Development and testing of a multi-lingual Natural Language Processing-based deep learning system in 10 languages for COVID-19 pandemic crisis: A multi-center study

Development and testing of a multi-lingual Natural Language Processing-based deep learning system in 10 languages for COVID-19 pandemic crisis: A multi-center study

PurposeThe COVID-19 pandemic has drastically disrupted global healthcare systems. With the higher demand for healthcare and misinformation related to COVID-19, there is a need to explore alternative models to improve communication. Artificial Intelligence (AI) and Natural Language Processing (NLP) h...

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Bibliographic Details
Main Authors: Lily Wei Yun Yang, Wei Yan Ng, Xiaofeng Lei, Shaun Chern Yuan Tan, Zhaoran Wang, Ming Yan, Mohan Kashyap Pargi, Xiaoman Zhang, Jane Sujuan Lim, Dinesh Visva Gunasekeran, Franklin Chee Ping Tan, Chen Ee Lee, Khung Keong Yeo, Hiang Khoon Tan, Henry Sun Sien Ho, Benedict Wee Bor Tan, Tien Yin Wong, Kenneth Yung Chiang Kwek, Rick Siow Mong Goh, Yong Liu, Daniel Shu Wei Ting
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-02-01
Series:Frontiers in Public Health
Subjects:
Natural Language Processing
conversational chatbot
Artificial Intelligence
COVID-19
pandemic education
health education
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2023.1063466/full

Internet

https://www.frontiersin.org/articles/10.3389/fpubh.2023.1063466/full

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