Computer Engineering and Applications ›› 2007, Vol. 43 ›› Issue (12): 155-158.

• 数据库与信息处理 • Previous Articles     Next Articles

Reference Algorithm of Text Categorization Based on Fuzzy Cognitive Maps

GuiYun Zhang Yang Liu   

  • Received:2006-05-22 Revised:1900-01-01 Online:2007-04-20 Published:2007-04-20
  • Contact: GuiYun Zhang

基于模糊认知图的文本分类推理算法

张桂芸 刘洋 王元元   

  1. 天津师范大学主校区计算机与信息工程学院
  • 通讯作者: 张桂芸

Abstract: Text categorization is an important direction of information processing, and now the categorization based on statistics computation is widely applied. This paper introduces the reference theory and algorithm of text categorization by using fuzzy cognitive map, which is based on value inference and can be able to infer by combing rule and statistics. This method is flexible and robust, and we do not need train the corpus time after time,it suits for the text categorization insufficiency train and new subject and multi-classification

Key words: text categorization, fuzzy cognitive map, reference algorithm

摘要: 文本分类是信息处理的重要研究方向。现在应用较多的是基于统计计算的分类方法。本文介绍了利用模糊认知图的文本分类推理理论与算法,该方法是基于数值推理的,实现将统计与规则融合推理,灵活性较大,不需要语料的多次训练,适合于训练不充分和新主题的文本分类和多类分类,并具有一定的鲁棒性。

关键词: 文本分类, 模糊认知图, 推理算法