Development of an Intelligent SMS Analysis System Based on Naive Bayes and Support Vector Machine
Hesheng Lv · 2010
In order to solve the harassment caused by spam messages,a spam message filtering system is proposed based on Native Bayes and support vector machine.This paper mainly utilizes Native Bayes advantage of rapid statistics classification and Support Vector Machine(SVM) incremental training characteristic in Spam Short Message filtering,and updates the Key words database in time in order to enhance the system's self-adaptability.Through repeated the experiment of 120,000 text messages from mobile operators,the experimental results show that this new method effectively deals with the above problems in the traditional spam short message filtering systems.