Singh Maliha
University of Illinois at Chicago (UIC), Chicago, USA.
Bus Econ. 2023;58(1):24-33. doi: 10.1057/s11369-022-00299-8. Epub 2022 Dec 28.
The Coronavirus Aid, Relief, and Economic Security (CARES) Act was the largest stimulus package in US history. In this paper, I look into whether public sentiment improved in response to the CARES Act, and analyze public opinion regarding the CARES Act, implementing a Latent Dirichlet Allocation (LDA) model. The sentiment analysis results indicate a significant improvement of public sentiment following the announcement of the CARES Act, which fades away after a week but improves again as the date to receive the first stimulus check approaches. The topic modeling results highlight support toward certain programs and some criticism of the CARES Act.
《冠状病毒援助、救济和经济安全法案》(CARES法案)是美国历史上规模最大的经济刺激计划。在本文中,我研究了公众情绪是否因CARES法案而改善,并使用潜在狄利克雷分配(LDA)模型分析了公众对CARES法案的看法。情绪分析结果表明,在CARES法案宣布后,公众情绪有显著改善,这种改善在一周后消退,但随着首次刺激支票发放日期的临近又再次改善。主题建模结果突出了对某些项目的支持以及对CARES法案的一些批评。