מרק לסט

אקדמי בכיר

Filtering Multilingual Terrorist Content with Graph-Theoretic Classification Tools

Since the web is increasingly used by terrorist organizations, the ability to automatically detect multilingual terrorist-related content is extremely important. In this chapter, we present an efficient detection methodology based on the recently developed graph-based web document representation models. Evaluation is performed on real-world corpora in English and Arabic languages.
שפת פרסום אנגלית
דפים 323-330
סטטוס פרסום פורסם - 2007