A review on Natural Language Processing Models for COVID-19 research

A review on Natural Language Processing Models for COVID-19 research

This survey paper reviews Natural Language Processing Models and their use in COVID-19 research in two main areas. Firstly, a range of transformer-based biomedical pretrained language models are evaluated using the BLURB benchmark. Secondly, models used in sentiment analysis surrounding COVID-19 vac...

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Bibliographic Details
Main Authors: Karl Hall, Victor Chang, Chrisina Jayne
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:Healthcare Analytics
Subjects:
Natural Language Processing
COVID-19
Machine learning
Transformer models
Sentiment analysis
Online Access:http://www.sciencedirect.com/science/article/pii/S2772442522000326

Internet

http://www.sciencedirect.com/science/article/pii/S2772442522000326

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