Smoking Hot Data

We interviewed researchers at the University of Illinois Chicago in the Health Media Collaboratory about their use of DiscoverText and the Gnip-enabled Power Track for Twitter to study smoking behavior. The team, led by Dr. Sherry Emery, explains why it is important to train and use custom machine classifiers to sort the millions of tweets they are collecting from the full Twitter fire hose. The UIC team strongly argues for the combination of good tools and highly reliable data.

Smoking Hot Data and Text Analytics: DiscoverText, Gnip, and the Health Media Collaboratory from Stuart Shulman on Vimeo.

About Stuart Shulman

Stuart Shulman is a political science professor, software inventor, entrepreneur and garlic growing enthusiast who coaches U12 boys club soccer with a national D-license. He is Founder & CEO of Texifter, LLC, Director of QDAP-UMass, and Editor Emeritus of the Journal of Information Technology & Politics. Stu is the proud owner of a Bernese/Shepherd named "Colbert" who is much better known as 'Bert. You can follow his exploits @stuartwshulman.
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