Visualization of Topic Distribution of Discussion on Social Media to Facilitate Experience of Novices

Hiroki Nakayama; Kota Chiba; Ryo Onuma; Hiroaki Kaminaga; Youzou Miyadera; Shoichi Nakamura

doi:10.1109/ICOCO53166.2021.9673540

Visualization of Topic Distribution of Discussion on Social Media to Facilitate Experience of Novices

Hiroki Nakayama, Kota Chiba, Ryo Onuma, Hiroaki Kaminaga, Youzou Miyadera, Shoichi Nakamura

Global Education Center

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The number of opportunities for discussion on social media is increasing. However, there are difficulties associated with its characteristics. In this study, we aim to develop a method to facilitate novices' discussion experience by extracting and suggesting useful discussion cases from social media conversations. In this paper, we describe a method for visualizing the distribution of discussion topics as a trigger for novices to choose on which discussions to focus. Moreover, we describe an experiment using actual data.

Original language	English
Title of host publication	2021 IEEE International Conference on Computing, ICOCO 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	366-371
Number of pages	6
ISBN (Electronic)	9781665436892
DOIs	https://doi.org/10.1109/ICOCO53166.2021.9673540
Publication status	Published - 2021
Event	2021 IEEE International Conference on Computing, ICOCO 2021 - Virtual, Online, Malaysia Duration: 2021 Nov 17 → 2021 Nov 19

Publication series

Name	2021 IEEE International Conference on Computing, ICOCO 2021

Conference

Conference	2021 IEEE International Conference on Computing, ICOCO 2021
Country/Territory	Malaysia
City	Virtual, Online
Period	21/11/17 → 21/11/19

Keywords

discussion cases
fostering the ability to carry out discussions
information visualization
social media
topic distribution

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Computer Science Applications
Information Systems and Management
Safety, Risk, Reliability and Quality

Access to Document

10.1109/ICOCO53166.2021.9673540

Cite this

Nakayama, H., Chiba, K., Onuma, R., Kaminaga, H., Miyadera, Y., & Nakamura, S. (2021). Visualization of Topic Distribution of Discussion on Social Media to Facilitate Experience of Novices. In 2021 IEEE International Conference on Computing, ICOCO 2021 (pp. 366-371). (2021 IEEE International Conference on Computing, ICOCO 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICOCO53166.2021.9673540

Visualization of Topic Distribution of Discussion on Social Media to Facilitate Experience of Novices. / Nakayama, Hiroki; Chiba, Kota; Onuma, Ryo et al.

2021 IEEE International Conference on Computing, ICOCO 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 366-371 (2021 IEEE International Conference on Computing, ICOCO 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Nakayama, H, Chiba, K, Onuma, R, Kaminaga, H, Miyadera, Y & Nakamura, S 2021, Visualization of Topic Distribution of Discussion on Social Media to Facilitate Experience of Novices. in 2021 IEEE International Conference on Computing, ICOCO 2021. 2021 IEEE International Conference on Computing, ICOCO 2021, Institute of Electrical and Electronics Engineers Inc., pp. 366-371, 2021 IEEE International Conference on Computing, ICOCO 2021, Virtual, Online, Malaysia, 21/11/17. https://doi.org/10.1109/ICOCO53166.2021.9673540

Nakayama H, Chiba K, Onuma R, Kaminaga H, Miyadera Y, Nakamura S. Visualization of Topic Distribution of Discussion on Social Media to Facilitate Experience of Novices. In 2021 IEEE International Conference on Computing, ICOCO 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 366-371. (2021 IEEE International Conference on Computing, ICOCO 2021). doi: 10.1109/ICOCO53166.2021.9673540

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title = "Visualization of Topic Distribution of Discussion on Social Media to Facilitate Experience of Novices",

abstract = "The number of opportunities for discussion on social media is increasing. However, there are difficulties associated with its characteristics. In this study, we aim to develop a method to facilitate novices' discussion experience by extracting and suggesting useful discussion cases from social media conversations. In this paper, we describe a method for visualizing the distribution of discussion topics as a trigger for novices to choose on which discussions to focus. Moreover, we describe an experiment using actual data.",

keywords = "discussion cases, fostering the ability to carry out discussions, information visualization, social media, topic distribution",

author = "Hiroki Nakayama and Kota Chiba and Ryo Onuma and Hiroaki Kaminaga and Youzou Miyadera and Shoichi Nakamura",

note = "Funding Information: ACKNOWLEDGMENT This work was supported in part by Japan Society for the Promotion of Science KAKENHI (No.19K20426). Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Conference on Computing, ICOCO 2021 ; Conference date: 17-11-2021 Through 19-11-2021",

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Visualization of Topic Distribution of Discussion on Social Media to Facilitate Experience of Novices

Abstract

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Keywords

ASJC Scopus subject areas

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