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...

Full description

Saved in:

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
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!

Global User-Level Perception of COVID-19 Contact Tracing Applications: Data-Driven Approach Using Natural Language Processing

Similar Items