Chinese Web Information Identical Cognizance Method Based on Stylometry
Chang Shu-hui · Journal of Zhengzhou University · 2011
To prevent illegal information in the Internet from happening,one Web information identical cognizance method was provided.By analyzing Chinese Web information author's writing style,lexical features,structural features,format features which could express Web information author's writing habit were extracted.Support vector machine algorithm was used to cognize Web information's author identically.The purpose of the method was to investigate evidence to computer forensic.The accuracy exceeded 80 percent by experimenting on Blog and Email datasets.The three features combination had a better result than single feature.The experimental results proved that the method was effective and feasible to apply for computer forensic.