Analyzing discussions on twitter: Case study on HPV vaccinations

bookPart
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. © 2014 Springer International Publishing Switzerland.
City of Amsterdam; et al.; Google; Microsoft Research; Textkernel; The Netherlands Organization for Scientific Research (NWO)
TNO Identifier
503188
Publisher
Springer Verlag
Source title
Advances in Information Retrieval : 36th European Conference on Information Retrieval, ECIR 2014, 13-16 April 2014, Amsterdam, The Netherlands
Editor(s)
Rijke, M. de
Kenter, T.M.
et al
Place of publication
Switzerland
Pages
474-480
Files
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