Article

Measuring Subjective Human Sentiment in Public Spaces Before and During the COVID-19 Pandemic: Using Twitter Data in Manhattan, New York City

2023-03-31

Abstract excerpt

In the mist of the COVID-19 pandemic, public spaces have taken on a more prominent role in human society. Using natural language processing techniques combined with a Difference-in-Differences approach, this study explores how subjective human sentiments expressed in tweets within either publicly owned public spaces (Pub-OPS) or privately owned public spaces (POPS) vary before and after the onset of the COVID-19 p...

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Literature Corpus work: 86dfdb88-95a5-5b5b-ba66-2d5a3b0e8086
DOI: 10.2139/ssrn.4402297

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