Understanding the Engagement and Interaction of Superusers and Regular Users in UK Respiratory Online Health Communities: Deep Learning–Based Sentiment Analysis
Understanding the Engagement and Interaction of Superusers and Regular Users in UK Respiratory Online Health Communities: Deep Learning–Based Sentiment Analysis
Xiancheng Li
1
* , PhD ;
Emanuela Vaghi
2
* , MD ;
Gabriella Pasi
2
, PhD ;
Neil S Coulson
3
, PhD ;
Anna De Simoni
4
* , PhD ;
Marco Viviani
2
* , PhD ;
AD HOC Group
5
1
School of Business and Management, Queen Mary University of London, London, United Kingdom
2
Department of Informatics, Systems and Communication, University of Milano-Bicocca, Milan, Italy
3
School of Medicine, University of Nottingham, Nottingham, United Kingdom
4
Wolfson Institute of Population Health, Asthma UK Centre for Applied Research, Queen Mary University of London, London, United Kingdom
5
See Acknowledgments, London, United Kingdom
*these authors contributed equally
Corresponding Author:
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Xiancheng Li, PhD
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School of Business and Management
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Queen Mary University of London
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Mile End Road, Bethnal Green
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London, E14NS
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United Kingdom
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Phone:
44 2078825555
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Email: x.l.li@qmul.ac.uk