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.
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.
Impact and interest:
Citation counts are sourced monthly from and citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.
|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).|
|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:||23 Dec 2014 22:18|
Repository Staff Only: item control page