• DocumentCode
    1806013
  • Title

    Research of Internet public opinion based on data mining

  • Author

    Xuren, Wang ; Bei, Song ; Shuo, Yang

  • Author_Institution
    Inf. Eng. Coll., Capital Normal Univ., Beijing, China
  • Volume
    4
  • fYear
    2011
  • fDate
    24-26 Dec. 2011
  • Firstpage
    2414
  • Lastpage
    2418
  • Abstract
    To investigate the issue of the Internet public opinion mining. To show how to get web page information from the Internet, purify and convert the web page to appropriate format processed by computer. To find topic based on a new clustering algorithm which need not calculate all similarity and is more effective than the traditional clustering algorithm. At last discuss the hotspot detection and tracking technology.
  • Keywords
    Internet; data mining; pattern clustering; Internet public opinion; Web page information; clustering algorithm; data mining; hotspot detection; tracking technology; Navigation; Vectors; Internet public opinion; hotspot detection; text clustering; vector space model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Network Technology (ICCSNT), 2011 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4577-1586-0
  • Type

    conf

  • DOI
    10.1109/ICCSNT.2011.6182458
  • Filename
    6182458