• DocumentCode
    3353969
  • Title

    Research on the Identification of Opinion Topic Expressed in Chinese Network Reviews

  • Author

    Lin Chen ; Li Bi-Cheng ; Zhou Jie

  • Author_Institution
    Inf. Process. Dept., Inf. Technol. Inst., Zhengzhou, China
  • Volume
    1
  • fYear
    2009
  • fDate
    28-30 Oct. 2009
  • Firstpage
    553
  • Lastpage
    557
  • Abstract
    Opinion analysis of network reviews provides a channel to find out the viewpoint of the common people in time, and opinion topic identification, as a significant part of opinion analysis, is aimed to identify the objects for the expressed opinions. This paper proposes an opinion topic identification algorithm in independent domain. The algorithm, based on the mode of opinion topic generation in network reviews, employs the process to identify the topics from inner to outer, and the process is finished through four-step procedure: inner topic word identification, inner topic constitution, outer topic identification, and topic organization. Experiment in real network reviews corpus proves that the algorithm can identify opinion topic in network reviews effectively.
  • Keywords
    natural language processing; Chinese network reviews; inner topic constitution; inner topic word identification; opinion topic generation; opinion topic identification algorithm; outer topic identification; topic organization; Association rules; Automobiles; Computer science; Constitution; Government; Information analysis; Information processing; Information technology; Itemsets; Ontologies;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Engineering, 2009. WCSE '09. Second International Workshop on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-0-7695-3881-5
  • Type

    conf

  • DOI
    10.1109/WCSE.2009.730
  • Filename
    5403407