Construction of a News Classification System Related to Information Security Incidents

Jiansen Zhao, Hiroshi Takahashi

研究成果: Conference contribution

抄録

In this study, based on previous studies on the impact of news related to information security incidents on stock prices, we attempted to extract news related to information security incidents by using sentence similarity calculation in BERT. The stock price fluctuations of the sample news and the extracted news were also measured by event study and compared to verify the effectiveness of the classification model. As a result, the news data with a similarity of about 85% approximates the results of event studies in previous studies. The potential of the classification system was demonstrated.

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 2022 - Proceedings of 16th KES International Conference, KES-AMSTA 2022
編集者Gordan Jezic, Yun-Heh Jessica Chen-Burger, Mario Kusek, Roman Šperka, Robert J. Howlett, Robert J. Howlett, Robert J. Howlett, Lakhmi C. Jain, Lakhmi C. Jain
出版社Springer Science and Business Media Deutschland GmbH
ページ125-133
ページ数9
ISBN(印刷版)9789811933585
DOI
出版ステータスPublished - 2022
外部発表はい
イベント16th KES International Conference on Agents and Multi-Agent Systems: Technologies and Applications, KES-AMSTA 2022 - Rhodes, Greece
継続期間: 2022 6月 202022 6月 22

出版物シリーズ

名前Smart Innovation, Systems and Technologies
306
ISSN(印刷版)2190-3018
ISSN(電子版)2190-3026

Conference

Conference16th KES International Conference on Agents and Multi-Agent Systems: Technologies and Applications, KES-AMSTA 2022
国/地域Greece
CityRhodes
Period22/6/2022/6/22

ASJC Scopus subject areas

  • 決定科学(全般)
  • コンピュータ サイエンス(全般)

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