Abstract
The selection of text feature selection method directly affects the accuracy of subsequent in text classification and clustering. This paper reviews 4 kinds of feature selection methods based on VSM include: supervised feature selection method, unsupervised feature selection method, feature selection based on TF-IDF and improvement, improved method based on ICTCLAS built-in noun patterns. We evaluate their advantages and disadvantages.
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