published by Higher Institute for Applied Sciences and Technology in 2020 in Informatics Engineering and research's language is العربية Download

Bekkali, M., & Lachkar, A. (2019, March). Arabic Sentiment Analysis based on Topic Modeling. In Proceedings of the New Challenges in Data Sciences: Acts of the Second Conference of the Moroccan Classification Society(p. 17). ACM.

Rao, K. P., Koneru, A., & Raju, D. N. (2019). OEFC Algorithm—Sentiment Analysis on Goods and Service Tax System in India. In Cognitive Informatics and Soft Computing (pp. 441-451). Springer, Singapore

Guellil, I., Adeel, A., Azouaou, F., & Hussain, A. (2018, July). Sentialg: Automated corpus annotation for algerian sentiment analysis. In International Conference on Brain Inspired Cognitive Systems (pp. 557-567). Springer, Cham

Abdellaoui, H., & Zrigui, M. (2018). Using tweets and emojis to build TEAD: an Arabic dataset for sentiment analysis. Computación y Sistemas, 22(3).