Publikation:

WordSpace Visual Summary of Text Corpora

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bhl_wvstc_06.pdf
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2006

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Published

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ERBACHER, Robert F., ed., Jonathan C. ROBERTS, ed., Matti T. GRÖHN, ed., Katy BÖRNER, ed.. Visualization and Data Analysis 2006. SPIE, 2006, 60600N. SPIE Proceedings. 6060. Available under: doi: 10.1117/12.647867

Zusammenfassung

In recent years several well-known approaches to visualize the topical structure of a document collection have been proposed. Most of them feature spectral analysis of a term-document matrix with influence values and dimensionality reduction. We generalize this approach by arguing that there are many reasonable ways to project the term-document matrix into low-dimensional space in which different features of the corpus are emphasized. Our main tool is a continuous generalization of adjacency-respecting partitions called structural similarity. In this way we obtain a generic framework in which influence weights in the term-document matrix, dimensionality-reducing projections, and the display of a target subspace may be varied according to nature of the text corpus.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
004 Informatik

Schlagwörter

Information Retrieval, Text Visualization, Data Analysis, Graph Drawing

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Electronic Imaging 2006, San Jose, CA
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ISO 690BRANDES, Ulrik, Martin HOEFER, Jürgen LERNER, 2006. WordSpace Visual Summary of Text Corpora. Electronic Imaging 2006. San Jose, CA. In: ERBACHER, Robert F., ed., Jonathan C. ROBERTS, ed., Matti T. GRÖHN, ed., Katy BÖRNER, ed.. Visualization and Data Analysis 2006. SPIE, 2006, 60600N. SPIE Proceedings. 6060. Available under: doi: 10.1117/12.647867
BibTex
@inproceedings{Brandes2006-01-15WordS-5810,
  year={2006},
  doi={10.1117/12.647867},
  title={WordSpace Visual Summary of Text Corpora},
  number={6060},
  publisher={SPIE},
  series={SPIE Proceedings},
  booktitle={Visualization and Data Analysis 2006},
  editor={Erbacher, Robert F. and Roberts, Jonathan C. and Gröhn, Matti T. and Börner, Katy},
  author={Brandes, Ulrik and Hoefer, Martin and Lerner, Jürgen},
  note={Article Number: 60600N}
}
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