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Serendip

Serendip

Last Updated: 12/13/2018 12:00:00 AM
Site: http://vep.cs.wisc.edu/serendip/

Serendip is a system for visually exploring topic models generated on large corpora of documents.

Documentation

Creator(s): Eric Alexander and Joe Kohlmann at the University of Wisconsin-Madison

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Creator's Email:

Repository: https://github.com/uwgraphics/SerendipSlim

Attributes

Type of analysis: Visualization Analysis Content Analysis
Type of license: Free Open Source
TaDiRAH Goals: Analysis
TaDiRAH Methods: Content Analysis Visualization

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Bennett Kuwan Tchoh

Bennett Kuwan Tchoh

Serendip was mentioned in this research abstract available in XML format at https://raw.githubusercontent.com/lehkost/ToolXtractor/master/data/xml/2015/SIMPSON_John_Edward_Exploring_Large_Datasets_with_Topic.xml

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