Automated arabic text classification with P-Stemmer, machine learning, and a tailored news article taxonomy-Reference-Cited by-同舟云学术

Automated arabic text classification with P-Stemmer, machine learning, and a tailored news article taxonomy

Published:2015-12-23 Issue:11 Volume:67 Page:2667-2683
ISSN:2330-1635
Container-title:Journal of the Association for Information Science and Technology
language:en
Short-container-title:J Assn Inf Sci Tec

Author:

Kanan Tarek¹,Fox Edward A.²

Affiliation:

1. Department of Software Engineering; Faculty of Science and Information Technology; Al Zaytoonah University of Jordan; Amman-Jordan

2. Department of Computer Science; College of Engineering; Virginia Polytechnic Institute and State University (Virginia Tech); McBryde Hall Room 114 (0106) Blacksburg VA 24061

Funder

Qatar National Research Fund

Publisher

Wiley

Subject

Library and Information Sciences,Information Systems and Management,Computer Networks and Communications,Information Systems

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/asi.23609/fullpdf

Reference44 articles.

1. Abu Ata , B.M. Al-Omari , A. A rule-based Stemmer for Arabic Gulf dialect. Journal of King Saud University-Computer Information Sciences

2. Discovering lexical information by tagging Arabic newspaper text

3. Aggarwal , C. Zhai , C. 2012 Mining text data.

4. Al-Arab 2014 Al-Arab http://www.al-arab.qa/

5. Al-Kabi , M. 2013 Towards improving Khoja rule-based Arabic stemmer Proceedings of the Applied Electrical Engineering and Computing Technologies (AEECT), IEEE conference in Jordan. 1 6

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