Abstract
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 features that were used. © Springer-Verlag Berlin Heidelberg 2006.
Cite
CITATION STYLE
APA
Rienks, R., & Heylen, D. (2006). Dominance detection in meetings using easily obtainable features. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3869 LNCS, pp. 76–86). https://doi.org/10.1007/11677482_7
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