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

Infodemiology and Infoveillance (1350) JMIR Theme Issue: COVID-19 Special Issue (2453) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1643) Natural Language Processing (693) Machine Learning (1471) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1042)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42985, first published .
Examining Rural and Urban Sentiment Difference in COVID-19–Related Topics on Twitter: Word Embedding–Based Retrospective Study

Examining Rural and Urban Sentiment Difference in COVID-19–Related Topics on Twitter: Word Embedding–Based Retrospective Study

Examining Rural and Urban Sentiment Difference in COVID-19–Related Topics on Twitter: Word Embedding–Based Retrospective Study

Authors of this article:

Yongtai Liu1 Author Orcid Image ;   Zhijun Yin1, 2 Author Orcid Image ;   Congning Ni1 Author Orcid Image ;   Chao Yan2 Author Orcid Image ;   Zhiyu Wan2 Author Orcid Image ;   Bradley Malin1, 2, 3 Author Orcid Image
Article Authors Cited by (8) Tweetations (13) Metrics

Journals

  1. Qorib M, Oladunni T, Denis M, Ososanya E, Cotae P. COVID-19 Vaccine Hesitancy: A Global Public Health and Risk Modelling Framework Using an Environmental Deep Neural Network, Sentiment Classification with Text Mining and Emotional Reactions from COVID-19 Vaccination Tweets. International Journal of Environmental Research and Public Health 2023;20(10):5803 View
  2. Holm R, Pocock G, Severson M, Huber V, Smith T, McFadden L. Using wastewater to overcome health disparities among rural residents. Geoforum 2023;144:103816 View
  3. Gu D, Liu H, Zhao H, Yang X, Li M, Liang C. A deep learning and clustering‐based topic consistency modeling framework for matching health information supply and demand. Journal of the Association for Information Science and Technology 2024;75(2):152 View
  4. Anderson L, Ness H, Holm R, Smith T. Wastewater-Informed Digital Advertising as a COVID-19 Geotargeted Neighborhood Intervention: Jefferson County, Kentucky, 2021–2022. American Journal of Public Health 2024;114(1):34 View
  5. Deng Z, Ma R, Wu M, Evans R. Netizens' concerns during COVID-19: a topic evolution analysis of Chinese social media platforms. Kybernetes 2023 View
  6. B P, M G, U D, Nandi R, Urolagin S. Impact of Effective Word Vectors on Deep Learning Based Subjective Classification of Online Reviews. Journal of Machine and Computing 2024:736 View
  7. Dong W, Miao Y, Shen Z, Zhang W, Bai J, Zhu D, Ren R, Zhang J, Wu J, Tarimo C, Ojangba T, Li Y. Quantifying Disparities in COVID-19 Vaccination Rates by Rural and Urban Areas: Cross-Sectional Observational Study. JMIR Public Health and Surveillance 2024;10:e50595 View