ArticleFrontiers in psychology2022
LDA-based topic modeling for COVID-19-related sports research trends.
Article in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Research status and evolutionary trends of digital sports: a perspective of co-word analysis.Frontiers in sports and active living · 2026Review
- Article
- Impact of a game-based interprofessional education program on medical students' perceptions: a text network analysis using essays.BMC medical education · 2024Article
- Attitudes of the public and medical professionals toward nurse prescribing: A text-mining study based on social medias.International journal of nursing sciences · 2024Article
- Data Analysis of Psychological Approaches to Soccer Research: Using LDA Topic Modeling.Behavioral sciences (Basel, Switzerland) · 2023Article
- Soccer's AI transformation: deep learning's analysis of soccer's pandemic research evolution.Frontiers in psychology · 2023Article
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Authors and funding
3 authors.
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Abstract
Introduction: The COVID-19 pandemic could generate a turning point for introducing a new system for sports participation and business. The purpose of this study is to explore trends and topic structures of COVID-19-related sports research by analyzing the relevant literature. Methods: Sports studies related to COVID-19 were collected in searching international academic databases. After the pre-processing step using the refinement and morpheme analysis function of the Net Miner program, topic modeling and social network analysis were used to analyze Journal Citation Reports found using the search term 'COVID-19 sports'. Results: As a result, this study used subject modeling to reveal important potential topics in COVID-19-related sports research articles. 'Sports participation', 'elite players', and 'sports industry' were macroscopically classified, and detailed research topics could be identified from each division. Conclusion: This study revealed important latent topics from COVID-19-related sports research articles using topic modeling. The results of the research elucidate the structure of academic knowledge on this topic and provide guidance for future research.
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