Input: Boot time is super fast , around anywhere from 35 seconds to 1 minute .

Output: [['Boot time', 'fast', 'positive']]

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


Input: tech support would not fix the problem unless I bought your plan for $ 150 plus .

Output: [['tech support', 'not fix', 'negative']]

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


Input: Set up was easy .

Output: [['Set up', 'easy', 'positive']]

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


Input: Did not enjoy the new Windows 8 and touchscreen functions .

Output: [['Windows 8', 'not enjoy', 'negative'], ['touchscreen functions', 'not enjoy', 'negative']]

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


Input: Other than not being a fan of click pads ( industry standard these days ) and the lousy internal speakers , it 's hard for me to find things about this notebook I do n't like , especially considering the $ 350 price tag .

Output: [['internal speakers', 'lousy', 'negative']]

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


Input: It 's fast , light , and simple to use .

Output: [['use', 'fast', 'positive'], ['use', 'light', 'positive'], ['use', 'simple', 'positive']]

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


Input: Works well , and I am extremely happy to be back to an apple OS .

Output: [['Works', 'well', 'positive'], ['apple OS', 'happy', 'positive']]

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


Input: Sure it 's not light and slim but the features make up for it 100 % .

Output: [['features', 'not light and slim', 'positive']]

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


Input: I am pleased with the fast log on , speedy WiFi connection and the long battery life ( > 6 hrs ) .

Output: [['log on', 'pleased', 'positive'], ['log on', 'fast', 'positive'], ['WiFi connection', 'pleased', 'positive'], ['WiFi connection', 'speedy', 'positive'], ['battery life', 'pleased', 'positive'], ['battery life', 'long', 'positive']]

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


Input: The Apple engineers have not yet discovered the delete key .

Output: [['delete key', 'not yet discovered', 'negative']]

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


Input: Made interneting ( part of my business ) very difficult to maintain .

Output: [['interneting', 'difficult', 'negative']]

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


Input: Luckily , for all of us contemplating the decision , the Mac Mini is priced just right .

Output: [['priced', 'right', 'positive']]

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


Input: Only problem that I had was that the track pad was not very good for me , I only had a problem once or twice with it , But probably my computer was a bit defective .

Output: [['track pad', 'not very good', 'negative']]

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


Input: It is super fast and has outstanding graphics .

Output: [['graphics', 'outstanding', 'positive']]

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


Input: But the mountain lion is just too slow .

Output: [['mountain lion', 'slow', 'negative']]

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


Input: Strong build though which really adds to its durability .

Output: [['durability', 'Strong', 'positive'], ['build', 'Strong', 'positive']]

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


Input: The battery life is excellent -- 6-7 hours without charging .

Output: [['battery life', 'excellent', 'positive']]

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


Input: I 've had my computer for 2 weeks already and it works perfectly .

Output: [['works', 'perfectly', 'positive']]

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


Input: And I may be the only one but I am really liking Windows 8 .

Output: [['Windows 8', 'liking', 'positive']]

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


Input: The baterry is very longer .

Output: [['baterry', 'longer', 'positive']]

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


Input: Its size is ideal and the weight is acceptable .

Output: [['size', 'ideal', 'positive'], ['weight', 'acceptable', 'positive']]

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


Input: I can say that I am fully satisfied with the performance that the computer has supplied .

Output: [['performance', 'satisfied', 'positive']]

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


Input: It has so much more speed and the screen is very sharp .

Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']]

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


Input: Everything I wanted and everything I needed and the price was great !

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

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


Input: It 's not inexpensive but the Hardware performance is impressive for a computer this small .

Output: [['Hardware performance', 'impressive', 'positive']]

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


Input: This thing is awesome , everything always works , everything is always easy to set up , everything is compatible , its literally everything I could ask for .

Output: [['works', 'always', 'positive'], ['set up', 'easy', 'positive']]

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


Input: Keyboard responds well to presses .

Output: [['Keyboard', 'responds well', 'positive']]

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


Input: Lastly , Windows 8 is annoying .

Output: [['Windows 8', 'annoying', 'negative']]

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


Input: Everything is so easy and intuitive to setup or configure .

Output: [['setup', 'easy', 'positive'], ['setup', 'intuitive', 'positive'], ['configure', 'easy', 'positive'], ['configure', 'intuitive', 'positive']]

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


Input: Biggest complaint is Windows 8 .

Output: [['Windows 8', 'complaint', 'negative']]

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


Input: Only 2 usb ports ... seems kind of ... limited .

