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Automatic Dominance Detection In Meetings Using Support Vector Machines
Published on Feb 25, 20074310 Views
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 cor
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Dominance detection in Meetings Using Support Vector Machines00:00
Outline00:13
Cooperative00:30
Uncooperative01:06
Dominance02:21
Dominance02:57
But, do people agree on the concept of dominance?04:21
Dominance Judgements04:57
Dominance Judgements05:32
Dominance Judgements07:37
Towards Automatic Dominance Detection08:27
Towards Automatic Dominance Detection09:32
Towards Automatic Dominance Detection11:41
Towards Automatic Dominance Detection12:46
Towards Automatic Dominance Detection13:25
Results14:04
Conclusion15:13
Further research15:42