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

Infodemiology and Infoveillance (1349) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Natural Language Processing (692) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Machine Learning (1465)

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 Du1 Author Orcid Image ;   Lu Tang2 Author Orcid Image ;   Yang Xiang1 Author Orcid Image ;   Degui Zhi1 Author Orcid Image ;   Jun Xu1 Author Orcid Image ;   Hsing-Yi Song1 Author Orcid Image ;   Cui Tao1 Author Orcid Image
Article Authors Cited by (41) Tweetations (15) Metrics

Jingcheng Du   1 * , BS ;   Lu Tang   2 * , PhD ;   Yang Xiang   1 , PhD ;   Degui Zhi   1 , PhD ;   Jun Xu   1 , PhD ;   Hsing-Yi Song   1 , MPH ;   Cui Tao   1 , PhD

1 School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, United States

2 Department of Communication, College of Liberal Arts, Texas A&M University, College Station, TX, United States

*these authors contributed equally

Corresponding Author:

  • Cui Tao, PhD
  • School of Biomedical Informatics
  • The University of Texas Health Science Center at Houston
  • 7000 Fannin St
  • Houston, TX
  • United States
  • Phone: 1 713 500 3981
  • Email: cui.tao@uth.tmc.edu