Online Public Opinion Assessment for Sport Events Using Text Sentiment Analysis: A Case Study of Chinese Weibo Responses to the Summer Olympic Games in Tokyo

Sport events play a vital role in shaping national and urban images, attracting significant attention, and influencing online public opinion. Effective monitoring and management of this opinion are essential for the successful execution of these events. This case study examines the characteristics of online public opinions on the Chinese social media platform Weibo during the 2020 Tokyo Olympics using time analysis, text-frequency analysis, and sentiment analysis utilizing tools such as Python, ROSTCM6, and ROSTEA. By establishing an assessment system for online public sentiment and proposing management strategies, this case study provides valuable insights into public opinion trends and offers a theoretical foundation for stakeholders to respond effectively.