A case study of using natural language processing to extract consumer insights from tweets in American cities for public health crises
Crossref DOI link: https://doi.org/10.1186/s12889-023-15882-7
Published Online: 2023-05-24
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Wang, Ye
Willis, Erin
Yeruva, Vijaya K.
Ho, Duy
Lee, Yugyung
Text and Data Mining valid from 2023-05-24
Version of Record valid from 2023-05-24
Article History
Received: 5 August 2022
Accepted: 11 May 2023
First Online: 24 May 2023
Declarations
:
: Not applicable.
: The authors declare no competing interests.