Design and Analysis of Spam-Filtering System Based on Words Segmentation
Nanshan Du · Journal of Wuhan University · 2005
It is difficult to process Chinese Emails by single word.In order to resolve this problem,a spam-filtering system based on words segmentation is designed and implemented.Meanwhile,several related algorithms when implemented are demonstrated: Multiple Exact/Approximate String Matching Algorithm for matching,Chinese Words Segmentation Algorithm for processing Chinese emails and N-Gram Feature Extraction Algorithm for feature extraction.Finally,the experiment validates the high performance of processing Chinese Emails as well as that of English Emails.In addition,a sortion system for NonSpam is designed and implemented in the third part of the paper