Demonstrating Conceptual Dynamics in an Evolving Text Collection
2013 (English)In: Journal of the Association for Information Science and Technology, ISSN 2330-1635, E-ISSN 2330-1643, Vol. 64, no 12, 2564-2572 p.Article in journal (Refereed) Published
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.
Place, publisher, year, edition, pages
Wiley , 2013. Vol. 64, no 12, 2564-2572 p.
evolving content, two-way seriation
Information Systems General Language Studies and Linguistics
Research subject Library and Information Science
IdentifiersURN: urn:nbn:se:hb:diva-1606DOI: 10.1002/asi.22940ISI: 000330129200011Local ID: 2320/12614OAI: oai:DiVA.org:hb-1606DiVA: diva2:869675