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generation
semeval-2016
[ "The computer is as expected, and worth the money.", "The 8.1 windows is a major disappointment.", "Operating a non touch screen on this system is a royal pain!" ]
[['laptop general', 'positive'], ['laptop price', 'positive'], ['os general', 'negative'], ['os usability', 'negative']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "It was secure and easy to navigate.", "It is everything that I would want in a computer.", "Besides the great look, it is a great machine.", "I would definitely not go back to using a PC after using the mac.", "Once again apple stands alone at the top of the charts." ]
[['laptop quality', 'positive'], ['laptop usability', 'positive'], ['laptop general', 'positive'], ['laptop design_features', 'positive'], ['company general', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "I purchased this netbook after my original Toshiba laptop crashed right after the warranty expired.", "Three weeks after I bought the netbook, the screen quit working.", "I baby my electronics so I know for a fact it was defective and not anything that I did to it.", "Overall I feel this netbook was poor quality, had poor performance, although it did have great battery life when it did work." ]
[['display quality', 'negative'], ['display operation_performance', 'negative'], ['laptop quality', 'negative'], ['laptop general', 'negative'], ['laptop operation_performance', 'negative'], ['battery operation_performance', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "It had most of the features and all of the power that I wanted to replace my desktop machine.", "I wasn't really as concerned about portability (it's a very large laptop) but it's not hard to move around or take on a trip which was a pleasant surprise.", "I'm very happy with this machine!" ]
[['laptop design_features', 'positive'], ['laptop operation_performance', 'positive'], ['laptop portability', 'positive'], ['laptop general', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "bought notebook 07/2009.", "in 5 months the connect quality got worse and worse.", "1st time they got it working the next 5 month they had me send it in.", "returned it.", "5 months dead again.", "They say sorry out of warranty.", "Summary: They played games with me for the warranty period.", "Now 17 months later they want (would not say exact amount) $165.00 to $400 to fix the machine.", "They had me send in the machine last April returned it to me in May with no documentation on what was done it anything.", "Now the machine won't connect and Toshiba says that they did replace the connection card in May but they only warranty the repair for 30 days and now I'm out of warranty even though this has been a constant 5 month occurance since I bought the netbook.", "So buyer beware when buying Toshiba" ]
[['laptop connectivity', 'negative'], ['laptop quality', 'negative'], ['support quality', 'negative'], ['laptop general', 'negative'], ['support price', 'negative'], ['company general', 'negative']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "This laptop is amazing!", "Windows 8.1 has its pros and cons.", "The keyboard is backlit but you have to press the F5 key to turn it on.", "I was nervous at first that I purchased a lemon but the user manual explains how to turn on the keyboard backlight.", "Of course this will decrease your battery life.", "The sound is very nice and crisp.", "Also, I have no regrets about going with the 8GB RAM because its super fast.", "I'm still exploring the various features but overall I am satisfied with my purchase." ]
[['laptop general', 'positive'], ['os general', 'neutral'], ['keyboard design_features', 'positive'], ['keyboard usability', 'neutral'], ['laptop miscellaneous', 'neutral'], ['multimedia_devices quality', 'positive'], ['memory design_features', 'positive'], ['laptop operation_performance', 'positive'], ['laptop design_features', 'neutral']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "Great product, very easy to use and great graphics.", "One drawback, I wish the keys were backlit.", "I'm glad I bought this laptop, it was worth the few ($100) extra dollars." ]
[['laptop general', 'positive'], ['laptop usability', 'positive'], ['graphics general', 'positive'], ['keyboard design_features', 'negative'], ['laptop price', 'neutral']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "I initially purchased my Macbook Pro 13\" in April, and I loved it.", "I had never owned a Mac before;", "I had always used PCs and been constantly frustrated by the crashing and the poorly designed operating systems that were never very intuitive.", "I was so happy with my new Mac.", "for 2 months.", "Then the hard drive failed;", "my information was all lost (my fault, I know, but I never thought I would need to back up my information on a brand new Mac, the paragon of all computers!", "So, after Apple replaced the hard drive I enjoyed another 4 months of my new computer, until it froze this morning--completely.", "I can't even turn it off.", "It's catatonic.", "Even if Apple replaces whatever needs replacing I wonder if, since I seem to be doubling the amount of time I get out of it each time it's \"like new,\" I might have 8 months next time.", "Oh, boy!", "I would rate this computer at 5 stars, but considering it has a short life span I can only give it 1 and implore anyone looking at laptops to stay away from this machine.", "I'm going back to PC.", "At least those computers didn't just die on me like this one." ]
[['laptop general', 'negative'], ['hard_disc quality', 'negative'], ['laptop miscellaneous', 'negative'], ['laptop operation_performance', 'negative'], ['laptop quality', 'negative'], ['company general', 'negative']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "Purchased as a gift for a friend.", "The service I received from Toshiba went above and beyond the call of duty.", "My friend reports the notebook is astonishing in performance, picture quality, and ease of use.", "It is extremely portable and easily connects to WIFI at the library and elsewhere.", "Just what the doctor ordered." ]
[['support quality', 'positive'], ['laptop operation_performance', 'positive'], ['display quality', 'positive'], ['laptop usability', 'positive'], ['laptop portability', 'positive'], ['laptop connectivity', 'positive'], ['laptop general', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "Both my husband and I have this model Toshiba.", "I love everything about it.", "The only downfall is the battery only last 1.5-2.0 hrs when not plugged in.", "I would like at least a 4 hr. battery life.", "Otherwise, all other features are a 1" ]
[['laptop general', 'positive'], ['battery operation_performance', 'negative'], ['laptop design_features', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "was a great deal i will give that.", "the laptop preformed pretty well.", "it cant fuction well with lots of webpages open at once.", "it has times were it freezes for 10 seconds and then starts again.", "the mouse on the pad, the left button always sticks.", "the mouse is way way way to sensitve.", "i tried turning it done but it did nothing.", "the mouse jumps around all the time and it clicks stuff i dont want it too.", "its not bad just VERY VERY annoying.", "think i would spend little extra to get a better made laptop." ]
