Published on in Vol 6, No 5 (2022): May
![Global User-Level Perception of COVID-19 Contact Tracing Applications: Data-Driven Approach Using Natural Language Processing Global User-Level Perception of COVID-19 Contact Tracing Applications: Data-Driven Approach Using Natural Language Processing](https://asset.jmir.pub/assets/ba47e12775ade380043b5b04a7cd6e5a.png 480w,https://asset.jmir.pub/assets/ba47e12775ade380043b5b04a7cd6e5a.png 960w,https://asset.jmir.pub/assets/ba47e12775ade380043b5b04a7cd6e5a.png 1920w,https://asset.jmir.pub/assets/ba47e12775ade380043b5b04a7cd6e5a.png 2500w)
1 Information and Computing Technology Division, College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar
2 Qatar Computing Research Institute, Hamad Bin Khalifa University, Doha, Qatar
3 Department of Computer Science and Engineering, Faculty of Engineering, Qatar University, Doha, Qatar
4 Department of Cyber Systems, University of Nebraska, Kearney, NE, United States
5 Department of Computer Systems Engineering, University of Engineering and Technology, Peshawar, Pakistan
6 Department of Holistic Systems, SimulaMet, Oslo, Norway
7 Department of Statistics, Shaheed Benazir Bhutto Women University, Peshawar, Pakistan