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足球的AI转型:深度学习对足球的流行病研究演变的分析

Jea Woog Lee¹, Sangmin Song², YoungBin Kim³

¹Intelligent Information Processing Lab, Chung-Ang University, Seoul, Republic of Korea.

Frontiers in psychology

|November 1, 2023

概括

在COVID-19期间,对足球的研究发生了转变,更多地关注训练和下肢受伤. 疫情后,这些变化为足球科学和体育医学提供了新的研究方向.

科学领域:

运动科学运动科学运动科学
运动医学运动医学
社会科学社会科学社会科学

背景情况:

COVID-19大流行严重影响了全球的日常工作和研究.
了解足球中科学调查的转变对于未来的研究方向至关重要.

研究的目的:

识别和比较COVID-19大流行之前 (2018-2020) 和期间 (2021-2022) 发表的足球文章中的研究趋势和兴趣.
分析与足球相关的社会科学,体育科学和体育医学研究的变化.

主要方法:

利用来自变压器的双向编码器表示 (BERT) 话题建模来分析与足球相关的期刊文章.
社会科学 (心理学,社会学,商业,技术) 和体育科学/医学的分类研究.

主要成果:

在疫情期间确定了研究重点的转变,包括对家庭优势的新方法.
观察到体育科学和医学的变化,更多地强调性能训练方法和下肢受伤而不是头部受伤.
在疫情期间,训练主题比比赛表现更为突出.

结论:

疫情引起的足球研究变化为后疫情调查提供了机会.
研究人员和从业人员可以利用这些转变来确定足球的未来趋势和研究方向.

关键词:

贝尔特 (BERT) 公司在 COVID-19 疫情中,数据科学数据科学足球足球足球足球流行病是一种流行病.研究趋势研究趋势研究足球足球足球主题建模主题建模

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