[['laptop general', 'negative'], ['laptop price', 'positive'], ['laptop operation_performance', 'negative'], ['mouse operation_performance', 'negative'], ['mouse usability', 'negative'], ['mouse general', 'negative'], ['laptop quality', 'negative']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "The HP Envy 15 has been everything I expected.", "After doing much research for a laptop that had all the features I was looking for, This one hit all the criteria I had.", "Amazon had the best pricing and the delivery was on time.", "The laptop is very responsice with the Core i7 processor and 8GB of RAM and the sound out of the Beats audio is great.", "I would highly recommend this product to anyone looking for a top performing laptop." ]
[['laptop general', 'positive'], ['laptop design_features', 'positive'], ['laptop operation_performance', 'positive'], ['cpu operation_performance', 'positive'], ['memory design_features', 'positive'], ['software quality', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "THIS HAS BEEN NOTHING BUT A HEADACHE SINCE WE PURCHASED IT.", "I will NEVER buy (Refurbished) again, I don't cae how cheap it is.", "I'll wait and save up for a new one.", "Just don't waste your time and money on this.", "I tried giving it 0 stars but I had to choose at least one, but IMO NO STARS" ]
[['laptop general', 'negative'], ['laptop miscellaneous', 'negative']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "Good price.", "Basic computer.", "Didn't work when shipped from Walmart.com but went into a store and exchanged for a working laptop (same make/model).", "It has worked fine." ]
[['laptop price', 'positive'], ['laptop miscellaneous', 'neutral'], ['laptop operation_performance', 'positive'], ['laptop general', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "I got the black MacBook two years ago and have never regretted it.", "It was a hard decision for me since the MacBook Pro looked so appealing.", "But to be honest, I don't use my computer for anything like graphics editing and complex data analysis and gaming.", "So this was great for me.", "It has just enough RAM to run smoothly and enough memory to satisfy my needs.", "Plus it is small and reasonably light so I can take it with me to and from work.", "I also travel with it and it never gives me any problems.", "It was also cheaper than the Pro which made it even more appealing to me.", "Sadly Apple has discontinued this MacBook, I think it was never super popular since it fell somewhere in between the cheapest white model and the smaller Pros.", "But I am glad to have gotten mine right before they stopped making it.", "I look forward to years of use, it has held up well over the years and it fits my needs very well." ]
[['laptop general', 'positive'], ['laptop operation_performance', 'positive'], ['memory design_features', 'positive'], ['laptop design_features', 'positive'], ['laptop portability', 'positive'], ['laptop price', 'positive'], ['laptop quality', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "The apple MacBook is the best investment that I have ever made.", "I previously owned a Toshiba and it only lasted about 2 years.", "The newer MacBook that I have purchased is one of the best computers.", "I am a college student and it has been very useful.", "It has all the features that are necessary for college and if not they are able to be added onto the computer.", "It has a lot of memory and a great battery life.", "It is sleek and lightweight and charges quickly when needed.", "Its white color is stylish for college students and easy to take to carry and take to classes.", "Iphoto is great for adding pictures right to facebook and other social networking sites.", "The internet capabilities are also very strong and picks up signals very easily." ]
[['laptop general', 'positive'], ['laptop miscellaneous', 'positive'], ['laptop design_features', 'positive'], ['laptop usability', 'positive'], ['memory design_features', 'positive'], ['battery operation_performance', 'positive'], ['laptop portability', 'positive'], ['software miscellaneous', 'positive'], ['laptop connectivity', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "Winnie and her staff are the best crew you can find serving you.", "The food is reliable and the price is moderate.", "What more can you ask for?" ]
[['service general', 'positive'], ['food quality', 'positive'], ['restaurant prices', 'neutral'], ['restaurant general', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "Great place to relax and enjoy your dinner", "There is something about their atmosphere that makes me come back nearly every week.", "Place is open till late, no dress code.", "Good food: my favorite is the seafood spaghetti.", "Highly recommended!" ]
[['ambience general', 'positive'], ['restaurant miscellaneous', 'positive'], ['food quality', 'positive'], ['restaurant general', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "I recently tried Suan and I thought that it was great.", "This little place definitely exceeded my expectations and you sure get a lot of food for your money.", "The service was fast and friendly and the food was very tasty and they had the best hot sauce to add to your meals.", "I have to say that I am pleasantly suprised and I will most likely stop in again if I am in the neighborhood." ]
[['restaurant general', 'positive'], ['food style_options', 'positive'], ['food prices', 'positive'], ['service general', 'positive'], ['food quality', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "As a Japanese native, I've lived in the Tristate area for over 8 years, but I was just so amazed at this place.", "This place is the most Japanese it can ever get.", "The signs, the specials menus, food, and even all the waitstaff are ALL TOTALLY Japanese.", "This place is worth an one-hour drive.", "I am so coming back here again, as much as I can." ]
[['restaurant general', 'positive'], ['restaurant miscellaneous', 'positive'], ['food style_options', 'positive'], ['food quality', 'positive'], ['service general', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "I've been to at Cafe Spice probably 5-8 times, it is probably still the best Indian restaurant around Union Square.", "To sum it up: Service varies from good to mediorce, depending on which waiter you get; generally it is just average Ok. ", "Seating is always prompt, though the restaurant does fill up in the evening.", "Food is usually very good, though ocasionally I wondered about freshmess of raw vegatables in side orders.", "As many other reviewers noticed, your order is often slow to arrive - this is particularly true in the evening but is not a problem during lunch time.", "The decor is vibrant and eye-pleasing with several semi-private boths on the right side of the dining hall, which are great for a date." ]
[['restaurant general', 'positive'], ['service general', 'neutral'], ['food quality', 'conflict'], ['ambience general', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "Poor service and management", "Don’t go to this place!", "Had an awful experience at Casa la Femme on a Saturday dinner.", "Appetizers took nearly an hour.", "When the main course finally arrived (another 45mins) half of our order was missing.", "Never got an explanation as to what was going on.", "The manager was rude and handled the situation extremely poorly.", "When we threatened to leave, we were offered a meager discount even though half the order was missing.", "On the way out, we heard of other guests complaining about similar issues.", "Can’t believe how an expensive NYC restaurant can be so disrespectful to its clients." ]
