B. Agarwal and N. Mittal, Prominent Feature Extraction for Sentiment Analysis, 2016.

S. S. Alotaibi, Sentiment Analysis in the Arabic Language Using Machine Learning, 2015.

S. S. Alotaibi and C. W. Anderson, Extending the Knowledge of the Arabic Sentiment Classification Using a Foreign External Lexical Source, International Journal on Natural Language Computing, vol.5, pp.1-11, 2016.

S. Atia and K. Shaalan, Increasing the accuracy of opinion mining in Arabic, Proceedings -1st International Conference on Arabic Computational Linguistics: Advances in Arabic Computational Linguistics, pp.106-113, 2015.

B. Brahimi, Data and Text Mining Techniques for Classifying Arabic Tweet Polarity, Journal of Digital Information Management, vol.14, pp.15-25, 2016.

W. Cherif, Towards an Efficient Opinion Measurement in Arabic Comments, Procedia Computer Science, vol.73, pp.122-129, 2015.

C. Cortes and V. Vapnik, Support-Vector Networks, Machine Learning, vol.20, pp.273-297, 1995.

R. M. Duwairi, Sentiment analysis for dialectical Arabic, 6th International Conference on Information and Communication Systems (ICICS), pp.166-170, 2015.

M. El-defrawy, Enhancing Root Extractors Using Light Stemmers, 29th Pacific Asia Conference on Language, Information and Computation, pp.157-166, 2015.

A. El-halees, Arabic Opinion Mining Using Combined Classification Approach, Proceeding The International Arab Conference On Information Technology, 2011.

A. Farghaly and K. Shaalan, Arabic natural language processing : Challenges and solutions, ACM Transactions on Asian Language Information Processing, vol.8, pp.1-22, 2009.

N. Habash, On Arabic Transliteration. Arabic Computational Morphology, pp.15-22, 2007.

L. Huan and Y. Lei, Toward integrating feature selection algorithms for classification and clustering, Ieee Transactions on Knowledge and Data Engineering, vol.17, pp.491-502, 2005.

P. Jackson and I. Moulinier, Natural Language Processing for Online Aplications: Text Retrieval, Extraction and Categorization, 2002.

B. Liu, Sentiment Analysis and Opinion Mining, Synthesis Lectures on Human Language Technologies, vol.5, pp.1-167, 2012.

B. Liu, Sentiment Analysis and Subjectivity. Handbook of Natural Language Processing, 2010.

P. Matthew and B. Jessica, Introduction to Manual Annotation, Fairview Research, 2010.

A. Mccallum and K. Nigam, A Comparison of Event Models for Naive Bayes Text Classification, AAAI/ICML-98 Workshop on Learning for Text Categorization, pp.41-48, 1998.

K. Meftouh, Study of a Non-Resourced Language : an Algerian Dialect, Proc. 3td International Workshop on Spoken Languages Technologies for Under-resourced Languages (SLTU'12), 2012.

A. Mountassir, Sentiment classification on arabic corpora. A preliminary cross-study. Document numérique, vol.16, pp.73-96, 2013.

M. Rushdi-saleh, OCA: Opinion corpus for Arabic, Journal of the American Society for Information Science and Technology, vol.62, pp.2045-2054, 2011.

M. Rushdi-saleh and M. Martín-valdivia, Bilingual experiments with an arabic-english corpus for opinion mining, Proceedings of the International Conference Recent Advances in Natural Language Processing, pp.740-745, 2011.

S. A. Salloum, A Survey of Text Mining in Social Media : Facebook and Twitter Perspectives, Technology and Engineering Systems Journal, vol.2, pp.127-133, 2017.

S. Bhargavi,

N. ;. Sruthi, . Pavan, and A. V. Kumar, Opinion Mining on Indian Newspaper Quotations, Proceedings -2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology -Workshops, WI-IAT Workshops, vol.3, pp.523-526, 2009.

C. Zhang, Sentiment analysis of chinese documents: From sentence to document level, Journal of the American Society for Information Science and Technology, vol.60, pp.2474-2487, 2009.

A. Ziani, Détection de polarité d'opinion dans les forums en langues arabe par fusion de plusieurs SVMs, pp.17-21, 2013.