Publication | Closed Access
Using the influence model to recognize functional roles in meetings
100
Citations
20
References
2007
Year
Unknown Venue
EngineeringMachine LearningSocial InfluenceCommunicationKernel MethodCorpus LinguisticsOrganizational BehaviorText MiningSocial SciencesSpeech RecognitionNatural Language ProcessingSupport Vector MachineClassification MethodData ScienceData MiningPattern RecognitionManagementAffective ComputingConversation AnalysisGeneralization CapabilitySupervised LearningAutomatic ClassificationKnowledge DiscoveryGroup InteractionApplied Social PsychologyRole TheoryGroup CommunicationOrganizational CommunicationInterpersonal CommunicationRbf KernelsLinguisticsSmall Group ResearchInfluence Model
In this paper, an influence model is used to recognize functional roles played during meetings. Previous works on the same corpus demonstrated a high recognition accuracy using SVMs with RBF kernels. In this paper, we discuss the problems of that approach, mainly over-fitting, the curse of dimensionality and the inability to generalize to different group configurations. We present results obtained with an influence modeling method that avoid these problems and ensures both greater robustness and generalization capability.
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