Automatic Classification and Response of E-mails
Awatef Aloui, Mahmoud Néji · International Journal for Digital Society · 2010
With the fast development of Information Communication Technologies, the electronic mail has evolved as a convenient medium of communication and interactivity. In E-learning domain, tutors spend much time to process a large amount of e-mails. The focus of this paper is to propose a multi-agents system called EQASTO (Emails Question AnsweringSystem using Text-mining and Ontological techniques) that is able to relieve the burden of e-mails processing.For this purpose, a combination of text-mining and ontological techniques will be useful to mine and classify semantically e-mails, fetch, generate, and send answers automatically to learners.