TEXT CLASSIFICATION FOR CHINESE WEB DOCUMENTS
Although many methods for feature selection and text classification have been applied to English web documents, relatively few studies have been done on Chinese web documents. This paper introduces a term weighting method based on inverse document frequency, html tags and length of Chinese phrase, provides an algorithm for web text classification based on improving on lattice machine approach. The experiments show this method is effective in feature reduction and text classification.
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