• DocumentCode
    503979
  • Title

    The Topic Similarity Computation Model Based Information Granularity

  • Author

    Liyong, Xu ; Yanrong, Dong ; Na, Xu ; Caiyan, Pei ; Liwei, Gu ; Yan, Kang

  • Author_Institution
    Hebei Normal Univ. of Sci. & Technol., Qinhuangdao, China
  • Volume
    2
  • fYear
    2009
  • fDate
    19-21 May 2009
  • Firstpage
    12
  • Lastpage
    15
  • Abstract
    Topic similarity computation model is a research hotspot in fields of information retrieval and text classification, etc. From the view of information granularity, this paper integrates traditional content topic identification with event topic identification, and presents a new topic similarity computation model, i.e., first carrying out content identification, secondly event identification. Finally, the model is evaluated by experiments.
  • Keywords
    information retrieval; text analysis; content topic identification; event topic identification; information granularity; information retrieval; text classification; topic similarity computation model; Computational modeling; Concept Space; Information Extraction; Information Granularity; TDT; Topic Identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering, 2009. WCSE '09. WRI World Congress on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-0-7695-3570-8
  • Type

    conf

  • DOI
    10.1109/WCSE.2009.21
  • Filename
    5319717
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=503979