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  • 标题:議論構造の可視化による論点の発見と理解
  • 本地全文:下载
  • 作者:Naohiro MATSUMURA ; Yu KATO ; Yukio OHSAWA
  • 期刊名称:知能と情報
  • 印刷版ISSN:1347-7986
  • 电子版ISSN:1881-7203
  • 出版年度:2003
  • 卷号:15
  • 期号:5
  • 页码:554-564
  • DOI:10.3156/jsoft.15.554
  • 出版社:Japan Society for Fuzzy Theory and Intelligent Informatics
  • 摘要:Structured discussion showing complicated flow of topics greatly helps us discover and understand the main points. In this paper, we propose a new system which visualizes discussion structure by linking the topic segments identified from a minutes of meeting. Based on the structured discussion, we also aim at discovering influential topic segments triggering fruitful discussions by applying Influence Diffusion Model (IBM) The results of questionnaire surveys show that (1) the structured discussion can support user's understanding of discussions instinctively (2) the precision of influential topic segments by IDM is higher than that by in-degree and out-degree measurements.
  • 关键词:Visualization of Discussion Structure ; Discussion Structure Map ; Discussion Point ; IDM
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