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New Generation Computing

, Volume 37, Issue 1, pp 113–137 | Cite as

A Time Series Structure Analysis Method of a Meeting Using Text Data and a Visualization Method of State Transitions

  • Ryotaro OkadaEmail author
  • Takafumi Nakanishi
  • Yuichi Tanaka
  • Yutaka Ogasawara
  • Kazuhiro Ohashi
Research Paper
  • 49 Downloads

Abstract

In this paper, we present a time series structure analysis method of a meeting using text data and a method for the visualization of state transitions. Our method evaluates and visualizes the convergence/divergence of the meeting in a time series using text data from the meeting. It is important to facilitate and review meetings for improving efficiency. Therefore, it is important not only to review the final agreement and conclusion in the dialogue during the meeting but also to understand the dialogue process. We introduce two indicators: freshness and representativeness. Our system expresses the status of the meeting in four quadrants (“stagnation”, “exploration”, “deepening”, and “consensus building”) corresponding to the combination of degrees of freshness and representativeness. By conducting an analysis using these indicators, we can objectively find which parts of the dialogue stagnated or advanced the discussion. In addition, it is possible to clarify the meeting process as a structure for review and facilitation, thereby improving efficiency of the meeting. Thus, we implemented a system that realizes this method. Furthermore, we applied this system to real data gathered from meetings consisting of actual multi-company members and verified its effectiveness.

Keywords

Meeting support Divergence and convergence Verbal speech information Time series visualization 

Notes

Acknowledgements

We wish to thank Kunihiko Ueshima (Japan Data Exchange Inc.) for his cooperation with the questionnaire.

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Copyright information

© Ohmsha, Ltd. and Springer Japan KK, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Center for Global Communications (GLOCOM)International University of JapanTokyoJapan
  2. 2.Faculty of Data Science, Asia AI InstituteMusashino UniversityTokyoJapan
  3. 3.ITOKI CorporationTokyoJapan

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