Effect of daily new cases of COVID-19 on public sentiment and concern: Deep learning-based sentiment classification and semantic network analysis
Author:
Funder
National Research Foundation of Korea
Publisher
Springer Science and Business Media LLC
Subject
Public Health, Environmental and Occupational Health
Link
https://link.springer.com/content/pdf/10.1007/s10389-023-01833-4.pdf
Reference22 articles.
1. Che S, Nan D, Kamphuis P, Zhang S and Kim JH (2022a) Examining Crisis Communication Using Semantic Network and Sentiment Analysis: A Case Study on NetEase Games. Front Psychol 13:823415. https://doi.org/10.3389/fpsyg.2022.823415
2. Che S, Zhang S, Kim JH (2022b) How public health agencies communicate with the public on TikTok under the normalization of COVID-19: A case of 2022 Shanghai’s outbreak. Front Public Health 10:1039405. https://doi.org/10.3389/fpubh.2022.1039405
3. Chen Q, Min C, Zhang W, Ma X, Evans R (2021) Factors driving citizen engagement with government TikTok accounts during the COVID-19 pandemic: Model development and analysis. J Med Internet Res 23(2):e21463. https://doi.org/10.2196/21463
4. Cheshmehzangi A, Zou T, Su Z (2022) Commentary: China's zero-COVID approach depends on Shanghai's outbreak control. Front Public Health 10. https://doi.org/10.3389/fpubh.2022.912992
5. Choi EPH, Hui BPH, Wan EYF, Kwok JYY, Tam THL, Wu C (2021) COVID-19 and health-related quality of life: A community-based online survey in Hong Kong. Int J Environ Res Public Health 18(6):3228. https://doi.org/10.3390/ijerph18063228
Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Comprehensive review and comparative analysis of transformer models in sentiment analysis;Knowledge and Information Systems;2024-09-06
2. Shifting sentiments: analyzing public reaction to COVID-19 containment policies in Wuhan and Shanghai through Weibo data;Humanities and Social Sciences Communications;2024-08-29
3. Local government social media use, citizen satisfaction, and citizen compliance: Evidence from the COVID-19 outbreak in Shanghai;International Journal of Disaster Risk Reduction;2024-02
4. Deep Learning for Journalism: The Bibliometric Analysis of Deep Learning for News Production in the Artificial Intelligence Era;Communications in Computer and Information Science;2024
5. A Review of Sentimental Analysis for Vaccine Dataset Using BI-LSTM Method;2023 IEEE International Conference on ICT in Business Industry & Government (ICTBIG);2023-12-08
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3