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Issue No. 02 - April-June (2013 vol. 12)
ISSN: 1536-1268
pp: 68-75
Zhiwen Yu , Northwestern Polytechnical University
Xingshe Zhou , Northwestern Polytechnical University
Yuichi Nakamura , Kyoto University
ABSTRACT
Extracting social semantics from multimodal meeting content can help meeting participants, organizers, and sponsors better understand the social dynamics of exchanging information. The authors present a framework for extracting both low-level (individual) and high-level (group) semantics.
INDEX TERMS
Semantics, Human factors, Data mining, Feature extraction, Speech recognition, Support vector machines, Social factors,multimodal, Semantics, Human factors, Data mining, Feature extraction, Speech recognition, Support vector machines, Social factors, data mining, social semantics, human interaction, meeting
CITATION
Zhiwen Yu, Xingshe Zhou, Yuichi Nakamura, "Extracting Social Semantics from Multimodal Meeting Content", IEEE Pervasive Computing, vol. 12, no. , pp. 68-75, April-June 2013, doi:10.1109/MPRV.2012.55
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