• DocumentCode
    1973964
  • Title

    Research on Network Chinese Pornography Characteristic and Corresponding Filtering System´s Model

  • Author

    Peng, Yu-zhong

  • Author_Institution
    Key Lab. of Sci. Comput. & Intell. Inf. Process., Universities of Guangxi, Nanning, China
  • fYear
    2010
  • fDate
    20-22 Aug. 2010
  • Firstpage
    1
  • Lastpage
    4
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • 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
  • Type

    conf

  • DOI
    10.1109/ITAPP.2010.5566095
  • Filename
    5566095