Ensemble Approach of Conditional Probability for Spam Text Stream Filtering
Ting Wang · Jisuanji kexue yu tansuo · 2010
Through the investigation of online text classification for spam text stream filtering,a novel ensemble approach of conditional probability is proposed. Applying token sequence to represent text and applying index to store classification knowledge,an online training algorithm of classification model and an online classifying algorithm are designed and implemented. Through multiple text features extraction from email and short message service (SMS) document,some spam filtering experiments are run on TREC07P email corpus and real Chinese SMS corpus separately. The experimental results show that the proposed approach can achieve better filtering effect.