you will literally learn all you can do with this dynamo by just watching the online tutorials."
] | [['laptop operation_performance', 'positive'], ['laptop usability', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"I am loyal to Apple."
] | [['company general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"I am very Happy!"
] | [['laptop general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"This just keeps having it's hard drive replaced!"
] | [['hard_disc quality', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"Acer won't replace the laptop."
] | [['support quality', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"the manufacturer's warranty only covers replacement/repair of parts."
] | [['warranty general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"This thing is a lemon."
] | [['laptop quality', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
||
generation | semeval-2015 | [
"This MacBook is an outstanding product with great value."
] | [['laptop general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "They gave me a hard time yet again, but their was a malfunction in the battery itself, it didn't die." Output: [['battery operation_performance', 'negative'], ['support quality', 'negative']] |
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上述数据集为ABSA(Aspect-Based Sentiment Analysis)领域数据集，基本形式为从句子中抽取：方面术语、方面类别(术语类别)、术语在上下文中情感极性以及针对该术语的观点词，不同数据集抽取不同的信息，这点在jsonl文件的“instruction”键中有分别提到，在此我将其改造为了生成任务，需要模型按照一定格式生成抽取结果。
补充：SemEval-2015数据集文件夹中有两个文件夹"laptop"和"restaurant"，其实根据数据集文本的主要围绕主题区分的。抽取的元素方面，laptop和restaurant两文件夹中，数据的抽取元素也不同，laptop抽取的是方面类别和情感极性的二元组，restaurant抽取的是方面术语、方面类别和情感极性的三元组
以acos数据集中抽取的jsonl文件一条数据举例：
{
"task_type": "generation",
"dataset": "acos",
"input": ["the computer has difficulty switching between tablet and computer ."],
"output": "[['computer', 'laptop usability', 'negative', 'difficulty']]",
"situation": "none",
"label": "",
"extra": "",
"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']]'
"
}
此处未设置label和extra，在instruction中以如上所示的字符串模板，并给出一个例子进行one-shot，ABSA领域数据集(absa-quad,acos,arts,aste-data-v2,mams,semeval-2014,semeval-2015,semeval-2016,towe)每个数据集对应instruction模板相同，内容有细微不同，且部分数据集存在同一数据集不同数据instruction内容不同的情况。
原始数据集
- 数据链接
- Paper：SemEval-2015 Task 12: Aspect Based Sentiment Analysis
- 说明：数据分为Laptop和restaurant两个主题的数据，分别在两个文件夹中放置。两个主题的数据抽取的元素不同。
当前SOTA
数据来自PaperWithCode
SemEval2015-Laptop 未调研到该部分数据的评测
-
- 评价指标：Accuracy(抽取的分类准确率)
- 模型：HAABSA++ (81.7)
- Paper：A Hybrid Approach for Aspect-Based Sentiment Analysis Using Deep Contextual Word Embeddings and Hierarchical Attention
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