Analyzing the Rate of Increase in Vaccines Administrated Versus Twitter Sentiment Analysis

Yuhao Xie, Tengjiang Wang, Hexuan Zhang, Tianyuan Yan
{"title":"Analyzing the Rate of Increase in Vaccines Administrated Versus Twitter Sentiment Analysis","authors":"Yuhao Xie, Tengjiang Wang, Hexuan Zhang, Tianyuan Yan","doi":"10.1145/3543106.3543119","DOIUrl":null,"url":null,"abstract":"Whether to take vaccines or not is a controversial topic on Twitter. This paper will focus on the California, USA and find if there is a relationship between people's attitudes toward vaccines on Twitter and the rate of increase in the number of the primary series administrated. The relationship then can be trained as a model to predict the rate of increase in the number of booster shots administrated in the US by performing sentiment analysis on the current Twitter comments regarding the booster shots. NLP techniques will be applied on tweets, and machine learning techniques will be used to find the relationship and make the prediction.","PeriodicalId":150494,"journal":{"name":"Proceedings of the 2022 International Conference on E-business and Mobile Commerce","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2022 International Conference on E-business and Mobile Commerce","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3543106.3543119","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

Whether to take vaccines or not is a controversial topic on Twitter. This paper will focus on the California, USA and find if there is a relationship between people's attitudes toward vaccines on Twitter and the rate of increase in the number of the primary series administrated. The relationship then can be trained as a model to predict the rate of increase in the number of booster shots administrated in the US by performing sentiment analysis on the current Twitter comments regarding the booster shots. NLP techniques will be applied on tweets, and machine learning techniques will be used to find the relationship and make the prediction.
分析接种疫苗的增长率与推特情绪分析
是否接种疫苗是推特上一个有争议的话题。本文将以美国加利福尼亚州为研究对象,研究人们在Twitter上对疫苗的态度与初级系列疫苗接种数量的增长率之间是否存在关系。然后,这种关系可以被训练成一个模型,通过对当前Twitter上关于加强注射的评论进行情绪分析,来预测美国加强注射数量的增长率。NLP技术将应用于推文,机器学习技术将用于寻找关系并进行预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信