[['service general', 'negative'], ['restaurant general', 'negative'], ['restaurant prices', 'negative']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "This place is a great bargain.", "Authentic Pakistani food.", "People are always friendly.", "Don't waste money on decor.", "Just straight up cheap, good food." ]
[['restaurant prices', 'positive'], ['food quality', 'positive'], ['service general', 'positive'], ['ambience general', 'neutral'], ['food prices', 'positive'], ['restaurant general', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "Nice Family owned traditional restaurant.", "Fresh ingredients and everything is made to order.", "I was pleasantly surprised to find this gem in Hoboken.", "Friendly staff that actually lets you enjoy your meal and the company you're with." ]
[['restaurant general', 'positive'], ['food quality', 'positive'], ['service general', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "love the food.", "it's the only place you can get yummy authentic japanese comfort food.", "it helps if you know what to order.", "and you can't beat the prices.", "highly recommended." ]
[['food quality', 'positive'], ['restaurant prices', 'positive'], ['restaurant general', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "Sushi experience was unbelievable with my fiance.", "Try it!", "Very pleased" ]
[['food quality', 'positive'], ['restaurant general', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "This place is great.", "I had a huge group for my birthday and we were well taken care of.", "The waitress was very patient with us and the food is phenomenal!", "Service was prompt, friendly and great.", "Slightly on the pricey side but worth it!" ]
[['restaurant general', 'positive'], ['service general', 'positive'], ['food quality', 'positive'], ['restaurant prices', 'negative']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "BEST DINING EXPERIENCE IN THE WEST VILLAGE!", "Stepping into Casa La Femme last night was a true experience unlike any other in New York!", "Highly impressed from the decor to the food to the hospitality to the great night I had!", "The have a great cocktail with Citrus Vodka and lemon and lime juice and mint leaves that is to die for!", "Food took some time to prepare, all worth waiting for.", "We were drawn into the belly dancing show that captivated the crowd.", "I never write on these sites but this restaurant is def worth commending!", "Great find in the West Village!" ]
[['restaurant general', 'positive'], ['ambience general', 'positive'], ['food quality', 'positive'], ['service general', 'positive'], ['drinks quality', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "My Girlfriend and I stumbled onto this hopping place the other night and had a great time!", "THe Pizza and wine were excellent-the service too--but what really MADE this place was the backyard dining area.", "It is one the nicest outdoor restaurants I have ever seen in NY--I am from Italy and this place rivals the ones in my country.", "They tell me they are going to cover the garden in glass for the winter, so i'm looking forward to going there on a snowy night to enjoy it.", "Check this place out!", "HIGHLY RECOMMENDED!!!!!" ]
[['restaurant general', 'positive'], ['food quality', 'positive'], ['drinks quality', 'positive'], ['service general', 'positive'], ['ambience general', 'positive'], ['restaurant miscellaneous', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "this little place has a cute interior decor and affordable city prices.", "the pad se ew chicken was delicious, however the pad thai was far too oily.", "i would just ask for no oil next time." ]
[['ambience general', 'positive'], ['restaurant prices', 'positive'], ['food quality', 'conflict'], ['restaurant general', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "What a hassle!", "The food is very good, but not outstanding.", "There is no way it justifies the accolades it receives, the attitude of the staff or the wait for a table.", "On our last visit, they skipped over our name on the list, leaving us waiting an extra hour for a table.", "Mistakes happen, but they are usually accompanied by an apology, perhaps even a glass of wine...but not the grunt that we received from the Al Di La staff.", "Without the wait or attitude, I would probably go back, but there are just too many other restaurants in Brooklyn that are as good or better and don't make me jump through hoops." ]
[['restaurant general', 'negative'], ['food quality', 'neutral'], ['service general', 'negative']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "Our first time in New York and we had to try a New York Bagel.", "We were not dissappointed in the least bit by this little gem.", "The bagel was huge.", "They were served warm and had a soft fluffy interior.", "The workers there also absolutely load the bagel with cream cheese (gets a little messy).", "I loved it and would HIGHLY RECOMMEND." ]
[['restaurant general', 'positive'], ['food style_options', 'positive'], ['food quality', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "For a Fabulous Wedding!", "My daughter's wedding reception at Water's Edge received the highest compliments from our guests.", "Everyone raved about the atmosphere (elegant rooms and absolutely incomparable views) and the fabulous food!", "Service was wonderful;", "everyone was cheerfully cooperative and helpful.", "Paul, the maitre d', was totally professional and always on top of things.", "Thank you everyone at Water's Edge.", "Ruth, mother of the Bride" ]
[['restaurant miscellaneous', 'positive'], ['ambience general', 'positive'], ['location general', 'positive'], ['food quality', 'positive'], ['service general', 'positive'], ['restaurant general', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "Molto bene!", "This quaint and romantic trattoria is at the top of my Manhattan restaurant list.", "The food is delicious - from the specials to the regular menu-fare, the dishes are never a disappointment.", "Whether it's the parmesean porcini souffle or the lamb glazed with balsamic vinegar, you will surely be transported to Northern Italy with one bite.", "Although the tables may be closely situated, the candle-light, food-quality and service overcompensate.", "A guaranteeed delight!" ]
[['ambience general', 'positive'], ['restaurant general', 'positive'], ['food quality', 'positive'], ['service general', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "This is the perfect date spot for Williamsburg couples.", "The jukebox plays everything from Italian Opera to The Strokes.", "The food is amazing, rich pastas and fresh doughy pizza.", "Best of all is the warm vibe, the owner is super friendly and service is fast.", "If only they delivered, they'd make a mint!" ]
[['restaurant miscellaneous', 'positive'], ['ambience general', 'positive'], ['food quality', 'positive'], ['food style_options', 'positive'], ['service general', 'positive'], ['restaurant general', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "I found the food, service and value exceptional everytime I have been there.", "The food was authentic.", "I felt as though I were eating in Paris.", "The service was excellent - friendly and attentive.", "The prices are wonderfully low.", "Very good wine choices." ]
