Design And Implementation Of Mail Filtering System Based On Text Mining

With the rapid development of the Internet and the popularity of the Internet,the wide application of e-mail has brought us considerable convenience in production and life,but it also brings a lot of risks to the convenience.The security of e-mail has also attracted people's attention,especially It is in the unit with high security level.For the mail security problem,this paper uses text mining method,Bayesian algorithm as the theoretical basis,and applies the theory application engineering to design and implement the mail security filtering system based on Bayesian algorithm.The filtering problem of classified emails is actually the classification problem of emails.Applying text mining technology to email filtering is actually using statistical methods to classify emails.The mail filtering system using text mining has obtained a good filtering effect in the application of English mail.The Chinese word segmentation module is added in the system,and the filtering function module based on Chinese mail is designed and implemented,and the filtering effect is better.This paper first introduces the research background,significance and research phenomena at home and abroad,then introduces the knowledge of text mining,provides basic technical knowledge for designing mail filtering system,and secondly,the method of mail preprocessing,which is the mail filtering system.The design provides the basis of the theory.Finally,the design of the mail filtering system and the implementation of the filtering system are introduced.The confidential mail filtering system designed in this paper is tested experimentally.