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

<h3>Background</h3><p dir="ltr">Contact tracing has been globally adopted in the fight to control the infection rate of COVID-19. To this aim, several mobile apps have been developed. However, there are ever-growing concerns over the working mechanism and performance of t...

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Bibliographic Details
Main Author: Kashif Ahmad (12592762) (author)
Other Authors: Firoj Alam (14158866) (author), Junaid Qadir (16494902) (author), Basheer Qolomany (16855527) (author), Imran Khan (109715) (author), Talhat Khan (18387126) (author), Muhammad Suleman (3829027) (author), Naina Said (16869939) (author), Syed Zohaib Hassan (18387129) (author), Asma Gul (5980553) (author), Mowafa Househ (9154124) (author), Ala Al-Fuqaha (4434340) (author)
Published: 2022
Subjects:
Health sciences
Health services and systems
COVID-19
sentiment analysis
contact tracing applications
NLP
text classification
BERT
fastText
transformers
RoBerta
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