要約文章生成と意味類似度による株式市場におけるニュース記事の影響度の測定
2020 年 2020 巻 BI-016 号 p. 05-
詳細
2020 年 2020 巻 BI-016 号 p. 05-
Stock market fluctuations are caused by various factors. This study focuses on news articles toimprove the accuracy of stock market predictions. The effect of news articles is bigger when informationthat was not predicted is public, earning surprise. We have summarized past news articles by GPT-2 todiscover news trends. We also converted the news articles into vectors and link them to stock prices bymachine learning. As a result of this analysis, we were able to improve the accuracy of stock market pre-dictions.
