Hybrid deep learning of social media big data for predicting the evolution of COVID-19 transmission

• Main Authors: Chew, Alvin Wei Ze, Pan, Yue, Wang, Ying, Zhang, Limao
• Other Authors: School of Civil and Environmental Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Civil engineering; Natural Language Processing; Time-Series Prediction
• Online Access: https://hdl.handle.net/10356/160694
• Institution: Nanyang Technological University

In this study, a hybrid deep-learning model termed as ODANN, built upon neural networks (NN) coupled with data assimilation and natural language processing (NLP) features extraction methods, has been constructed to concurrently process daily COVID-19 time-series records and large volumes of COVID-19...