{"title":"An Interactive Visualization Tool to Explore People’s Tweets towards COVID-19","authors":"S. Humayoun, Siddhita Chimote","doi":"10.1145/3531073.3534496","DOIUrl":null,"url":null,"abstract":"The Twitter has become a powerful medium for people to express their feelings and reactions towards some recent event or happening event. Analyzing and exploring such tweet data gives us in-depth understanding of the underlying event from people perspectives. In this work, we use the power of visualization to explore people’s tweets regarding the COVID-19 pandemic from the time period between April 2020 and March 2021. We use a number of visualizations targeting to show the sentimental polarity of people’s tweets over time and important keywords in people’s tweets and their evolution over time. The resulting visualizations give us an opportunity to explore people’s feelings and reactions during a whole pandemic year and to see how it evolved over time.","PeriodicalId":412533,"journal":{"name":"Proceedings of the 2022 International Conference on Advanced Visual Interfaces","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2022 International Conference on Advanced Visual Interfaces","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3531073.3534496","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The Twitter has become a powerful medium for people to express their feelings and reactions towards some recent event or happening event. Analyzing and exploring such tweet data gives us in-depth understanding of the underlying event from people perspectives. In this work, we use the power of visualization to explore people’s tweets regarding the COVID-19 pandemic from the time period between April 2020 and March 2021. We use a number of visualizations targeting to show the sentimental polarity of people’s tweets over time and important keywords in people’s tweets and their evolution over time. The resulting visualizations give us an opportunity to explore people’s feelings and reactions during a whole pandemic year and to see how it evolved over time.