Output: [['usb ports', 'limited', 'negative']]

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


Input: It has all the expected features and more +plus a wide screen and more than roomy keyboard .

Output: [['features', 'expected', 'positive'], ['screen', 'wide', 'positive'], ['keyboard', 'roomy', 'positive']]

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


Input: Amazing Performance for anything I throw at it .

Output: [['Performance', 'Amazing', 'positive']]

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


Input: The receiver was full of superlatives for the quality and performance .

Output: [['quality', 'superlatives', 'positive'], ['performance', 'superlatives', 'positive']]

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


Input: I was extremely happy with the OS itself .

Output: [['OS', 'happy', 'positive']]

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


Input: The new MBP offers great portability and gives us confidence that we are not going to need to purchase a new laptop in 18 months .

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

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


Input: The criticism has waned , and now I 'd be the first to recommend an Air for truly portable computing .

Output: [['portable computing', 'recommend', 'positive'], ['portable computing', 'truly', 'positive']]

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


Input: MS Office 2011 for Mac is wonderful , well worth it .

Output: [['MS Office 2011 for Mac', 'wonderful', 'positive'], ['MS Office 2011 for Mac', 'well worth', 'positive']]

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


Input: But the performance of Mac Mini is a huge disappointment .

Output: [['performance', 'disappointment', 'negative']]

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


Input: They do n't just look good ; they deliver excellent performance .

Output: [['look', 'good', 'positive'], ['performance', 'excellent', 'positive']]

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


Input: I have had it over a year now with out a Glitch of any kind..I love the lit up keys and screen display ... this thing is Fast and clear as can be .

Output: [['lit up keys', 'love', 'positive'], ['lit up keys', 'Fast', 'positive'], ['lit up keys', 'clear', 'positive'], ['screen display', 'love', 'positive'], ['screen display', 'Fast', 'positive'], ['screen display', 'clear', 'positive']]

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


Input: The Mountain Lion OS is not hard to figure out if you are familiar with Microsoft Windows .

Output: [['Mountain Lion OS', 'not hard', 'positive'], ['Microsoft Windows', 'familiar', 'neutral']]

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


Input: However , I can refute that OSX is `` FAST '' .

Output: [['OSX', 'FAST', 'negative']]

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


Input: Enjoy using Microsoft Office !

Output: [['Microsoft Office', 'Enjoy', 'positive']]

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


Input: Incredible graphics and brilliant colors .

Output: [['graphics', 'Incredible', 'positive'], ['colors', 'brilliant', 'positive']]

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


Input: Built-in apps are purely amazing .

Output: [['Built-in apps', 'amazing', 'positive']]

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


Input: From the speed to the multi touch gestures this operating system beats Windows easily .

Output: [['operating system', 'beats', 'positive']]

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


Input: I really like the size and I 'm a fan of the ACERS .

Output: [['size', 'like', 'positive']]

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


Input: I opted for the SquareTrade 3-Year Computer Accidental Protection Warranty ( $ 1500-2000 ) which also support `` accidents '' like drops and spills that are NOT covered by AppleCare .

Output: [['SquareTrade 3-Year Computer Accidental Protection Warranty', 'support', 'positive'], ['AppleCare', 'NOT covered', 'negative']]

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


Input: It 's light and easy to transport .

Output: [['transport', 'light', 'positive'], ['transport', 'easy', 'positive']]

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


Input: Once you get past learning how to use the poorly designed Windows 8 Set-Up you may feel frustrated .

Output: [['Windows 8 Set-Up', 'poorly designed', 'negative'], ['Windows 8 Set-Up', 'frustrated', 'negative']]

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


Input: The aluminum body sure makes it stand out .

Output: [['aluminum body', 'stand out', 'positive']]

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


Input: It is very easy to integrate bluetooth devices , and USB devices are recognized almost instantly .

Output: [['integrate bluetooth devices', 'easy', 'positive'], ['USB devices', 'instantly', 'positive']]

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


Input: And the fact that Apple is driving the 13 '' RMBP with the Intel4000 graphic chip seems underpowered ( to me .

Output: [['Intel4000 graphic chip', 'underpowered', 'negative']]

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


Input: Apple removed the DVD drive Firewire port ( will work with adapter ) and put the SDXC slot in a silly position on the back .

Output: [['DVD drive Firewire port', 'removed', 'neutral'], ['SDXC slot', 'silly', 'negative']]

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


Input: The durability of the laptop will make it worth the money .

Output: [['durability', 'worth', 'positive']]

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


Input: Well designed and fast .

Output: [['designed', 'Well', 'positive']]

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


Input: But I was completely wrong , this computer is UNBELIEVABLE amazing and easy to use .

