Hybrid Email Spam Detection Model Using Artificial Intelligence

• DOI: 10.18178/ijmlc.2020.10.2.937
• Publication Date: 2020-07-09T06:06:20Z
• Authors: Samira. Douzi; Feda A. AlShahwan; Mouad. Lemoudden; Bouabid. El Ouahidi
• Keywords: Bag-of-words model; Paragraph; Forum spam; Representation

The growing volume of spam Emails has generated the need for a more precise anti-spam filter to detect unsolicited Emails.One most common representations used in filters is Bag-of-Words (BOW).Although BOW very effective classification emails, it number weaknesses.In this paper, we present hybrid approach filtering based on Neural Network model Paragraph Vector-Distributed Memory (PV-DM).We use PV-DM build up compact representation context an email and also its pertinent features.This methodology represents comprehensive classifying Emails.Furthermore, have conducted empirical experiment using Enron Ling datasets, results which indicate that our proposed outperforms methods.