Analyzing user-generated content using natural language processing: a case study of public satisfaction with healthcare systems
Crossref DOI link: https://doi.org/10.1007/s42001-021-00148-2
Published Online: 2021-10-29
Published Print: 2022-05
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Ruelens, Anna
Text and Data Mining valid from 2021-10-29
Version of Record valid from 2021-10-29
Article History
Received: 6 July 2020
Accepted: 6 October 2021
First Online: 29 October 2021
Declarations
:
: On behalf of all authors, the corresponding author states that there is no conflict of interest.