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KMID : 1155220230480010015
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Journal of the Korean Society of Health Information and Health Statistics
2023 Volume.48 No. 1 p.15 ~ p.25
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Changes in the Perception of Home Training Using Text Mining Techniques: Comparison between before and after the COVID-19 Pandemic
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Lee Myung-Chul
Lee Jang-Sub
Han Dong-Il
Han Kyung-Hun
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Abstract
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Objectives: The purpose is to study how the perception of home training has changed through data comparison before and after the COVID-19 pan- demic, to find out the changes in people’s perception of home training, which has become a new sports culture, to provide basic data and to suggest directions on how research using big data can be used in the sports field.
Methods: In order to compare before and after the COVID-19 pandemic, text mining analysis was conducted by setting keywords as home training in Naver and Daum by setting from February 1, 2020 to November 30, 2020, when the first COVID-19 confirmed patient in Korea came out, and from February 1, 2019, to November 30, 2019.
Results: As a result of CONCOR analysis between words related to home training, a total of 16 clusters were formed, eight each, including smart home training, YouTube, and health programs before COVID-19, and eight each, including smart home training, YouTube, and home training exercise equipment and types.
Conclusions: This study can be used as a tool to understand the market status, trends, and directions of interest by grasping the public’s perception and status of home training.
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KEYWORD
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Text mining, COVID-19, Home training, Pandemic, Exercise
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