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Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing
The outbreak of the novel coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been continuously affecting human lives and communities around the world in many ways, from cities under lockdown to new social experiences. Although in most...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7676411/ https://www.ncbi.nlm.nih.gov/pubmed/33230352 http://dx.doi.org/10.1007/s11192-020-03744-7 |