• DocumentCode
    2865757
  • Title

    Chinese Text Classification Based on Summarization Technique

  • Author

    Jiang, Xiao-Yu ; Fan, Xiao-Zhong ; Chen, Kang

  • Author_Institution
    Beijing Inst. of Technol., Beijing
  • fYear
    2007
  • fDate
    29-31 Oct. 2007
  • Firstpage
    362
  • Lastpage
    365
  • Abstract
    Two approaches to text classification based on summarization technique are proposed: in the first approach, the heuristic rules of auto-summarization are used to select and weight features for every category, and texts are classified by these features; in the second approach, the text summarization is directly used for classification instead of the original text. Experimental results show that the combination of summarization technology and classification technology can not only reduce the time of feature selection and classification but also improve the performance of text classification.
  • Keywords
    abstracting; classification; feature extraction; natural language processing; text analysis; Chinese text classification; auto-summarization; feature selection; heuristic rules; text summarization; Clothing; Computer science; Data mining; Feature extraction; Robustness; Statistical analysis; Testing; Text categorization; Web pages;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semantics, Knowledge and Grid, Third International Conference on
  • Conference_Location
    Shan Xi
  • Print_ISBN
    0-7695-3007-9
  • Electronic_ISBN
    978-0-7695-3007-9
  • Type

    conf

  • DOI
    10.1109/SKG.2007.68
  • Filename
    4438570