{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,3,6]],"date-time":"2023-03-06T06:56:20Z","timestamp":1678085780223},"reference-count":0,"publisher":"IOS Press","license":[{"start":{"date-parts":[[2022,6,6]],"date-time":"2022-06-06T00:00:00Z","timestamp":1654473600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,6,6]]},"abstract":"<jats:p>COVID-19 pandemic is taking a toll on the social, economic, and psychological well-being of people. During this pandemic period, people have utilized social media platforms (e.g., Twitter) to communicate with each other and share their concerns and updates. In this study, we analyzed nearly 25M COVID-19 related tweets generated from 20 different countries and 28 states of USA over a month. We leveraged sentiment analysis and topic modeling over this collection and clustered different geolocations based on their sentiment. Our analysis identified 3 geo-clusters (country- and US state-based) based on public sentiment and discovered 15 topics that could be summarized under three main themes: government actions, medical issues, and people\u2019s mood during the home quarantine. The proposed computational pipeline has adequately captured the Twitter population\u2019s emotion and sentiment, which could be linked to government\/policy makers\u2019 decisions and actions (or lack thereof). We believe that our analysis pipeline could be instrumental for the policymakers in sensing the public emotion\/support with respect to the interventions\/actions taken, for example, by the government instrumentality.<\/jats:p>","DOI":"10.3233\/shti220170","type":"book-chapter","created":{"date-parts":[[2022,6,7]],"date-time":"2022-06-07T09:33:29Z","timestamp":1654594409000},"source":"Crossref","is-referenced-by-count":1,"title":["Linking Tweets Towards Geo-Localized Policies: COVID-19 Perspective"],"prefix":"10.3233","author":[{"given":"Sheikh Saifur Rahman","family":"Jony","sequence":"first","affiliation":[{"name":"Department of CSE, Bangladesh University of Engineering and Technology, West Palashi, Dhaka 1205, Bangladesh"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rifat","family":"Shahriyar","sequence":"additional","affiliation":[{"name":"Department of CSE, Bangladesh University of Engineering and Technology, West Palashi, Dhaka 1205, Bangladesh"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M. Saifur","family":"Rahman","sequence":"additional","affiliation":[{"name":"Department of CSE, Bangladesh University of Engineering and Technology, West Palashi, Dhaka 1205, Bangladesh"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M. Sohel","family":"Rahman","sequence":"additional","affiliation":[{"name":"Department of CSE, Bangladesh University of Engineering and Technology, West Palashi, Dhaka 1205, Bangladesh"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tanvir","family":"Alam","sequence":"additional","affiliation":[{"name":"College of Science and Engineering, Hamad Bin Khalifa University, Doha 34110, Qatar"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","MEDINFO 2021: One World, One Health \u2013 Global Partnership for Digital Innovation"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI220170","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,7]],"date-time":"2022-06-07T09:33:30Z","timestamp":1654594410000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI220170"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,6]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti220170","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,6,6]]}}}