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Research trends in dental hygiene based on topic modeling and semantic network analysis

  • Journal of Korean society of Dental Hygiene
  • Abbr : J Korean Soc Dent Hyg
  • 2022, 22(6), pp.495-502
  • DOI : 10.13065/jksdh.20220056
  • Publisher : Korean Society of Dental Hygiene
  • Research Area : Medicine and Pharmacy > Dentistry
  • Received : November 9, 2022
  • Accepted : November 22, 2022
  • Published : December 30, 2022

Kim Yun Jeong 1 Jae-Hee Roh 2

1광주여자대학교
2Department of Pet Health, Kwangju Women’s University

Accredited

ABSTRACT

Objectives: The purpose of this study was to analyze research trends in dental hygiene using topic modeling and semantic network analysis. Methods: A total of 261 published studies were collected 686 key words from the Research Information Sharing Service (RISS) by 2019-2021. Topic modeling and semantic network analysis were performed using Textom. Results: The most frequently and frequency-inverse document frequently key words were ‘dental hygienist’, ‘oral health’, ‘elderly’, ‘periodontal disease’, ‘dental hygiene’. N-gram of key words show that ‘dental hygienist-emotional labor’, ‘dental hygienist-elderly’, ‘dental hygienist-job performance’, ‘oral health-quality of life’, ‘oral health-periodontal disease’ etc. were frequently. Key words with high degree centrality were ‘dental hygienist (0.317)’, ‘oral health (0.239)’, ‘elderly (0.127)’, ‘job satisfaction (0.057)’, ‘dental care (0.049)’. Extracted topics were 5 by topic modeling. Conclusions: Results from the current study could be available to know research trends in dental hygiene and it is necessary to improve more detailed and qualitative analysis in follow-up study.

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