Ishijima, H., T. Kazumi, and A. Maeda, (2015), “Sentiment Analysis for the Japanese Stock Market,” Global Business and Economics Review, 17(3), 237–255.
Ishijima, H., Kazumi, T. (2017), “Clustering News to Create Sentiment Indexes that Help Predict Stock Prices,” Forthcoming in Proceedings of 2017 International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA'17) comprising 2017 World Congress in Computer Science, Computer Engineering, and Applied Computing (WORLDCOMP'17).