Output: [['use', 'easy', 'positive']]

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


Input: Exactly as posted plus a great value .

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

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


Input: The specs are pretty good too .

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

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


Input: Apple is unmatched in product quality , aesthetics , craftmanship , and customer service .

Output: [['product quality', 'unmatched', 'positive'], ['aesthetics', 'unmatched', 'positive'], ['craftmanship', 'unmatched', 'positive'], ['customer service', 'unmatched', 'positive']]

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


Input: It is a great size and amazing windows 8 included !

Output: [['size', 'great', 'positive'], ['windows 8', 'amazing', 'positive']]

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


Input: I do not like too much Windows 8 .

Output: [['Windows 8', 'not like', 'negative']]

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


Input: Startup times are incredibly long : over two minutes .

Output: [['Startup times', 'long', 'negative']]

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


Input: Also stunning colors and speedy

Output: [['colors', 'stunning', 'positive']]

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


Input: great price free shipping what else can i ask for ! !

Output: [['price', 'great', 'positive'], ['shipping', 'free', 'positive']]

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


Input: This mouse is terrific .

Output: [['mouse', 'terrific', 'positive']]

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


Input: It is really thick around the battery .

Output: [['battery', 'thick', 'neutral']]

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


Input: And windows 7 works like a charm .

Output: [['windows 7', 'charm', 'positive']]

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


Input: : ) Great product , great price , great delivery , and great service .

Output: [['price', 'great', 'positive'], ['delivery', 'great', 'positive'], ['service', 'great', 'positive']]

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


Input: : ] It arrived so fast and customer service was great .

Output: [['customer service', 'great', 'positive']]

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


Input: tried windows 8 and hated it ! ! !

Output: [['windows 8', 'hated', 'negative']]

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


Input: Set up was a breeze .

Output: [['Set up', 'breeze', 'positive']]

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


Input: But I do NOT like Win8 .

Output: [['Win8', 'NOT like', 'negative']]

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


Input: I had the same reasons as most PC users : the price , the overbearing restrictions of OSX and lack of support for games .

Output: [['OSX', 'overbearing', 'negative'], ['support for games', 'lack', 'negative']]

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


Input: I wanted it for it 's mobility and man , this little bad boy is very nice .

Output: [['mobility', 'nice', 'positive']]

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


Input: I found the mini to be : Exceptionally easy to set up

Output: [['set up', 'easy', 'positive']]

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


Input: The sound is nice and loud ; I do n't have any problems with hearing anything .

Output: [['sound', 'nice', 'positive'], ['sound', 'loud', 'positive']]

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


Input: It is very slim , the track pad is very much impressed with me .

Output: [['track pad', 'slim', 'positive'], ['track pad', 'impressed', 'positive']]

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


Input: The settings are not user-friendly either .

Output: [['settings', 'not user-friendly', 'negative']]

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


Input: Thank goodness for OpenOffice !

Output: [['OpenOffice', 'goodness', 'positive']]

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


Input: Awesome form factor , great battery life , wonderful UX .

Output: [['form factor', 'Awesome', 'positive'], ['battery life', 'great', 'positive'], ['UX', 'wonderful', 'positive']]

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


Input: i love the keyboard and the screen .

Output: [['keyboard', 'love', 'positive'], ['screen', 'love', 'positive']]

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


Input: However , there are MAJOR issues with the touchpad which render the device nearly useless .

Output: [['touchpad', 'issues', 'negative'], ['touchpad', 'useless', 'negative']]

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


Input: I 've already upgraded o Mavericks and I am impressed with everything about this computer .

Output: [['Mavericks', 'impressed', 'positive']]

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


Input: Not as fast as I would have expect for an i5 .

Output: [['i5', 'Not as fast', 'negative']]

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


Input: thanks for great service and shipping !

Output: [['service', 'great', 'positive'], ['shipping', 'great', 'positive']]

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


Input: The performance seems quite good , and built-in applications like iPhoto work great with my phone and camera .

Output: [['performance', 'good', 'positive'], ['built-in applications', 'great', 'positive'], ['iPhoto', 'great', 'positive']]

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


Input: I did swap out the hard drive for a Samsung 830 SSD which I highly recommend .

Output: [['Samsung 830 SSD', 'recommend', 'positive']]

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


Input: Yes , that 's a good thing , but it 's made from aluminum that scratches easily .

Output: [['aluminum', 'scratches easily', 'negative']]

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


Input: I was also informed that the components of the Mac Book were dirty .

