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...

Descripción completa

Detalles Bibliográficos
Autores principales: Isabelle, Diane A., Han, Yu (Jade), Westerlund, Mika
Formato: Online Artículo Texto
Lenguaje:English
Publicado: University of Toronto Press 2022
Materias:
The COVID-19 Pandemic/La Pandémie de COVID-19
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

Internet

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

Ejemplares similares