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A Machine-Learning Analysis of the Impacts of the COVID-19 Pandemic on Small Business Owners and Implications for Canadian Government Policy Response
This study applies a machine-learning technique to a dataset of 38,000 textual comments from Canadian small business owners on the impacts of coronavirus disease 2019 (COVID-19). Topic modelling revealed seven topics covering the short- and longer-term impacts of the pandemic, government relief prog...
Autores principales: | Isabelle, Diane A., Han, Yu (Jade), Westerlund, Mika |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
University of Toronto Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9395163/ https://www.ncbi.nlm.nih.gov/pubmed/36039356 http://dx.doi.org/10.3138/cpp.2021-018 |
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