Output: [['components', 'dirty', 'negative']]

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


Input: the hardware problems have been so bad , i ca n't wait till it completely dies in 3 years , TOPS !

Output: [['hardware', 'bad', 'negative']]

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


Input: It 's so nice that the battery last so long and that this machine has the snow lion !

Output: [['battery', 'nice', 'positive'], ['battery', 'long', 'positive']]

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


Input: it 's exactly what i wanted , and it has all the new features and whatnot .

Output: [['features', 'wanted', 'positive'], ['features', 'new', 'positive']]

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


Input: It feels cheap , the keyboard is not very sensitive .

Output: [['keyboard', 'cheap', 'negative'], ['keyboard', 'not very sensitive', 'negative']]

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


Input: Though please note that sometimes it crashes , and the sound quality isnt superb .

Output: [['sound quality', 'isnt superb', 'negative']]

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


Input: It is very easy to navigate even for a novice .

Output: [['navigate', 'easy', 'positive']]

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


Input: Does everything I need it to , has a wonderful battery life and I could n't be happier .

Output: [['battery life', 'wonderful', 'positive']]

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


Input: Great Performance and Quality .

Output: [['Performance', 'Great', 'positive'], ['Quality', 'Great', 'positive']]

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


Input: One more thing , this mac does NOT come with restore disks and I am not sure if you can make them direct from the mac like you can with newer PC 's , also the charging cables are made of the same cheap material as the iPhone/iPod touch cables .

Output: [['material', 'cheap', 'negative']]

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


Input: The new os is great on my macbook pro !

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

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


Input: I have experienced no problems , works as anticipated .

Output: [['works', 'as anticipated', 'positive']]

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


Input: System is running great .

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

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


Input: Easy to customize setting and even create your own bookmarks .

Output: [['customize setting', 'Easy', 'positive'], ['create your own bookmarks', 'Easy', 'positive']]

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


Input: it has all the features that we expected and the price was good , working well so far .

Output: [['price', 'good', 'positive'], ['working', 'well', 'positive']]

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


Input: The new operating system makes this computer into a super iPad .

Output: [['operating system', 'new', 'positive']]

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


Input: Easy to set up and go !

Output: [['set up', 'Easy', 'positive']]

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


Input: I ca n't believe how quiet the hard drive is and how quick this thing boots up .

Output: [['hard drive', 'quiet', 'positive'], ['boots up', 'quick', 'positive']]

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


Input: It 's just what we were looking for and it works great .

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

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


Input: It 's so quick and responsive that it makes working / surfing on a computer so much more pleasurable !

Output: [['working', 'pleasurable', 'positive'], ['surfing', 'pleasurable', 'positive']]

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


Input: It works fine , and all the software seems to run pretty well .

Output: [['works', 'fine', 'positive'], ['software', 'well', 'positive']]

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


Input: I wanted a computer that was quite , fast , and that had overall great performance .

Output: [['performance', 'great', 'neutral']]

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


Input: Harddrive was in poor condition , had to replace it .

Output: [['Harddrive', 'poor', 'negative']]

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


Input: The on/off switch is a bit obscure in the rear corner .

Output: [['on/off switch', 'obscure', 'negative']]

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


Input: My only complaint is the total lack of instructions that come with the mac mini .

Output: [['instructions', 'lack', 'negative']]

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


Input: The only task that this computer would not be good enough for would be gaming , otherwise the integrated Intel 4000 graphics work well for other tasks .

Output: [['gaming', 'not be good', 'negative']]

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


Input: I use it mostly for content creation ( Audio , video , photo editing ) and its reliable .

Output: [['Audio', 'reliable', 'positive'], ['video', 'reliable', 'positive'], ['photo editing', 'reliable', 'positive']]

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


Input: Screen is bright and gorgeous .

Output: [['Screen', 'bright', 'positive'], ['Screen', 'gorgeous', 'positive']]

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


Input: It is robust , with a friendly use as all Apple products .

Output: [['use', 'friendly', 'positive']]

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


Input: It is fast and easy to use .

Output: [['use', 'easy', 'positive']]

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


Input: And the fact that it comes with an i5 processor definitely speeds things up

Output: [['i5 processor', 'speeds things up', 'positive']]

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


Input: I have been PC for years but this computer is intuitive and its built in features are a great help

Output: [['built in features', 'great help', 'positive']]

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


Input: Nice screen , keyboard works great !

Output: [['screen', 'Nice', 'positive'], ['keyboard', 'great', 'positive']]

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


Input: I was amazed at how fast the delivery was .

