• DocumentCode
    2438129
  • Title

    Study on the Calculation of Text Similarity Based on Key-sentence

  • Author

    Dong, Hongni ; Zhao, Xiaohui ; Wu, Jiang ; Li, Yanfen

  • Author_Institution
    Coll. of Inf. Sci. & Technol., Northwest Univ., Xi´´an, China
  • fYear
    2010
  • fDate
    7-9 May 2010
  • Firstpage
    1952
  • Lastpage
    1955
  • Abstract
    To solve the problems of the slow speed and a great deal of memory demand appearing in text categorization, this paper explains Sentences Vector Space Model (SVSM), puts forward the method to calculate text similarity based on key sentences. Experiments show the better result.
  • Keywords
    text analysis; key sentence; memory demand; sentences vector space model; text categorization; text similarity; Classification algorithms; Gold; Semantics; Silicon; Support vector machine classification; Text categorization; Training; SVSM; VSM; key sentences; text categorization; text similarity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    E-Business and E-Government (ICEE), 2010 International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-0-7695-3997-3
  • Type

    conf

  • DOI
    10.1109/ICEE.2010.493
  • Filename
    5592757