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Analyzing Discussions on Twitter: Case Study on HPV Vaccinations

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Part of the Lecture Notes in Computer Science book series (LNISA,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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  • DOI: 10.1007/978-3-319-06028-6_44
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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: , et al. Advances in Information Retrieval. ECIR 2014. Lecture Notes in Computer Science, vol 8416. Springer, Cham. https://doi.org/10.1007/978-3-319-06028-6_44

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  • DOI: https://doi.org/10.1007/978-3-319-06028-6_44

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06027-9

  • Online ISBN: 978-3-319-06028-6

  • eBook Packages: Computer ScienceComputer Science (R0)