A case study of using natural language processing to extract consumer insights from tweets in American cities for public health crises
Abstract 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 approa...
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| Main Authors: | , , , , |
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| Format: | Book |
| Published: |
BMC,
2023-05-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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