@article{ART002912927},
author={Yun-Jeong Kim and Jae-Hee Roh},
title={Research trends in dental hygiene based on topic modeling and semantic network analysis},
journal={Journal of Korean society of Dental Hygiene},
issn={2287-1705},
year={2022},
volume={22},
number={6},
pages={495-502},
doi={10.13065/jksdh.20220056}
TY - JOUR
AU - Yun-Jeong Kim
AU - Jae-Hee Roh
TI - Research trends in dental hygiene based on topic modeling and semantic network analysis
JO - Journal of Korean society of Dental Hygiene
PY - 2022
VL - 22
IS - 6
PB - Korean Society of Dental Hygiene
SP - 495
EP - 502
SN - 2287-1705
AB - 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.
KW - Dental hygiene;Research trends;Semantic network analysis;Topic modeling
DO - 10.13065/jksdh.20220056
ER -
Yun-Jeong Kim and Jae-Hee Roh. (2022). Research trends in dental hygiene based on topic modeling and semantic network analysis. Journal of Korean society of Dental Hygiene, 22(6), 495-502.
Yun-Jeong Kim and Jae-Hee Roh. 2022, "Research trends in dental hygiene based on topic modeling and semantic network analysis", Journal of Korean society of Dental Hygiene, vol.22, no.6 pp.495-502. Available from: doi:10.13065/jksdh.20220056
Yun-Jeong Kim, Jae-Hee Roh "Research trends in dental hygiene based on topic modeling and semantic network analysis" Journal of Korean society of Dental Hygiene 22.6 pp.495-502 (2022) : 495.
Yun-Jeong Kim, Jae-Hee Roh. Research trends in dental hygiene based on topic modeling and semantic network analysis. 2022; 22(6), 495-502. Available from: doi:10.13065/jksdh.20220056
Yun-Jeong Kim and Jae-Hee Roh. "Research trends in dental hygiene based on topic modeling and semantic network analysis" Journal of Korean society of Dental Hygiene 22, no.6 (2022) : 495-502.doi: 10.13065/jksdh.20220056
Yun-Jeong Kim; Jae-Hee Roh. Research trends in dental hygiene based on topic modeling and semantic network analysis. Journal of Korean society of Dental Hygiene, 22(6), 495-502. doi: 10.13065/jksdh.20220056
Yun-Jeong Kim; Jae-Hee Roh. Research trends in dental hygiene based on topic modeling and semantic network analysis. Journal of Korean society of Dental Hygiene. 2022; 22(6) 495-502. doi: 10.13065/jksdh.20220056
Yun-Jeong Kim, Jae-Hee Roh. Research trends in dental hygiene based on topic modeling and semantic network analysis. 2022; 22(6), 495-502. Available from: doi:10.13065/jksdh.20220056
Yun-Jeong Kim and Jae-Hee Roh. "Research trends in dental hygiene based on topic modeling and semantic network analysis" Journal of Korean society of Dental Hygiene 22, no.6 (2022) : 495-502.doi: 10.13065/jksdh.20220056
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Jae-Hee Roh
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