Language and gender author cohort analysis of e-mail for computer forensics
Olivier Y. de Vel, Malcolm Corney, Alison M. Anderson, George Mohay · QUT ePrints (Queensland University of Technology) · 2002
Abstract. We describe an investigation of authorship gender and lan-guage background cohort attribution mining from e-mail text documents. We used an extended set of predominantly topic content-free e-mail document features such as style markers, structural characteristics and gender-preferential language features together with a Support Vector Machine learning algorithm. Experiments using a corpus of e-mail doc-uments generated by a large number of authors of both genders gave promising results for both author gender and language background co-hort categorisation. 1