Summary of Text Feature Selection Method Based on VSM

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.