user- on learning hierarchical structures
- by H. Maurer
- by Susan Leigh Star
- also see "Tag Based Model for Knowledge Sharing in Agent Society"
- comparative analysis of clickstream from Twitter
- 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.
- by Ron Kohavi
- Proceedings of the 12th international conference on Intelligent user interfaces, page 32--41. New York, NY, USA, ACM, (2007)
- Journal of the American Society for Information Science and Technology (2009)
- Decision Support Systems 47(3):245--253 (2009)
- HT '09: Proceedings of the Twentieth ACM Conference on Hypertext and Hypermedia, New York, NY, USA, ACM, (July 2009)
- Journal of the American Society for Information Science 30(4):205--214 (1979)
- The Semantic Web - ISWC 2008 (2008)
- SIAM Review (2008)to appear accepted June 2008 .
- SIGIR conference on Research and development in information retrieval, page 213--220. Toronto, ACM, (2003)
- IEEE Intelligent Systems 22(2):79--83 (2007)
- ICSEA '07: Proceedings of the International Conference on Software Engineering Advances, page 68. Washington, DC, USA, IEEE Computer Society, (2007)
- Presented at the SIAM Conference on Discrete Mathematics, (2006)
- Software, IEEE 14(5):67--74 (1997)
- Computational Linguistics 30(1):95--101 (2004)
- (July 2007)Simple description of Twitter .
- Journal of the American Society for Information Science and Technology JASIST 56(6):559-570 (2005)
- AI Communications 20(4):245 - 262 (2007)
- Information Processing and Management 44(3):1251--1266 (2008)
- Proceedings of the Sixth International Conference on Data Mining (2006)
- Computer 23(4):65--71 (1990)
- MIT Media Laboratory, Massachusetts Institute of Technology, Cambridge, MA, (2005)
