Text Spam Neural Network Classification Algorithm

摘要：

In order to effectively filter spam e-mails, this paper introduces a neural network-based spam filtering method, described text feature extraction, text vector generation, neural network classifier model building and testing. Verify through experiments that, choose different learning and training function, the network classification results are very diffenent.

作者: Qiuming Ma Zhiguang Qin Fengli Zhang Qiao Liu

作者单位: School of Computer Science & Engineering University of Electronic Science & Technology of China Chengdu, Sichuan, China

会议类型: 国际会议

会议名称: 2010 International Conference on Communications,Circuits and Systems(2010年通信、电路与系统国际会议)

会议地点: 成都

会议语种:英文

页码: 466-469

在线出版日期: 2010-06-28（万方平台首次上网日期，不代表论文的发表时间）