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Comparing the Human Papillomavirus Vaccination Opinions Trends from Different Twitter User Groups with a Machine Learning Based System and Semiparametric Nonlinear Regression.

Author information

1
School of Biomedical Informatics, University of Texas Health, Houston, TX, USA.
2
Department of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, PA, USA.

Abstract

HPV vaccination refusal is a serious public health issue. Opinions on Twitter have are influential to potential consumers on vaccination behaviours. Public opinions toward HPV vaccination were extracted from Twitter by leveraging machine learning models. We used semiparametric nonlinear regression models to study the association between people's public opinions on HPV vaccination at Twitter and the number of followers. Trend patterns of opinions from Twitter users groups with different number of followers were identified and compared.

KEYWORDS:

Machine learning; Social media; Vaccination

PMID:
29295305
[Indexed for MEDLINE]

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