Proceedings of the Annual Conference of JSAI
Online ISSN : 2758-7347
36th (2022)
Session ID : 3E3-GS-2-01
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Understanding the Relationship between Weather Conditions and Human Behavior Using Social Media
*Yuta MIYAOKA
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CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

The "Weather Pain Survey 2020" conducted nationwide reported that approximately 60% of all respondents were aware of meteoropathy. However, further investigation is needed to determine whether changes in atmospheric pressure and temperature actually affect social behavior. In this study, we focus on the Imperial Palace Run and examine whether changes in weather conditions affect human behavior. A decision tree model was created from meteorological data and Twitter text data, and it was verified that changes in weather conditions affect the implementation of the Imperial Palace Run.

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© 2022 The Japanese Society for Artificial Intelligence
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