Computer Science – Artificial Intelligence
Scientific paper
2009-05-23
Information Visualization 9, 253-262, 2010
Computer Science
Artificial Intelligence
23 pages, 7 figures
Scientific paper
10.1057/ivs.2009.19
We relate tag clouds to other forms of visualization, including planar or reduced dimensionality mapping, and Kohonen self-organizing maps. Using a modified tag cloud visualization, we incorporate other information into it, including text sequence and most pertinent words. Our notion of word pertinence goes beyond just word frequency and instead takes a word in a mathematical sense as located at the average of all of its pairwise relationships. We capture semantics through context, taken as all pairwise relationships. Our domain of application is that of filmscript analysis. The analysis of filmscripts, always important for cinema, is experiencing a major gain in importance in the context of television. Our objective in this work is to visualize the semantics of filmscript, and beyond filmscript any other partially structured, time-ordered, sequence of text segments. In particular we develop an innovative approach to plot characterization.
Englmeier K.
Ganz Adam
McKie Stewart
Mothe Josiane
Murtagh Fionn
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