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

Journal: Journal of medical Internet research
Published Date: Jul 9, 2018

Abstract

BACKGROUND: Timely understanding of public perceptions allows public health agencies to provide up-to-date responses to health crises such as infectious diseases outbreaks. Social media such as Twitter provide an unprecedented way for the prompt assessment of the large-scale public response.

Authors

  • Jingcheng Du
    University of Texas Health Science Center at Houston, Houston, Texas, USA.
  • Lu Tang
    Department of Communication and Journalism, Texas A&M University.
  • Yang Xiang
    Department of Biomedical Informatics, The Ohio State University, Columbus, OH 43210, USA.
  • Degui Zhi
    School of Biomedical Informatics, the University of Texas Health Science Center at Houston, Houston, TX, USA.
  • Jun Xu
    Department of Nephrology, The Affiliated Baiyun Hospital of Guizhou Medical University, Guizhou, China.
  • Hsing-Yi Song
    University of Texas School of Biomedical Informatics, 7000 Fannin St Suite 600, Houston, TX, 77030, USA.
  • Cui Tao
    The University of Texas Health Science Center at Houston, USA.

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