The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Coronavirus Pandemic (COVID-19): Emotional Toll Analysis on Twitter
Abstract
People are afraid about COVID-19 and are actively talking about it on social media platforms such as Twitter. People are showing their emotions openly in their tweets on Twitter. It's very important to perform sentiment analysis on these tweets for finding COVID-19's impact on people's lives. Natural language processing, textual processing, computational linguists, and biometrics are applied to perform sentiment analysis to identify and extract the emotions. In this work, sentiment analysis is carried out on a large Twitter dataset of English tweets. Ten emotional themes are investigated. Experimental results show that COVID-19 has spread fear/anxiety, gratitude, happiness and hope, and other mixed emotions among people for different reasons. Specifically, it is observed that positive news from top officials like Trump of chloroquine as cure to COVID-19 has suddenly lowered fear in sentiment, and happiness, gratitude, and hope started to rise. But, once FDA said, chloroquine is not effective cure, fear again started to rise.
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The language of emotions: An analysis of a semantic field
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Dissemination of health information through social networks: Twitter and antibiotics
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Too much Facebook? An exploratory examination of social media fatigue
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Cited by
Sulis, G., Batomen, B., Kotwani, A., Pai, M., & Gandra, S. (2021) · PLoS Medicine · doi:10.1371/journal.pmed.1003682 · Cited by 117
Khai, T. S. (2023) · Journal of Migration and Health · doi:10.1016/j.jmh.2023.100194 · Cited by 14
Metadata
- Authors
- Alowibdi, J. S., Alshdadi, A. A., Daud, A., Dessouky, M. M., & Alhazmi, E. A.
- Venue
- Research Anthology on Implementing Sentiment Analysis Across Multiple Disciplines
- Publisher
- IGI Global
- Published
- 2022-06-10
- Pages
- 1761-1782
- OpenAlex
- W4286593299
- Cited by
- 380
- References
- 26
- FWCI
- 133.17
- Type
- book chapter
- Language
- ng
- Open access
- closed
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- Alowibdi, J. S., Alshdadi, A. A., Daud, A., Dessouky, M. M., & Alhazmi, E. A. (2022). Coronavirus Pandemic (COVID-19): Emotional Toll Analysis on Twitter. Research Anthology on Implementing Sentiment Analysis Across Multiple Disciplines. https://doi.org/10.4018/978-1-6684-6303-1.ch094
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