Reports of the City Planning Institute of Japan
Online ISSN : 2436-4460
Analysis of traditional knowledge in disaster prediction by text mining
A case study in Aichi Prefecture
Seiya HonmaHaruka Ono
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RESEARCH REPORT / TECHNICAL REPORT FREE ACCESS

2021 Volume 19 Issue 4 Pages 473-468

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Abstract

This study deals with the traditional knowledge in disaster prediction in Aichi Prefecture. In recent years, the culture of disaster tradition has been lost. To raise awareness of disaster prevention, it is necessary to effectively analyze, preserve and utilize disaster traditions. Research methods are primarily literature review and text mining, including frequent word analysis and co-occurrence analysis. As a result, it was found that although there is no big difference in the traditional knowledge in disaster prediction in the topography of Aichi prefecture, there are some differences in the words that appear. Also, when it comes to disasters, the language that appears in tradition varies greatly depending on the disaster that is predicted. In the future, it is assumed that will be able to utilize the traditional knowledge in disaster prediction by increasing the number of samples and regions for comparison.

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