1. SURVEY OF E-MAIL CLASSIFICATION: REVIEW AND OPEN ISSUES
- Author
-
Ekhlas Ghaleb Abdulkadhim and Muqdad Abdulraheem Hayder
- Subjects
machine learning techniques ,email classification ,spam detection ,multi-folder categorization ,phishing detection ,Technology - Abstract
Email is an economical facet of communication, the importance of which is increasing in spite of access to other approaches, such as electronic messaging, social networks, and phone applications. The business arena depends largely on the use of email, which urges the proper management of emails due to disruptive factors such as spams, phishing emails, and multi-folder categorization. The present study aimed to review the studies regarding emails, which were published during 2016-2020, based on the problem description analysis in terms of datasets, applications areas, classification techniques, and feature sets. In addition, other areas involving email classifications were identified and comprehensively reviewed. The results indicated four email application areas, while the open issues and research directions of email classifications were implicated for further investigation.
- Published
- 2020
- Full Text
- View/download PDF