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http://dx.doi.org/10.15207/JKCS.2021.12.6.233

Home training trend analysis using newspaper big data and keyword analysis  

Chi, Dong-Cheol (Dept. of Sport Convergence, Korea University)
Kim, Sang-Ho (Division of Global Sports Studies, Korea University)
Publication Information
Journal of the Korea Convergence Society / v.12, no.6, 2021 , pp. 233-239 More about this Journal
Abstract
Recently, the COVID-19 virus has caused people to stay indoors longer without going out. As a result of this, people's activity decreased sharply, and their weight gained. So people became more interested in health. Home training can be an alternative method to solve this problem. Accordingly, To find out the trends of home training, we collected articles from December 1, 2019, to November 30, 2020, using the news provided by BIG KINDS, a news analysis system. We analyzed frequency analysis, relational analysis according to weighting, and related word analysis with the program using the algorithm developed by BIG KINDS. In conclusion, first, it was found that home training is led by technology and the emergence of artificial intelligence. Second, it can be assumed that people mainly do home training using content and video services related to mobile carriers. Third, people had a high preference for Pilates in the sports category. It can be seen that the number of patent applications increased as the demand for exercise products related to Pilates increased. In the next study, we expect that this study will be used as primary data for various big data studies by supplementing the research methodology and conducting various analyses.
Keywords
Big Data; COVID-19; Home Training; Keyword Analysis; Trend Analysis;
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