[['food quality', 'positive'], ['service general', 'positive'], ['restaurant prices', 'positive'], ['drinks style_options', 'positive'], ['restaurant general', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "We went to Ino for Valentines.", "We have been to this place many times, and always have great food, wine, and service.", "We were worried we would have trouble getting in, but somehow managed to have a short wait.", "As always we had a great glass of wine while we waited.", "When we sat, we got great and fast service.", "The people that work there are always so friendly you forget you are in New York sometimes.", "Make sure you try this place as often as you can." ]
[['food quality', 'positive'], ['drinks quality', 'positive'], ['service general', 'positive'], ['restaurant general', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "This is some really good, inexpensive sushi.", "It costs $2 extra to turn a regular roll into an inside-out roll, but the roll more than triples in size, and that's not just from the rice.", "The spicy Tuna roll is huge and probably the best that I've had at this price range.", "The Yellowtail was particularly good as well.", "I have reservations about the all you can eat deal, however -- the choices are fairly limited and you can probably order more food than you can eat for less than $18 by just going off the menu.", "In any event, this is a place I'll be sure to stop by again when I'm in this part of town." ]
[['food quality', 'positive'], ['food prices', 'conflict'], ['food style_options', 'conflict'], ['restaurant general', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "Best meal in a long time!", "Mussles and calamari were superb Saturday evening.", "I had the Lamb special which was perfect.", "My father had the flank steak which was very good, and my mother had the swordfish." ]
[['food quality', 'positive'], ['restaurant general', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "If you want something really different than try Jekyll and Hyde.", "It is a lot of fun with live entertainment and all kinds of Disney type special effects.", "The food was pretty tradional but it was hot and good with large portions.", "I highly recommend it.", "I am going to the mid town location next." ]
[['restaurant general', 'positive'], ['ambience general', 'positive'], ['food quality', 'positive'], ['food style_options', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "Great sushi experience.", "Nice value.", "Unique apppetizers.", "Try sushimi cucumber roll." ]
[['food quality', 'positive'], ['restaurant prices', 'positive'], ['restaurant general', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "Awsome Pizza especially the Margheritta slice.", "Always busy but fast moving.", "Great atmoshere and worth every bit.", "Open late (well as late as I ever got there and I'm a night person)" ]
[['food quality', 'positive'], ['service general', 'positive'], ['ambience general', 'positive'], ['restaurant general', 'positive'], ['restaurant miscellaneous', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "I stumbled upon this great pizzeria as I explored my new neighborhood.", "All of the pizzas are terrific and the price is even better!", "I highly recommend the Sophia pizza.", "It's to die for!" ]
[['restaurant general', 'positive'], ['food quality', 'positive'], ['food prices', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "This restaurant was way overhyped.", "My chow fun and chow see was really bland and oily.", "Okay-i don't mind the oily part (cause most are cooked that way) but it was way too bland.", "The scallion pancakes and fried dumplings were nothing out of the ordinary." ]
[['restaurant general', 'negative'], ['food quality', 'negative']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "When we stumbled on Leon, we thought that we had found quite the gem BUT, we were certainly wrong.", "The waitress moved our table practically into the bathroom and when we asked to cancel our dinner orders because we did not want to eat sitting on the toilet, we were told no...", "Then, to top things off, she dropped used silverware on my boyfriend's jacket and did not stop to apologize or clean the mess that was left on clothes. ", "Such a disappointment...", "Rude service, medicore food...there are tons of restaurants in NY...stay away from this one" ]
[['restaurant general', 'negative'], ['service general', 'negative'], ['food quality', 'neutral']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "Visited there while on vacation and reading the reviews.", "On a hot day it was fabulous to stop in and enjoy lunch.", "Ambience is so cute and quaint, good for business although we were there on vacation.", "Salads were fantastic.", "Although we were looking for regular lettuce and some walnuts the salads we got were great.", "Ingredients are organic which is a real plus for me.", "We will be back." ]
[['restaurant general', 'positive'], ['ambience general', 'positive'], ['restaurant miscellaneous', 'positive'], ['food quality', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "This place would be so much better served by being run by a group that actually understands customer service.", "The only thing you can do here is walk in and eat .. but planning an event, especially a small, intimate one, forget about it.", "They are not helpful in the least and will give you the grand run around so by the time the event date rolls around you will not only regret chosing this place, but also become hostile!", "Nobody at this restaurant will give firm answers about anything and in the end, not one person takes responsibility for anything.", "Terrible, terrible management - deserves to be shut-down." ]
[['service general', 'negative'], ['restaurant miscellaneous', 'negative'], ['restaurant general', 'negative']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "Patsy's Pizza = true love", "Hands down the best pizza on the planet.", "My bf and I go to the walk-up counter and order a pie.", "In about 12 minutes, the thing is gone.", "Need I say more?" ]
[['restaurant general', 'positive'], ['food quality', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "Went to Ottimo and was expecting outstanding pizza (as I love La Pizza Fresca).", "Was surprisingly disappointed.", "Pizza was a little soggy.", "Ravioli was good...but I have to say that I found everything a bit overpriced.", "Not enough wines by the glass either.", "Service, however, was excellent...and I liked the setting/atmosphere a lot. ", "Food was just average...if they lowered the prices just a bit, it would be a bigger draw." ]
[['food quality', 'neutral'], ['food prices', 'negative'], ['drinks style_options', 'negative'], ['service general', 'positive'], ['ambience general', 'positive'], ['restaurant general', 'conflict']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "I think I've had some the best meals of my life at minnow.", "The seafood is amazing, there's a good wine list, and the ever-changing menu always offers some great surprises.", "The combination of super-fresh ingredients in the dishes are unusual but really delicious.", "Worth the trip from Manhattan." ]
