基于粗糙集的文本分类研究

ext Categorization is the key topic in many areas such as Information Retrieval, Data Mining and so on. In some currently used methods of text categorizing, the text is expressed by VSM, which causes a rather high dimension of eigenvector, which leads to the inefficiency of sort algorithm and unfavorable result. Rough set theory can reduce the dimensions of feature vector and get classification rules of explicit formulation without influencing the accuracy of text categorization. This paper aims to introduce the normal process of text categorizing, analyze the key procedures of employing rough set theory in Text Categorization, and summary the situation of employing Rough Set and other classification algorithm combined in Text Categorization.