Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,General Computer Science
Reference48 articles.
1. W. Medhat, A. Hassan, H. Korashy, Sentiment analysis algorithms and applications: a survey. Ain Shams Eng. J. 5(4), 1093–1113 (2014)
2. Rachid, B.A., Azza, H. and Henda, B.G., 2018. Sentiment Analysis Approaches based on Granularity Levels.
3. K. Elshakankery, M.F. Ahmed, HILATSA: A hybrid Incremental learning approach for Arabic tweets sentiment analysis. Egyptian Informatics Journal 20(3), 163–171 (2019)
4. Mikolov, T., Chen, K., Corrado, G. and Dean, J., 2013. Efficient estimation of word representations in vector space. arXiv preprint http://arxiv.org/abs/1301.3781.
5. Tang, D., Wei, F., Yang, N., Zhou, M., Liu, T. and Qin, B., 2014, June. Learning sentiment-specific word embedding for twitter sentiment classification. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (pp. 1555–1565).
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