COVID-19 in the UK: Sentiment and Emotion Analysis of Tweets Over Time

Author:

Amujo Olasoji,Ibeke Ebuka,Iwendi Celestine,Boulouard Zakaria

Publisher

Springer Nature Switzerland

Reference33 articles.

1. Huang, C., et al.: Clinical features of patients infected with 2019 novel coronavirus in Wuhan, china. Lancet 395(10223), 497–506 (2020)

2. WHO: COVID-19 Public Health Emergency of International Con- cern (PHEIC) Global research and innovation forum (2020). https://www.who.int/publications/m/item/covid-19-public-health-emergency-of-international-concern-(pheic)-global-research-and-innovation-forum Accessed 31 July 2022

3. Ugochukwu-Ibe, I.M., Ibeke, E.: E-learning and covid-19: the nigerian experience: challenges of teaching technical courses in tertiary institutions. (2021). CEUR Workshop Proceedings

4. Iwendi, C., Mohan, S., Ibeke, E., Ahmadian, A., Ciano, T., et al.: Covid- 19 fake news sentiment analysis. Comput. Electr. Eng. 101, 107967 (2022)

5. Worldometers: COVID-19 Coronavirus Pandemic. https://www.worldometers.info/coronavirus/ (2022). Assessed 1 Aug 2022

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