/Sentiment-Forecasting-on-tweets

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"

Primary LanguageJupyter NotebookMIT LicenseMIT

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}
}

Contact information

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

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