Publikation: Comparative Exploration of Document Collections : a Visual Analytics Approach
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2014
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Computer Graphics Forum. 2014, 33(3), pp. 201-210. ISSN 0167-7055. eISSN 1467-8659. Available under: doi: 10.1111/cgf.12376
Zusammenfassung
We present an analysis and visualization method for computing what distinguishes a given document collection from others. We determine topics that discriminate a subset of collections from the remaining ones by applying probabilistic topic modeling and subsequently approximating the two relevant criteria distinctiveness and characteristicness algorithmically through a set of heuristics. Furthermore, we suggest a novel visualization method called DiTop-View, in which topics are represented by glyphs (topic coins) that are arranged on a 2D plane. Topic coins are designed to encode all information necessary for performing comparative analyses such as the class membership of a topic, its most probable terms and the discriminative relations. We evaluate our topic analysis using statistical measures and a small user experiment and present an expert case study with researchers from political sciences analyzing two real-world datasets.
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OELKE, Daniela, Hendrik STROBELT, Christian ROHRDANTZ, Iryna GUREVYCH, Oliver DEUSSEN, 2014. Comparative Exploration of Document Collections : a Visual Analytics Approach. In: Computer Graphics Forum. 2014, 33(3), pp. 201-210. ISSN 0167-7055. eISSN 1467-8659. Available under: doi: 10.1111/cgf.12376BibTex
@article{Oelke2014Compa-29163,
year={2014},
doi={10.1111/cgf.12376},
title={Comparative Exploration of Document Collections : a Visual Analytics Approach},
number={3},
volume={33},
issn={0167-7055},
journal={Computer Graphics Forum},
pages={201--210},
author={Oelke, Daniela and Strobelt, Hendrik and Rohrdantz, Christian and Gurevych, Iryna and Deussen, Oliver}
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