Datasets:
NEUDM
/
towe

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generation
towe
[ "I can not be happier with the service or product ." ]
['service', ['can']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "I do transcription work on the side , and the flatline keyboard makes typing quick and easy as well ." ]
['flatline', ['quick', 'easy']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "Speakers does n't sound that great ." ]
['Speakers', ['does']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "I love windows 7 but i ca n't give Toshiba any credit for that , unless y'all get serious about ergonomics and making required connections less obtrusive i will be looking to different manufacturer next time ." ]
['windows', ['love']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "I love windows 7 but i ca n't give Toshiba any credit for that , unless y'all get serious about ergonomics and making required connections less obtrusive i will be looking to different manufacturer next time ." ]
['ergonomics', ['serious']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "I love windows 7 but i ca n't give Toshiba any credit for that , unless y'all get serious about ergonomics and making required connections less obtrusive i will be looking to different manufacturer next time ." ]
['connections', ['less']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "The `` abuse '' is that I pushed the power plug in too hard ." ]
['power', ['too']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "The resolution on the screen is almost pure HD ." ]
['resolution', ['pure']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "Not sure how I recommend it for quality gaming , as I have a desktop rig for that reason ." ]
['gaming', ['quality']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "Great value , fast delivery -- Computer works as if brand new , no problems , very pleased" ]
['delivery', ['fast', 'pleased']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "Great value , fast delivery -- Computer works as if brand new , no problems , very pleased" ]
['value', ['Great', 'pleased']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "The Internet Explorer was very slow from the very beginning ." ]
['Internet', ['slow']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "The AC power port becomes loose over time" ]
['AC', ['loose']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "As a user of a PC , I will will admit that the macBook Pro has a better running system in which I found myself `` Getting the job done quicker ." ]
['running', ['better']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "There are no gold key numbers too intall programs , you must use the serial numbers that it does not accept and then things are limited as far a working because they are only good for a short time ." ]
['programs', ['limited']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "and they replaced the awesome ergonomic small lightweight power supply with a power supply that weighed more than the machine itself ." ]
['power', ['lightweight']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "and they replaced the awesome ergonomic small lightweight power supply with a power supply that weighed more than the machine itself ." ]
['power', ['weighed']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "Enjoy that Toshib force and durability unparalleled" ]
['force', ['Enjoy']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "Enjoy that Toshib force and durability unparalleled" ]
['durability', ['Enjoy', 'unparalleled']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "Which is great I am running Vista Business and scored a 5.X on the index I have never seen a windows machine have a total score in the 5 's ." ]
['Vista', ['great']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "We love the size of the screen , although it is still lightweight and very easy to tote around ." ]
['size', ['love']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "We love the size of the screen , although it is still lightweight and very easy to tote around ." ]
['tote', ['easy']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "so the fact that the computer does not work on the 24 twenty fourth day is my fault ." ]
['work', ['does']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "I would definitely reccomend this if you are in the market for an ease to use , stylish , fun , awesome computer ." ]
['use', ['ease']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "the battery is irreplaceable ." ]
['battery', ['irreplaceable']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "I have never really been big on downloading anything so I was n't too worried about getting a virus , plus I thought I was protected by Norton ." ]
['Norton', ['protected']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "The internet was locekd and froze every time it was trying to be used , and the command prompt would not work at all ." ]
['internet', ['locekd', 'froze']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "The internet was locekd and froze every time it was trying to be used , and the command prompt would not work at all ." ]
['command', ['not']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "It 's software and speed enable it to do amazing things ." ]
['software', ['amazing']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "It 's software and speed enable it to do amazing things ." ]
['speed', ['amazing']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "Could not keep up with me and finally the hard drive went out ." ]
['hard', ['went']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "I am most impressed with the programming , including the iPhoto ." ]
['programming', ['impressed']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "I am most impressed with the programming , including the iPhoto ." ]
['iPhoto', ['impressed']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "Speakers too small to be of any real use ." ]
