Leveraging deep learning to understand health beliefs about the Human Papillomavirus Vaccine from social media.
other · Level V
Where this comes from
- Record sourced from PubMed, PMID 31304374.
- Also identified by DOI 10.1038/s41746-019-0102-4 and PMC identifier 6550201.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
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.