This paper is in the following e-collection/theme issue:

JMIR Theme Issue: COVID-19 Special Issue (2391) Infodemiology and Infoveillance (1273) Outbreak and Pandemic Preparedness and Management (1675) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1482) Infectious Diseases (non-STD/STI) (1485) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1012)

Published on in Vol 23, No 3 (2021): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27078, first published .
Temporal Dynamics of Public Emotions During the COVID-19 Pandemic at the Epicenter of the Outbreak: Sentiment Analysis of Weibo Posts From Wuhan

Temporal Dynamics of Public Emotions During the COVID-19 Pandemic at the Epicenter of the Outbreak: Sentiment Analysis of Weibo Posts From Wuhan

Temporal Dynamics of Public Emotions During the COVID-19 Pandemic at the Epicenter of the Outbreak: Sentiment Analysis of Weibo Posts From Wuhan

Authors of this article:

Shaobin Yu1 Author Orcid Image ;   David Eisenman2, 3 Author Orcid Image ;   Ziqiang Han1, 4 Author Orcid Image
Article Authors Cited by (27) Tweetations (2) Metrics

Journals

  1. Sarsam S, Al-Samarraie H. Early-stage detection of eye diseases on microblogs: glaucoma recognition. International Journal of Information Technology 2022;14(1):255 View
  2. Du Z, Zhang X, Wang L, Yao S, Bai Y, Tan Q, Xu X, Pei S, Xiao J, K. Tsang T, Liao Q, H. Y. Lau E, Wu P, Gao C, J. Cowling B. Characterizing Human Collective Behaviors During COVID-19 — Hong Kong SAR, China, 2020. China CDC Weekly 2023;5(4):71 View
  3. Wu K, Wu J, Li Y. Mining typhoon victim information based on multi-source data fusion using social media data in China: a case study of the 2019 Super Typhoon Lekima. Geomatics, Natural Hazards and Risk 2022;13(1):1087 View
  4. Tan H, Peng S, Zhu C, You Z, Miao M, Kuai S. Long-term Effects of the COVID-19 Pandemic on Public Sentiments in Mainland China: Sentiment Analysis of Social Media Posts. Journal of Medical Internet Research 2021;23(8):e29150 View
  5. Yuan L, Wang M, Umakanthan S. The emotion bias of health product consumers in the context of COVID-19. PLOS ONE 2022;17(11):e0278219 View
  6. Chen Y, Zhang Z. An easy numeric data augmentation method for early-stage COVID-19 tweets exploration of participatory dynamics of public attention and news coverage. Information Processing & Management 2022;59(6):103073 View
  7. Zhang Z, Feng G, Xu J, Zhang Y, Li J, Huang J, Akinwunmi B, Zhang C, Ming W. The Impact of Public Health Events on COVID-19 Vaccine Hesitancy on Chinese Social Media: National Infoveillance Study. JMIR Public Health and Surveillance 2021;7(11):e32936 View
  8. Chai Y, Palacios J, Wang J, Fan Y, Zheng S, Sasahara K. Measuring daily-life fear perception change: A computational study in the context of COVID-19. PLOS ONE 2022;17(12):e0278322 View
  9. Chen X, Yik M. The Emotional Anatomy of the Wuhan Lockdown: Sentiment Analysis Using Weibo Data. JMIR Formative Research 2022;6(11):e37698 View
  10. Atabekova A, Lutskovskaia L, Kalashnikova E. Axiology of Covid-19 as a linguistic phenomenon. Journal of Information Science 2024;50(1):245 View
  11. Wang T, Li Q, Liu H, Shi Q, Yang F, Zhang B, Ahmed F, Jian W, Guo J. Gender difference in the relationship between personality traits and changes in depressive symptoms before and after the COVID-19 outbreak: A follow-up study among Chinese adults. Journal of Affective Disorders 2023;326:49 View
  12. Liu X, Zhou S, Chi X. How Do Team-Level and Individual-Level Linguistic Styles Affect Patients’ Emotional Well-Being—Evidence from Online Doctor Teams. International Journal of Environmental Research and Public Health 2023;20(3):1915 View
