Filtering Multi-Lingual Terrorist Content with Graph-Theoretic Classifi-cation Tools

author: Mark Last, Department of Information Systems Engineering, Ben-Gurion University of the Negev
published: Nov. 26, 2007,   recorded: September 2007,   views: 4061
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Description

Since the web is increasingly used by terrorist organizations, the ability to automatically detect multi-lingual terrorist-related content is extremely important. In this talk, we present an efficient detection methodology based on the recently developed graph-based web document representation models. Evaluation is performed on corpora in English and Arabic languages.

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Download slides icon Download slides: mmdss07_last_fmlt_01.ppt (3.3┬áMB)


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