C4.5: programs for machine learning
C4.5: programs for machine learning
Discussion mining: annotation-based knowledge discovery from real world activities
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part I
Inferring Human Interactions in Meetings: A Multimodal Approach
UIC '09 Proceedings of the 6th International Conference on Ubiquitous Intelligence and Computing
Smart meeting systems: A survey of state-of-the-art and open issues
ACM Computing Surveys (CSUR)
Multimodal sensing, recognizing and browsing group social dynamics
Personal and Ubiquitous Computing
A multi-modal dialogue analysis method for medical interviews based on design of interaction corpus
Personal and Ubiquitous Computing
Social interaction mining in small group discussion using a smart meeting system
UIC'11 Proceedings of the 8th international conference on Ubiquitous intelligence and computing
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Discussion mining is a preliminary study on gathering knowledge based on the content of face-to-face discussion meetings. To extract knowledge from discussion content, we have to analyze not only the surface arguments, but also semantic information such as a statement's intention and the discussion flow during meetings. We require a discussion ontology for this information. This discussion ontology forms the basis of our discussion methodology and requires semantic relations between elements in meetings. We must clarify these semantic relations to build the discussion ontology. We therefore generated discussion content and analyzed meeting metadata to build the ontology.