计算机工程与科学2012，Vol.34Issue(6)：140-145,6.DOI:10.3969/j.issn.1007-130X.2012.06.028
基于词间关系分析的文本特征选择算法
A Text Feature Selection Algorithm Based on Analysing the Relationship Between Words
摘要
Abstract
The traditional feature selection algorithms usually select features distinguishing the different types of documents by the evaluation functions. However, these methods take the separate word as unit to establish a vector space model. The important words in the documents and the relationship between words are not realized. In allusion to the disadvantages mentioned above, a new feature selection algorithm based on the relationship between words is presented. This algorithm considers key words, mines words' association and checks these association rules by a correlation analysis to produce a feature space which closely relates to the category attributes. The experiment indicates that this method is better to express the semantic content of the documents and has a good categorization result.关键词
词间关系/特征选择/关联规则/文本分类Key words
relationship between words/ feature selection/ association rules text categorization分类
信息技术与安全科学引用本文复制引用
吴双,张文生,徐海瑞..基于词间关系分析的文本特征选择算法[J].计算机工程与科学,2012,34(6):140-145,6.基金项目
国家自然科学基金资助项目(90924026) （90924026）