[['food quality', 'positive'], ['drinks style_options', 'positive'], ['food style_options', 'positive'], ['restaurant general', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "Thalia is a beautiful restaurant with beautiful people serving you, but the food doesn't quite match up.", "I ordered the smoked salmon and roe appetizer and it was off flavor.", "The entree was bland and small, dessert was not inspired.", "I expected quite a bit more from such an expensive menu." ]
[['service general', 'positive'], ['food quality', 'negative'], ['ambience general', 'positive'], ['food style_options', 'negative'], ['food prices', 'negative'], ['restaurant general', 'negative']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "great hot dogs..", "the hot dogs were juicy and tender inside and had plenty of crunch and snap on the outside.", "great toppings definitely a place you need to check out for late night munchies or a mid day boost!" ]
[['food quality', 'positive'], ['restaurant miscellaneous', 'positive'], ['restaurant general', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "Maggot in the food!", "I've been wanting to go to this place forever and finally got a table.", "The menu looked great, and the waiter was very nice, but when the food came, it was average.", "Nevertheless, I finished my plate, and that's when I found a maggot in mushroom sauce at the bottom.", "I showed it to the manager, and he smilingly apologized and brought us two free desserts (but did not ask us what we wanted and so brought the last two desserts we would have asked for).", "When the bill came, nothing was comped, so I told the manager very politely that we were willing to pay for the wine, but I didn't think I should have to pay for food with a maggot in it.", "Yes, I ate the food, but I certainly would not have if I had seen the maggot before eating, and I was at this point fairly sick to my stomach.", "The manager finally said he would comp the two glasses of wine (which cost less than the food), and made it seem like a big concession.", "We paid and left because we didn't feel like arguing any more.", "I have worked in restaurants and cook a lot, and there is no way a maggot should be able to get into well prepared food.", "For a restaurant with such a good reputation and that is usually so packed, there was no reason for such a lack of intelligent customer service." ]
[['food quality', 'negative'], ['food style_options', 'positive'], ['service general', 'negative'], ['restaurant miscellaneous', 'positive'], ['restaurant general', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "This place blew me away...by far my new favorite restaurant on the uppereast side.", "The wine list is extensive and impressive.", "LOVE the atmosphere - felt like I was in Paris.", "The mussels were fantastic and so was the dessert...definitely going to be back very soon." ]
[['restaurant general', 'positive'], ['drinks style_options', 'positive'], ['ambience general', 'positive'], ['food quality', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "One of the BEST", "Bukhara Grill, the tagline says it all.. \"INDIAN SPICE RAVE\"", "My GF and I dine at Bukhara often as she lives near it.", "The lunch buffet is expensive but is deff worth it.", "We go often for lunch and the place is packed.", "We have gone for dinner only a few times but the same great quality and service is given.", "Bukhara is on my top 5 Indian places in NYC" ]
[['restaurant general', 'positive'], ['food prices', 'negative'], ['food quality', 'positive'], ['service general', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "I loved this place!!", "I almost hesititate to write a review because the atmosphere was so great and I would hate for it too become to crowded.", "The food was very good, a great deal, and the place its self was great.", "The wait staff is very freindly, they make it feel like you're eating in a freindly little european town." ]
[['restaurant general', 'positive'], ['ambience general', 'positive'], ['food quality', 'positive'], ['food prices', 'positive'], ['service general', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "I love this place", "I wasn't here for the pizza so I can't comment on that yet but what I had was very good.", "The service was quick and friendly.", "Everyone was smiling so that made me feel welcome.", "I thought the restaurant was nice and clean.", "I ordered the vitello alla marsala and I was pretty impressed.", "The veal and the mushrooms were cooked perfectly.", "The potato balls were not dry at all... in fact it was buttery.", "The only downside... they only take cash which is OK if you know about it ahead of time.", "I'll be back for sure." ]
[['restaurant general', 'positive'], ['food quality', 'positive'], ['service general', 'positive'], ['ambience general', 'positive'], ['restaurant miscellaneous', 'negative']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "If we were to move from the upper east side, we would genuinely miss this restaurant.", "We've lived in the area for more than 8 years.", "The restaurant is cute but not upscale.", "The food is a diamond in rough -- the food is delicious and homemade with the perfect balance of herbs and tomatoes.", "I would highly recommend it.", "It's one of our favorite places to eat in NY." ]
[['ambience general', 'neutral'], ['restaurant general', 'positive'], ['food quality', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "This is such a lovely, peaceful place to eat outside.", "The restaurant looks out over beautiful green lawns to the Hudson River and the Statue of Liberty.", "It is set far from the small street it's on, and there is no traffic noise.", "The food is good, especially their more basic dishes, and the drinks are delicious.", "This is a great place to take out-of-towners, and perfect for watching the sunset." ]
[['ambience general', 'positive'], ['location general', 'positive'], ['food quality', 'positive'], ['drinks quality', 'positive'], ['restaurant general', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "We visited Orsay during NY Restaurant Week and tried their $35 menu.", "Service was very good - prompt, attentive and non-intrusive.", "Food was very good as well, considering that we tried the budget selection (though I wish the pork belly that I ordered was roasted a bit longer, so that fat was more of a melt-in-your-mouth experience).", "Wine list selection is good and wine-by-the-glass was generously filled to the top.", "Traditional French decour was pleasant though the hall was rather noisy - the restaurant was full and we had to raise our voices to be able to maintain a conversation." ]
[['service general', 'positive'], ['food quality', 'positive'], ['drinks style_options', 'positive'], ['ambience general', 'conflict'], ['restaurant general', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "it's a perfect place to have a amanzing indian food.", "I really loved the different and inovated touch that's the cheff gives to the food.", "also it's great to have dinner in a very romantic and confortable place, the service it's just perfect...they're so frendly that we never want to live the place!" ]
[['food quality', 'positive'], ['food style_options', 'positive'], ['ambience general', 'positive'], ['service general', 'positive'], ['restaurant general', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "This has got to be one of the most overrated restaurants in Brooklyn.", "The pizza is overpriced and soggy.", "Yes, they use fancy ingredients, but even fancy ingredients don't make for good pizza unless someone knows how to get the crust right.", "A big disappointment, all around." ]
