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E-Mail Spam Detection using Machine Learning and Deep Learning
2020
International Journal for Research in Applied Science and Engineering Technology
Here we present an inclusive review of recent and successful content-based e-mail spam filtering techniques. Our focus is primarily on machine learning-based spam filters and variants that are inspired by them. We report on related ideas, techniques, major efforts and cutting-edge art in the field. Preliminary interpretation of prior work shows the basics of e-mail spam filtering and feature engineering. In this we conclude by studying techniques, methods, evaluation criteria, and explore
doi:10.22214/ijraset.2020.6159
fatcat:kmn33grvjrcwxek5amfiqi2xvu