计算机工程与应用2012，Vol.48Issue(1)：166-169,4.DOI:10.3778/j.issn.1002-8331.2012.01.047
文本分类中基于概念映射的二次特征降维方法
Mixed method of feature reduction based on concept mapping in text classification
摘要
Abstract
Reducing the high dimension of feature vectors is an important issue in text classification. After studying current technique of feature reduction, a new method based on concept mapping is proposed. A subset of features is selected by traditional method of feature selection. Every feature in subset is mapped into the semantic dictionary and then selected again. The approach can not only get rid of redundant features but also preserve the semantic information of text. The results of experiments show that this method has improved effectively the precision of the text classification.关键词
文本分类/特征降维/特征选择/概念映射/《知网》Key words
text classification/feature reduction/feature selection/concept mapping/HowNet分类
信息技术与安全科学引用本文复制引用
熊忠阳,付玲玲,张玉芳..文本分类中基于概念映射的二次特征降维方法[J].计算机工程与应用,2012,48(1):166-169,4.基金项目
重庆市科委基金资助(CSTC,No.2008BB2191). （CSTC,No.2008BB2191）
