user- At the core of We Feel Fine is a data collection engine that automatically scours the Internet every ten minutes, harvesting human feelings from a large nu...At the core of We Feel Fine is a data collection engine that automatically scours the Internet every ten minutes, harvesting human feelings from a large number of blogs. Blog data comes from a variety of online sources, including LiveJournal, MSN Spaces, MySpace, Blogger, Flickr, Technorati, Feedster, Ice Rocket, and Google. We Feel Fine scans blog posts for occurrences of the phrases "I feel" and "I am feeling". This is an approach that was inspired by techniques used in Listening Post, a wonderful project by Ben Rubin and Mark Hansen. Once a sentence containing "I feel" or "I am feeling" is found, the system looks backward to the beginning of the sentence, and forward to the end of the sentence, and then saves the full sentence in a database. Once saved, the sentence is scanned to see if it includes one of about 5,000 pre-identified "feelings". This list of valid feelings was constructed by hand, but basically consists of adjectives and some adverbs. The full list of valid feelings, along with the total count of each feeling, and the color assigned to each feeling, is here.
- twitter based sentiment visualization, with a real-time twist
- Ricardo Baeza-Yates, Yahoo Research
- (2008)
- AIRWeb '07: Proceedings of the 3rd international workshop on Adversarial information retrieval on the web, page 89--92. New York, NY, USA, ACM, (2007)
- ADKDD '08: Proceedings of the 2nd International Workshop on Data Mining and Audience Intelligence for Advertising, page 27--36. New York, NY, USA, ACM, (2008)
- SIGIR '05: Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval, page 345--352. New York, NY, USA, ACM, (2005)
- IJCAI'03: Proceedings of the 18th international joint conference on Artificial intelligence, page 1303--1308. San Francisco, CA, USA, Morgan Kaufmann Publishers Inc., (2003)
- World Wide Web Conference WWW, ACM Press, (April 2010)
- CIKM '09: Proceeding of the 18th ACM conference on Information and knowledge management, page 67--76. New York, NY, USA, ACM, (2009)
- NAACL '09: Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, page 263--271. Morristown, NJ, USA, Association for Computational Linguistics, (2009)
- HT '08: Proceedings of the nineteenth ACM conference on Hypertext and hypermedia, page 55--60. New York, NY, USA, ACM, (2008)
- Web Information Systems Engineering - WISE 2009 (2009)
- JCDL '09: Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries, page 105--114. New York, NY, USA, ACM, (2009)
- J. Am. Soc. Inf. Sci. Technol. 57(6):797--799 (2006)
- Language Resources and Evaluation 1(2):0 (2005)
- CHI EA '09: Proceedings of the 27th international conference extended abstracts on Human factors in computing systems, page 3805--3810. New York, NY, USA, ACM, (2009)
- Comput. Linguist. 15(4):233--249 (1989)
- WWW '09: Proceedings of the 18th international conference on World wide web, page 471--480. New York, NY, USA, ACM, (2009)
- WWW '09: Proceedings of the 18th international conference on World wide web, page 481--490. New York, NY, USA, ACM, (2009)
- CHI '06: Proceedings of the SIGCHI conference on Human Factors in computing systems, page 751--760. New York, NY, USA, ACM, (2006)
- ICML '06: Proceedings of the 23rd international conference on Machine learning, page 665--672. New York, NY, USA, ACM, (2006)
- In Proc. of the A CL Workshop on lntentionality and Structure in Discourse, (1993)
