An analytical review of Email Spam Recognition Using Deep Learning

Email spam detection has become a serious issue in contemporary communication systems as a result of the proliferation of unwanted emails. Traditional methods often fall short of the ever- evolving tactics employed by spammers. Deep learning methods provide promising avenues to raise the effectiveness and precision of spam identi- fication systems. This paper looks at the current advancements in the usage of deep learning algo- rithms for email spam identification. We provide experimental data, review relevant literature, dis- cuss techniques, and render conclusions about the efficacy of deep learning in reducing unsolicited emails.