Myanmar Spam Filtering using Bayesian Model

Abstract

Internet has become rich of information. This information should be properly managed. Electronic mail (E-mail) has become a major problem for internet users and providers. People are using e-mail services but most of the e-mails are irrelevant or junk called spams. Spam e-mail is well known problem for both corporate and personal users of e-mail. The volume of non-English language spam is increasing day by day. The motivation for this research is to find a solution for the internet users in the Myanmar language with Myanmar e-mail messages received every day in their mailboxes. So, a classification filter for these e-mails should be applied on e-mail servers. Bayesian approach is being popular for filtering spams. This approach is based on the bayes method. To filter the spam messages, this research applied Bayesian model for the framework of Myanmar e-mail spam filtering. In this paper, we are presenting e-mail mining and bayesian spam filtering method.