['Speakers', ['too']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "I upgraded it 's RAM to 2GB , I am very happy with it ." ]
['RAM', ['upgraded', 'happy']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "They should have included more memory on their computers if they knew Vista would run slowly ." ]
['memory', ['more']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "They should have included more memory on their computers if they knew Vista would run slowly ." ]
['Vista', ['slowly']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "Battery life could be better but overall for the price and Toshiba 's reputation for laptops it 's great !" ]
['Battery', ['could']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "Battery life could be better but overall for the price and Toshiba 's reputation for laptops it 's great !" ]
['price', ['great']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "The battery never held a charge longer than one hour and within two months , stopped holding a charge for more than ten minutes ." ]
['battery', ['never']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "The battery never held a charge longer than one hour and within two months , stopped holding a charge for more than ten minutes ." ]
['charge', ['longer']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "The battery never held a charge longer than one hour and within two months , stopped holding a charge for more than ten minutes ." ]
['charge', ['stopped']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "After the warrenty expired the hard drive went bad and it would have cost more to fix then to replace ." ]
['hard', ['bad']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "The Windows 7 Starter is , in my opinion , a great way to think about using your netbook : basics , basics , basics ." ]
['Windows', ['great']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "The neat and organized icon list is a welcome change from cluttered and confusing desktop icons ." ]
['icon', ['neat', 'organized', 'welcome']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "The neat and organized icon list is a welcome change from cluttered and confusing desktop icons ." ]
['desktop', ['cluttered', 'confusing']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "Apparently well -- built and gorgeous to look at , the i5 MacBook Pro is a winning combination of price and performance ." ]
['price', ['winning']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "Apparently well -- built and gorgeous to look at , the i5 MacBook Pro is a winning combination of price and performance ." ]
['performance', ['winning']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "Apparently well -- built and gorgeous to look at , the i5 MacBook Pro is a winning combination of price and performance ." ]
['built', ['well']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "Apparently well -- built and gorgeous to look at , the i5 MacBook Pro is a winning combination of price and performance ." ]
['look', ['gorgeous']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "The apple care has never failed me , and I expect it to be the same for this computer as well ." ]
['apple', ['never']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "The Toshiba laptop I am using is easier to use than most I have tried ." ]
['use', ['easier']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "So we exchanged it for the same on and after 2 hours it did n't work ." ]
['work', ['did']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "I love the size , keyboard , the functions ." ]
['size', ['love']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "I love the size , keyboard , the functions ." ]
['keyboard', ['love']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "I love the size , keyboard , the functions ." ]
['functions', ['love']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "the mouse is way way way too sensitive ." ]
['mouse', ['too']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "The OS is still as fast as the day that the laptop was purchased and continues to run flawlessly ." ]
['OS', ['fast']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "The OS is still as fast as the day that the laptop was purchased and continues to run flawlessly ." ]
['run', ['flawlessly']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "Also , I issued a replacement RMA for a few dead pixels in the upper zone of the screen , which is noticable to me ." ]
['screen', ['noticable']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "After way too many times sending the thing in for repairs ( delivery service was slow , and without the laptop I had no access to the internet , and thus no way of tracking it to find out when I might hope to see my computer again ) , it finally kicked the bucket after just over 2 years ." ]
['delivery', ['slow']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "My friend reports the notebook is astonishing in performance , picture quality , and ease of use ." ]
['performance', ['astonishing']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "My friend reports the notebook is astonishing in performance , picture quality , and ease of use ." ]
['picture', ['astonishing']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "My friend reports the notebook is astonishing in performance , picture quality , and ease of use ." ]
['use', ['ease']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "the i3 processor does n't seem to run hot and the fan rarely turns on ." ]
['i3', ['does']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "the i3 processor does n't seem to run hot and the fan rarely turns on ." ]
['fan', ['rarely']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "See when it comes to laptops you buy it and get just a normal operating system with trials of must need stuff that should come with it ." ]
