基于贝叶斯文本分类算法的垃圾短信过滤系统

Spam Filtering System Based on Bayes Text Classificaiton Algorithm

目前,手机短信成为了人们所喜爱的一种通信方式,同时也成为了商业广告或诈骗信息的载体,对人们的生活,甚至对社会的安定造成了严重的威胁。因此本文采用贝叶斯文本分类算法对垃圾短信进行了分类,进而实现其过滤,并结合黑白名单技术模拟实现了一垃圾短信过滤系统。通过测试,该系统不仅能较为准确的实现对垃圾短信的过滤,还能减少对合法短信的误判率。

At present, SMS（Short Message Service） has become a favourite communication way for people. Meanwhile, SMS has become a carrier of commercial advertisement and fraud information too. Thereby these spam messages have brought serious threat for people＇s life and even social stability. So the Bayes text classification algorithm is adopted to classify the spam message, and even to achieve its filtering. And a spam filtering system is simulatively implemented combined with black and white list technology. Through test, this system can not only accurately achieves the spam filtering, but also reduce the misjudgment rate for legal texts.