Conceptual recurrence plots: Revealing patterns in human discourse

Angus, Daniel, Smith, Andrew and Wiles, Janet (2012) Conceptual recurrence plots: Revealing patterns in human discourse. IEEE Transactions on Visualization and Computer Graphics, 18 6: 988-997.


Author Angus, Daniel
Smith, Andrew
Wiles, Janet
Title Conceptual recurrence plots: Revealing patterns in human discourse
Journal name IEEE Transactions on Visualization and Computer Graphics  (ERA 2012 Listed)    (ERA 2010 Rank A)   Check publisher's open access policy
Publication date 2012-06
Sub-type Article
Year available 2011
DOI 10.1109/TVCG.2011.100
Volume number 18
Issue number 6
ISSN 1077-2626; 1941-0506
Start page 988
End page 997
Total pages 10
Place of publication Piscataway, NJ, United States
Publisher IEEE
Collection year 2012
Language eng
Abstract Human discourse contains a rich mixture of conceptual information. Visualization of the global and local patterns within this data stream is a complex and challenging problem. Recurrence plots are an information visualization technique that can reveal trends and features in complex time series data. The recurrence plot technique works by measuring the similarity of points in a time series to all other points in the same time series and plotting the results in two dimensions. Previous studies have applied recurrence plotting techniques to textual data; however, these approaches plot recurrence using term-based similarity rather than conceptual similarity of the text. We introduce conceptual recurrence plots, which use a model of language to measure similarity between pairs of text utterances, and the similarity of all utterances is measured and displayed. In this paper, we explore how the descriptive power of the recurrence plotting technique can be used to discover patterns of interaction across a series of conversation transcripts. The results suggest that the conceptual recurrence plotting technique is a useful tool for exploring the structure of human discourse.
Keyword Concept map
Recurrence
Concept
Plotting
Conversation analysis
Text analysis
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Published online 13 June 2011.

 
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Created: Fri, 09 Mar 2012, 10:54:04 EST by Dr Daniel Angus on behalf of School of Information Technol and Elec Engineering