Splog Filtering Based on Content Analysis
Lihong Wang · Zhongwen xinxi xuebao · 2008
In this paper,we analyze many effective statistical features for splog filtering by investigating the differences between splogs and normal blogs.Then we present a splog filtering approach based on statistical characteristics of blog content.The experimental results on Blog06 data set show that the approach can reach an accuracy of 97%,which improves by 7% compared with term frequency based method.And with the test size increasing,its accuracy keeps around 95%,indicating a good generalization ability.