A Novel BiGRUBiLSTM Model for Multilevel Sentiment Analysis Using Deep Neural Network with BiGRU-BiLSTM
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Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-33-4597-3_37
Reference28 articles.
1. Kim Y (2014) Convolutional neural networks for sentence classification. arXiv preprint arXiv:1408.5882
2. Yadav A, Vishwakarma DK (2019) Sentiment analysis using deep learning architectures: a review. Artif Intell Rev 1–51
3. Lai S et al (2015) Recurrent convolutional neural networks for text classification. In: Twenty-ninth AAAI conference on artificial intelligence
4. Du Y et al (2019) A novel capsule based hybrid neural network for sentiment classification. IEEE Access 7:39321–39328
5. Xu J et al (2016) Cached long short-term memory neural networks for document-level sentiment classification. arXiv preprint arXiv:1610.04989
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