Key Attributes and Clusters of the Korean Exercise Healthcare Industry Viewed through Big Data: Comparison before and after the COVID-19 Pandemic.

This study aims to predict the characteristics of the exercise healthcare industry in the post-pandemic era by comparing the periods before and after the coronavirus disease 2019 outbreak through big data analysis. TEXTOM, the Korean big data collection and analysis solution, was used for data collection. The pre-pandemic period was defined as 1 January 2018-31 December 2019 and the pandemic period as 1 January 2020-31 December 2021. The keywords for data collection were "exercise + healthcare + industry". Text mining and social network analysis were conducted to determine the overall characteristics of the Korean exercise healthcare industry. We identified 30 terms that appeared most frequently on social media. Four common (, , , and ) and six different clusters (, , , , , and ) were obtained for the pre-pandemic and pandemic periods. , , , and are still important values across both periods. The results provide meaningful data and offer valuable insights to explore the changing trends in exercise healthcare.