Title :
Automatically Classifying Documents by Ideological and Organizational Affiliation
Author :
Koppel, Moshe ; Akiva, Navot ; Alshech, Eli ; Bar, Kfir
Author_Institution :
Dept. of Comput. Sci., Bar-Ilan Univ., Ramat-Gan, Israel
Abstract :
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.
Keywords :
natural languages; pattern classification; text analysis; Arabic language religious-political document; document classification; ideological stream; organizational affiliation; text categorization; Algorithm design and analysis; Computer science; Frequency; Law enforcement; Monitoring; Security; Testing; Text categorization; Author Profiling; Islamic Organizations; Text Categorization;
Conference_Titel :
Intelligence and Security Informatics, 2009. ISI '09. IEEE International Conference on
Conference_Location :
Dallas, TX
Print_ISBN :
978-1-4244-4171-6
Electronic_ISBN :
978-1-4244-4173-0
DOI :
10.1109/ISI.2009.5137294
