This paper is in the following e-collection/theme issue:

Infodemiology and Infoveillance (966) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1225) Natural Language Processing (470) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (784) Machine Learning (953)

Published on in Vol 20 , No 7 (2018) :July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9413, first published .
Public Perception Analysis of Tweets During the 2015 Measles Outbreak: Comparative Study Using Convolutional Neural Network Models

Public Perception Analysis of Tweets During the 2015 Measles Outbreak: Comparative Study Using Convolutional Neural Network Models

Public Perception Analysis of Tweets During the 2015 Measles Outbreak: Comparative Study Using Convolutional Neural Network Models

Authors of this article:

Jingcheng Du 1 Author Orcid Image ;   Lu Tang 2 Author Orcid Image ;   Yang Xiang 1 Author Orcid Image ;   Degui Zhi 1 Author Orcid Image ;   Jun Xu 1 Author Orcid Image ;   Hsing-Yi Song 1 Author Orcid Image ;   Cui Tao 1 Author Orcid Image
Article Authors Cited by (22) Tweetations (14) Metrics

Journals

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  9. Zhai Y, Yao Y, Guan Q, Liang X, Li X, Pan Y, Yue H, Yuan Z, Zhou J. Simulating urban land use change by integrating a convolutional neural network with vector-based cellular automata. International Journal of Geographical Information Science 2020;34(7):1475 View
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  13. Du J, Chen Q, Peng Y, Xiang Y, Tao C, Lu Z. ML-Net: multi-label classification of biomedical texts with deep neural networks. Journal of the American Medical Informatics Association 2019;26(11):1279 View
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  16. Tang L, Zou W. Health Information Consumption under COVID-19 Lockdown: An Interview Study of Residents of Hubei Province, China. Health Communication 2021;36(1):74 View
  17. Shen L, Yao R, Zhang W, Evans R, Cao G, Zhang Z. Emotional Attitudes of Chinese Citizens on Social Distancing During the COVID-19 Outbreak: Analysis of Social Media Data. JMIR Medical Informatics 2021;9(3):e27079 View
  18. Mavragani A, Gkillas K. COVID-19 predictability in the United States using Google Trends time series. Scientific Reports 2020;10(1) View
  19. Ibrahim M, Ghani Khan M, Mehmood F, Asim M, Mahmood W. GHS-NET a generic hybridized shallow neural network for multi-label biomedical text classification. Journal of Biomedical Informatics 2021;116:103699 View
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  22. Tang L, Liu W, Thomas B, Tran H, Zou W, Zhang X, Zhi D. Texas Public Agencies’ Tweets and Public Engagement During the COVID-19 Pandemic: Natural Language Processing Approach. JMIR Public Health and Surveillance 2021;7(4):e26720 View