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IEEE Workshop on Interactive Visual Text Analytics for Decision Making

at VisWeek 2011, Providence, RI, USA

Analyzing text documents has become increasingly an important part of decision making in large corporations, small businesses, and households. This workshop will explore advanced research in the field of text visualization and analytics and their applications.

The goal of this workshop was to bring together researchers and industry practitioners interested in text visualization, text analytics, and visual analytics, to define the emerging fields of visual text analytics, and to discuss ideas, techniques, and applications to support decision making in different domains.

Topics

We invited paper submissions that address any topic related to visual text analytics and application domains especially how interactive visual text analytics can facilitate decision making. Topics of interest include but are not limited to:

• Visual and interaction design for text analytics
• Visual representation, structure, metaphors for text
• Perception and cognition in text visualizations
• Systems, languages, and architectures for text analytics
• Methodologies, processes for visual text analysis
• Collaborative analysis of text corpora
• Real-time visualization of streaming text data
• Visual text analytics in social media
• Industry-specific applications of visual text analytics (e.g. Retail, Healthcare, Government, etc.)
• Studies of analytic work on document collections
• Evaluation of visualization techniques; Metrics and bench-marks
• Datasets and tasks for visual text analytics to facilitate decision making
• Representations of uncertainty in text analytics

Accepted Papers

Real-Time Visualization of Streaming Text Data: Tasks and Challenges (BEST PAPER AWARD!)
Christian Rohrdantz, Daniela Oelka, Miloš Krstajić, and Fabian Fischer
 
Analytic Steering: Inserting Context into the Information Dialog
Shawn J. Bohn, Augustin J. Calapristi, Shyretha D. Brown, and Grant C. Nakamura
 
Facets for Discovery and Exploration in Text Collections
Stuart Rose, Ian Roberts, and Nick Cramer
 
Geospatial and Entity Driven Document Visualization for Non-Proliferation Analysis
Jeffrey Baumes, Jason Shepherd, Aashish Chaudhary
 
Unifying the Sensemaking Loop with Semantic Interaction
Alex Endert, Patric Fiaux, and Chris North
 
OpinionBlocks: Visualizing Consumer Reviews
Basak Alper, Huahai Yang, Eben Haber, and Eser Kandogan
 
Tapestry: Enhancing In-depth Text Analysis at Document Level
Xiaohua Sun
 

Accepted Posters

TopicView: Understanding Document Relationships Using Latent Dirichlet Allocation Models
Patricia J. Crossno, Andrew T. Wilson, Daniel M. Dunlavy, and Timothy M. Shead
 
Visual Text Analytics for Impromptu Analysts
Oriana J. Love, Daniel M. Best, Joseph R. Bruce, Scott T. Dowson, and Christopher S. Larmey
 
Blending Concept Extraction, Semantic Wikis and Ontologyes for Text Analysis: The Luminary System Edward Swing  
Identifying Topical Trends in Social Media with Topic Modeling
Wenwen Dou, Xiaoyu Wang, Thomas Kraft, and William Ribarsky
 
Interactive Folksonomic Analytics with the Tag River Visualization
Angus Graeme Forbes, Basak Alper, Tobias Höllerer, and George Legrady
 

Keynote Talk

The Role of Visualization in Visual Document Analysis
Daniel Keim, University of Konstanz

Never before in history textual data is generated and collected at such high volumes as it is today. As the volumes of data available to business people, scientists, and the public increase, their effective use becomes more challenging.
Visual document analysis tries to integrate the analytic capabilities of the computer and the abilities of the human analysts to help them in understanding the document collections. But what is the role of visualization in this process?
So far, most visual document analysis techniques are dominated by the analytic processing of the document collections and visualization is in most cases only used to present the results of this process to the user. The talk presents the challenges of visual document analysis and exemplifies them with several application examples, illustrating the exiting potential of current visual document analysis techniques but also their limitations.

Schedule

Date: October 24
Location : Room 555-AB

8:30-8:40 Welcome (10 min)

8:40-9:40 Keynote speech (60 min)
Daniel Keim, University of Konstanz

9:40-10:00 Introductions (20 min, 10 people)
<any attendee will be encouraged to stand up and introduce themselves>

10:00-10:30 Break (30 min)

10:30-11:30 Paper Session I – (60 min, 3 presentations)
Real-Time Visualization of Streaming Text Data: Tasks and Challenges
Christian Rohrdantz, Daniela Oelke, Miloš Krstajić, and Fabian Fischer, University of Konstanz

Unifying the Sensemaking Loop with Semantic Interaction
Alex Endert, Patrick Fiaux, Chris North, Virginia Tech

Analytic Steering: Inserting Context into the Information Dialog
Shawn J. Bohn, Augustin J. Calapristi, Shyretha D. Brown, and Grant C. Nakamura, Pacific Northwest National Laboratory

11:30-12:00 Paper Discussion Session I (30 min)

12:00-13:30 Lunch Break (90 min)

13:30-13:40 Posters Madness (10 min, 5 posters)

13:40-14:30 Posters (40 min)
Interactive Folksonomic Analytics with the Tag River Visualization
Angus Graeme Forbes, Basak Alper, Tobias H¨ ollerer, and George Legrady, University of California, Santa Barbara

Identifying Topical Trends in Social Media with Topic Modeling
Wenwen Dou, Xiaoyu Wang, Thomas Kraft, and William Ribarsky, Univeristy of North Carolina,  Charlotte & St. Lawrence University

Topic View: Understanding Document Relationships Using Latent Dirichlet Allocation Models
Patricia J. Crossno, Andrew T. Wilson, Daniel M. Dunlavy, and Timothy M. Shead, Sandia National Laboratory

Blending Concept Extraction, Semantic Wikis and Ontologies for Text Analysis: The Luminary System
Edward Swing, VSTI/SAS

Visual Text Analytics for Impromptu Analysts
Oriana J. Love, Daniel M., Joseph R. Bruce, Scott T. Dowson and Christopher S. Larmey, Pacific Northwest National Laboratory

14:30-15:00 Break  (30 min)

15:00-16:20 Paper Session II – (80 min, 4 presentations)
OpinionBlocks: Visualizing Consumer Reviews
Basak Alper, Huahai Yang, Eben Haber, Eser Kandogan, University of California, Santa Barbara & IBM Research – Almaden

Tapestry: Enhancing In-depth Text Analysis at Document Level
Xiaohua Sun, Tongji University

Facets for Discovery and Exploration in Text Collections
Stuart Rose, Ian Roberts, and Nick Cramer, Pacific Northwest National Laboratory

Geospatial and Entity Driven Document Visualization for Non-proliferation Analysis
Jeffrey Baumes, Jason Shepherd, Aashish Chaudhary, Kitware Inc. & Sandia National Laboratory

16:20-17:00 Paper Discussion Session II (40 min)

17:00-17:45 Townhall Meeting/Closing (45 min)

Organizers

Christopher Collins, University of Ontario Institute of Technology
Eser Kandogan, IBM Research
Shixia Liu, Microsoft Research Asia
Michelle Zhou, IBM Research

Please send inquiries for further information to Eser Kandogan: eser@us.ibm.com.

 


Updated 1 Novebmer, 2011