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

研究成果: Conference contribution

抄録

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.

本文言語English
ホスト出版物のタイトル2021 IEEE International Conference on Computing, ICOCO 2021
出版社Institute of Electrical and Electronics Engineers Inc.
ページ366-371
ページ数6
ISBN(電子版)9781665436892
DOI
出版ステータスPublished - 2021
イベント2021 IEEE International Conference on Computing, ICOCO 2021 - Virtual, Online, Malaysia
継続期間: 2021 11月 172021 11月 19

出版物シリーズ

名前2021 IEEE International Conference on Computing, ICOCO 2021

Conference

Conference2021 IEEE International Conference on Computing, ICOCO 2021
国/地域Malaysia
CityVirtual, Online
Period21/11/1721/11/19

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ ネットワークおよび通信
  • コンピュータ サイエンスの応用
  • 情報システムおよび情報管理
  • 安全性、リスク、信頼性、品質管理

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