关键词: 垃圾邮件, 支持向量机, 序列最小优化算法, 分类时间

Abstract: Content-based filtering is one of the mainstream technologies used so far.In view of which the essence of spam filter is the classify problem，this paper aims to provide a kind of filter method against spam based on SVM，and tries to adopt SMO algorithm to categorize the spam.Through the experiment，SMO algorithm can perform better，and the classification time of SVM classifier is reduced greatly.

Key words: spam, Support Vector Machine（SVM）, Sequential Minimal Optimization（SMO）, classification time