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SVD and Text Mining Integrated Approach to Measure Effects of Disasters on Japanese Economics

Effects of the Thai Flooding in 2011
  • Yuriko Yano
  • Yukari ShirotaEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9949)

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.

Keywords

Singular value decomposition Topic extraction Dirichlet allocation model Thai flooding Disaster effects Stock data analysis 

Notes

Acknowledgement

We thank Prof Takako Hashimoto (Chiba University of Commerce) for her wide range of knowledge about Thai economy that helps our research. This research was partly supported by funds from the Telecommunications Advancement Foundation research project in 2015 to 2016. In addition, this study was partly supported by a grant from the Japanese Society for the Promotion of Science from 2015-2017 (15K03619). We sincerely express our gratitude to the Society for its support.

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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  1. 1.Department of Management, Faculty of EconomicsGakushuin UniversityTokyoJapan

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