Publisher
Springer Nature Switzerland
Reference44 articles.
1. Duwairi, R., El-Orfali, M.: A study of the effects of preprocessing strategies on sentiment analysis for Arabic text. J. Inf. Sci. 40(4), 501–513 (2014)
2. Salem, F.: Social media and the internet of things–towards data-driven policymaking in the Arab world: potential limits and concerns, Arab Social Media Report 2017, UAE (2017)
3. Dixon, S.: Countries with the most Twitter users 2022, Statista (2022)
4. W. Al-Ghaith, “Developing lexicon-based algorithms and sentiment lexicon for sentiment analysis of Saudi Dialect Tweets,” Al-Ghaith, W. (2019). Developing lexicon-based algorithms and sentimInternational Journal of Advanced Computer Science and Applications, vol. 10, no. 11, pp. 99–111, 2019
5. Boudad, N., Faizi, R., Thami, R.O., Chiheb, R.: Sentiment analysis in Arabic: a review of the literature. Ain Shams Eng. J. 9(4), 2479–2490 (2018)