Analysis on the Type of and Interest in Home Training Video Contents Using the YouTube Platform

• Published in: Ch'eyuk kwahak yŏn'gu Vol. 34; no. 1; pp. 13 - 21
• Main Authors: Hyo-Jun Yun, Jae-Hyeon Park, Minsoo Jeon
• Format: Journal Article
• Language: Korean
• Published: Korea Institute of Sport Science 01-03-2023
• Subjects: home training; interest analysis; topic modeling; type analysis; video contents; youtube
• ISSN: 1598-2920; 2233-7938
• DOI: 10.24985/kjss.2023.34.1.13

PURPOSE The purpose of this study is to analyze the type of and interest in home training video contents using the YouTube platform. METHODS Web crawling was performed using Python and a total of 3,937 sets ofvideo information (title, content, number of views, upload date) were obtained, 3,155 of which were finally selected for the study material. Overlapping and unrelated content were excluded. The data of text underwent 3 stages of preprocessing, the TF and TF-IDF of the keywords were calculated to identify the main keywords, and the LDA algorithm was applied in the topic modeling to successfully identify the types. In order to understand the level of interest by type, the number of views was subdivided into the percentage of the assigned type. RESULTS First, the types of home training videos were classified into bare whole body exercise for aerobic and muscular power strengthening, Pilates exercise for core and upper body strengthening, upper body exercise using tools, lower body line exercise, posture correction and upper body stretching exercise for pain relief, hip-up exercise, dance and tabata exercise for diet, diet and lower body correction stretching exercise for diet, and bare body exercise for core and lower body strengthening. Second, it was found that the proportion and interest were high in the contents of bare whole body exercise for aerobic and muscular power strengthening, dance and tabata exercise for diet, diet and lower body correction stretching exercise for diet. CONCLUSIONS The findings of this study may provide baseline data about the development of the active online home training videos in the market.