Los Angeles, CA
March 31, 2009 to April 2, 2009
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSIE.2009.240
Traditional automatic classifiers often conduct misclassifications. Folksonomy, a new manual classification scheme based on tagging efforts of users with freely chosen keywords can effective resolve this problem. Even though the scalability of folksonomy is much higher than the other manual classification schemes, the method cannot deal with tremendous number of items such as whole weblog articles on the Internet. For the purpose of solving this problem, we propose a new classification method named FSVMC(folisonomy and support vector machine classifier).The FSVMC uses support vector machines as a Tagagent which is a program to determine whether a particular tag should be attached to a weblog page and Folksonomy dedicates to categorize the weblog articles. Experimental results indicate our method is more flexible and effective than traditional methods.
Rujiang Bai, Junhua Liao, "Folksonomy for the Blogosphere: Blog Identification and Classification", CSIE, 2009, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009, pp. 631-635, doi:10.1109/CSIE.2009.240