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The health, social and economic tolls associated with it are causing strong emotions and spreading fear in people of all ages, genders and races. Since the beginning of the COVID-19 pandemic, many have expressed their feelings and opinions related to a wide range of aspects of their lives via Twitter. In this study, we consider a framework for extracting sentiment scores and opinions from COVID-19\u2013related tweets. We connect users\u2019 sentiment with COVID-19 cases across the United States and investigate the effect of specific COVID-19 milestones on public sentiment. The results of this work may help with the development of pandemic-related legislation, serve as a guide for scientific work, as well as inform and educate the public on core issues related to the pandemic.<\/jats:p>","DOI":"10.1177\/01655515211068167","type":"journal-article","created":{"date-parts":[[2022,1,8]],"date-time":"2022-01-08T03:51:58Z","timestamp":1641613918000},"page":"1615-1630","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":6,"title":["The relationship between sentiment score and COVID-19 cases in the United States"],"prefix":"10.1177","volume":"49","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3202-3616","authenticated-orcid":false,"given":"Truong (Jack) P","family":"Luu","sequence":"first","affiliation":[{"name":"School of Information Technology, Illinois State University, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3749-9768","authenticated-orcid":false,"given":"Rosangela","family":"Follmann","sequence":"additional","affiliation":[{"name":"School of Information Technology, Illinois State University, USA"}]}],"member":"179","published-online":{"date-parts":[[2022,1,8]]},"reference":[{"key":"bibr1-01655515211068167","unstructured":"Coronavirus disease 2019 (covid-19) \u2013 symptoms and causes. 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