Leveraging deep learning to understand health beliefs about the Human Papillomavirus Vaccine from social media.

Researchers

Chongliang Luo Cui Tao Fang Li Jiang Bian Jingcheng Du Julie A Boom Rachel M Cunningham Sahiti Myneni Yang Xiang Yong Chen Yuxi Jia

Journal

NPJ digital medicine

Modalities

Models

deep learning

Abstract

Our aim was to characterize health beliefs about the human papillomavirus (HPV) vaccine in a large set of Twitter posts (tweets). We collected a Twitter data set related to the HPV vaccine from 1 January 2014, to 31 December 2017. We proposed a deep-learning-based framework to mine health beliefs on the HPV vaccine from Twitter. Deep learning achieved high performance in terms of sensitivity, specificity, and accuracy. A retrospective analysis of health beliefs found that HPV vaccine beliefs may be evolving on Twitter.

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