Study on Changes in Perceptions of E-Sports Using Social Big Data : Focusing on the Hangzhou Asian Games

This study aimed to analyze consumer perceptions of e-sports following the conclusion of the Hangzhou Asian Games using big data analysis. Data collection was conducted from October 9, 2023,<br/>the day after the closing of the Hangzhou Asian Games, to December 11, 2024, using the keyword &quote-sports.&quot Big data were collected from blogs, news articles, online communities, and web documents on Naver, Daum, and Google through the Textom platform. The data were analyzed using Word Frequency Analysis, Term Frequency-Inverse Document Frequency (TF-IDF) Analysis, Latent Dirichlet Allocation (LDA) Topic Modeling, and Opinion Mining Analysis. The results revealed that consumers exhibited significant interest in e-sports competitions, teams, and the nationalities of teams they support during international tournaments. Additionally, four distinct topics related to e-sports were identified. Based on these findings, this study provided a comprehensive understanding of consumer perceptions of e-sports from a macro perspective and offered practical implications for industry practitioners to promote the e-sports industry.

Authors

Publication Details

Journal
Korean Journal of Sports Science
Published
2025-02-28
DOI
https://doi.org/10.35159/kjss.2025.2.34.1.248
Primary Topic
Diverse Approaches in Healthcare and Education Studies
Type
article
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article

Study on Changes in Perceptions of E-Sports Using Social Big Data : Focusing on the Hangzhou Asian Games

Byeong Seok Min, Dae‐Hwan Kim
Korean Journal of Sports Science
Diverse Approaches in Healthcare and Education Studies
article

Study on Changes in Perceptions of E-Sports Using Social Big Data : Focusing on the Hangzhou Asian Games

Byeong Seok Min, Dae‐Hwan Kim
article en

Abstract

This study aimed to analyze consumer perceptions of e-sports following the conclusion of the Hangzhou Asian Games using big data analysis. Data collection was conducted from October 9, 2023,<br/>the day after the closing of the Hangzhou Asian Games, to December 11, 2024, using the keyword &quote-sports.&quot Big data were collected from blogs, news articles, online communities, and web documents on Naver, Daum, and Google through the Textom platform. The data were analyzed using Word Frequency Analysis, Term Frequency-Inverse Document Frequency (TF-IDF) Analysis, Latent Dirichlet Allocation (LDA) Topic Modeling, and Opinion Mining Analysis. The results revealed that consumers exhibited significant interest in e-sports competitions, teams, and the nationalities of teams they support during international tournaments. Additionally, four distinct topics related to e-sports were identified. Based on these findings, this study provided a comprehensive understanding of consumer perceptions of e-sports from a macro perspective and offered practical implications for industry practitioners to promote the e-sports industry.

Korean Journal of Sports ScienceVol. 34(1)
Reduced inequalities
Openalex Percentile: Top 93%
Diverse Approaches in Healthcare and Education Studies
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