Poster: Understanding Tagged Text
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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BibTex references
@InProceedings{CG10, 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" }