LDA-based topic modeling for COVID-19-related sports research trends

被引：8

作者：

Lee, Jea Woog ^{[1
]}

Kim, YoungBin ^{[2
]}

Han, Doug Hyun ^{[3
]}

机构：

[1] Chung Ang Univ, Intelligent Informat Proc Lab, Seoul, South Korea

[2] Chung Ang Univ, Dept Image Sci & Arts, Seoul, South Korea

[3] Chung Ang Univ, Dept Psychiat, Sch Med, Seoul, South Korea

来源：

FRONTIERS IN PSYCHOLOGY | 2022年 / 13卷

基金：

新加坡国家研究基金会;

关键词：

sport; COVID-19; research trend; topic modeling; data science; LDA algorithm;

D O I：

10.3389/fpsyg.2022.1033872

中图分类号：

B84 [心理学];

学科分类号：

04 ; 0402 ;

摘要：

IntroductionThe 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. MethodsSports 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'. ResultsAs 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. ConclusionThis 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.

引用

页数：10

共 65 条

[1] Towards Predicting Trend of Scientific Research Topics using Topic Modeling [J].

Abuhay, Tesfamariam M. ;

Nigatie, Yemisrach G. ;

Kovalchuk, Sergey, V .

7TH INTERNATIONAL YOUNG SCIENTISTS CONFERENCE ON COMPUTATIONAL SCIENCE, YSC2018, 2018, 136 :304-310

[2] Analysis of Scientific Publications During the Early Phase of the COVID-19 Pandemic: Topic Modeling Study [J].

Alga, Andreas ;

Eriksson, Oskar ;

Nordberg, Martin .

JOURNAL OF MEDICAL INTERNET RESEARCH, 2020, 22 (11)

[3] Beyond COVID-19 supernova. Is another education coming? [J].

Azorin, Cecilia .

JOURNAL OF PROFESSIONAL CAPITAL AND COMMUNITY, 2020, 5 (3-4) :381-390

[4]

Bas D., 2020, IMPACT COVID 19 SPOR

[5] ICT Skills of University Students from the Faculty of Sport and Physical Education during the COVID-19 Pandemic [J].

Batez, Maja .

SUSTAINABILITY, 2021, 13 (04) :1-13

[6]

Borgatti SP., 2009, ENCY COMPLEXITY SYST, P8279, DOI [DOI 10.1007/978-0-387-30440-3491, 10.1007/978-0-387-30440-3491, DOI 10.1007/978-0-387-30440-3_491, 10.1007/978-0-387-30440-3]

[7] The resumption of sports competitions after COVID-19 lockdown: The case of the Spanish football league [J].