TEXT CLASSIFICATION FOR CHINESE WEB DOCUMENTS

  • Ming Hu
  • Jianchao Xu
  • Liang Hu
Conference paper

Abstract

Although many methods for feature selection and text classification have been applied to English web documents, relatively few studies have been done on Chinese web documents. This paper introduces a term weighting method based on inverse document frequency, html tags and length of Chinese phrase, provides an algorithm for web text classification based on improving on lattice machine approach. The experiments show this method is effective in feature reduction and text classification.

Keywords

Agro 

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Copyright information

© Springer 2006

Authors and Affiliations

  • Ming Hu
    • 1
    • 2
  • Jianchao Xu
    • 1
    • 2
  • Liang Hu
    • 1
  1. 1.School of Computer Science & EngineeringChangchun University of TechnologyChangchunChina
  2. 2.Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of EducationJilin UniversityChangchunChina

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