E-mail classification and filtering based on neural network
Xiang Jing · Jisuanji gongcheng yu sheji · 2006
Now electronic mail(E-mail) is widelyused,Which has becomeone of the most important forms ofcommunication available,at the same time junk mail is quickly becoming a serious problem.An E-mail classifying and filtering method is given.Modeled as semi-structured documents,E-mail messagesconsist of a setof fields with predefined semantics anda number ofvariable length free-text fields.By dealing with both of them,higher accuracy is obtained.First,E-mail is dealt with and features vector are got.Then method based on neural network is used to classify and filter personal E-mails.The result showed that the classifier can perform filtering with reasonable accuracy.