[['restaurant general', 'negative'], ['food quality', 'negative'], ['food prices', 'negative']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "The Four Seasons restaurant is a great experience.", "The food is great and the environment is even better.", "Everyone must come here at least once.", "Highly recommend it!" ]
[['restaurant general', 'positive'], ['food quality', 'positive'], ['ambience general', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "honestly the worst sushi my husband and i had in our entire lives.", "believe us, we've been eating sushi for over 15 yrs.", "not sure why this restaurant would be rated that highly.", "the all-u-can-eat sushi is definitely in very poor quality.", "limited menu, no-so-fresh ingredients, thinly-sliced fish, fall-apart rice. ", "the only things u could really taste are the very salty soy sauce (even its low sodium), the vinegar-soaked rice, and the scallion on top of the fish. ", "the waitstaffs are nice though.", "wont come back again for sure!" ]
[['food quality', 'negative'], ['restaurant general', 'negative'], ['food style_options', 'negative'], ['service general', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "I just read Mocaramel's review and felt compelled to respond.", "I have been coming here for years and have nothing but good things to say about the service and the great staff at La Lanterna.", "Over the years the host, Vittorio, and his crew, have always treated me as family--although with all the business this not-so-little gem does, it amazing he's even able to remember a consistent but not-so-frequent visitor.", "I've also been amazed at all the new additions in the past few years: A new Jazz Bar, the most fantastic Dining Garden, the Best Thin Crust Pizzas, and now a Lasagna Menu which is to die for (these are not your average lasagnas)!", "I lOVE THIS PLACE!", "Keep up the good work guys!" ]
[['service general', 'positive'], ['ambience general', 'positive'], ['food quality', 'positive'], ['restaurant general', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "Lucky Strike is a great casual place to just grab a bite to eat.", "Yeah the crowd can take it a bit seriously, but it shouldn't.", "Great food, great decor, great service.", "I recommend it!", "Just ignore the trendy wannabes." ]
[['restaurant general', 'positive'], ['food quality', 'positive'], ['ambience general', 'positive'], ['service general', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "We ate outside at Haru's Sake bar because Haru's restaurant next door was overflowing.", "What's the difference between the two?", "Their sake list was extensive, but we were looking for Purple Haze, which wasn't listed but made for us upon request!", "The spicy tuna roll was unusually good and the rock shrimp tempura was awesome, great appetizer to share!", "We went around 9:30 on a Friday and it had died down a bit by then so the service was great!" ]
[['drinks style_options', 'positive'], ['service general', 'positive'], ['food quality', 'positive'], ['restaurant general', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "They forgot a sandwich, didn't include plastic forks, and didn't include pita with the hummus platter.", "Also, the sandwiches (nearing $7) didn't come with anything like chips or a side.", "Overall, not worth the money.", "Eating in, the atmosphere saves it, but at your desk, it's a very disappointing experience." ]
[['service general', 'negative'], ['food style_options', 'negative'], ['food prices', 'negative'], ['restaurant general', 'negative'], ['restaurant prices', 'negative'], ['ambience general', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "So rude!!!", "I went with JWILS.", "Her review is above.", "I was one of the people that went for this horrible experience.", "My friend is 100% right in the experience we had.", "The hostess was rude and I got a distinct feeling that they did not want to serve us.", "The only thing that my friend left out is that when we sat down at the bar the bartender disappeared.", "I asked for a menu and the same waitress looked at my like I was insane.", "I was shocked that my friends wanted to stay after the waitress said, \"can I help you\" and \"how many are in your party.\"", "What?", "The three of us standing in front of her should have been an indication of how many of us there were.", "We didn't look like the other patrons in there so unfortunately I think that may have been part of the problem.", "Shame on this place for the horrible rude staff and non-existent customer service." ]
[['service general', 'negative'], ['restaurant general', 'negative'], ['restaurant miscellaneous', 'negative']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "I had my eyes on this place, promising myself I will one day 'give it a try.' ", "And I hate to say this but I doubt I'll ever go back. ", "The food is very average...the Thai fusion stuff is a bit too sweet, every thing they serve is too sweet here.", "The only thing I moderately enjoyed was their Grilled Chicken special with Edamame Puree.", "I had never had Edamame pureed before but I thought it was innovative and tasty (could've used a bit more salt).", "Anyways, if you're in the neighborhood to eat good food, I wouldn't waste my time trying to find something, rather go across the street to Tamari.", "The decor is night tho...but they REALLY need to clean that vent in the ceiling...its quite un-appetizing, and kills your effort to make this place look sleek and modern." ]
[['restaurant general', 'negative'], ['food quality', 'conflict'], ['food style_options', 'positive'], ['ambience general', 'conflict']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "I was here a few weeks back and we had the worst customer service experience at a restaurant ever.", "A gentleman, maybe the manager, came to our table, and without so much as a smile or greeting asked for our order.", "When asked about how a certain dish was prepared in comparison to a similar at other thai restaurants, he replied this is not Mcdonald's, every place makes things differently ", "While it is understandable that every place is indeed different, there was not a need to be uncourteous to customers and downright rude.", "The service was poor, restaurant poorly lit, staff not very attentive and I would have rather eaten at a Mcdonald's than this joint.", "Never again!" ]
[['service general', 'negative'], ['restaurant general', 'negative'], ['ambience general', 'negative']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "Best restaurant in Brooklyn", "The best!", "Great food, amazing service, this place is a class act.", "The veal was incredible last night.", "Fresh, mind blowing flavors.", "This place is a must visit!" ]
[['restaurant general', 'positive'], ['food quality', 'positive'], ['service general', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "I'm not sure where the other reviewers ate but it seems as if we visited two different restaurants because my friends and I all enjoy Mizu very much... and we're repeat customers.", "Even after they overcharged me the last time I was there.", "Make sure you have the Spicy Scallop roll.. .", "it's delicious!" ]
