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    TextDNA: Visualizing Word Usage with Configurable Colorfields

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    Date
    2016
    Author
    Szafir, Danielle Albers
    Stuffer, Deidre
    Sohail, Yusef
    Gleicher, Michael ORCID
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    Abstract
    Patterns of words used in different text collections can characterize interesting properties of a corpus. However, these patterns are challenging to explore as they often involve complex relationships across many words and collections in a large space of words. In this paper, we propose a configurable colorfield design to aid this exploration. Our approach uses a dense colorfield overview to present large amounts of data in ways that make patterns perceptible. It allows flexible configuration of both data mappings and aggregations to expose different kinds of patterns, and provides interactions to help connect detailed patterns to the corpus overview. TextDNA, our prototype implementation, leverages the GPU to provide interactivity in the web browser even on large corpora. We present five case studies showing how the tool supports inquiry in corpora ranging in size from single document to millions of books. Our work shows how to make a configurable colorfield approach practical for a range of analytic tasks.
    BibTeX
    @article {10.1111:cgf.12918,
    journal = {Computer Graphics Forum},
    title = {{TextDNA: Visualizing Word Usage with Configurable Colorfields}},
    author = {Szafir, Danielle Albers and Stuffer, Deidre and Sohail, Yusef and Gleicher, Michael},
    year = {2016},
    publisher = {The Eurographics Association and John Wiley & Sons Ltd.},
    ISSN = {1467-8659},
    DOI = {10.1111/cgf.12918}
    }
    URI
    http://dx.doi.org/10.1111/cgf.12918
    https://diglib.eg.org:443/handle/10
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    • 35-Issue 3
    • EuroVis16: Eurographics Conference on Visualization

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