Fei Yu, Ji-yao An, Hong Li, Miaoliang Zhu, Ouyang Yang
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Intelligence text categorization based on Bayes algorithm
Text categorization is the basic technology of information process, query and retrieval. This paper introduces some improvements of the Bayes categorization algorithm based on an advanced research on current algorithm. In addition, it considers the probable risk of mistaking the related text for unrelated one during the text categorization and puts forward a proposal of a text categorization model of minimal-risk Bayes decision. The results of our experiments prove that it promotes the precision of text categorization.
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