Arabic sentiment analysis using recurrent neural networks: a review
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Linguistics and Language,Language and Linguistics
Link
https://link.springer.com/content/pdf/10.1007/s10462-021-09989-9.pdf
Reference109 articles.
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3. Abdulla NA, Ahmed NA, Shehab MA, Al-Ayyoub M (2013) Arabic sentiment analysis: Lexicon-based and corpus-based. In: 2013 IEEE Jordan conference on applied electrical engineering and computing technologies (AEECT). IEEE, Amman, Jordan, pp 1–6
4. Abdullah M, Shaikh S (2018) TeamUNCC at SemEval-2018 Task 1: emotion detection in English and Arabic tweets using deep learning. In: Proceedings of the 12th international workshop on semantic evaluation. Association for Computational Linguistics, New Orleans, Louisiana, pp 350–357
5. Abdullah M, Hadzikadicy M, Shaikhz S (2018) SEDAT: sentiment and emotion detection in Arabic text using CNN-LSTM deep learning. In: 2018 17th IEEE international conference on machine learning and applications (ICMLA). pp 835–840
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