Analysis of Issues in Fitness Centers through News Articles before and after the COVID-19 Pandemic in South Korea: Applying Big Data Analysis

Abstract

This study aimed to identify major topics and trends of media reports in news articles related to fitness centers before and after COVID-19 using big data analysis and to suggest future improvements. We collected 20,528 news articles from 2018 to 2019 (pre-COVID-19) and 20,264 news articles from 2020 to 2021 (post-COVID-19) and conducted frequency analysis, topic modeling, and sentiment analysis. The top keywords related to fitness centers were fitness, health, healthcare, and center both before and after COVID-19, but after the outbreak of COVID-19, new keywords emerged, such as digital, COVID-19, indoor, confirmed, platform, and mobile. Since the COVID-19 pandemic, four topics were extracted: COVID-19 and Exercise, Digital Smart Health Care, Health and Beauty, and Indoor Sports Facilities and Quarantine. Sentiment analysis showed that the frequency of negative words increased by approximately three times since the COVID-19 pandemic. Due to COVID-19, the top keywords of the negative data in order were infection, virus, disease, and limit. Based on the identified major issues and trends related to the fitness industry, these results can be used as foundational data for the future planning and policy development of the fitness industry.