Use of health belief model–based deep learning classifiers for COVID-19 social media content to examine public perceptions of physical distancing: Model development and case study
10.2196/20493
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2021
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sg-nus-scholar.10635-1986002024-04-05T09:02:43Z Use of health belief model–based deep learning classifiers for COVID-19 social media content to examine public perceptions of physical distancing: Model development and case study Raamkumar, A.S. Tan, S.G. Wee, H.L. DEAN'S OFFICE (SSH SCH OF PUBLIC HEALTH) PHARMACY COVID-19 Deep learning Health belief model Physical distancing Recurrent neural network Social media Text classification 10.2196/20493 JMIR Public Health and Surveillance 6 3 e20493 2021-08-23T03:12:59Z 2021-08-23T03:12:59Z 2020 Article Raamkumar, A.S., Tan, S.G., Wee, H.L. (2020). Use of health belief model–based deep learning classifiers for COVID-19 social media content to examine public perceptions of physical distancing: Model development and case study. JMIR Public Health and Surveillance 6 (3) : e20493. ScholarBank@NUS Repository. https://doi.org/10.2196/20493 23692960 https://scholarbank.nus.edu.sg/handle/10635/198600 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ JMIR Publications Inc. Scopus OA2020 |
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National University of Singapore |
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Asia |
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Singapore Singapore |
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NUS Library |
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COVID-19 Deep learning Health belief model Physical distancing Recurrent neural network Social media Text classification |
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COVID-19 Deep learning Health belief model Physical distancing Recurrent neural network Social media Text classification Raamkumar, A.S. Tan, S.G. Wee, H.L. Use of health belief model–based deep learning classifiers for COVID-19 social media content to examine public perceptions of physical distancing: Model development and case study |
| description |
10.2196/20493 |
| author2 |
DEAN'S OFFICE (SSH SCH OF PUBLIC HEALTH) |
| author_facet |
DEAN'S OFFICE (SSH SCH OF PUBLIC HEALTH) Raamkumar, A.S. Tan, S.G. Wee, H.L. |
| format |
Article |
| author |
Raamkumar, A.S. Tan, S.G. Wee, H.L. |
| author_sort |
Raamkumar, A.S. |
| title |
Use of health belief model–based deep learning classifiers for COVID-19 social media content to examine public perceptions of physical distancing: Model development and case study |
| title_short |
Use of health belief model–based deep learning classifiers for COVID-19 social media content to examine public perceptions of physical distancing: Model development and case study |
| title_full |
Use of health belief model–based deep learning classifiers for COVID-19 social media content to examine public perceptions of physical distancing: Model development and case study |
| title_fullStr |
Use of health belief model–based deep learning classifiers for COVID-19 social media content to examine public perceptions of physical distancing: Model development and case study |
| title_full_unstemmed |
Use of health belief model–based deep learning classifiers for COVID-19 social media content to examine public perceptions of physical distancing: Model development and case study |
| title_sort |
use of health belief model–based deep learning classifiers for covid-19 social media content to examine public perceptions of physical distancing: model development and case study |
| publisher |
JMIR Publications Inc. |
| publishDate |
2021 |
| url |
https://scholarbank.nus.edu.sg/handle/10635/198600 |
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1800914948422893568 |