Network Security White Papers
Spam Filtering Based on Latent Semantic Indexing
Overview In this paper, a study on the classification performance of a Vector Space Model (VSM) and of Latent Semantic Indexing (LSI) applied to the task of spam filtering is summarized. Based on a feature set used in the extremely widespread, de-facto standard spam filtering system SpamAssassin, a vector space model and latent semantic indexing are applied for classifying e-mail messages as spam or not spam. The test data sets used are partly from the official TREC 2005 data set and partly self collected.
| Publisher | University of Vienna | File Format | |
|---|---|---|---|
| Date Published | March 2007 | ||
| Format | White Papers | ||
| Topics | |||
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