Adapting recurrent neural networks for classifying public discourse on COVID-19 symptoms in Twitter content

The COVID-19 infection, which began in December 2019, has claimed many lives and impacted all aspects of human life. With time, COVID-19 was identified as a pandemic outbreak by the World Health Organization (WHO), putting massive pressure on global health. During this ongoing pandemic, the exponent...

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Detalles Bibliográficos
Autores principales: Amin, Samina, Alharbi, Abdullah, Uddin, M. Irfan, Alyami, Hashem
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Focus
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9364288/
https://www.ncbi.nlm.nih.gov/pubmed/35966348
http://dx.doi.org/10.1007/s00500-022-07405-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9364288/
https://www.ncbi.nlm.nih.gov/pubmed/35966348
http://dx.doi.org/10.1007/s00500-022-07405-0

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