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人工知能学会論文誌
Vol. 28 (2013) No. 3 論文特集「2012年度全国大会速報論文特集」,一般論文 p. 291-296

記事言語:

http://doi.org/10.1527/tjsai.28.291

速報論文

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.

Copyright © 2013 JSAI (The Japanese Society for Artificial Intelligence)

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