Behavior analysis in Arabic social media
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Vision and Pattern Recognition,Linguistics and Language,Human-Computer Interaction,Language and Linguistics,Software
Link
https://link.springer.com/content/pdf/10.1007/s10772-021-09856-6.pdf
Reference24 articles.
1. Abutiheen. Z. A., Aliwy, A. H., & Aljanabi, K. B. S. (2018) Arabic text classification using master-slaves technique. Journal of Physics: Conference Series, 1032(1).
2. Aldayel, H. K., & Azmi, A. M. (2015). Arabic tweets sentiment analysis—A hybrid scheme. Journal of Information Science, 42(6), 782–797.
3. Alnawas, A., & Arici, N. (2019). Sentiment analysis of Iraqi Arabic Dialect on Facebook. ACM Trans. Asian Low-Resource Lang. Inf. Process. 18(3), 1–17.
4. Alwakid, G., Osman, T., & Hughes-Roberts, T. (2017). Challenges in sentiment analysis for Arabic social networks. Procedia Computer Science, 117, 89–100.
5. Atoum, J. O., & Nouman, M. (2019). Sentiment analysis of Arabic Jordanian dialect tweets. International Journal of Advanced Computer Science and Applications, 10(2), 256–262.
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