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)

서지정보

· 발행기관 : 한국보건정보통계학회
· 수록지 정보 : 보건정보통계학회지 / 48권 / 1호 / 15 ~ 25페이지
· 저자명 : 이명철, 이장섭, 한동일, 한경훈

초록

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.

영어초록

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.

참고자료

· 없음