@inproceedings{Weiler2014Store-33614,
  year={2014},
  title={The Stor-e-Motion Visualization for Topic Evolution Tracking in Social Media Streams},
  url={http://eurovis.swansea.ac.uk/program.htm},
  publisher={The Eurographics Association},
  booktitle={Eurographics Conference on Visualization : EuroVis 2014 ; Short Papers},
  editor={Elmqvist, N.},
  author={Weiler, Andreas and Grossniklaus, Michael and Wanner, Franz and Scholl, Marc H.}
}

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    <dcterms:abstract xml:lang="eng">Nowadays, there are plenty of sources generating massive amounts of text streams in a continuous way. For example, the increasing popularity and the active use of social networks results in voluminous and fast-flowing data streams containing a large amount of user-generated data about almost any topic around the world. However, the observation and tracking of the ongoing evolution of topics in these unevenly distributed text streams is a challenging task for analysts, news reporters, or other users. This paper presents “Stor-e-Motion”, a real-time visualization to track and explore the ongoing evolution of topics’ frequency (i.e., importance), sentiment (i.e., emotion), and context (i.e., story) in user-defined topics over continuous flowing text streams.</dcterms:abstract>
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    <dc:creator>Grossniklaus, Michael</dc:creator>
    <dc:contributor>Wanner, Franz</dc:contributor>
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    <dc:contributor>Weiler, Andreas</dc:contributor>
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    <dc:creator>Scholl, Marc H.</dc:creator>
    <dcterms:title>The Stor-e-Motion Visualization for Topic Evolution Tracking in Social Media Streams</dcterms:title>
    <dc:contributor>Scholl, Marc H.</dc:contributor>
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    <dc:contributor>Grossniklaus, Michael</dc:contributor>
    <dcterms:issued>2014</dcterms:issued>
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