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Estimating time-series changes in social sentiment @Twitter in U.S. metropolises during the COVID-19 pandemic
Since early 2020, the global coronavirus pandemic has strained economic activities and traditional lifestyles. For such emergencies, our paper proposes a social sentiment estimation model that changes in response to infection conditions and state government orders. By designing mediation keywords th...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Nature Singapore
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9660099/ https://www.ncbi.nlm.nih.gov/pubmed/36405087 http://dx.doi.org/10.1007/s42001-022-00186-4 |