Abstract
The purpose of this study is to analyze the change of perception about professional baseball by using text mining technique. For this purpose, used websites, blogs, news, and cafes provided by Naver and Daum. Data analysis period was selected from January 1, 2014 to December 31, 2018 for a total of 5 years. For data collection and analysis, we extracted word frequency and metric data through Textom, a social metric program, and analyzed connection accuracy, network centrality, and network density using Ucinet 6.0 to understand the connection structure between words. And quantified. In order to visualize the quantified data, we used the NetDraw function of Ucinet 6.0 to visualize the network of words related to professional baseball. In addition, CONCOR analysis was performed to identify the clusters formed between each word. First, the results of the frequency analysis of the resulting words based on keywords, 2014 Players, Game, Nexen Heroes, 2015 Player, Samsung Lions, Game, 2016 player, Doosan Bears, Game, 2017 Player, Game, Asian professional baseball Key keywords followed in the Championship, 2018 athletes, Doosan Bears, and Nexen Heroes. Second, the result of conducting CONCOR analysis by collecting the result words that appeared specifically based on keywords. Best Player, Mobile Game, Intuition, 3rd, 2016 Event & Accident, All-Star Game, Opening, Contract, Sexual Abuse, Choi Hyung-woo, 4th, U + App in 2017, Fifth, the group was formed in 2018, Korean Series, Winning Team, Mobile Game, U+ App, Yang, Ui-ji, and Post Season.
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