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Supplementary material for the paper "Synergy Between Public and Private Health Care Organizations During COVID-19 on Twitter: Sentiment and Engagement Analysis Using Forecasting Models"

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Sentiment and Engagement Analysis using Forecasting Models

Supplementary material for the paper "Synergy between Public and Private Healthcare Organizations during COVID-19 on Twitter: Sentiment and Engagement Analysis Using Forecasting Models"

Dataset can be found at GitLab

Repository structure

  • code: The code to generate all the results presented in the article
  • results: Snapshots of all the results

Reference

More information about our method can be found in the following article:

Singhal, A., Baxi, M. K., & Mago, V. (2022). Synergy Between Public and Private Health Care Organizations During COVID-19 on Twitter: Sentiment and Engagement Analysis Using Forecasting Models. JMIR Medical Informatics, 10(8), e37829. https://doi.org/10.2196/37829

If you use any of the provided material for your work, please cite us as follows:

@article{singhal2022synergy,
  title={Synergy Between Public and Private Health Care Organizations During COVID-19 on Twitter: Sentiment and Engagement Analysis Using Forecasting Models},
  author={Singhal, Aditya and Baxi, Manmeet Kaur and Mago, Vijay},
  journal={JMIR Medical Informatics},
  volume={10},
  number={8},
  pages={e37829},
  year={2022},
  publisher={JMIR Publications Inc., Toronto, Canada}
}

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If you have any questions or suggestions, do not hesitate to email us. 😊

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Supplementary material for the paper "Synergy Between Public and Private Health Care Organizations During COVID-19 on Twitter: Sentiment and Engagement Analysis Using Forecasting Models"

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