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tutorial 11
T11  Visual Mining of Text Collections

Date: Tuesday, September 4th, Time: 09:00 - 12:30, Location: Lecture Room 133

Organizers:  Rosane Minghim (University of Sao Paulo, Brazil)
Haim Levkowitz (University of Massachusetts Lowell, USA)
 
Speakers:  Rosane Minghim (University of Sao Paulo, Brazil)
Haim Levkowitz (University of Massachusetts Lowell, USA)


Abstract:

What happens if you have to examine and reach conclusions from a considerable amount of textual documents? If you are faced with this task or with developing tools for completing this task, this tutorial is for you.

Examining text is crucial for many different types of applications. Even applications that rely on additional types of data (such as images, signals, simulations) usually have complementary or alternative text based output. The challenge of interpreting content and extracting useful information from a document collection is the target of efforts in various areas of computer science. Fields such as Text Mining try to extract knowledge automatically or semi-automatically from collected textual information; however, due to the multi-dimensional characteristics of text it is paramount to couple these algorithms with meaningful visual representations in order to improve performance and allow the discovery of relevant information within a text data set.

Since it is not feasible to go through their entire content in detail due to data sizes and time constraints, Visual Text Mining (VTM) - the combination of Text Mining and Visualization - is focused on developing tools to support users extract meaning from text collections without extensive reading.

In this tutorial we introduce the the background necessary and the graphical techniques involved in Visual Text Mining of document collections.


  

  



Extended Summary

  1. Overview, motivation, goals

  2. Two Test Cases: Visual maps of flash news and scientific papers

  3. Basic Concepts
    1. Text Preprocessing and Retrieval
    2. Text Mining
    3. Projection Techniques
    4. Visual Representations: graphs, triangulations, surfaces, volumes
    5. Visual and Text Analytics

  4. From Visualization to Visual Text Mining
    1. Visualization Techniques for Multidimensional Data
    2. Visualization Techniques and Systems for Handling Document Collections
    3. Visual Text Mining

  5. Projection Based Visualization and its Application to Visual Text Mining
    1. Projection Techniques
    2. Mapping Text Collections via Projections
    3. Topic Extraction and Visualization
    4. Further Examples

  6. Conclusions, Current Challenges, Future Trends


Speakers' Background

Rosane Minghim is an Assistant professor at ICMC (The Institute for Mathematics and Computer Science) - University of Sao Paulo, Sao Carlos, SP, Brazil. She received her Ph.D. degree from the University of East Anglia, U.K., in 1995 and was a Visiting Scholar at the University of Massachusetts, Lowell, from Summer 2001 through Winter 2002. She currently coordinates a project on the development of a repository of techniques visualization and visual data mining tasks, (with grants from FAPESP -- The Sao Paulo State Research Foundation, Brazil, and CNPq, Brazil). Additionally, she is co-principal investigator of a project on VR for teaching in medicine (with grant from FINEP - National Fund for Development of Science and Technology, Brazil). Her research interests involve various aspects of visualization, visual data mining, visual text mining, sonification and virtual reality.

Haim Levkowitz is Associate Professor of Computer Science and Co- Director of the Institute for Visualization and Perception Research at UMass Lowell, Lowell, MA, USA. A world-renowned expert in perception, visualization, and sonification, he is Author of "Color Theory and Modeling for Computer Graphics, Visualization, and Multimedia Applications," Kluwer Academic Publishers, 1997; Co-Editor of "Perceptual Issues in Visualization," Springer-Verlag, 1995; and author of "Color Graphics" in the Visualization and Computer Graphics area of the Wiley Encyclopedia of Electrical and Electronics Engineering, 1999. He was a Co-Principal Investigator of the first National Science Foundation grant awarded for research on sonification. Dr. Levkowitz has lectured and taught extensively on graphics, perception, visualization, and sonification.



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