• DocumentCode
    3777220
  • Title

    A novel Chinese text topic extraction method based on LDA

  • Author

    Qihua Liu

  • Author_Institution
    School of Information Technology, Jiangxi University of Finance and Economics, Nanchang, China
  • Volume
    1
  • fYear
    2015
  • Firstpage
    53
  • Lastpage
    57
  • Abstract
    This paper proposed a novel Chinese text topic extraction method based on Latent Dirichlet Allocation model. This method was practiced in CCL, an authoritative Chinese corpus, to extract topics for its nine categories. Our results exhibit LDA has better performance in precision rate than any other comparable techniques.
  • Keywords
    "Filtering","Feature extraction","Data models","Resource management","Semantics","Mathematical model","Probabilistic logic"
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Network Technology (ICCSNT), 2015 4th International Conference on
  • Type

    conf

  • DOI
    10.1109/ICCSNT.2015.7490707
  • Filename
    7490707
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3777220