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Analyzing Discussions on Twitter: Case Study on HPV Vaccinations

  • Rianne Kaptein
  • Erik Boertjes
  • David Langley
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8416)

Abstract

In this work we analyze the discussions on Twitter around the Human papillomavirus (HPV) vaccinations. We collect a dataset consisting of tweets related to the HPV vaccinations by searching for relevant keywords, by retrieving the conversations on Twitter, and by retrieving tweets from our user group mentioning semi-relevant keywords. We find that by tracking the conversations on Twitter relevant tweets can be found with reasonable precision. Although sentiments and opinions change regularly in a discussion, we find few cases of topic drift.

Keywords

Query Expansion Interrater Agreement Human Papilloma Virus Vaccine Relevant Keyword Query Expansion Technique 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Rianne Kaptein
    • 1
  • Erik Boertjes
    • 1
  • David Langley
    • 1
  1. 1.TNODelftThe Netherlands

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