• DocumentCode
    170399
  • Title

    A survey of Internet public opinion mining

  • Author

    Kaijie Guo ; Liang Shi ; Weilong Ye ; Xiang Li

  • Author_Institution
    Software Sch., Xiamen Univ., Xiamen, China
  • fYear
    2014
  • fDate
    16-18 May 2014
  • Firstpage
    173
  • Lastpage
    179
  • Abstract
    Nowadays Internet has become a major public opinion formation and diffusion platform. How to acquire the public hotspots and trends by collecting and analyzing the massive data on the Internet is an important research topic in public opinion analysis. In this paper, we firstly introduce the definition and framework of Internet public opinion mining, then focus on the comparison and analysis of key techniques used in different layers, and finally make a summary and outlook.
  • Keywords
    Internet; data analysis; data mining; Internet; diffusion platform; massive data analysis; public hotspots; public opinion formation; public opinion mining; Accuracy; Algorithm design and analysis; Data mining; Internet; Semantics; Web pages; opinion mining; public opinion; sentiment analysis; topic detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Progress in Informatics and Computing (PIC), 2014 International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4799-2033-4
  • Type

    conf

  • DOI
    10.1109/PIC.2014.6972319
  • Filename
    6972319