Automatic E-mail Classification Using Dynamic Category Hierarchy and Semantic Features

AbstractThe explosive increase in the use of e-mails has produced a large amount of information, and caused a problem in that many spam or regular e-mails with the same or similar contents are duplicated over and over day-to-day. We often group e-mails into categories in order to maintain e-mails efficiently. However, reading the e-mail messages and classifying them is still a tedious task. Moreover, the number of e-mails and its manual classification is increasing every day. So, e-mail users are demanding methods that can classify e-mails more and more efficiently. In this paper, we propose an e-mail multicategory classification and e-mail message reorganization method using semantic features and a dynamic category hierarchy reconstruction method. The proposed method in this paper classifies multicategory e-mails automatically and supports keyword and directory search methods in the classified results so that a large volume of e-mails can be managed efficiently. In addition, we used an interactive dynami...