Comparison of Text Categorization Algorithms

被引：3
|
作者：
SHI Yong-feng
机构：
来源：
Wuhan University Journal of Natural Sciences | 2004年 / 05期
关键词：
text categorization; naive bayes; KNN; SVM; neural network;
D O I：
暂无
中图分类号：
TP391.1 [文字信息处理];
学科分类号：
081203 ; 0835 ;
摘要：
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.
引用
收藏
页码：798 / 804
页数：7
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