Opinion mining and sentiment analysis for Arabic on-line texts: application on the political domain-Reference-Cited by-同舟云学术

Opinion mining and sentiment analysis for Arabic on-line texts: application on the political domain

Published:2017-06-13 Issue:3 Volume:20 Page:575-585
ISSN:1381-2416
Container-title:International Journal of Speech Technology
language:en
Short-container-title:Int J Speech Technol

Author:

Najar Dhekra,Mesfar Slim

Publisher

Springer Science and Business Media LLC

Subject

Computer Vision and Pattern Recognition,Linguistics and Language,Human-Computer Interaction,Language and Linguistics,Software

Link

http://link.springer.com/article/10.1007/s10772-017-9422-4/fulltext.html

Reference18 articles.

1. Abdul-Mageed, M. & Diab M. (2012a). AWATIF: A multi-genre corpora for modern standard arabic subjectivity and sentiment analysis. LREC, Istanbul, Turkey

2. Abdul-Mageed, M. & Diab, M. (2012b). Toward building a large-scale arabic sentiment lexicon. In Proceedings of the 6th International Global WordNet Conference.

3. Abdul-Mageed, M., Diab, M. T., & Korayem, M. (2011). Subjectivity and sentiment analysis of modern standard Arabic. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers (vol. 2, pp. 587–591). Association for Computational Linguistics.

4. Abdul-Mageed, M., Diab, M., & Kübler, S. (2014). SAMAR: Subjectivity and sentiment analysis for Arabic social media. Computer Speech & Language, 28(1), 20–37.

5. Alaa El-Dine, A. H., & Fatma El-zahraa, E.-t. (2013). Sentiment analyzer for Arabic comments system. International Journal of Advanced Computer Science and Applications.

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