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Department seminar: Visual text analytics for exploring and understanding large datasets

January 16 @ 12:00 pm - 1:00 pm

Professor Enamul Prince (York University)

Visual text analytics for exploring and understanding large datasets

Date: Wednesday January 16th 12-1pm

Location: LAS 3033

Lunch will be provided.

Abstract:

The inception of the World Wide Web, the rise of social media, and the recent emergence of big data
have led to rapidly growing information spaces. We can consider this phenomenon as a double-edged
sword: while the abundance of data opens up a great opportunity for significant discoveries,
the information overload problem poses critical challenges, for both understanding and
presentation.

In this talk, I will describe how we can address the challenges of information overload problem
using an interdisciplinary lens, combining data visualization and human-computer interaction with
natural language processing. I will first present the user-centered design and evaluation of a set of
visual analytics tools for exploring and understanding online conversations (such as blogs) by
combining topic modeling and sentiment analysis with visualization techniques. I will then
discuss how natural language can be used as an input modality to facilitate interaction with visual
analytics and describe the user studies that illustrate the potential benefits of such interaction
techniques for improving the flow of visual data analysis. I will conclude by discussing some
ongoing work on supporting information seeking tasks on a huge corpus of visualizations, as well as
my long-term vision of building visual analytics systems that can scale up for big data and adapt to
different user characteristics.

Speaker:

Enamul Hoque Prince is an Assistant Professor in the School of Information Technology at York
University. Before joining York University, he was a postdoctoral fellow in the HCI group at
Stanford University. His research addresses the challenges of the information overload problem
using an interdisciplinary lens, combining information visualization and human-computer
interaction with natural language processing. More specifically, he focuses on devising novel visual
analytics techniques to explore large datasets such as online conversations as well as
understanding the utility and potential trade-offs of such techniques from the real user’s
perspectives.

Enamul completed his Ph.D. in Computer Science from the University of British Columbia. He has
conducted research on visual analytics at Tableau Software and the Qatar Computing Research
Institute. His work has appeared in top journals and conferences including IEEE Transactions on
Visualization and Computer Graphics, ACM Transactions on Interactive Intelligent Systems, ACM
CHI Conference on Human Factors in Computing Systems, ACM User Interface Software and
Technology Symposium, ACM Intelligent User Interfaces, and ACL.

Details

Date:
January 16
Time:
12:00 pm - 1:00 pm
Event Category:

Organizer

Gerd Grau
Phone:
413-736-2100x70127
Email:
grau@eecs.yorku.ca

Venue

3033 Lassonde Building
York University
North York, Ontario M3J Canada
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