An efficient approach for mining web content sensitivity
by Cheng Wang, Ying Liu, Liheng Jian, Peng Zhang
International Journal of Knowledge and Web Intelligence (IJKWI), Vol. 1, No. 1/2, 2009

Abstract: Abnormal remarks on the web, such as violence, threat, superstition, etc., may disturb the social order and public morality (referred as sensitive content). To provide a quantitative measure of the sensitivity of a webpage, we propose the concept of web content sensitivity which measures how sensitive a page is. We also propose a web content sensitivity mining approach. Our experiment identified a number of sensitive webpages that traditional frequency-based methods failed to find. By varying the sensitive values of the keywords, different sets of high sensitivity keywords were discovered as well as the corresponding webpages.

Online publication date: Wed, 19-Aug-2009

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