Cargando…
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...
| Autores principales: | , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2023
|
| Materias: | |
| 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 |