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IWCF '08 Proceedings of the 2nd international workshop on Computational Forensics
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This paper describes how social identity group "fingerprints" can be extracted from a document collection by applying topic analysis methods in a novel way. The results of document classification experiments suggest that these group-level attributes provide better predictions of group affiliation than document-level attributes. Applications of this method for forensic authorship analysis are also discussed.