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一种改进的相对熵特征选择方法

王辉 张成锁 卓呈祥

计算机工程2011,Vol.37Issue(10):167-169,3.
计算机工程2011,Vol.37Issue(10):167-169,3.DOI:10.3969/j.issn.1000-3428.2011.10.057

一种改进的相对熵特征选择方法

Improved Feature Selection Method for Relative Entropy

王辉 1张成锁 1卓呈祥1

作者信息

  • 1. 北京康凯信息咨询有限公司,北京,100007
  • 折叠

摘要

Abstract

This paper proposes a new feature selection method based on relative entropy for feature selection, which is one of the key technologies in text categorization. Based on that text category is decided by limited keywords, this paper uses relative entropy to select the words distinguishing effectively between one category and another. Experimental results show that the proposed method can effectively reduce feature dimension and improve precision rate.

关键词

特征选择/相对熵/文本分类/语料库

Key words

feature selection/ relative entropy/ text categorization/ corpus

分类

自科综合

引用本文复制引用

王辉,张成锁,卓呈祥..一种改进的相对熵特征选择方法[J].计算机工程,2011,37(10):167-169,3.

计算机工程

OACSCDCSTPCD

1000-3428

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