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Demonstrating Conceptual Dynamics in an Evolving Text Collection
Högskolan i Borås, Institutionen Biblioteks- och informationsvetenskap / Bibliotekshögskolan.
Högskolan i Borås, Institutionen Biblioteks- och informationsvetenskap / Bibliotekshögskolan.
2013 (engelsk)Inngår i: Journal of the Association for Information Science and Technology, ISSN 2330-1635, E-ISSN 2330-1643, Vol. 64, nr 12, s. 2564-2572Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Based on real world user demands, we demonstrate how animated visualisation of evolving text corpora displays the underlying dynamics of semantic content. To interpret the results, one needs a dynamic theory of word meaning. We suggest that conceptual dynamics as the interaction between kinds of intellectual, emotional etc. content, and language, is key for such a theory. We demonstrate our methodology by two-way seriation which is a popular technique to analyse groups of similar instances and their features, as well as the connections between the groups themselves. The two-way seriated data may be visualised as a two-dimensional heat map or as a three-dimensional landscape where colour codes or height correspond to the values in the matrix. In this paper we focus on two-way seriation of sparse data in the Reuters-21568 test collection. To achieve a meaningful visualisation thereof we introduce a compactly supported convolution kernel similar to filter kernels used in image reconstruction and geostatistics. This filter populates the high-dimensional sparse space with values that interpolate nearby elements, and provides insight into the clustering structure. We also extend two-way seriation to deal with online updates of both the row and column spaces, and, combined with the convolution kernel, demonstrate a three-dimensional visualisation of dynamics.

sted, utgiver, år, opplag, sider
Wiley , 2013. Vol. 64, nr 12, s. 2564-2572
Emneord [en]
evolving content, two-way seriation
HSV kategori
Forskningsprogram
Biblioteks- och informationsvetenskap
Identifikatorer
URN: urn:nbn:se:hb:diva-1606DOI: 10.1002/asi.22940ISI: 000330129200011Lokal ID: 2320/12614OAI: oai:DiVA.org:hb-1606DiVA, id: diva2:869675
Tilgjengelig fra: 2015-11-13 Laget: 2015-11-13 Sist oppdatert: 2018-01-10

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Darányi, SándorWittek, Peter

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