[['restaurant general', 'positive'], ['service general', 'negative'], ['food quality', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "I was speechless by the horrible food.", "I attended a holiday dinner at the restaurant, and the food was majorly disappointing.", "Rather than eating the meat entree being offered, I requested a vegetarian dish.", "Rather than preparing vegetarian dish, the chef presented me with a plate of steamed vegetables (minus sauce, seasoning, or any form or aesthetic presentation).", "I was so stunned, and I left the dinner hungry and majorly disappointing.", "This place survives on reputation alone.", "I will NEVER return." ]
[['food quality', 'negative'], ['service general', 'negative'], ['food style_options', 'negative'], ['restaurant general', 'negative'], ['restaurant miscellaneous', 'negative']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "I tend to judge a sushi restaurant by its sea urchin, which was heavenly at sushi rose.", "It melted in my little mouth and the perfect consistency-not too fishy, creamy, and slightly buttery.", "The sushi seemed pretty fresh and was adequately proportioned.", "The rice to fish ration was also good--they didn't try to overpack the rice.", "We took advanatage of the half price sushi deal on saturday so it was well worth it." ]
[['food quality', 'positive'], ['food style_options', 'positive'], ['food prices', 'positive'], ['restaurant general', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "Got a date? Go here!", "Every time I have a special occasion with my boyfriend I have a hard time going anywhere else.", "It is so romantic.", "Its dark, and cozy.. there is always jazz music playing when we go.", "Most of the booths allow you to sit next to eachother without looking like 'that' couple.", "The food is all shared so we get to order together and eat together.", "I've enjoyed 99% of the dishes we've ordered with the only exceptions being the occasional too-authentic-for-me dish (I'm a daring eater but not THAT daring).", "Once you try it for a special occasion beware.. you can't stop!", "You'll be ther for every anniversary, birthday, valentines day..." ]
[['restaurant miscellaneous', 'positive'], ['ambience general', 'positive'], ['food style_options', 'positive'], ['food quality', 'positive'], ['restaurant general', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "I'm still mad that i had to pay for lousy food.", "The hanger steak was like rubber and the tuna was flavorless not to mention it tasted like it had just been thawed.", "Service was also horrible and the ambience is not that great.", "DO not try unless you're just going there to hang out like the rest of the hipsters who apparently have no sense of taste." ]
[['food quality', 'negative'], ['service general', 'negative'], ['ambience general', 'negative'], ['restaurant miscellaneous', 'negative'], ['restaurant general', 'negative']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "I have to agree with the previous reviewer.", "I don't get it either.", "Not impressed with the food.", "Prices too high for this cramped and unappealing resturant.", "Zero ambiance to boot." ]
[['food quality', 'negative'], ['restaurant prices', 'negative'], ['ambience general', 'negative'], ['restaurant general', 'negative']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "This restaurant was recommended by a local...as a matter of fact, he made the reservation for us and said we would not be disappointed!", "We weren't!", "The prices were CHEAP compared to the quality of service and food.", "We liked it so much, that we will always make it a point to dine here when we visit New York." ]
[['restaurant general', 'positive'], ['restaurant prices', 'positive'], ['service general', 'positive'], ['food quality', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "Favorite Sushi in NYC", "I have eaten at some of the 'best' sushi joints in NYC (Nobu, Bond Street, JewelBako, etc) and Yamato is my favorite.", "An unpretentious spot in Park Slope, the sushi is consistently good, the service is pleasant, effective and unassuming.", "In the summer months, the back garden area is really nice.", "The rolls are creative and I have yet to find another sushi place that serves up more inventive yet delicious japanese food.", "The Dancing, White River and Millenium rolls are musts." ]
[['food quality', 'positive'], ['ambience general', 'positive'], ['service general', 'positive'], ['food style_options', 'positive'], ['restaurant general', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "fresh restaurant was amazing........ food was delicious and of course fresh.", "great for a romantic evening, or a fun evening with friends...", "I will be going back very soon.", "keep up the good work.", "Hats off to the chef." ]
[['restaurant general', 'positive'], ['food quality', 'positive'], ['ambience general', 'positive'], ['restaurant miscellaneous', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "I like Cafe Noir dont get me wrong, it is jsut that the people who work there are evil and incompetent!!", "The service was terrible, we had to wait for everything and ask several of different people for the same thing before we were allowed to be served.", "The waitress, seems to be more concerned of looking good than actually waitressing.", "After dinner the manager grabbed my boyfriend, asked him: Where are you from...maybe you dont know how things work in America...and in the end stormed away almost teareyed yelling that tips are the only thing they survive on.", "We did tip, I guess the model/waitress just wanted more and complained to the manager.", "The whole set up is truly unprofessional and I wish Cafe Noir would get some good staff, because despite the current one this is a great place." ]
[['service general', 'negative'], ['restaurant general', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "Have eaten at Ginger House several times, and it's always good.", "The fried dumplings are GREAT!", "Finally a reliable Chinese restaurant!" ]
[['restaurant general', 'positive'], ['food quality', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "Growing up in NY, I have eaten my share of bagels.", "Ess-A-Bagel (either by Sty-town or midtown) is by far the best bagel in NY.", "The bagels always warm, soft on the inside, crispy on the outside and enormous in size.", "They have a huge selection of different cream cheeses and all of their salads are great.", "The lox is always fresh too.", "Highly recommended to all!" ]
[['food quality', 'positive'], ['food style_options', 'positive'], ['restaurant general', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "Having hunted around for a quiet, romantic, yet not hideously expensive restaurant I stumbled across reviews for La Lanterna and gave it a shot.", "Quite simply it's like stepping out of Manhattan and into a haven of tranquility.", "The service was attentive, yet unimposing, the food was far better than many notorious restaurants in Midtown and the wine list is extensive and well priced.", "The Prix Fixe menu is worth every penny and you get more than enough (both in quantity AND quality).", "I will be going back and heartily recommend it!" ]
