中文摘要：

提出了一种基于SVM的中文邮件过滤方法,通过构造最优的支持向量机（Support Vector Machine,SVM）过滤模型,有效地提高了垃圾邮件的过滤精度,实验结果超过了网易免费邮所公布的过滤指标.

英文摘要：

An approach for Chinese email filtering based on support vector machine （SVM） was introduced. By constructing an optimal filtering model based on SVM,the approach can greatly improve the correct rejection rate of filtering spam. Simulation results demonstrate that some common used filtering factors of the presented approach can exceed those published by NetEase Free E-mail.