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http://dx.doi.org/10.6109/jkiice.2011.15.1.163

A Splog Detection System Using Support Vector Systems  

Lee, Song-Wook (충주대학교)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.15, no.1, 2011 , pp. 163-168 More about this Journal
Abstract
Blogs are an easy way to publish information, engage in discussions, and form communities on the Internet. Recently, there are several varieties of spam blog whose purpose is to host ads or raise the PageRank of target sites. Our purpose is to develope the system which detects these spam blogs (splogs) automatically among blogs on Web environment. After removing HTML of blogs, they are tagged by part of speech(POS) tagger. Words and their POS tags information is used as a feature type. Among features, we select useful features with X2 statistics and train the SVM with the selected features. Our system acquired 90.5% of F1 measure with SPLOG data set.
Keywords
spam blog detection; Splog; support vector machines; chi square statistics;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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