E-mail authorship mining based on SVM for computer forensic
Guifa Teng, Maosheng Lai, Jianbin Ma, Ying Li · 2005
We describe our work which attempts to mine e-mail authorship for the purpose of computer forensic. We extract various e-mail document features including linguistic features, header features and structural characteristics. These features together are used with the support vector machine learning algorithm to classify or attribute authorship of e-mail messages to an author. The primary experiments on a number of e-mail documents have given ideal results, which indicate that the project has laid a firm groundwork for the future work.