Abstract: A wide range of methods for feature selection have been applied to English Web documents, relatively few studies have been done on Chinese Web documents. This paper gives a term weighting method based on inverse document frequency, HTML tags and length of Chinese phrase, presents the method to select Web text feature based on the messy genetic algorithm. The experiments show that the method is resultful .

摘要： 已有许多方法用于英文网页的特征抽取,相对而言适合于中文网页的方法还不多。该文设计了一个综合考虑位置、频率和词长3个因素的中文Web文本词权重的计算公式,提出了一种用变长度染色体遗传算法提取Web文本特征的方法。实验表明该方法在降低特征矢量维数方面是有效的。

关键词: Web挖掘, 遗传算法, 特征抽取

CLC Number: 

• TP391.1