SVD and text mining integrated approach to measure effects of disasters on Japanese economics effects of the Thai flooding in 2011

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Abstract

In this paper, we analyzed effects of the 2011 Thai flooding on Japanese economics. In the paper, we propose, as a new time series economics data analysis method, an integrated approach of Singular Value Decomposition on stock data and news article text mining. There we first find the correlations among companies’ stock data and then in order to find the latent logical reasons of the associations, we conduct text mining. The paper shows the two-stage approach’s advantages to refine the logical reasoning. Concerning the Thai flooding effects on the Japan’s economy, as unexpected moves, we have found the serious harms on the Japanese food and drink companies and its quick recoveries.

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APA

Yano, Y., & Shirota, Y. (2016). SVD and text mining integrated approach to measure effects of disasters on Japanese economics effects of the Thai flooding in 2011. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9949 LNCS, pp. 20–29). Springer Verlag. https://doi.org/10.1007/978-3-319-46675-0_3

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