Multi-Topic E-mail Authorship Attribution Forensics

Abstract

In this paper we describe an investigation of forensic authorship identification or categorisation undertaken on multitopic e-mail documents. We use an extended set of e-mail document features such as structural characteristics and linguistic patterns together with a Support Vector Machine learning algorithm. Experiments on a number of e-mail documents generated by different authors on a set of topics gave promising results for both inter- and intra-topic author categorisation.