[['ambience general', 'positive'], ['food quality', 'positive'], ['food style_options', 'positive'], ['food prices', 'positive'], ['restaurant general', 'positive'], ['service general', 'positive'], ['drinks style_options', 'positive'], ['drinks prices', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "I thought going to Jimmys would give me a real Domincan exprience.", "Jimmy is Dominican!", "Well, this place is so Ghetto its not even funny.", "If you like your music blasted and the system isnt that great and if you want to pay at least 100 dollar bottle minimun then you'll love it here.", "Would NEVER go back there.", "Too bad Latin Quarters closed.", "That place was awesome,,, sally !" ]
[['ambience general', 'negative'], ['drinks prices', 'negative'], ['restaurant general', 'negative']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "Once you step into Cosette, you're miraculously in a small, off-the-beaten path Parisian bistro.", "This tiny restaurant is as cozy as it gets, with that certain Parisian flair.", "The food was average to above-average; the French Onion soup filling yet not overly impressive, and the desserts not brilliant in any way.", "However, go for the ambience, and consider the food just a companion for a trip across the world!" ]
[['ambience general', 'positive'], ['food quality', 'neutral'], ['food style_options', 'positive'], ['restaurant general', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "I have never before eaten 40 pieces of relatively good nigiri.", "Stuffing yourself with Japanese food is a rare thing.", "You can do it here.", "$20 for all you can eat sushi cannot be beaten." ]
[['food quality', 'neutral'], ['food style_options', 'positive'], ['food prices', 'positive'], ['restaurant general', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "I went here with a friend on a whim, we went someplace else first and couldn't get a table.", "Service here was great, food was fantastic.", "Guacamole+shrimp appetizer was really great, we both had the filet, very good, didn't much like the frites that came with, but the filet was so good, neither of us cared.", "Will absolutely visit again.", "Maybe tomorrow ;-)" ]
[['service general', 'positive'], ['food quality', 'positive'], ['restaurant general', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "The tuna and wasabe potatoes are excellent.", "The outdoor atmosphere of sitting on the sidewalk watching the world go by 50 feet away on 6th avenue on a cool evening was wonderful.", "Inside is a little cramped, but to be expected.", "Service was prompt and courteous.", "This was a repeat visit and we'll definitely be back again." ]
[['food quality', 'positive'], ['location general', 'positive'], ['ambience general', 'neutral'], ['service general', 'positive'], ['restaurant general', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "I've eaten at Pizza Gruppo a few times, but more often I order delivery.", "The food is great.", "Personal pans are the perfect size for those hungry nights.", "I heartily recommend.", "There is a downside if you're ordering in -- the delivery guys have MAJOR attitude.", "Never have I had such dramatic delivery guys (a lot of huffing and panting and muttering under breath b/c I live in a walkup) who always seem disappointed with their tips.", "Hey, I think $2+ for a 5 block walk ain't bad." ]
[['food quality', 'positive'], ['food style_options', 'positive'], ['restaurant general', 'positive'], ['service general', 'negative']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "Unhygienic", "I do not recommend.", "I went there 2times .", "I got hair in my food 2 times of then !" ]
[['food quality', 'negative'], ['restaurant general', 'negative']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "Went there for an office lunch.", "The location and ambience is Ok but the food is what makes up for it.", "There is a lot of variety even for people who eat vegetarian like me.", "Try green curry with vegetables.", "The quantity is also very good, you will come out satisfied.", "The service is ok, some of the people didn't get what they asked for." ]
[['location general', 'neutral'], ['ambience general', 'neutral'], ['food quality', 'positive'], ['food style_options', 'positive'], ['service general', 'neutral'], ['restaurant general', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "The food here is rather good, but only if you like to wait for it.", "I like the somosas, chai, and the chole, but the dhosas and dhal were kinda dissapointing.", "The service varys from day to day- sometimes they're very nice, and sometimes not.", "The kitchen however, is almost always slow.", "Also, specify if you like your food spicy- its rather bland if you don't.", "The ambience is pretty and nice for conversation, so a casual lunch here would probably be best." ]
[['food quality', 'conflict'], ['service general', 'negative'], ['ambience general', 'positive'], ['restaurant miscellaneous', 'positive'], ['restaurant general', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "amazing fresh dogs but best of all endless toppings!!!", "this place had ALL the trimmings and i mean all.", "peppers, onions, relish, chilli, cheeses, you NAME it.", "amazing fun for hot dog lovers of all ages PLEASE do yourself a favor and check this place out!!!!" ]
[['food quality', 'positive'], ['food style_options', 'positive'], ['restaurant general', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "By far the best salad I have had in a fast food restaurant.", "fine dining restaurant quality.", "Over 100 different choices to create your own.", "A must try!" ]
[['food quality', 'positive'], ['food style_options', 'positive'], ['restaurant general', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "Great Indian food and the service is incredible.", "The owner truly caters to all your needs.", "When family came in he gave them apps to test their palets, and then ordered for them.", "Everyone was more then happy with his choices.", "Great food and the prices are very reasonable." ]
[['food quality', 'positive'], ['service general', 'positive'], ['restaurant prices', 'positive'], ['restaurant general', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "What a great place.", "I came into the city to try out this restaurant because a friend had recommended it to my husband.", "The ambience was so fun, and the prices were great, on top of the fact that the food was really tasty.", "I wasn't thrilled to have to wait on line for thirty minutes, but I guess that's the price you pay for a popular place.", "I would definitely recommend SEA if you like thai cuisine!" ]
[['restaurant general', 'positive'], ['ambience general', 'positive'], ['restaurant prices', 'positive'], ['food quality', 'positive'], ['service general', 'neutral']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "Went here on a friend's reccomendation.", "Enjoyed a very nice Caesar Salad while my wife had arugula and goat cheese....both very tasty.", "We both opted for a pasta dish and they were served timely and fresh.", "We concluded with tiramisu chocolate cake, both were delicious.", "We'd go back again" ]
[['food quality', 'positive'], ['service general', 'positive'], ['restaurant general', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]
generation
semeval-2016
[ "Whenever you need a Sushi fix, Mizu will be there with quality fish and great service.", "Delivery is fast too.", "Great friendly service, Fast seating, Fast Delivery, Excellent sushi.", "A little overpriced but worth it once you take a bite." ]
[['food quality', 'positive'], ['service general', 'positive'], ['food prices', 'negative'], ['restaurant general', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']]