A case study of using natural language processing to extract consumer insights from tweets in American cities for public health crises

BACKGROUND: The COVID-19 pandemic was a “wake up” call for public health agencies. Often, these agencies are ill-prepared to communicate with target audiences clearly and effectively for community-level activations and safety operations. The obstacle is a lack of data-driven approaches to obtaining...

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Detalles Bibliográficos
Autores principales: Wang, Ye, Willis, Erin, Yeruva, Vijaya K., Ho, Duy, Lee, Yugyung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10206352/
https://www.ncbi.nlm.nih.gov/pubmed/37226165
http://dx.doi.org/10.1186/s12889-023-15882-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10206352/
https://www.ncbi.nlm.nih.gov/pubmed/37226165
http://dx.doi.org/10.1186/s12889-023-15882-7

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