Mining topic and sentiment dynamics in physician rating websites during the early wave of the COVID-19 pandemic: Machine learning approach
- DOI
- 10.1016/j.ijmedinf.2021.104434
- Published
- 2021-05
- Container
- International Journal of Medical Informatics
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.ijmedinf.2021.104434,
title = {Mining topic and sentiment dynamics in physician rating websites during the early wave of the COVID-19 pandemic: Machine learning approach},
author = {Adnan Muhammad Shah and Xiangbin Yan and Abdul Qayyum and Rizwan Ali Naqvi and Syed Jamal Shah},
year = {2021},
journal = {International Journal of Medical Informatics},
doi = {10.1016/j.ijmedinf.2021.104434},
url = {https://doi.org/10.1016/j.ijmedinf.2021.104434}
}RIS
TY - JOUR TI - Mining topic and sentiment dynamics in physician rating websites during the early wave of the COVID-19 pandemic: Machine learning approach AU - Adnan Muhammad Shah AU - Xiangbin Yan AU - Abdul Qayyum AU - Rizwan Ali Naqvi AU - Syed Jamal Shah PY - 2021 JO - International Journal of Medical Informatics DO - 10.1016/j.ijmedinf.2021.104434 UR - https://doi.org/10.1016/j.ijmedinf.2021.104434 ER -
APA
Shah, A. M., Yan, X., Qayyum, A., Naqvi, R. A., & Shah, S. J. (2021). Mining topic and sentiment dynamics in physician rating websites during the early wave of the COVID-19 pandemic: Machine learning approach. International Journal of Medical Informatics. https://doi.org/10.1016/j.ijmedinf.2021.104434
Source records
- crossref · retrieved 2026-09-27T00:22:55.731Z