Reference Hub4
Exploring Societal Risk Classification of the Posts of Tianya Club

Exploring Societal Risk Classification of the Posts of Tianya Club

Jindong Chen, Xijin Tang
Copyright: © 2014 |Volume: 5 |Issue: 1 |Pages: 13
ISSN: 1947-8208|EISSN: 1947-8216|EISBN13: 9781466655492|DOI: 10.4018/ijkss.2014010104
Cite Article Cite Article

MLA

Chen, Jindong, and Xijin Tang. "Exploring Societal Risk Classification of the Posts of Tianya Club." IJKSS vol.5, no.1 2014: pp.36-48. http://doi.org/10.4018/ijkss.2014010104

APA

Chen, J. & Tang, X. (2014). Exploring Societal Risk Classification of the Posts of Tianya Club. International Journal of Knowledge and Systems Science (IJKSS), 5(1), 36-48. http://doi.org/10.4018/ijkss.2014010104

Chicago

Chen, Jindong, and Xijin Tang. "Exploring Societal Risk Classification of the Posts of Tianya Club," International Journal of Knowledge and Systems Science (IJKSS) 5, no.1: 36-48. http://doi.org/10.4018/ijkss.2014010104

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

To identify the societal risk category of the posts of Tianya Club, several studies are carried out toward the posts of Tianya Club. With 2-month manually risk labeled new posts published during December of 2011 to January of 2012, statistical analysis of posts is conducted at first. Later, similarity analysis of posts from one risk category, different risk categories and published on different days are implemented. Finally, multi-class classification of posts using support vector machine (SVM) with different training set is tested. The statistical analysis and similarity analysis reveals the difficulties in multi-class classification of the posts of Tianya Club. The multi-class predictive results indicate that SVM could be applied to multi-class classification of posts, but still need further exploitation.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.