Issue No. 02 - April-June (2013 vol. 12)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MPRV.2012.55
Zhiwen Yu , Northwestern Polytechnical University
Xingshe Zhou , Northwestern Polytechnical University
Yuichi Nakamura , Kyoto University
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.
Semantics, Human factors, Data mining, Feature extraction, Speech recognition, Support vector machines, Social factors
Z. Yu, X. Zhou and Y. Nakamura, "Extracting Social Semantics from Multimodal Meeting Content," in IEEE Pervasive Computing, vol. 12, no. 2, pp. 68-75, 2013.