Abstract:The illicit web content such as pornography, violence, gambling, etc. have greatly poUuted the mind of immature web users. Pornography perhaps is one of the biggest threats related to current children's and teenagers' healthy mental life. A proper way to identify iUicit web pages efficiently is highly desired. In this paper, we analyze the textual content of web pages such as pornography, gynecology, sex education and general business news using independent component analysis (ICA) algorithm. We establish thre… Show more
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