Applications of Text Clustering Based on Semantic Body for Chinese Spam Filtering
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| Title | Applications of Text Clustering Based on Semantic Body for Chinese Spam Filtering |
| Authors | |
| Abstract | The effect of spam filtering method based on statistics is not good enough in filtering the new-type spam with synonymous substitution and camouflage, because the method based on statistics ignores the semantic relation between words in the text, and only judges from the word itself. So, a method of spam filtering based on the semantic body is proposed in this paper. The method adopts lexical chain based on HowNet and TFIDF method based on statistics to extract e-mail features, and handle spam with text clustering method. The result of the experiment shows that the new method proposed in this pager provides a good effect in filtering new-type spam. |
| Publisher | ACADEMY PUBLISHER |
| Date | 2012-11-01 |
| Source | Journal of Computers Vol 7, No 11 (2012) |
| Rights | Copyright © ACADEMY PUBLISHER - All Rights Reserved.To request permission, please check out URL: http://www.academypublisher.com/copyrightpermission.html. |