Determining the Factors Influencing the Success of Sports Entertainment Programs using Big Data Analysis : Focussing on “A Clean Sweep”

Abstract

PURPOSE This study aimed to identify the factors influencing the success of the sports entertainment program “A Clean Sweep” using big data analysis.METHODS Text mining, sentiment analysis, TF-IDF, connection centrality, and semantic network analysis were conducted using the social big data analysis program Textom and social network analysis program Ucinet6. The research period was limited from June 6, 2022 to November 30, 2023.RESULTS The factors determining success were entertainment programs, Monday, OTT, and independent league. The events and marketing factors were extracted, and A Clean Sweep X Kelly, A Clean Sweep X Mom love, cheering song, uniforms, and direct viewing day influenced success. The new hire factors were rookie draft, Young-Mook Hwang, Sung-Joon Won, and Hyun-Soo Jeong. Positive (such as good, fun, looking forward to, best, and funny) and negative (such as esoteric, regrettable, shocking, dislike, and uncomfortable) emotional factors were also extracted. The extracted star marketing factors were directors (Seung-Yup Lee, Sung-Geun Kim) and players (Dae-Ho Lee, Geun-Woo Jung, Hee-Kwan Yoo, Moon-Ho Kim, Yong-Taek Park, Taek-Geun Lee).CONCLUSIONS We were able to identify the success factors of “A Clean Sweep”, which we hope will contribute to the revitalization of professional baseball as well as sports entertainment programs.