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

Infodemiology and Infoveillance (622) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (914) Natural Language Processing (275) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (490) Machine Learning (550)

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
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, US

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

*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
  • US
  • Phone: 1 713 500 3981
  • Email: cui.tao@uth.tmc.edu