%0 Journal Article
%T Leveraging deep learning to understand health beliefs about the Human Papillomavirus Vaccine from social media
%J -
%D 2019
%R https://doi.org/10.1038/s41746-019-0102-4
%X 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
%U https://www.nature.com/articles/s41746-019-0102-4