A Spam Classification Method Based on Naive Bayes

Abstract

Currently, spam will do everything possible to bypass or destroy the spam classifier. This paper proposes a naive Bayesian spam classification method, and designs Bernoulli naive Bayes algorithm and polynomial naive Bayes algorithm to classify English spam and Chinese spam respectively. Experiments show that the method proposed in this paper has a high precision rate and recall rate, and can classify spam simply, accurately and efficiently.