Text Mining Techniques for Sentiment Analysis of Arabic Dialects: Literature Review
Author:
Publisher
ASTES Journal
Subject
Management of Technology and Innovation,Physics and Astronomy (miscellaneous),Engineering (miscellaneous)
Link
https://www.astesj.com/publications/ASTESJ_0601112.pdf
Reference71 articles.
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2. P.D. Kilmer, "Review Article: Review Article," Journalism: Theory, Practice & Criticism, 11(3), 369-373, 2010, doi:10.1177/1461444810365020.
3. F. Mallek, B. Belainine, F. Sadat, "Arabic Social Media Analysis and Translation," Procedia Computer Science, 117, 298-303, 2017, doi:10.1016/j.procs.2017.10.121.
4. L. Almuqren, A.I. Cristea, "Framework for sentiment analysis of Arabic text," HT 2016 - Proceedings of the 27th ACM Conference on Hypertext and Social Media, 315-317, 2016, doi:10.1145/2914586.2914610.
5. A.B. Soliman, K. Eissa, S.R. El-Beltagy, "AraVec: A set of Arabic Word Embedding Models for use in Arabic NLP," Procedia Computer Science, 117, 256-265, 2017, doi:10.1016/j.procs.2017.10.117.
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