['operating', ['normal']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "The only thing I do n't understand is that the resolution of the screen is n't high enough for some pages , such as Yahoo ! Mail ." ]
['resolution', ['is']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "The only thing I wish this had was the option to turn off the touchpad with a button like my big 16 '' laptop does ." ]
['touchpad', ['turn']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "very convenient when you travel and the battery life is excellent ..." ]
['battery', ['excellent']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "The machine is slow to boot up and occasionally crashes completely ." ]
['boot', ['slow', 'crashes']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "the screen brightness automatically adjusts ." ]
['screen', ['automatically']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "I especially like the backlit keyboard ." ]
['backlit', ['like']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "Besides the great look , it is a great machine ." ]
['look', ['great']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "The sound is a bit quiet if you 're on a plane , this can easily be overcome with a decent pair of head phones ." ]
['sound', ['quiet']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "The buttons you have to press a little harder than most ." ]
['buttons', ['harder']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "Right size and weight for portability ." ]
['size', ['Right']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "Right size and weight for portability ." ]
['weight', ['Right']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "Right size and weight for portability ." ]
['portability', ['Right']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "The battery life also does n't keep up with the claim but still I think macbook is much ahead from the rest of the pack ." ]
['battery', ['does', 'much']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "The reflectiveness of the display is only a minor inconvenience if you work in a controlled-lighting environment like me ( I prefer it dark ) or if you can crank up the brightness ." ]
['display', ['minor']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "The reflectiveness of the display is only a minor inconvenience if you work in a controlled-lighting environment like me ( I prefer it dark ) or if you can crank up the brightness ." ]
['brightness', ['crank']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "My one complaint with this laptop is that I 've noticed an electronic fuzz sound coming out of the headphone jack when headphones are plugged in ." ]
['electronic', ['complaint']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "My one complaint with this laptop is that I 've noticed an electronic fuzz sound coming out of the headphone jack when headphones are plugged in ." ]
['headphone', ['complaint']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "While it was highly rated , would I like it ? I tried the keyboard at the store , and it seemed ok ." ]
['keyboard', ['ok']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "Treat yourself to a more expensive , long-lasting laptop of quality like a Sony , Apple , or Toshiba ." ]
['quality', ['long-lasting']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "But to be honest , I do n't use my computer for anything like graphics editing and complex data analysis and gaming ." ]
['gaming', ['do']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "But to be honest , I do n't use my computer for anything like graphics editing and complex data analysis and gaming ." ]
['graphics', ['do']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "But to be honest , I do n't use my computer for anything like graphics editing and complex data analysis and gaming ." ]
['complex', ['do']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "( No problem with the ordering or shipping by the way ." ]
['shipping', ['No']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "And the ram ( the thing that makes it faster ) comes sporting 2 gigs for high performance to handle more stuff at once and surf the web a whole lot faster than before ." ]
['ram', ['faster']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "And the ram ( the thing that makes it faster ) comes sporting 2 gigs for high performance to handle more stuff at once and surf the web a whole lot faster than before ." ]
['performance', ['high']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "And the ram ( the thing that makes it faster ) comes sporting 2 gigs for high performance to handle more stuff at once and surf the web a whole lot faster than before ." ]
['surf', ['faster']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "The one thing I wish it had was a detailed hardcopy manuel ." ]
['hardcopy', ['wish', 'detailed']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "I edit and burn to DVD a lot of video , so I obviously could not live with a non-functioning drive ." ]
['drive', ['could', 'non-functioning']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "Fast , great visual !" ]
['visual', ['Fast', 'great']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "It 's priced very reasonable and works very well right out of the box ." ]
['priced', ['reasonable']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "It 's priced very reasonable and works very well right out of the box ." ]
['works', ['well']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "while the keyboard itself is alright , the plate around it is cheap plastic and makes a hollow sound when using the mouse command buttons ." ]
['keyboard', ['alright']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation
towe
[ "while the keyboard itself is alright , the plate around it is cheap plastic and makes a hollow sound when using the mouse command buttons ." ]
['plate', ['cheap']]
none
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]