Evaluating the priority of email using machine learning
International Journal of Emerging Trends in Engineering Research · 2020
E-mail is an application that is widely used worldwide to help shorten the time, distance, and cost of the mailing process.In this paper, we propose a method of evaluating the role and importance of emails based on the process of analyzing and evaluating the content of emails.Our approach is based on Natural Language Processing and machine learning algorithms to classify emails into important or unimportant.Accordingly, our method is based on 2 main techniques: i) Processing and clustering of keywords in email.For this process, we will use data clustering algorithms.ii) Evaluating email content.For this process, we will use a supervised machine learning algorithm.The research results shown in the paper will provide email systems with a way to identify and classify important emails in order to assist users in sending and receiving emails.