• DocumentCode
    684417
  • Title

    A multi feature fusion clustering algorithm based on Q&A community

  • Author

    Diandian Qian ; Yonghua Li ; Yueming Lu

  • Author_Institution
    Key Laboratary of Trustworthy Distributed Computing and Service, Ministry of Education, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, China 100876
  • fYear
    2013
  • fDate
    23-23 Nov. 2013
  • Firstpage
    509
  • Lastpage
    513
  • Abstract
    In this paper, a multi feature fusion clustering algorithm based on the Q&A community is presented, which to extract the candidate label by performing clustering on the Q-A pairs. It is proposed to combine TF/IDF, context information entropy, word length as feature to extract, select and score keywords. The experiment not only confirms effectiveness the compared with the traditional system, but also validates the precision of the multi feature fusion model.
  • Keywords
    Clustering; Feature Fusion; Q&A community; TF/IDF;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Cyberspace Technology (CCT 2013), International Conference on
  • Conference_Location
    Beijing, China
  • Electronic_ISBN
    978-1-84919-801-1
  • Type

    conf

  • DOI
    10.1049/cp.2013.2084
  • Filename
    6748643
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=684417