Social media sentiment analysis to monitor the performance of vaccination coverage during the early phase of the national COVID-19 vaccine rollout.

Rahmanti AR, Chien CH, Nursetyo AA, Husnayain A, Wiratama BS, Fuad A, Yang HC, Li YJ

Open source

DOI
10.1016/j.cmpb.2022.106838
Published
2022 Jun
Container
Computer methods and programs in biomedicine
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1016/j.cmpb.2022.106838,
  title = {Social media sentiment analysis to monitor the performance of vaccination coverage during the early phase of the national COVID-19 vaccine rollout.},
  author = {Rahmanti AR and Chien CH and Nursetyo AA and Husnayain A and Wiratama BS and Fuad A and Yang HC and Li YJ},
  year = {2022},
  journal = {Computer methods and programs in biomedicine},
  doi = {10.1016/j.cmpb.2022.106838},
  url = {https://doi.org/10.1016/j.cmpb.2022.106838}
}

RIS

TY  - JOUR
TI  - Social media sentiment analysis to monitor the performance of vaccination coverage during the early phase of the national COVID-19 vaccine rollout.
AU  - Rahmanti AR
AU  - Chien CH
AU  - Nursetyo AA
AU  - Husnayain A
AU  - Wiratama BS
AU  - Fuad A
AU  - Yang HC
AU  - Li YJ
PY  - 2022
JO  - Computer methods and programs in biomedicine
DO  - 10.1016/j.cmpb.2022.106838
UR  - https://doi.org/10.1016/j.cmpb.2022.106838
ER  - 

APA

AR, R., CH, C., AA, N., A, H., BS, W., A, F., HC, Y., & YJ, L. (2022). Social media sentiment analysis to monitor the performance of vaccination coverage during the early phase of the national COVID-19 vaccine rollout.. Computer methods and programs in biomedicine. https://doi.org/10.1016/j.cmpb.2022.106838

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