Study on the Method of Feature Selection Based on Hybrid Model for Text Classification

被引：4

作者：

Li, Runzhi ^{[1
]}

Zhang, Yangsen ^{[1
]}

机构：

[1] Beijing Informat Sci & Technol Univ, Inst Intelligence Informat Proc, Beijing 100192, Peoples R China

来源：

MATERIALS SCIENCE AND INFORMATION TECHNOLOGY, PTS 1-8 | 2012年 / 433-440卷

关键词：

feature selection; text classification; hybrid model; Naive Bayes;

D O I：

10.4028/www.scientific.net/AMR.433-440.2881

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In this paper, we study on the problem of how to combine feature selection models in text classification,and present a method through build the hybrid model for feature selection,this hybrid model combined with advantage of four feature selection models (DF,MI, IG, CHI), then we use the Naive Bayes model as classifier to verify the effect of the hybrid feature selelction model,and experiments shows that the hybrid model is correct and effective and get good performance in text classification.

引用

页码：2881 / 2886

页数：6

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