References

Abdul-Mageed, M. and M.T. Diab, 2012. AWATIF: A multi-genre corpus for modern standard Arabic subjectivity and sentiment analysis. Proceedings of the 8th International Conference on Language Resources and Evaluation (LREC’14), May 26-31, 2014, European Language Resources Association, Reykjavik, Iceland, pp: 3907-3914.

Abdulla, N., M. Al-Ayyoub and M.N. Al-Kabi, 2014. An extended analytical study of Arabic sentiments. Intl. J. Big Data Intell., 1: 103-113.
CrossRef  |  Direct Link  |  

Abdulla, N.A., N.A. Ahmed, M.A. Shehab and M. Al-Ayyoub, 2013. Arabic sentiment analysis: Lexicon-based and corpus-based. Proceedings of the 2013 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT’13), December 3-5, 2013, IEEE, Amman, Jordan, ISBN:978-1-4799-3676-2, pp: 1-6.

Al-Kabi, M., N.M. Al-Qudah, I. Alsmadi, M. Dabour and H. Wahsheh, 2013. Arabic/English sentiment analysis: An empirical study. Proceedings of the 4th International Conference on Information and Communication Systems (ICICS’13), April 23-25, 2013, ACM, Irbid, Jordan, ISBN:978-1-4503-1327-8, pp: 23-25.

Aly, M. and A. Atiya, 2013. Labr: A large scale Arabic book reviews dataset. Proceedings of the 51st Annual Meeting on Association for Computational Linguistics, August 4-9, 2013, Association for Computational Linguistics, Sofia, Bulgaria, pp: 494-498.

Benajiba, Y., P. Rosso and J.M. Benediruiz, 2007. Anersys: An arabic named entity recognition system based on maximum entropy. Proceedings of the International Conference on Computational Linguistics and Intelligent Text Processing, February 18-24, 2007, Springer, Berlin, Heidelberg, Germany, ISBN:978-3-540-70938-1, pp: 143-153.

Kaseb, G.S. and M.F. Ahmed, 2016. Arabic sentiment analysis approaches: An analytical survey. Int. J. Scient. Eng. Res., 7: 712-723.
Direct Link  |  

Korayem, M., D. Crandall and M. Abdul-Mageed, 2012. Subjectivity and Sentiment Analysis of Arabic: A Survey. In: Advanced Machine Learning Technologies and Applications, Hassanien, A.E., M.S. Abdel-Badeeh, R. Ramadan, and K.T. Hoon (Eds.). Springer, Berlin, Germany, ISBN:978-3-642-35325-3, pp: 128-139.

Nabil, M., M. Aly and A. Atiya, 2015. ASTD: Arabic sentiment tweets dataset. Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, September 17-21, 2015, Association for Computational Linguistics, Lisbon, Portugal, pp: 2515-2519.

Rushdi-Saleh, M., M.T. Martin-Valdivia, L.A. Urena-Lopez and J.M. Perea-Ortega, 2011. Bilingual experiments with an arabic-english corpus for opinion mining. Proceedings of the International Conference on Recent Advances in Natural Language Processing, September 12-14, 2011, Hissar, Bulgaria, pp: 740-745.

Saleh, M.R., M.T.M. Valdivia, L.A.U. Lopez and J.M.P. Ortega, 2011. OCA: Opinion corpus for Arabic. J. Am. Soc. Inf. Sci. Technol., 62: 2045-2054.
CrossRef  |  Direct Link  |  

Shoukry, A. and A. Rafea, 2012. Sentence-level Arabic sentiment analysis. Proceedings of the 2012 International Conference on Collaboration Technologies and Systems (CTS’12), May 21-25, 2012, IEEE, Denver, Colorado, ISBN:978-1-4673-1381-0, pp: 546-550.