  13. Fang F, Wang T, Tan S, Chen S, Zhou T, Zhang W, Guo Q, Liu J, Holme P, Lu X. Network Structure and Community Evolution Online: Behavioral and Emotional Changes in Response to COVID-19. Frontiers in Public Health 2022;9 View
  14. Li L, Hua L, Gao F. What We Ask about When We Ask about Quarantine? Content and Sentiment Analysis on Online Help-Seeking Posts during COVID-19 on a Q&A Platform in China. International Journal of Environmental Research and Public Health 2022;20(1):780 View
  15. Zhao S, Chen L, Liu Y, Yu M, Han H, Xue H. Deriving anti-epidemic policy from public sentiment: A framework based on text analysis with microblog data. PLOS ONE 2022;17(8):e0270953 View
  16. Xu H, Xiao M, Zeng J, Hao H. Green-Labelled Rice versus Conventional Rice: Perception and Emotion of Chinese Consumers Based on Review Mining. Foods 2022;12(1):87 View
  17. Rodríguez-Ibánez M, Casánez-Ventura A, Castejón-Mateos F, Cuenca-Jiménez P. A review on sentiment analysis from social media platforms. Expert Systems with Applications 2023;223:119862 View
  18. Zeng Z, Sun S, Li Q. Multimodal negative sentiment recognition of online public opinion on public health emergencies based on graph convolutional networks and ensemble learning. Information Processing & Management 2023;60(4):103378 View
  19. Feng X, Xiong J, Tang Z. To be rational or sensitive? The gender difference in how textual environment cue and personal characteristics influence the sentiment expression on social media. Telematics and Informatics 2023;80:101971 View
  20. Gandino G, Civilotti C, Finzi S, Gaboardi M, Guazzini A, Novara C, Procentese F, Santinello M, Sola T, Veglia F, Venera E, Di Fini G. Linguistic markers of processing the first months of the pandemic COVID-19: a psycholinguistic analysis of Italian university students' diaries. Current Psychology 2024;43(18):17018 View
  21. Md Suhaimin M, Ahmad Hijazi M, Moung E, Nohuddin P, Chua S, Coenen F. Social media sentiment analysis and opinion mining in public security: Taxonomy, trend analysis, issues and future directions. Journal of King Saud University - Computer and Information Sciences 2023;35(9):101776 View
  22. Lossio-Ventura J, Weger R, Lee A, Guinee E, Chung J, Atlas L, Linos E, Pereira F. A Comparison of ChatGPT and Fine-Tuned Open Pre-Trained Transformers (OPT) Against Widely Used Sentiment Analysis Tools: Sentiment Analysis of COVID-19 Survey Data. JMIR Mental Health 2024;11:e50150 View
  23. Lu M, Ali M, Zhang W, Kumar N. Mediation analysis of public emotions in response to policy implementation performance during crises: the case of COVID-19 management policies in the UK. Public Management Review 2024;26(8):2499 View
  24. Qiao T, Gao D, Lu G, Yi W, Lv Z. Association of gastrointestinal symptoms and skipping breakfast with anxiety and depressive symptoms in quarantined Chinese college students during the Shanghai 2022 lockdown: a cross sectional survey. BMC Psychiatry 2023;23(1) View
  25. Terry K, Yang F, Yao Q, Liu C. The role of social media in public health crises caused by infectious disease: a scoping review. BMJ Global Health 2023;8(12):e013515 View
  26. Zou N, Mi X, Xiao Y, Li Y, Hu N. Assessing urban park equity in Chaoyang District, Beijing using online review data. Scientific Reports 2024;14(1) View
  27. Ismail L, Shahin N, Materwala H, Hennebelle A, Frermann L. ML-NLPEmot: Machine Learning-Natural Language Processing Event-Based Emotion Detection Proactive Framework Addressing Mental Health. IEEE Access 2023;11:144126 View