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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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Kashif Ahmad (12592762) (author)
مؤلفون آخرون:	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)
منشور في:	2022
الموضوعات:	Health sciences Health services and systems COVID-19 sentiment analysis contact tracing applications NLP text classification BERT fastText transformers RoBerta
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

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

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