Output: [['delivery', 'amazed', 'positive'], ['delivery', 'fast', 'positive']]

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


Input: The memory was gone and it was not able to be used .

Output: [['memory', 'gone', 'negative'], ['memory', 'not able to be used', 'negative']]

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


Input: It works great and I am so happy I bought it .

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

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


Input: I like the design and ease of use with the keyboard , plenty of ports .

Output: [['design', 'like', 'positive'], ['keyboard', 'like', 'positive'], ['keyboard', 'ease of use', 'positive'], ['ports', 'plenty', 'positive']]

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


Input: it definitely beats my old mac and the service was great .

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

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


Input: Web browsing is very quick with Safari browser .

Output: [['Web browsing', 'quick', 'positive'], ['Safari browser', 'quick', 'positive']]

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


Input: I like the lighted screen at night .

Output: [['lighted screen', 'like', 'positive']]

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


Input: It is really easy to use and it is quick to start up .

Output: [['use', 'easy', 'positive'], ['start up', 'quick', 'positive']]

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


Input: I 've lived with the crashes and slow operation and restarts .

Output: [['operation', 'slow', 'negative']]

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


Input: USB3 Peripherals are noticably less expensive than the ThunderBolt ones .

Output: [['USB3 Peripherals', 'less expensive', 'positive']]

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


Input: It 's fast , light , and is perfect for media editing , which is mostly why I bought it in the first place .

Output: [['media editing', 'perfect', 'positive']]

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


Input: The battery lasts as advertised ( give or take 15-20 minutes ) , and the entire user experience is very elegant .

Output: [['user experience', 'elegant', 'positive']]

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


Input: Thanks for the fast shipment and great price .

Output: [['shipment', 'fast', 'positive'], ['price', 'great', 'positive']]

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


Input: ! Excellent performance , usability , presentation and time response .

Output: [['performance', 'Excellent', 'positive'], ['usability', 'Excellent', 'positive'], ['presentation', 'Excellent', 'positive'], ['time response', 'Excellent', 'positive']]

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


Input: The smaller size was a bonus because of space restrictions .

Output: [['size', 'smaller', 'positive'], ['size', 'bonus', 'positive']]

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


Input: I blame the Mac OS .

Output: [['Mac OS', 'blame', 'negative']]

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


Input: I like the operating system .

Output: [['operating system', 'like', 'positive']]

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


Input: I love the form factor .

Output: [['form factor', 'love', 'positive']]

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


Input: It 's fast at loading the internet .

Output: [['loading the internet', 'fast', 'positive']]

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


Input: So much faster and sleeker looking .

Output: [['looking', 'faster', 'positive'], ['looking', 'sleeker', 'positive']]

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


Input: Unfortunately , it runs XP and Microsoft is dropping support next April .

Output: [['XP', 'Unfortunately', 'neutral'], ['support', 'Unfortunately', 'negative'], ['support', 'dropping', 'negative']]

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


Input: First off , I really do like my MBP ... once used to the OS it is pretty easy to get around , and the overall build is great ... eg the keyboard is one of the best to type on .

Output: [['OS', 'like', 'positive'], ['OS', 'easy', 'positive'], ['overall build', 'great', 'positive'], ['keyboard', 'best', 'positive']]

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


Input: It is made of such solid construction and since I have never had a Mac using my iPhone helped me get used to the system a bit .

Output: [['construction', 'solid', 'positive']]

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


Input: Very nice unibody construction .

Output: [['unibody construction', 'nice', 'positive']]

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


Input: This Macbook Pro is fast , powerful , and runs super quiet and cool .

Output: [['runs', 'quiet', 'positive'], ['runs', 'cool', 'positive']]

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


Input: It 's ok but does n't have a disk drive which I did n't know until after I bought it .

Output: [['disk drive', "does n't have", 'neutral']]

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


Input: There is no HDMI receptacle , nor is there an SD card slot located anywhere on the device .

Output: [['HDMI receptacle', 'no', 'neutral'], ['SD card slot', 'nor', 'neutral']]

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


Input: It came in brand new and works perfectly .

Output: [['works', 'perfectly', 'positive']]

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


Input: It should n't happen like that , I do n't have any design app open or anything .

Output: [['design app', "do n't have", 'neutral']]

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


Input: MY TRACKPAD IS NOT WORKING .

Output: [['TRACKPAD', 'NOT WORKING', 'negative']]

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


Input: It looks and feels solid , with a flawless finish .

Output: [['finish', 'flawless', 'positive'], ['looks', 'solid', 'positive'], ['feels', 'solid', 'positive']]

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