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

Liu Y, Yin Z, Ni C, Yan C, Wan Z, Malin B

DOI: 10.2196/42985
Published: 2023 Feb 15
Container: Journal of medical Internet research
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.2196/42985,
  title = {Examining Rural and Urban Sentiment Difference in COVID-19-Related Topics on Twitter: Word Embedding-Based Retrospective Study.},
  author = {Liu Y and Yin Z and Ni C and Yan C and Wan Z and Malin B},
  year = {2023},
  journal = {Journal of medical Internet research},
  doi = {10.2196/42985},
  url = {https://doi.org/10.2196/42985}
}

RIS

TY  - JOUR
TI  - Examining Rural and Urban Sentiment Difference in COVID-19-Related Topics on Twitter: Word Embedding-Based Retrospective Study.
AU  - Liu Y
AU  - Yin Z
AU  - Ni C
AU  - Yan C
AU  - Wan Z
AU  - Malin B
PY  - 2023
JO  - Journal of medical Internet research
DO  - 10.2196/42985
UR  - https://doi.org/10.2196/42985
ER  -

APA

Y, L., Z, Y., C, N., C, Y., Z, W., & B, M. (2023). Examining Rural and Urban Sentiment Difference in COVID-19-Related Topics on Twitter: Word Embedding-Based Retrospective Study.. Journal of medical Internet research. https://doi.org/10.2196/42985

Source records

pubmed · retrieved 2026-09-25T16:29:50.404Z