1	"Extract from Catherine Plaisant talk..." Extract from Catherine Plaisant talk at the Human-Computer Interaction Lab (HCIL) annual symposium (www.cs.umd.edu/hcil/soh) About FeatureLens (a MONK prototype) Interface developed at Maryland using D2K frequent pattern analysis from NCSA
2	Exploring and Visualizing Patterns in Literary Text Collections with FeatureLens Anthony Don, Catherine Plaisant, Tanya Clement University of Maryland Loretta Auvil, NCSA With the help of others from the MONK project
3	Supporting Literary Scholars
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5	Motivating Example Study of Gertrude Stein’s “The Making of Americans” (MoA) Tanya Clement, PhD student from English Department
6	Sample paragraph [1086] Always from the beginning there was to me all living as repeating. This is now a description of my feeling. As I was saying listening to repeating is often irritating, always repeating is all of living, everything in a being is always repeating, more and more listening to repeating gives to me completed understanding.
7	Sounds [1086] Always from the beginning there was to me all living as repeating. This is now a description of my feeling. As I was saying listening to repeating is often irritating, always repeating is all of living, everything in a being is always repeating, more and more listening to repeating gives to me completed understanding.
8	Words [1086] Always from the beginning there was to me all living as repeating. This is now a description of my feeling. As I was saying listening to repeating is often irritating, always repeating is all of living, everything in a being is always repeating, more and more listening to repeating gives to me completed understanding.
9	Higher level concept [1086] Always from the beginning there was to me all living as repeating. This is now a description of my feeling. As I was saying listening to repeating is often irritating, always repeating is all of living, everything in a being is always repeating, more and more listening to repeating gives to me completed understanding.
10	Ngrams (sets of consecutive words) [1086] Always from the beginning there was to me all living as repeating. This is now a description of my feeling. As I was saying listening to repeating is often irritating, always repeating is all of living, everything in a being is always repeating, more and more listening to repeating gives to me completed understanding.
11	Example of “Literary” question about MoA Do the changes in repetition correspond to the novel’s evolving theories about identity and representation? And how?
12	Questions the tool tries to address What text features are highly repeated in the text? Frequent words Frequent n-grams (consecutive words) Frequent patterns of n-grams (more “fuzzy” non consecutive matches) How do they change over time (i.e. along the text)? Locate features in text Compare features Distribution over time Find features that exhibit specific distributions (e.g. spike)
13	Trying existing tools – Text Arc
14	Trying existing tools – Text Arc
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28	Trends in distributions Define metrics on distributions and rank features accordingly increase/decrease topics evolution
29	Trends in distributions Define metrics on distributions and rank features accordingly spikes/sinks specific events
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35	Evaluation strategy Ongoing longitudinal case study Tanya Clement and « The Making of Americans » Pilot user study with 8 users 3 tasks then free exploration (30 min) think aloud protocol - gather insights about text
36	Example of finding by Tanya Clement studying Gertrude Stein’s text
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48	Questions we addressed What text features are highly repeated in the text? Frequent words Frequent n-grams (consecutive words) Frequent patterns of n-grams (more “fuzzy” non consecutive matches) How do they change over time (i.e. along the text)? Locate features in text Compare features Distribution over time Find features that exhibit specific distributions (e.g. spike)
49	Thank you Text mining requires good UI to analyze results Live demo and technical report at: www.hcil.cs.umd.edu/hcil/textvis/featurelens Support from HCIL and Andrew W. Mellon Foundation