B. Pang and L. Lee, Opinion Mining and Sentiment Analysis, Foundations and Trends in Information Retrieval, 2008.

M. Korayem, D. Crandall, and M. Abdul-mageed, Subjectivity and sentiment analysis for arabic: A survey, Advanced Machine Learning Technologies and Applications, vol.322, pp.128-139, 2012.

N. Farra, E. Challita, R. A. Assi, and H. Hajji, Sentence-level and document-level sentiment mining for arabic texts, 2010.

Y. Almas and K. Ahmad, A note on extracting sentiments in financial news in english, arabic & ardu, 2007.

N. A. Abdulla, N. A. Ahmed, M. A. Shehab, M. Al-ayyoub, and M. N. Al-kabi, Towards Improving he Lexicon-Based Approach for Arabic Sentiment Analysis, International Journal of Information Technology and Web Engineering, pp.55-71, 2014.

M. N. Al-kabi, A. H. Gigieh, I. M. Alsmadi, and H. A. Wahsheh, Opinion Mining and Analysis for Arabic Language, International Journal of Advanced Computer Science and Applications, pp.181-195, 2014.

N. A. Abdulla, M. Al-ayyoub, and M. N. Al-kabi, An extended analytical study of arabic sentiments, International Journal of Big Data Intelligence, vol.1, pp.103-113, 2014.

A. Bayoudhi, L. Hadrich-belghith, and H. Ghorbal, Sentiment Classification of Arabic Documents: Experiments with multi-type features and ensemble algorithm, 29th Pacific Asia Conference on Language, Information and computation, 2015.

A. Mountassir, H. Benbrahim, and I. Berrada, Sentiment classification on Arabic corpora: A preliminary cross-study, Document Numérique, vol.16, pp.73-96, 2013.

A. Shboul, B. Al-ayyoub, M. Jararweh, and Y. , Multi-Way Sentiment Classification of Arabic Reviews, the 6th International Conference on Information and Communication Systems, 2015.

M. Al-ayyoub, A. Nuseir, G. Kanaan, and R. Al-shalabi, Hierarchical Classifiers for MultiWay Sentiment Analysis of Arabic Reviews, International Journal of Advanced Computer Science and Application, vol.7, 2016.

A. El-halees, Arabic opinion mining using combined models, International Arab Conference On Information Technology, 2011.

H. S. Ibrahim, S. M. Abdou, and M. Gheith, Sentiment analysis for modern standard Arabic and colloquial, International Journal on Natural Language Computing (IJNLC), vol.4, 2015.

E. Refaee and V. Rieser, iLab-Edinburgh at SemEval-2016 Task 7: A Hybrid Approach for Determining Sentiment Intensity of Arabic Twitter Phrases, Proceedings of SemEval-2016, pp.474-480, 2016.

Q. Le and T. Mikolov, Distributed representations of sentences and documents, proceedings ofthe 31 International Conference om Machine Learning, 2014.

A. L. Maas, R. E. Daly, P. T. Pham, D. Huang, A. Y. Ng et al., Learning word vectors for sentiment analysis, Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics, 2011.

N. Mahmoud, M. Aly, and A. Atiya, LABR 2.0: Large Scale Arabic Sentiment Analysis Benchmark, 2014.

M. Rushdi-saleh, M. T. Martin-valdivia, L. A. Urena-lopez, and J. M. Perea-ortega, Bilingual Experiments with an Arabic-English Corpus for Opining Mining, Proceedings of Recent Advances in Natural Language Processing, pp.740-745, 2011.

M. Biltawi, W. Etaiwi, S. Tedmori, A. Hudaib, and A. Awajan, Sentiment Classification Techniques for Arabic Language: A survey, the 7th International Conference on Information and Computation System ICICS, 2016.
DOI : 10.1109/iacs.2016.7476075

M. Korayem, Sentiment/Subjectivity analysis survey for languages other than English, 2016.
DOI : 10.1007/s13278-016-0381-6

URL : http://arxiv.org/pdf/1601.00087

T. Mikolov, K. Chen, G. Corrado, and J. Dean, Efficient estimation of word representations in vector space, 2013.

J. Pennington, R. Rocher, and C. D. Manning, Glove: Global vectors for words representation, EMNLP, vol.14, pp.1532-1543, 2014.
DOI : 10.3115/v1/d14-1162

URL : https://doi.org/10.3115/v1/d14-1162

R. Socher, A. Perelygin, J. Y. Wu, J. Chuang, C. D. Manning et al., Recursive deep models for semantic compositionality over a sentiment treebank, Conference on Emperical Methods in Natural Language Processing, 2011.

M. Al-kabi, M. Al-ayyoub, I. Alsmadi, and H. Wahsheh, A Prototype for a Standard Arabic Sentiment Analysis Corpus, International Arab Journal of Information Technology, pp.163-170, 2016.

A. Bayoudhi, H. Ghorbel, H. Koubaa, and L. Hadrich-belguith, entiment classification at discourse segment level: Experiments on multi-domain arabic corpus, Journal for Language Technology and Computational Linguistics, 2015.

M. Al-ayyoub, S. Bani-essa, and I. T. Alsmadi, Lexicon-based sentiment analysis of arabic tweets, International Journal of Social Network Mining, pp.101-114, 2015.

H. Doaa-mohey-el-din-mohamed, A survey on sentiment analysis challenges, Journal of King Saud University-Engineering Sciences, 2016.

M. Biltawi, W. Etaiwi, S. Tedmori, A. Hudaib, and A. Awajan, Sentiment classification techniques for arabic language: A survey, 2016.
DOI : 10.1109/iacs.2016.7476075

S. Mdhaffar, F. Bougares, Y. Estève, and L. Hadrich-belguith, Sentiment Analysis of Tunisian Dialect: Linguistic Resources and Experiments, Proceedings of The Third Arabic Natural Language Processing Workshop (WANLP), pp.55-61, 2017.

R. M. Duwairi and I. Qarqaz, Arabic Sentiment Analysis using Supervised Classification, The 1st International Workshop on Social Networks Analysis, Management and Security (SNAMS-2014), 2014.
DOI : 10.1109/ficloud.2014.100