텍스트마이닝 기법을 활용한 홈트레이닝에 대한 인식 변화: 코로나바이러스감염증-19 팬데믹 이전과 이후 비교
Changes in the Perception of Home Training Using Text Mining Techniques: Comparison between before and after the COVID-19 Pandemic
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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 pandemic, 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.
Abstract
Objectives: The purpose is to study how the perception of home training has changed through data comparison before and after the COVID-19 pandemic, 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.
참고문헌 (22)
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