• DocumentCode
    1572057
  • Title

    Optimizing Text Summarization Based on Fuzzy Logic

  • Author

    Kyoomarsi, Farshad ; Khosravi, Hamid ; Eslami, Esfandiar ; Dehkordy, Pooya Khosravyan ; Tajoddin, Asghar

  • Author_Institution
    Islamic Azad Univ., Tehran
  • fYear
    2008
  • Firstpage
    347
  • Lastpage
    352
  • Abstract
    In this paper we first analyze some state of the art methods for text summarization. We discuss what the main disadvantages of these methods are and then propose a new method using fuzzy logic. Comparisons of results show that our method beats most methods which use machine learning as their core.
  • Keywords
    abstracting; fuzzy logic; text analysis; fuzzy logic; state-of-the-art methods; text summarization; Automatic generation control; Data mining; Fuzzy logic; Fuzzy systems; Information analysis; Information science; Internet; Machine learning; Natural language processing; Optimization methods; Fuzzy Logic; Learning Machine; Text Summarization; Vector Method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Science, 2008. ICIS 08. Seventh IEEE/ACIS International Conference on
  • Conference_Location
    Portland, OR
  • Print_ISBN
    978-0-7695-3131-1
  • Type

    conf

  • DOI
    10.1109/ICIS.2008.46
  • Filename
    4529844
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1572057