Bayesian Spam Detection System Using Hybrid Feature Selection Method

Abstract

With the rapid development of Internet, the amount of text information has increased dramatically. As such, how to effectively and accurately identify, classify and deal with these information becomes a major challenge. In this paper, we used a term frequency hybrid filter which combines the refined naïve Bayesian classifier and innovative hybrid feature selection method to detect spams. According to our experiment results, we found that the hybrid feature selection method had better spam detection performance than traditional feature selection methods.