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

Journal: PloS one
Published Date: Jan 1, 2021

Abstract

BACKGROUND: Online reviews may act as a rich source of data to assess the quality of dental practices. Assessing the content and sentiment of reviews on a large scale is time consuming and expensive. Automation of the process of assigning sentiment to big data samples of reviews may allow for reviews to be used as Patient Reported Experience Measures for primary care dentistry.

Authors

  • Matthew Byrne
    Faculty of Biology, Division of Dentistry, Medicine and Health, School of Medical Sciences, University of Manchester, Manchester, England, United Kingdom.
  • Lucy O'Malley
    Faculty of Biology, Division of Dentistry, Medicine and Health, School of Medical Sciences, University of Manchester, Manchester, England, United Kingdom.
  • Anne-Marie Glenny
    Faculty of Biology, Division of Dentistry, Medicine and Health, School of Medical Sciences, University of Manchester, Manchester, England, United Kingdom.
  • Iain Pretty
    Faculty of Biology, Division of Dentistry, Medicine and Health, School of Medical Sciences, University of Manchester, Manchester, England, United Kingdom.
  • Martin Tickle
    Faculty of Biology, Division of Dentistry, Medicine and Health, School of Medical Sciences, University of Manchester, Manchester, England, United Kingdom.

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