基于数据挖掘的杭州亚运会赛事舆情研究

Research on Public Opinion of Hangzhou Asian Games Events Based on Data Mining

文章采用自然语言处理、机器学习和话语分析理论相结合的方法分析媒体话语,拓宽话语分析的边界,用跨学科框架更加客观、系统地分析媒体报道。通过运用爬虫技术、聚类算法等计算工具和话语分析工具,结合跨学科理论实现研究方法的创新,同时在实践层面,助力杭州和中国政府在后亚运时代传播积极的声音。

This article adopts a combination of natural language processing,machine learning,and discourse analysis theory to analyze media discourse,aiming to broaden the boundaries of discourse analysis,and analyze media reports in a more objective and systematic manner based on an interdisciplinary framework.Furthermore,with the help of computational tools such as crawler technology and clustering algorithms,as well as discourse analysis tools,innovation in research methods is achieved.At the practical level,it helps Hangzhou and the Chinese government to spread positive voices in the post-Asian Games era.