Filtering Spam Messages Based on Improved Naive Bayesian Algorithm

Abstract

The relative lack of system and supervision has caused many negative impacts on the "black industry" around wireless communication, such as the spam messages of mobile phones, which have always troubled people's lives.This paper focuses on the research of spam short message filtering based on the improved naive Bayes algorithm.This paper introduces the background of spam short message, and summarizes the status quo of spam short message filtering technology and filtering system construction at home and abroad.The intelligent filtering technology is optimized, and a new algorithm combining Bayesian network classification algorithm with artificial intelligence algorithm is used to filter junk short messages.The final experimental results show that the improved naive Bayesian short message filtering method proposed in this paper can improve the accuracy, recall and overall efficiency of short message filtering, while the filtering efficiency also increases with the expansion of the cluster size.