An SMS Spam Filtering System Using Support Vector Machine

被引：0
|
作者：
Joe, Inwhee [1 ]
Shim, Hyetaek [1 ]
机构：
[1] Hanyang Univ, Div Comp Sci & Engn, Seoul 133791, South Korea
来源：
FUTURE GENERATION INFORMATION TECHNOLOGY | 2010年 / 6485卷
关键词：
Spam filtering system; short messaging service; support vector machine; thesaurus;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper describes a powerful and adaptive spam filtering system for SMS (Short Messaging Service) that uses SVM (Support Vector Machine) and a thesaurus. The system isolates words from sample data using a pre-processing device and integrates meanings of isolated words using a thesaurus, generates features of integrated words through chi-square statistics, and studies these features. The system is realized in a Windows environment and its performance is experimentally confirmed.
引用
收藏
页码：577 / 584
页数：8
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