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http://dx.doi.org/10.3745/KIPSTB.2009.16-B.1.85

Harmful Document Classification Using the Harmful Word Filtering and SVM  

Lee, Won-Hee (전북대학교 컴퓨터공학과)
Chung, Sung-Jong (전북대학교 전자정보공학부)
An, Dong-Un (전북대학교 전자정보공학부)
Publication Information
The KIPS Transactions:PartB / v.16B, no.1, 2009 , pp. 85-92 More about this Journal
Abstract
As World Wide Web is more popularized nowadays, the environment is flooded with the information through the web pages. However, despite such convenience of web, it is also creating many problems due to uncontrolled flood of information. The pornographic, violent and other harmful information freely available to the youth, who must be protected by the society, or other users who lack the power of judgment or self-control is creating serious social problems. To resolve those harmful words, various methods proposed and studied. This paper proposes and implements the protecting system that it protects internet youth user from harmful contents. To classify effective harmful/harmless contents, this system uses two step classification systems that is harmful word filtering and SVM learning based filtering. We achieved result that the average precision of 92.1%.
Keywords
Harmful Word; Classification; SVM; Filtering; Web Document;
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Times Cited By KSCI : 2  (Citation Analysis)
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