Research on Technology of Spam Filtering Based on Contents
Boyang Xue · Journal of Tianjin University of Science and Technology · 2010
One method to filter spam was proposed.The tf-idf method was used to extract e-mail’s lexical features.χ2 method was used to select effective features.The several structural features were extracted which could discriminate spam obviously.The support vector machine algorithm was adopted to filter spam automatically.By experimenting on dataset of Cspam,the evaluation value F is above 82%,the tf-idf lexical features and structural features combined can improve the classification accuracy,which proves that the method can approve the accuracy of filtering spam.