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

@article{Du2018PublicPA,
  title={Public Perception Analysis of Tweets During the 2015 Measles Outbreak: Comparative Study Using Convolutional Neural Network Models},
  author={Jingcheng Du and Lu Tang and Yang Xiang and Degui Zhi and Jun Xu and Hsing-yi Song and Cui Tao},
  journal={Journal of Medical Internet Research},
  year={2018},
  volume={20}
}
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. Objective The aims of this study were to develop a scheme for a comprehensive public perception analysis of a measles outbreak based on Twitter data and demonstrate the superiority of the convolutional… 

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