WordSpace Visual Summary of Text Corpora


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BRANDES, 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. Electronic Imaging 2006. San Jose, CA. SPIE, 60600N

@inproceedings{Brandes2006-01-15WordS-5810, title={WordSpace Visual Summary of Text Corpora}, year={2006}, doi={10.1117/12.647867}, 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} }

<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/rdf/resource/123456789/5810"> <dc:creator>Brandes, Ulrik</dc:creator> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2011-03-24T16:00:16Z</dc:date> <dcterms:abstract xml:lang="eng">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.</dcterms:abstract> <dc:language>eng</dc:language> <dcterms:issued>2006-01-15</dcterms:issued> <dc:creator>Lerner, Jürgen</dc:creator> <dc:format>application/pdf</dc:format> <dcterms:rights rdf:resource="http://nbn-resolving.org/urn:nbn:de:bsz:352-20140905103416863-3868037-7"/> <dc:rights>deposit-license</dc:rights> <dcterms:bibliographicCitation>First publ. in: Proceedings IST/SPIE´s of the 18th Annual International Symposium on Electronic Imaging (VDA ´06) / SPIE (2006), 6060, Article 60600N</dcterms:bibliographicCitation> <dc:contributor>Hoefer, Martin</dc:contributor> <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/5810"/> <dc:contributor>Lerner, Jürgen</dc:contributor> <dc:creator>Hoefer, Martin</dc:creator> <dcterms:title>WordSpace Visual Summary of Text Corpora</dcterms:title> <dc:contributor>Brandes, Ulrik</dc:contributor> </rdf:Description> </rdf:RDF>

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