Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
An extensive empirical study of feature selection metrics for text classification
The Journal of Machine Learning Research
Applying Authorship Analysis to Extremist-Group Web Forum Messages
IEEE Intelligent Systems
Machine learning for Arabic text categorization: Research Articles
Journal of the American Society for Information Science and Technology
Computational methods in authorship attribution
Journal of the American Society for Information Science and Technology
Automatic Arabic document categorization based on the Naïve Bayes algorithm
Semitic '04 Proceedings of the Workshop on Computational Approaches to Arabic Script-based Languages
Applying interestingness measures to Ansar forum texts
ACM SIGKDD Workshop on Intelligence and Security Informatics
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
The Mental State of Influencers
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
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We show how an Arabic language religious-political document can be automatically classified according to the ideological stream and organizational affiliation that it represents. Tests show that our methods achieve near-perfect accuracy.