Thought Bubbles

作者: Patrick Thonhauser , Selver Softic , Martin Ebner

DOI: 10.1145/2362456.2362496

关键词:

摘要: The concept of so called Thought Bubbles deals with the problem finding appropriate new connections within Social Networks, especially Twitter. As a byproduct exploring users, Tweets are classified and rated used to generate kind news feed, which will extend personal Twitter feed. Each user has several interests that can be by first evaluating their then related already existing contacts. By categorizing connections, one placed in an imaginary category specific subset Bubbles. Following trace people who also active same Bubble, should reveal interesting helpful between similar minded users.

参考文章(16)
Gordon Rios, Hongyuan Zha, Exploring Support Vector Machines and Random Forests for Spam Detection. conference on email and anti-spam. ,(2004)
Peter Kraker, Claudia Wagner, Fleur Jeanquartier, Stefanie Lindstaedt, On the way to a science intelligence: visualizing TEL tweets for trend detection european conference on technology enhanced learning. pp. 220- 232 ,(2011) , 10.1007/978-3-642-23985-4_18
Yuji Matsumoto, Taku Kudo, Tetsuji Nakagawa, Unknown Word Guessing and Part-of-Speech Tagging Using Support Vector Machines. NLPRS. pp. 325- 331 ,(2001)
David Laniado, Peter Mika, Making sense of twitter international semantic web conference. pp. 470- 485 ,(2010) , 10.1007/978-3-642-17746-0_30
Laurens De Vocht, Selver Softic, Martin Ebner, Herbert Mühlburger, Semantically driven social data aggregation interfaces for Research 2.0 Proceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies - i-KNOW '11. pp. 43- ,(2011) , 10.1145/2024288.2024339
Steven P. Abney, Parsing By Chunks Studies in Linguistics and Philosophy. pp. 257- 278 ,(1991) , 10.1007/978-94-011-3474-3_10
Sharon Goldwater, Tom Griffiths, A fully Bayesian approach to unsupervised part-of-speech tagging meeting of the association for computational linguistics. pp. 744- 751 ,(2007)
Chih-Jen Lin, Chih-Wei Hsu, Chih-Chung Chang, A Practical Guide to Support Vector Classication 臺北市:國立臺灣大學資訊工程學系. ,(2008)
Jilin Chen, Werner Geyer, Casey Dugan, Michael Muller, Ido Guy, Make new friends, but keep the old: recommending people on social networking sites human factors in computing systems. pp. 201- 210 ,(2009) , 10.1145/1518701.1518735
Alan Ritter, Sam Clark, Mausam, Oren Etzioni, Named Entity Recognition in Tweets: An Experimental Study empirical methods in natural language processing. pp. 1524- 1534 ,(2011)