A survey of perceptions on electronic protectors using big data analysis

This research aims to utilize big data analysis with "electronic protectors" as the main keyword, examining the situation and consumer perceptions of electronic protectors in Taekwondo. The goal is to propose practical applications and improvements based on the findings. The research methodology involves the use of social matrix big data programs such as TexTom and network analysis tool Ucinet6. Text mining, opinion mining, semantic network analysis, connectivity centrality, and TF-IDF were conducted. The data collection period was limited to January 1, 2021, to December 31, 2023. In the research results, word frequency analysis revealed that "electronic protectors," "Taekwondo," "Olympics," "Samsung Electronics," "protective gear," "competition," "gold medal," "athlete," "judging method," and "kicking" appeared in the top 10. In the TF-IDF analysis, "Taekwondo," "electronic protectors," "Olympics," "protective gear," "Samsung Electronics," "competition," "gold medal," "athlete," "judging method," and "kicking" were identified in the top 10. Lastly, in the connectivity centrality analysis, "Taekwondo," "electronic protectors," "judging method," "kicking," "controversy," "game," "competition," "technical issues," "World Taekwondo Federation," and "fairness" emerged in the top 10. The CONCOR analysis resulted in the formation of three groups: "Taekwondo," "Olympics," and "Issues with electronic protectors." It is hoped that the findings of this study will serve as foundational data for the improvement of electronic protectors and the development of Taekwondo.