Situational estimation of sports broadcasting using a character level auto-encoder for live tweets

Nodoka Fujimoto, Taketoshi Ushiama

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

抄録

Real-time videos enable people to experience real-world events in real time. However, it is challenging for people to keep watching an event when they are busy and have other activities to carry out. It is therefore crucial to develop a method for supporting the viewers' real-time video viewing effectively. Using sports broadcasting as a representative example of such videos, our goal is to develop a system that detects and automatically estimates the events in sports games that are likely to be of high value to the viewers and notifies them in real time during sports broadcasts. To this end, we propose a general-purpose method that efficiently models situations from small amounts of tweets without using domain-specific knowledge. The effectiveness of the method was verified via experiments by estimating the number of tweets posted from the modeled features of a situation with high accuracy.

本文言語英語
ホスト出版物のタイトルProceedings - 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2020
編集者Jing He, Hemant Purohit, Guangyan Huang, Xiaoying Gao, Ke Deng
出版社Institute of Electrical and Electronics Engineers Inc.
ページ316-322
ページ数7
ISBN(電子版)9781665419246
DOI
出版ステータス出版済み - 12 2020
イベント2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2020 - Virtual, Online
継続期間: 12 14 202012 17 2020

出版物シリーズ

名前Proceedings - 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2020

会議

会議2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2020
CityVirtual, Online
Period12/14/2012/17/20

All Science Journal Classification (ASJC) codes

  • 人工知能
  • コンピュータ ネットワークおよび通信
  • ソフトウェア

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