Zou Yuxin, Zhao Qiuhao, Wang Bingbing, Chen Guangping
School of Physical Education, Shanghai University of Sport, Shanghai, China.
School of Earth Sciences, Zhejiang University, Hangzhou, China.
PLoS One. 2025 May 7;20(5):e0319476. doi: 10.1371/journal.pone.0319476. eCollection 2025.
In the context of consumer economics, it is imperative to consider the functionality of sports venues based on customer demand. However, traditional survey methods are time-consuming, resource-intensive, and coverage-limited. This paper conducted sentiment mining based on Internet big data, deep learning, topic analysis, and social network analysis to capture the satisfaction of consumers and its influencing factors. Findings indicate that activity, courses, and facilities are core factors driving positive comments. Coaches, environment, and activities are key determinants influencing neutral evaluations. Attitude, integrity, and qualifications can trigger negative reviews. The findings offer insights into developing consumer-friendly service for sports venues.
在消费经济学的背景下，根据客户需求来考虑体育场馆的功能至关重要。然而，传统的调查方法耗时、资源密集且覆盖范围有限。本文基于互联网大数据、深度学习、主题分析和社会网络分析进行情感挖掘，以获取消费者的满意度及其影响因素。研究结果表明，活动、课程和设施是引发正面评价的核心因素。教练、环境和活动是影响中性评价的关键决定因素。态度、诚信和资质可能引发负面评价。这些研究结果为体育场馆开发消费者友好型服务提供了见解。
