Filtering Multi-Lingual Terrorist Content with Graph-Theoretic Classifi-cation Tools
published: Nov. 26, 2007, recorded: September 2007, views: 4061
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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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