Construction of news article evaluation system using language generation model

Yoshihiro Nishi, Aiko Suge, Hiroshi Takahashi

研究成果: Conference contribution

抄録

This study constructed a news article evaluation system that utilizes a language generation model to analyze financial markets. This system enables us to analyze the effect of news articles distributed in financial markets on the stock price of a company. We added the generated news articles as data for analysis through GPT-2 and verified the accuracy of the constructed system. As a result of empirical analyses, we confirmed that the accuracy of the model with the generated news articles improved. More detailed analyses are planned for the future.

本文言語English
ホスト出版物のタイトルAgents and Multi-Agent Systems
ホスト出版物のサブタイトルTechnologies and Applications - 14th KES International Conference, KES-AMSTA 2020, Proceedings
編集者G. Jezic, M. Kusek, J. Chen-Burger, R. Sperka, Robert J. Howlett, Robert J. Howlett, Lakhmi C. Jain, Lakhmi C. Jain, Lakhmi C. Jain
出版社Springer
ページ313-320
ページ数8
ISBN(印刷版)9789811557637
DOI
出版ステータスPublished - 2020 1 1
イベント14th International KES Conference on Agents and Multi-Agent Systems: Technologies and Applications, KES-AMSTA 2020 - Split, Croatia
継続期間: 2020 6 172020 7 19

出版物シリーズ

名前Smart Innovation, Systems and Technologies
186
ISSN(印刷版)2190-3018
ISSN(電子版)2190-3026

Conference

Conference14th International KES Conference on Agents and Multi-Agent Systems: Technologies and Applications, KES-AMSTA 2020
CountryCroatia
CitySplit
Period20/6/1720/7/19

ASJC Scopus subject areas

  • Decision Sciences(all)
  • Computer Science(all)

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