Automatic Dominance Detection In Meetings Using Support Vector Machines
published: Feb. 25, 2007, recorded: June 2005, views: 4293
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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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