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Language and gender author cohort analysis of e-mail for computer forensics

de Vel, Olivier Y., Corney, Malcolm W., Anderson, Alison M., & Mohay, George M. (2002) Language and gender author cohort analysis of e-mail for computer forensics. In Digital Forensics Research Workshop, 6-8 August, Syracuse, NY, USA.

Abstract

We describe an investigation of authorship gender and language 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 documents generated by a large number of authors of both genders gave promising results for both author gender and language background cohort categorisation.

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ID Code: 8805
Item Type: Conference Paper
Additional Information: The contents of this proceeding can be freely accessed online via the conference's web page (see hypertext link).
Additional URLs:
Keywords: authorship analysis, stylometry, computation linguistics, Support VEctor Machine, e, mail, computer forensics
Subjects: Australian and New Zealand Standard Research Classification > LANGUAGES COMMUNICATION AND CULTURE (200000) > LINGUISTICS (200400) > Computational Linguistics (200402)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Natural Language Processing (080107)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Past > Institutes > Information Security Institute
Copyright Owner: Copyright 2002 The Authors
Deposited On: 27 Jul 2007
Last Modified: 09 Jun 2010 22:43

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