This paper is in the following e-collection/theme issue:

Presentations, Abstracts, or Demonstrations (740)

Published on in Vol 7, No 1 (2015):

A Semantic Web Platform for Online Vaccine Sentiment Surveillance

A Semantic Web Platform for Online Vaccine Sentiment Surveillance

A Semantic Web Platform for Online Vaccine Sentiment Surveillance

Authors of this article:

Arash Shaban-Nejad ;   Sonia Menon ;   David Buckeridge
The full text of this article is available as a PDF download by clicking here.
Article Authors Cited by (1) Tweetations Metrics

    The Vaccon Sentiment Ontology (VASON) provides knowledge on the factors driving vaccine refusal by analyzing content of online social media. VASON facilitates concept extraction and analysis of the extracted concepts using an Natural Language Processing (NLP) module.