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

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

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

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.

Original languageEnglish
Article number27
Journalnpj Digital Medicine
Volume2
Issue number1
DOIs
StatePublished - Dec 1 2019

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