Demonstrating conceptual dynamics in an evolving text collection

Sándor Darányi and Peter Wittek

Journal of the American Society for Information Science and Technology, 2013, vol. 64, issue 12, 2564-2572

Abstract: Based on real‐world user demands, we demonstrate how animated visualization 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 and emotional content and language is key for such a theory. We demonstrate our method by two‐way seriation, which is a popular technique to analyze groups of similar instances and their features as well as the connections between the groups themselves. The two‐way seriated data may be visualized as a two‐dimensional heat map or as a three‐dimensional landscape in which color codes or height correspond to the values in the matrix. In this article, we focus on two‐way seriation of sparse data in the Reuters‐21568 test collection. To achieve a meaningful visualization, 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 visualization of dynamics.

Date: 2013
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1002/asi.22940

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bla:jamist:v:64:y:2013:i:12:p:2564-2572

Ordering information: This journal article can be ordered from
https://doi.org/10.1002/(ISSN)1532-2890

Access Statistics for this article

More articles in Journal of the American Society for Information Science and Technology from Association for Information Science & Technology
Bibliographic data for series maintained by Wiley Content Delivery ().