Abstract
The purpose of this study was to analyze research trends in dental hygiene using topic modeling and semantic network analysis. 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. 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. 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.
Figures & Tables
Fig. 1. Intertopic distance map of 5 topics
