Convolutional Autoencoder for Email Spam Detection

Abstract

In this paper, I talk about a novel technique for email spam detection. Using the extremely adept pattern recognition abilities of Autoencoders, I designed a Convolutional Autoencoder network to analyze and classify emails as either ham (legitimate) or spam (illegitimate/scam) emails. With promising results, this type of model could help revolutionize email spam detection and tagging, making everyone’s inbox less crowded with emails they don’t want to read