Automatic Dominance Detection In Meetings Using Support Vector Machines

author: Rutger Rienks, Research Group Human Media Interaction (HMI), University of Twente
published: Feb. 25, 2007,   recorded: June 2005,   views: 4294


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We show that, using a Support Vector Machine classifier, it is possible to determine with a 75% success rate who dominated a particular meeting on the basis of a few basic features. We discuss the corpus we have used, the way we had people judge dominance and the details of the classifier and features that were used.

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Download slides icon Download slides: mlmi04uk_rienks_addmu_01.ppt (125.0┬áKB)

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