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2007
Springer

Discovering interesting usage patterns in text collections: integrating text mining with visualization

10 years 6 months ago
Discovering interesting usage patterns in text collections: integrating text mining with visualization
This paper addresses the problem of making text mining results more comprehensible to humanities scholars, journalists, intelligence analysts, and other researchers, in order to support the analysis of text collections. Our system, FeatureLens, visualizes a text collection at several levels of granularity and enables users to explore interesting text patterns. The current implementation focuses on frequent itemsets of n-grams, as they capture the repetition of exact or similar expressions in the collection. Users can find meaningful co-occurrences of text patterns by visualizing them within and across documents in the collection. This also permits users to identify the temporal evolution of usage such as increasing, decreasing or sudden appearance of text patterns. The interface could be used to explore other text features as well. Initial studies suggest that FeatureLens helped a literary scholar and 8 users generate new hypotheses and interesting insights using 2 text collections.
Anthony Don, Elena Zheleva, Machon Gregory, Sureyy
Added 07 Jun 2010
Updated 07 Jun 2010
Type Conference
Year 2007
Where CIKM
Authors Anthony Don, Elena Zheleva, Machon Gregory, Sureyya Tarkan, Loretta Auvil, Tanya Clement, Ben Shneiderman, Catherine Plaisant
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