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Open Access

Peer-reviewed

Research Article

Assessing the reliability of automatic sentiment analysis tools on rating the sentiment of reviews of NHS dental practices in England

Matthew Byrne ,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Writing – original draft

* E-mail: Matthew.byrne@manchester.ac.uk

Affiliation Faculty of Biology, Division of Dentistry, Medicine and Health, School of Medical Sciences, University of Manchester, Manchester, England, United Kingdom

https://orcid.org/0000-0002-0283-782X

⨯
Lucy O’Malley,

Roles Investigation, Methodology, Supervision, Writing – review & editing

Affiliation Faculty of Biology, Division of Dentistry, Medicine and Health, School of Medical Sciences, University of Manchester, Manchester, England, United Kingdom
⨯
Anne-Marie Glenny,

Roles Investigation, Methodology, Supervision, Writing – review & editing

Affiliation Faculty of Biology, Division of Dentistry, Medicine and Health, School of Medical Sciences, University of Manchester, Manchester, England, United Kingdom

https://orcid.org/0000-0003-4037-2899

⨯
Iain Pretty,

Roles Conceptualization, Supervision

Affiliation Faculty of Biology, Division of Dentistry, Medicine and Health, School of Medical Sciences, University of Manchester, Manchester, England, United Kingdom
⨯
Martin Tickle

Roles Conceptualization, Investigation, Supervision, Writing – review & editing

Affiliation Faculty of Biology, Division of Dentistry, Medicine and Health, School of Medical Sciences, University of Manchester, Manchester, England, United Kingdom
⨯

Assessing the reliability of automatic sentiment analysis tools on rating the sentiment of reviews of NHS dental practices in England

Matthew Byrne,
Lucy O’Malley,
Anne-Marie Glenny,
Iain Pretty,
Martin Tickle

x

Published: December 15, 2021
https://doi.org/10.1371/journal.pone.0259797

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