Title :
Extracting Social Semantics from Multimodal Meeting Content
Author :
Yu, Zhiwen ; Zhou, Xingshe ; Nakamura, Yuichi
Author_Institution :
Northwestern Polytechnical 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.
Keywords :
Data mining; Feature extraction; Human factors; Semantics; Social factors; Speech recognition; Support vector machines; Data mining; Feature extraction; Human factors; Semantics; Social factors; Speech recognition; Support vector machines; data mining; human interaction; meeting; multimodal; social semantics;
Journal_Title :
Pervasive Computing, IEEE
DOI :
10.1109/MPRV.2012.55
