Arabic sentiment analysis using recurrent neural networks: a review
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Title
Arabic sentiment analysis using recurrent neural networks: a review
Authors
Keywords
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Journal
ARTIFICIAL INTELLIGENCE REVIEW
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2021-04-20
DOI
10.1007/s10462-021-09989-9
References
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Related references
Note: Only part of the references are listed.- A review of sentiment analysis research in Arabic language
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- Deep learning for sentiment analysis: A survey
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- Using long short-term memory deep neural networks for aspect-based sentiment analysis of Arabic reviews
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- (2016) Saif M. Mohammad et al. JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH
- Multilingual Sentiment Analysis: State of the Art and Independent Comparison of Techniques
- (2016) Kia Dashtipour et al. Cognitive Computation
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- (2015) Yann LeCun et al. NATURE
- Deep learning in neural networks: An overview
- (2015) Jürgen Schmidhuber NEURAL NETWORKS
- From Feedforward to Recurrent LSTM Neural Networks for Language Modeling
- (2015) Martin Sundermeyer et al. IEEE-ACM Transactions on Audio Speech and Language Processing
- A systematic literature review of actionable alert identification techniques for automated static code analysis
- (2010) Sarah Heckman et al. INFORMATION AND SOFTWARE TECHNOLOGY
- Understanding bag-of-words model: a statistical framework
- (2010) Yin Zhang et al. International Journal of Machine Learning and Cybernetics
- Opinion Mining and Sentiment Analysis
- (2008) Bo Pang et al. Foundations and Trends in Information Retrieval
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