Sentiment Analysis of COVID-19 Tweets Using BiLSTM and CNN-BiLSTM
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-8825-7_45
Reference7 articles.
1. Kouloumpis E, Wilson T, Moore J (2021) Twitter sentiment analysis: the good the bad and the OMG! In: Proceedings of the international AAAI conference on web and social media, vol 5, pp 538–541
2. Mahbub NI, Islam MdR, Amin MdA, Islam MdK, Singh BC, Showrov MdIH, Sarkar A (2021) Sentiment analysis of microblogging dataset on coronavirus pandemic. CoRR abs/2111.09275
3. Gopalakrishnan K, Salem FM (2020) Sentiment analysis using simplified long short-term memory recurrent neural networks. CoRR abs/2005.03993
4. Rhanoui M, Mikram M, Yousfi S, Barzali S (2019) A CNN-BiLSTM model for document-level sentiment analysis. Mach Learn Knowl Extraction 1:832–847. https://doi.org/10.3390/make1030048
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