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Deep learning modeling of public’s sentiments towards temporal evolution of COVID-19 transmission
Public sentiments towards global pandemics are important for public health assessment and disease control. This study develops a modularized deep learning framework to quantify public sentiments towards COVID-19, followed by leveraging the predicted sentiments to model and forecast the daily growth...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier B.V.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9583649/ https://www.ncbi.nlm.nih.gov/pubmed/36281433 http://dx.doi.org/10.1016/j.asoc.2022.109728 |