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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| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2022
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| Texto completo: | https://hdl.handle.net/1822/76423 |
| País: | Portugal |
| Oai: | oai:repositorium.sdum.uminho.pt:1822/76423 |