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    diviText: visualizing text segmentation for text mining.

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    software (14.08Mb)
    thesis (2.974Mb)
    Date
    2011-11-15
    Author
    Jones, Amos Chapman.
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    Abstract
    Quantitative experiments in text mining often require the segmentation of texts into smaller units. Text segmentation is the process of dividing texts into smaller pieces. This can be done by hand in a text editor, but this is time-consuming and error prone especially when working with large corpora. The diviText tool enables scholars to segment texts in an efficient and accurate way. diviText also produces word counts for use in future clustering and classification analyses.
    URI
    http://hdl.handle.net/11040/23464
    Collections
    • Mathematics and Computer Science
    • File:divitext_may_12_2011.zip
      Description:software
      MIME type:application/octet-stream
      File Size:14.08Mb
    • File:amos_jones_thesis_may_12.pdf
      Description:thesis
      MIME type:application/pdf
      File Size:2.974Mb

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