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KMID : 1157520210170030077
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International Journal of Clinical Preventive Dentistry
2021 Volume.17 No. 3 p.77 ~ p.84
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Analysis of Issues in Dentistry Using Topic Modeling
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Moon Kyung-Hui
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Abstract
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Objective: This study collected articles released by BIGKinds (www.bigkinds.or.kr), which is a big data service made available by the Korea Press Foundation, by applying search keywords including “corona“ and “dentistry“ from January 6, 2020 to June 30, 2021.
Methods: Data extracted using NetMiner (Cyram Inc., Seongnam, Korea) was subject to a refining process to extract only keywords with a Term Frequency-Inverse Document Frequency coefficient of 0.5 or higher and Latent Dirichlet Allocation topic modeling was performed to derive the topics.
Results: Of the 5 derived topics, the topic accounting for the greatest portion was “vaccination”, followed by “dental health care”, “medical industry”, “time of confusion during the COVID-19 pandemic”, and “changes in daily life during the COVID-19 pandemic”.
Conclusion: The biggest issue in the dental sector in 2020 and the first half of 2021 due to the spread of COVID-19 were found to be “vaccination”, “dental health care”, “medical industry”, “time of confusion during the COVID-19 pandemic”, and “changes in daily life during the COVID-19 pandemic”. In the future, research should be conducted to better understand changes in the dental sector and plans for systematically resolving such issues.
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KEYWORD
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dentistry, COVID-19, news articles, topic modeling
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Listed journal information
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