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Comparison of text categorization algorithms
Authors:Shi?Yong-feng  Email author" target="_blank">Zhao?Yan-pingEmail author
Institution:(1) School of Management and Economics, Beijing Institute of Technology, 100081 Beijing, China
Abstract:This paper summarizes several automatic text categorization algorithms in common use recently, analyzes and compares their advantages and disadvantages. It provides clues for making use of appropriate automatic classifying algorithms in different fields. Finally some evaluations and summaries of these algorithms are discussed, and directions to further research have been pointed out.
Keywords:text categorization  naive bayes  KNN  SVM  neural network
本文献已被 CNKI 维普 万方数据 SpringerLink 等数据库收录!
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