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CS Colloquium: Jordan Boyd-Graber (Maryland)
Start Date: 4/11/2013Start Time: 3:30 PM
End Date: 4/11/2013End Time: 4:30 PM
Event Description:
"Big Data Analysis with Topic Models: Human Interaction, Streaming Computation, and Social Science Applications"
Jordan Boyd-Graber
University of Maryland

ECCR 265
Thursday, April 11
3:30-4:30 PM

ABSTRACT: A common information need is to understand large, unstructured datasets: millions of e-mails during e-discovery, a decade worth of science correspondence, or a day’s tweets. In the last decade, topic models have become a common tool for navigating such datasets. This talk investigates the foundational research that allows successful tools for these data exploration tasks: how to know when you have an effective model of the dataset; how to correct bad models; how to scale to large datasets; and how to detect framing and spin using these techniques. After introducing topic models, I argue why traditional measures of topic model quality---borrowed from machine learning---are inconsistent with how topic models are actually used. In response, I describe interactive topic modeling, a technique that enables users to impart their insights and preferences to models in a principled, interactive way. I will then address computational and statistical limits to existing approaches and how streaming topic models, with an "infinite vocabulary", can be applied to real-world online datasets. Finally, I’ll discuss ongoing collaborations with political scientists to use these techniques to detect spin and framing in political and online interactions.

BIO: Jordan Boyd-Graber is an assistant professor in the University of Maryland's iSchool and the Institute for Advanced Computer Studies. He is a 2010 graduate of Princeton University, with a PhD thesis on "Linguistic Extensions of Topic Models", under David Blei.

Hosted by Liz Jessup.
Location Information:
Main Campus - Engineering Classroom Wing  (View Map)
1111 Engineering DR
Boulder, CO
Room: 265
Contact Information:
Name: Bor-yuh Evan Chang
Phone: 303-492-8894
Email: evan.chang@colorado.edu
Photo of Jordan Boyd-Graber
Attachments For This Event:
    > Jordan Boyd-Graber Colloquium flyer
This event is open to
  • Everyone
  • Of note:
    Free and open to all.
    Light refreshments will be served.

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