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Since the first alert launched by the World Health Organization (5 January, 2020), COVID-19 has been spreading out to over 180 countries and territories.
Sentiment analysis algorithms and applications: A survey
Walaa Medhat, Ahmed Hassan, and Hoda Korashy · 2014
Earlier work this paper cites.
Sentiment analysis of twitter data: a survey of techniques
Vishal Kharde, Prof Sonawane, et al · 2016
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Deep learning for sentiment analysis: A survey
Lei Zhang, Shuai Wang, and Bing Liu · 2018
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Semeval-2018 Task 1: Affect in tweets
Saif M. Mohammad, Felipe Bravo-Marquez, Mohammad Salameh, and Svetlana Kiritchenko · 2018
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Xlnet: Generalized autoregressive pretraining for language understanding
Zhilin Yang, Zihang Dai, Yiming Yang, Jaime Carbonell, Russ R Salakhutdinov, and Quoc V Le · 2019
Earlier work this paper cites.
Ernie: Enhanced language representation with informative entities
Zhengyan Zhang, Xu Han, Zhiyuan Liu, Xin Jiang, Maosong Sun, and Qun Liu · 2019
Cited alongside, same era.
Survey paper on sentiment analysis: Techniques and challenges
Ansari Fatima Anees, Arsalaan Shaikh, Arbaz Shaikh, and Sufiyan Shaikh · 2020
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Measuring emotions in the covid-19 real world worry dataset
Bennett Kleinberg, Isabelle van der Vegt, and Maximilian Mozes · 2020
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Coronavis: A real-time covid-19 tweets analyzer
Md Kabir, Sanjay Madria, et al · 2020
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Machine learning on big data from twitter to understand public reactions to covid-19
Jia Xue, Junxiang Chen, Chen Chen, ChengDa Zheng, and Tingshao Zhu · 2020
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Racism is a virus: Anti-asian hate and counterhate in social media during the covid-19 crisis
Caleb Ziems, Bing He, Sandeep Soni, and Srijan Kumar · 2020
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Arabert: Transformer-based model for arabic language understanding
Wissam Antoun, Fady Baly, and Hazem Hajj · 2020
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2020
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