通过文本挖掘,分析2020年棒球公告板上的COVID-19相关用户内容
Shang-Chun Ma1, Ching-Ya Su1, Sheng-Fong Chen2
1Institute of Physical Education, Health and Leisure Studies, National Cheng Kung University, No. 1, Daxue Road, East District, Tainan 701401, Taiwan.
Behavioral sciences (Basel, Switzerland)
|July 28, 2023
概括
在COVID-19期间,台湾
科学领域:
- 体育管理体育管理
- 社交媒体分析
- 公共卫生 公共卫生
背景情况:
- COVID-19 流行病对全球体育产生了重大影响,导致了广泛的在线参与.
- 台湾成功控制疫情,使中国职业棒球联赛 (CPBL) 继续存在,吸引了国际关注.
- 在此期间,关于台湾最大的公告板系统 - - 专业技术寺 (PTT) 的在线讨论增加了.
研究的目的:
- 在COVID-19大流行期间分析PTT棒球委员会关于体育服务质量和社会身份的在线用户讨论.
- 构建一个预测模型,以理解与流行病和CPBL相关的用户评论.
- 探索有效的流行病预防,民族认同和体育参与之间的关系.
主要方法:
- 在2020年,PTT棒球委员会从422篇文章和21,167条评论中进行文本挖掘.
- 使用机器学习构建预测模型来分析用户评论.
- 开发一个聊天机器人来预测用户评论属性.
主要成果:
- 在CPBL闭门期间,用户在PTT上的互动增加,特别是在4月.
- 由于台湾的流行病控制,全球对CPBL的关注在使用者中培养了民族身份.
- 像英语和Twitch广播这样的边缘产品增强了这种民族身份感.
结论:
- 在线体育参与,特别是CPBL,在疫情期间充当了统一力量.
- 基于机器学习的聊天机器人可以帮助体育团队衡量公众意见并了解观众的趋势.
- 调查结果为在健康危机期间开发有针对性的在线观众计划提供了见解.
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