A Time Series Structure Analysis Method of a Meeting Using Text Data and a Visualization Method of State Transitions-Reference-Cited by-同舟云学术

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

Published:2018-12-17 Issue:1 Volume:37 Page:113-137
ISSN:0288-3635
Container-title:New Generation Computing
language:en
Short-container-title:New Gener. Comput.

Author:

Okada Ryotaro^ORCID,Nakanishi Takafumi,Tanaka Yuichi,Ogasawara Yutaka,Ohashi Kazuhiro

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software

Link

http://link.springer.com/article/10.1007/s00354-018-0050-6/fulltext.html

Reference13 articles.

1. NTT DATA Institute of Management Consulting. Survey on ‘Conference innovation and work style’. https://www.keieiken.co.jp/aboutus/newsrelease/121005/ . Accessed 23 Mar 2017 (in Japanese)

2. Cameron: Working with Spoken Discourse. SAGE Publications Ltd., Thousand Oaks (2001)

3. Okada, R., Nakanishi, T., Tanaka, Y., Ogasawara, Y., Ohashi, K.: A topic structuration method on time series for a meeting from text data. In: Lee, R. (ed.) Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing. SNPD 2017. Studies in Computational Intelligence, vol. 721, pp. 45–59. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-62048-0_4

4. Bergstrom, T., Karahalios, K.: Conversation clock: visualizing audio patterns in co-located groups. In: Proceedings of the Hawaii International Conference on System Sciences (HICSS 2007), pp. 1317–1325 (2007)

5. Ichino, J., Tano, S.: Some characteristics of utterance patterns for discriminating phases of meetings. Inst. Electron. Inf. Commun. Eng. (IEICE) Tech. Rep. Human Commun. Sci. (HCS) 109(224), 23–28 (2009)

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