人工知能学会論文誌
Online ISSN : 1346-8030
Print ISSN : 1346-0714
ISSN-L : 1346-0714
速報論文
新聞記事のテキストマイニングによる長期市場動向の分析
藏本 貴久, 和泉 潔, 吉村  忍, 石田 智也, 中嶋 啓浩, 松井 藤五郎, 吉田 稔, 中川 裕志
著者情報
ジャーナル フリー

2013 年 28 巻 3 号 p. 291-296

詳細
抄録
In this study, we developed a new method of the long-term market analysis by using text-mining of news articles. Using our method, we conducted extrapolation tests to predict stock price averages by 19 industry and two market averages, TOPIX and Nikkei225 for about 10 years. As a result, 8 sectors in 21 sectors (about 40%) showed over about 60% accuracy, and 15 sectors in 21 sectors (over 70%) showed over about 55% accuracy. We also developed a web system of financial text-mining based on our method for financial professionals.
著者関連情報
© 2013 JSAI (The Japanese Society for Artificial Intelligence)
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