Spam Messages Filtering System based on SVM
Yanping Zhang · Computers & Security · 2012
The traditional scheme to filter spam messages is generally based on the occurrence of sensitive words in them,but ignores the contribution made to the classification by words appearing in normal messages.And the flexibility of message phrases renders feature extraction rather difficult.This text presents a scheme to superintend and filter spam messages on the basis of SVM algorithm.This scheme expresses the text in way of vector space with reference to features like the content and length of messages.And it uses the method of machine learning to judge and filter spam messages.Compared with traditional schemes,this system performs better in terms of filtering efficiency and accuracy.