Optimism and pessimism analysis using deep learning on COVID-19 related twitter conversations

This paper proposes a new deep learning approach to better understand how optimistic and pessimistic feelings are conveyed in Twitter conversations about COVID-19. A pre-trained transformer embedding is used to extract the semantic features and several network architectures are compared. Model perfo...

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Detalles Bibliográficos
Autores principales: Blanco, Guillermo, Lourenço, Anália
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier Ltd. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9758015/
https://www.ncbi.nlm.nih.gov/pubmed/36569234
http://dx.doi.org/10.1016/j.ipm.2022.102918

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9758015/
https://www.ncbi.nlm.nih.gov/pubmed/36569234
http://dx.doi.org/10.1016/j.ipm.2022.102918

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