探索人们针对COVID-19的推文的交互式可视化工具

S. Humayoun, Siddhita Chimote
{"title":"探索人们针对COVID-19的推文的交互式可视化工具","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":"{\"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}","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

摘要

推特已经成为一个强大的媒体,人们表达自己的感受和对一些最近的事件或正在发生的事件的反应。分析和探索这样的推文数据,让我们从人的角度深入了解潜在的事件。在这项工作中,我们利用可视化的力量来探索2020年4月至2021年3月期间人们关于COVID-19大流行的推文。我们使用了大量的可视化目标来显示人们的推文随着时间的推移的情感极性,以及人们推文中的重要关键词及其随时间的演变。由此产生的可视化结果使我们有机会探索人们在整个大流行年份的感受和反应,并了解它是如何随着时间的推移而演变的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
An Interactive Visualization Tool to Explore People’s Tweets towards COVID-19
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
EcoGO: Combining eco-feedback and gamification to improve the sustainability of driving style DeBORAh: A Web-Based Cross-Device Orchestration Layer CoPDA 2022 - Cultures of Participation in the Digital Age: AI for Humans or Humans for AI? Exploring a Multi-Device Immersive Learning Environment End-User Programming and Math Teachers: an Initial Study
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1