• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2010, Vol. 32 ›› Issue (6): 106-108.doi: 10.3969/j.issn.1007130X.2010.

• 论文 • Previous Articles     Next Articles

Appropriateness in Applying SVMs to Text Classification

LIU Xiaoliang1,DING Shifei1,2,ZHU Hong1,ZHANG Liwen1   

  1. (1.School of Computer Science and Technology,China University of Mining and Technology,Xuzhou 221008;
    2.Key Laboratory of Intelligent Information Processing,Institute of Computing Technology,
    Chinese Academy of Sciences,Beijing 100080,China)
  • Received:2009-09-17 Revised:2009-12-11 Online:2010-06-01 Published:2010-06-01

Abstract:

This paper introduces the key properties of text classification from a statistical perspective, gives the corresponding statistical classification model of text document sets which is combined with SVMs, and explains why SVMs perform well for text classification. This paper explains the appropriateness in  applying SVMs to text classification primarily from a theoretical perspective, so the model is very simple, high abstract and noiseless.

Key words: text classification;SVM;machine learning

CLC Number: