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Naive Bayes Chinese text classification based on core words of class

YUAN Fang,YUAN Jun-ying   

  1. College of Mathematics and Computer Science, Hebei Univ., Baoding 071002, Hebei, China
  • Received:2006-03-29 Revised:1900-01-01 Online:2006-10-24 Published:2006-10-24
  • Contact: YUAN Fang

Abstract: Abstract:From the view of manual classification, words in title,abstract and key words are more important than others. A classification mode is advanced based on core words of class. This classification mode extracts core words from title, abstract and key words, and these core words' effect is strengthened via the mode of weight. The experiment of Naive Bayes classification indicates that this method can effectively improve classification precision of Chinese texts.

Key words: core words of the class , Naive Bayes classification, text classification

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