{"title":"机器学习分析 COVID-19 大流行病对小企业主的影响及对加拿大政府应对政策的启示。","authors":"Diane A Isabelle, Yu Jade Han, Mika Westerlund","doi":"10.3138/cpp.2021-018","DOIUrl":null,"url":null,"abstract":"<p><p>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 programs and loan eligibility issues, mental health, and other impacts on business owners. The results emphasize the importance of policy response in aiding small business crisis management and offer implications for theory and policy. Moreover, the study provides an example of using a machine-learning-based automated content analysis in the fields of crisis management, small business, and public policy.</p>","PeriodicalId":56148,"journal":{"name":"Canadian Public Policy-Analyse De Politiques","volume":null,"pages":null},"PeriodicalIF":1.7000,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9395163/pdf/","citationCount":"0","resultStr":"{\"title\":\"A Machine-Learning Analysis of the Impacts of the COVID-19 Pandemic on Small Business Owners and Implications for Canadian Government Policy Response.\",\"authors\":\"Diane A Isabelle, Yu Jade Han, Mika Westerlund\",\"doi\":\"10.3138/cpp.2021-018\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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 programs and loan eligibility issues, mental health, and other impacts on business owners. The results emphasize the importance of policy response in aiding small business crisis management and offer implications for theory and policy. Moreover, the study provides an example of using a machine-learning-based automated content analysis in the fields of crisis management, small business, and public policy.</p>\",\"PeriodicalId\":56148,\"journal\":{\"name\":\"Canadian Public Policy-Analyse De Politiques\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2022-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9395163/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Canadian Public Policy-Analyse De Politiques\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://doi.org/10.3138/cpp.2021-018\",\"RegionNum\":3,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Canadian Public Policy-Analyse De Politiques","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.3138/cpp.2021-018","RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
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 programs and loan eligibility issues, mental health, and other impacts on business owners. The results emphasize the importance of policy response in aiding small business crisis management and offer implications for theory and policy. Moreover, the study provides an example of using a machine-learning-based automated content analysis in the fields of crisis management, small business, and public policy.
期刊介绍：
Canadian Public Policy is Canada"s foremost journal examining economic and social policy. The aim of the journal is to stimulate research and discussion of public policy problems in Canada. It is directed at a wide readership including decision makers and advisers in business organizations and governments, and policy researchers in private institutions and universities. Because of the interdisciplinary nature of many public policy issues, the contents of each volume aim to be representative of various disciplines involved in public policy issues. This quarterly journal publishes interdisciplinary articles in English or French. Abstracts are provided in both languages.
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