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Applying Authorship Analysis to Arabic Web Content

  • Ahmed Abbasi
  • Hsinchun Chen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3495)

Abstract

The advent and rapid proliferation of internet communication has allowed the realization of numerous security issues. The anonymous nature of online mediums such as email, web sites, and forums provides an attractive communication method for criminal activity. Increased globalization and the boundless nature of the internet have further amplified these concerns due to the addition of a multilingual dimension. The world’s social and political climate has caused Arabic to draw a great deal of attention. In this study we apply authorship identification techniques to Arabic web forum messages. Our research uses lexical, syntactic, structural, and content-specific writing style features for authorship identification. We address some of the problematic characteristics of Arabic in route to the development of an Arabic language model that provides a respectable level of classification accuracy for authorship discrimination. We also run experiments to evaluate the effectiveness of different feature types and classification techniques on our dataset.

Keywords

Word Length Function Word Syntactic Feature Lexical Feature Arabic Word 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Ahmed Abbasi
    • 1
  • Hsinchun Chen
    • 1
  1. 1.Department of Management Information SystemsThe University of ArizonaTucsonUSA

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