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http://dx.doi.org/10.9708/jksci.2022.27.08.219

Seasonal Weather Factors and Sensibility Change Relationship via Textmining  

Yeo, Hyun-Jin (Dept. of e-Business, Paichai University)
Abstract
The Korea Meteorological Administration(KMA) has been released life-related indexes such as 'Life industrial weather information' and 'Safety weather information' while other countries' meteorological administrations have been made 'Human-biometeorology' and 'Health meteorology' indexes that concern human sensibility effections to diverse criteria. Although human sensibility changes have been studied in psychological research criteria with diverse and innumerous application areas, there are not enough studies that make data mining based validation of sensibility change factors. In this research I made models to estimate sensibility change caused by weather factors such as temperature and humidity, and validated by collecting sensibility data from SNS text crawling and weather data from KMA public dataset. By Logistic Regression, I clarify factors affecting sensibility changes.
Keywords
Weather; Sensibility change; Textmining; Logistic regression; SNS crawling;
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