Identification of terrorist web sites with cross-lingual classification tools

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    Abstract

    The following sections are included: • Introduction • Document Categorization and Classification • Selected Applications of Web Document Classification • Automatic Web News Extraction • Personalization and E-Commerce • Organization of Web Document Collections • Multi-Lingual Applications • Document Representation • Traditional Text Models • Web Document Models • Graph Based Representations of Web Documents • Graph Structure • Term Extraction Methods • Naïve Extraction • Smart Extraction • Frequent Sub-Graph Extraction Problem • Cross-Lingual Web Document Classification with Graphs • Representation and Classification Process • Web Document Representation Example • Case Study: Identification of Terrorist Web Sites in Arabic • About Document Collection • Preprocessing of Documents in Arabic • Experiment and Evaluation of Results • Conclusions • Acknowledgment.

    Original languageEnglish
    Title of host publicationFighting Terror In Cyberspace
    PublisherWorld Scientific Publishing Co.
    Pages117-141
    Number of pages25
    ISBN (Electronic)9789812703255
    DOIs
    StatePublished - 1 Jan 2005

    ASJC Scopus subject areas

    • General Computer Science

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