Automatically classifying documents by ideological and organizational affiliation

Moshe Koppel; Navot Akiva; Eli Alshech; Kfir Bar

doi:10.1109/isi.2009.5137294

Automatically classifying documents by ideological and organizational affiliation

Moshe Koppel, Navot Akiva, Eli Alshech, Kfir Bar

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

41 Scopus citations

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.

Original language	English
Title of host publication	2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009
Pages	176-178
Number of pages	3
DOIs	https://doi.org/10.1109/isi.2009.5137294
State	Published - 2009
Event	2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009 - Dallas, TX, United States Duration: 8 Jun 2009 → 11 Jun 2009

Publication series

Name	2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009

Conference

Conference	2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009
Country/Territory	United States
City	Dallas, TX
Period	8/06/09 → 11/06/09

Keywords

Author profiling
Islamic organizations
Text categorization

Access to Document

10.1109/isi.2009.5137294

Cite this

Koppel, M., Akiva, N., Alshech, E., & Bar, K. (2009). Automatically classifying documents by ideological and organizational affiliation. In 2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009 (pp. 176-178). Article 5137294 (2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009). https://doi.org/10.1109/isi.2009.5137294

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title = "Automatically classifying documents by ideological and organizational affiliation",

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 = "Author profiling, Islamic organizations, Text categorization",

author = "Moshe Koppel and Navot Akiva and Eli Alshech and Kfir Bar",

year = "2009",

doi = "10.1109/isi.2009.5137294",

language = "אנגלית",

isbn = "9781424441730",

series = "2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009",

pages = "176--178",

booktitle = "2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009",

note = "2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009 ; Conference date: 08-06-2009 Through 11-06-2009",

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Koppel, M, Akiva, N, Alshech, E & Bar, K 2009, Automatically classifying documents by ideological and organizational affiliation. in 2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009., 5137294, 2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009, pp. 176-178, 2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009, Dallas, TX, United States, 8/06/09. https://doi.org/10.1109/isi.2009.5137294

Automatically classifying documents by ideological and organizational affiliation. / Koppel, Moshe; Akiva, Navot; Alshech, Eli et al.
2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009. 2009. p. 176-178 5137294 (2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Automatically classifying documents by ideological and organizational affiliation

Abstract

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Conference

Keywords

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