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Poster: Understanding Tagged Text

IEEE Information Visualization Conference Poster Proceedings — 2010
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    This poster describes visualization tools to support statistical literary analysis. Our observation of scholars’ work shows the importance of connecting the large-scale statistical analysis of texts with close reading of the text. To support this work, we have designed a system that integrates a corpus-wide overview of text-properties with a viewer for examining specific passages. The corpus viewer is designed to help identify “important” features in a text; the text viewer provides a focus+context view for examining the passages containing those features. These tools, in concert, allow one to observe a corpus wide pattern of tags and then propose a causal explanation for this pattern using the techniques of passage analysis.

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      author       = "Correll, Michael and Gleicher, Michael",
      title        = "Poster: Understanding Tagged Text",
      booktitle    = "IEEE Information Visualization Conference Poster Proceedings",
      year         = "2010",
      url          = "http://graphics.cs.wisc.edu/Papers/2010/CG10"

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