Exploring and Visualizing Frequent Patterns in
Text Collections with FeatureLens
Anthony Don, Post-doc fellow (visiting from Labri, University Bordeaux I, France)
Catherine Plaisant, PhD, Associate Research Scientist, HCIL
Ben Shneiderman, PhD, Professor, Computer Science
Elena Zheleva, Machon Gregory, Sureyya Tarkan (Graduate Students, Computer Science, students of Ben Shneiderman's Information Visualization class project who worked with Anthony on developping FeatureLens as part of their class project.
Tanya Clement (PhD Graduate Student, English Department)
Loretta Auvil and Amit Kumar (collaborators from NCSA, U. of Illinois)
We also appreciate the feedback and suggestions of Celeste Paul, Matt Kirschenbaum and others from the MONK project and MITH the Maryland Institute for Technology in the Humanities
Example with Shakespeare collection
Example with Early American Fiction collection (running on MONK Project server, to report problems please email: firstname.lastname@example.org )
Video demonstration (long draft - will be redone soon to show more meaningful example of use)
Slides extracted from the 2007 HCIL symposium talk
Our submission to "Visualizing 'Gamer Theory 2.0' "
Don, A., Zheleva, E., Gregory, M., Tarkan, S., Auvil, L., Clement, T., Shneiderman, B., Plaisant, C.
Discovering interesting usage patterns in text collections: integrating text mining with visualization
Other HCIL Visualization projects