Multimodal Discussion Analysis Based on Temporal Sequence

  • Katsumi Nitta
Part of the Studies in Computational Intelligence book series (SCI, volume 423)

Abstract

This research proposes a novel method for analysis of discussion record. One of the important features of our approach is to use both a logical analysis method and a word occurrence analysis method. A subject of discussion is analyzed and important issue factors are listed before the discussion starts. The logical analysis method describes the structure of the discussion referring to the issue factors. The word occurrence analysis method recognizes key topics and key utterance by observing utterances and nonverbal information such as action, facial expressions and so on.

Keywords

Temporal Sequence Ranking Function Issue Factor Issue Point Dummy Node 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Katsumi Nitta
    • 1
  1. 1.Interdisciplinary Graduate School of Technology and ScienceTokyo Institute of TechnologyTokyoJapan

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