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|a 10.1057/s11369-022-00299-8
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|a Singh, Maliha
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|a Public sentiment and opinion regarding the CARES Act
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|c 2023
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|a Date Revised 12.09.2024
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|a Citation Status PubMed-not-MEDLINE
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|a © National Association for Business Economics 2022, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
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|a 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
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|a Sentiment analyses
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|a Stimulus check
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|a Topic modeling
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|t Business economics (Cleveland, Ohio)
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