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Issue No. 05 - September/October (2005 vol. 20)
ISSN: 1541-1672
pp: 67-75
Ahmed Abbasi , University of Arizona
Hsinchun Chen , University of Arizona
One major challenge facing the intelligence and security community is monitoring online media for terrorist group communications. This study addresses the online anonymity problem by applying authorship analysis to English and Arabic extremist group Web forum messages. The study evaluates the performance impact of different feature categories and techniques across both languages. To enhance writing style identification, researchers incorporated a comprehensive list of online authorship features. Additionally, they created an Arabic language model by adopting specific features and techniques, including an elongation filter and a root-clustering algorithm, to handle challenging linguistic characteristics. A series of experiments indicated a high level of efficacy in the models. Finally, the authors compare the English and Arabic language models and messages to aid the research community's understanding of the dynamics of these groups' authorship tendencies.<p>This article is part of a special issue on Homeland Security.</p>
text analysis, security, authorship analysis, multilingual, Web forum postings, Web content analysis, Web mining

A. Abbasi and H. Chen, "Applying Authorship Analysis to Extremist-Group Web Forum Messages," in IEEE Intelligent Systems, vol. 20, no. , pp. 67-75, 2005.
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