Published in
Nature Research, npj Digital Medicine, 1(2), 2019
DOI: 10.1038/s41746-019-0102-4
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Leveraging deep learning to understand health beliefs about the Human Papillomavirus Vaccine from social media
,
Rachel M. Cunningham,
Yang Xiang,
Fang Li ,
Yuxi Jia ,
Julie A. Boom,
Sahiti Myneni,
Jiang Bian ,
Chongliang Luo ,
Yong Chen,
Cui Tao
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Abstract
AbstractOur 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.