[Infovis] CFP: Visual Text Analytics '12 - Task-Driven Analysis of Social Media Content

John Stasko john.stasko at cc.gatech.edu
Thu Aug 9 15:48:24 CEST 2012


Call for Participation

The 2nd Workshop on Interactive Visual Text Analytics:
Task-Driven Analysis of Social Media Content

   a workshop at IEEE VisWeek '12
   October 14, 2012

http://research.microsoft.com/en-us/um/people/shliu/tasmc

WORKSHOP GOAL
Hundreds of millions of people express themselves daily on social
media, such as Twitter. They share their personal status updates such
as "just got married", publicize location-based information such
as where they were and are planning to go, and voice their sentiment
about products and services. Since the buzz of the crowd on social
media provides a great deal of information that was not available
before, businesses and organizations have started leveraging social
media to profile customers, derive brand perception, gauge citizen
sentiments, and predict the stock market. For example, retailers track
and examine customer social media posts to understand customer
sentiments toward their products and services. Healthcare providers
analyze patient posts in online forums to better understand
patients' needs and progresses.

The goal of this workshop is to bring together researchers and
practitioners interested in social media, text visualization, text
analytics, and visual analytics, to define the emerging field of
visual text analysis of social media. We are particularly interested
in discussing tasks, techniques, and applications in different
domains. In other words, we would like to establish a better
understanding what major tasks that people aim to accomplish in using
visual text analysis of social media and how different tasks call for
different text analytics and/or interactive visualization
techniques. As a result, we hope to derive a task taxonomy that
describes the intended user tasks, and corresponding text analytics
and visualization technologies in the context of analyzing social
media text. This taxonomy can then be used to guide the use and
development of text analytics and visualization techniques.

PAPER SUBMISSION
We invite 2-4 page position paper submissions that address topics
related to visual text analysis of social media, with a requirement
that every submission must clearly state the specific tasks to be
achieved. Topics of interest include but are not limited to:

- Task taxonomy of analysis of social media text
- Visual metaphors for social media text
- Perception and cognition in visualizing social media text
- Systems, languages, and architectures for social media text analysis
- Collaborative analysis of social media text
- Real-time visualization of streaming social media text
- Visual opinion summarization from social media
- Visual event identification and prediction from social media
- Visual representations and techniques for dealing with
   uncertainty in interactive social media text analysis
- Industry-specific applications of visual analysis of
   social media (e.g. Retail, Healthcare, Government, etc.)
- Studies and evaluation of social media text visualization
   techniques, systems, metrics, and bench-marks
- Datasets and tasks for visual text analysis of social media

IMPORTANT DATES
August 31st: Position paper due
September 14th: Notification
October 1st: Final version of papers due
October 14th: Visual text analytics workshop

Submission instructions will be available on the workshop website

ORGANIZERS
Eser Kandogan, IBM Research-Almaden
Shixia Liu, Microsoft Research Asia
John Stasko, Georgia Tech
Huahai Yang, IBM Research-Almaden
Michelle Zhou, IBM Research-Almaden


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