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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Author(s). Published by Elsevier Ltd.
2022
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| Materias: | |
| 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 |