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](https://asset.jmir.pub/assets/1a0598a9aef399e4d65ef37bf836c21c.png 480w,https://asset.jmir.pub/assets/1a0598a9aef399e4d65ef37bf836c21c.png 960w,https://asset.jmir.pub/assets/1a0598a9aef399e4d65ef37bf836c21c.png 1920w,https://asset.jmir.pub/assets/1a0598a9aef399e4d65ef37bf836c21c.png 2500w)
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- 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
- 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
- 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
- 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