Title :
Research on Network Chinese Pornography Characteristic and Corresponding Filtering System´s Model
Author_Institution :
Key Lab. of Sci. Comput. & Intell. Inf. Process., Universities of Guangxi, Nanning, China
Abstract :
At present,the internet pornographic text is in varied forms and changeful, although it is prohibited ever. It severely harms people´s mental and physical health development and social stability. There are IP-based,keyword-based and intelligent content analysis filtering system against it today. But they are difficult to deal with manifestations of diversity, changeful, and increasingly concealed porn. In this paper, a in-depth research has done for the appeared characteristics of such undesirable information on our statistical analysis. And based on this characteristics, a new text pre-processing algorithm PA-PTCI is proposed, and a effective model combined with content filtering technology to the current text information filtering pornography problem is designed. The experimental result shows the PA-PTCI algorithm and the model of Chinese pornography text filtering are quite effective.
Keywords :
Internet; content management; information filtering; text analysis; Chinese pornography text filtering; Internet pornographic text; PA-PTCI algorithm; content filtering technology; filtering system model; intelligent content analysis filtering system; mental health development; physical health development; social stability; statistical analysis; text information filtering; text preprocessing algorithm; undesirable information; Artificial intelligence; Computational modeling; Educational institutions; Information filtering; Internet; Support vector machines;
Conference_Titel :
Internet Technology and Applications, 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5142-5
Electronic_ISBN :
978-1-4244-5143-2
DOI :
10.1109/ITAPP.2010.5566095