Improving Health Mention Classification Through Emphasising Literal Meanings: A Study Towards Diversity and Generalisation for Public Health Surveillance-Reference-Cited by-同舟云学术

Improving Health Mention Classification Through Emphasising Literal Meanings: A Study Towards Diversity and Generalisation for Public Health Surveillance

Published:2023-04-30 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM Web Conference 2023
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Author:

Aduragba Olanrewaju Tahir¹^ORCID,Yu Jialin²^ORCID,Cristea Alexandra³^ORCID,Long Yang³^ORCID

Affiliation:

1. Department of Computer Science, Durham University, United Kingdom and Kwara State University, Nigeria

2. Department of Computer Science, Durham University, United Kingdom and University College London, United Kingdom

3. Department of Computer Science, Durham University, United Kingdom

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3543507.3583877

Reference48 articles.

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2. Research on Prediction of Infectious Diseases, their spread via Social Media and their link to Education

3. Olanrewaju Tahir Aduragba , Jialin Yu , Alexandra I Cristea , and Lei Shi . 2021 . Detecting Fine-Grained Emotions on Social Media during Major Disease Outbreaks: Health and Well-being before and during the COVID-19 Pandemic . In AMIA Annual Symposium Proceedings, Vol. 2021 . American Medical Informatics Association, 187. Olanrewaju Tahir Aduragba, Jialin Yu, Alexandra I Cristea, and Lei Shi. 2021. Detecting Fine-Grained Emotions on Social Media during Major Disease Outbreaks: Health and Well-being before and during the COVID-19 Pandemic. In AMIA Annual Symposium Proceedings, Vol. 2021. American Medical Informatics Association, 187.

4. The role of digital health in making progress toward Sustainable Development Goal (SDG) 3 in conflict-affected populations

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