DocumentCode
2315728
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
fYear
2009
fDate
8-11 June 2009
Firstpage
176
Lastpage
178
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ISI.2009.5137294
Filename
5137294
Link To Document