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Analyzing Discussions on Twitter: Case Study on HPV Vaccinations

  • Conference paper

Part of the Lecture Notes in Computer Science book series (LNISA,volume 8416)


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.


  • 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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© 2014 Springer International Publishing Switzerland

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Kaptein, R., Boertjes, E., Langley, D. (2014). Analyzing Discussions on Twitter: Case Study on HPV Vaccinations. In: de Rijke, M., et al. Advances in Information Retrieval. ECIR 2014. Lecture Notes in Computer Science, vol 8416. Springer, Cham.

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06027-9

  • Online ISBN: 978-3-319-06028-6

  • eBook Packages: Computer ScienceComputer Science (R0)