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SUMMARY:Discovering interesting usage patterns in text collections - Marek
  Rei and Helen Yannakoudakis
DTSTART:20100111T123000Z
DTEND:20100111T133000Z
UID:TALK21630@talks.cam.ac.uk
CONTACT:Diarmuid Ó Séaghdha
DESCRIPTION:At this session of the NLIP Reading Group we’ll be discussin
 g the following paper:\n\nAnthony Don\, Elena Zheleva\, Machon Gregory\, S
 ureyya Tarkan\, Loretta Auvil\, Tanya Clement\, Ben Shneiderman and Cather
 ine Plaisant. 2007. "Discovering interesting usage patterns in text collec
 tions: integrating text mining with visualization":http://hcil.cs.umd.edu/
 trs/2007-08/2007-08.pdf. In Proceedings of CIKM-07.\n\n*Abstract:* This pa
 per addresses the problem of making text mining results more comprehensibl
 e to humanities scholars\, journalists\, intelligence analysts\, and other
  researchers\, in order to support the analysis of text collections. Our s
 ystem\, FeatureLens1\, visualizes a text collection at several levels of g
 ranularity and enables users to explore interesting text patterns. The cur
 rent implementation focuses on frequent itemsets of n-grams\, as they capt
 ure the repetition of exact or similar expressions in the collection. User
 s 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 o
 r sudden appearance of text patterns. The interface could be used to explo
 re other text features as well. Initial studies suggest that FeatureLens h
 elped a literary scholar and 8 users generate new hypotheses and interesti
 ng insights using 2 text collections. \n
LOCATION:GS15\, Computer Laboratory
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