Automatically Extracting Social Meaning from Speed Dates

From the creator

(January 28, 2011) Dan Jurafsky discusses a system he and his colleagues created that can detect social intentions with above 70% accuracy. He says that this system greatly outperforms humans and describes why humans are especially poor detectors of flirtatiousness, and instead often project their own intended behavior onto their interlocutors. Stanford University: http://www.stanford.edu/ School of Engineering: http://soe.stanford.edu/ Stanford Center for Professional Development: http://scpd.stanford.edu/ Stanford University Channel on YouTube: http://www.youtube.com/stanford

Published 2011-06-03 · Watch on YouTube ↗
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