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@article{ART002870191},
author={Hyun-Jin Yeo},
title={Seasonal Weather Factors and Sensibility Change Relationship via Textmining},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2022},
volume={27},
number={8},
pages={219-224},
doi={10.9708/jksci.2022.27.08.219}

TY - JOUR
AU - Hyun-Jin Yeo
TI - Seasonal Weather Factors and Sensibility Change Relationship via Textmining
JO - Journal of The Korea Society of Computer and Information
PY - 2022
VL - 27
IS - 8
PB - The Korean Society Of Computer And Information
SP - 219
EP - 224
SN - 1598-849X
AB - 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.
KW - Weather;Sensibility change;Textmining;Logistic regression;SNS crawling
DO - 10.9708/jksci.2022.27.08.219
ER -

Hyun-Jin Yeo. (2022). Seasonal Weather Factors and Sensibility Change Relationship via Textmining. Journal of The Korea Society of Computer and Information, 27(8), 219-224.

Hyun-Jin Yeo. 2022, "Seasonal Weather Factors and Sensibility Change Relationship via Textmining", Journal of The Korea Society of Computer and Information, vol.27, no.8 pp.219-224. Available from: doi:10.9708/jksci.2022.27.08.219

Hyun-Jin Yeo "Seasonal Weather Factors and Sensibility Change Relationship via Textmining" Journal of The Korea Society of Computer and Information 27.8 pp.219-224 (2022) : 219.

Hyun-Jin Yeo. Seasonal Weather Factors and Sensibility Change Relationship via Textmining. 2022; 27(8), 219-224. Available from: doi:10.9708/jksci.2022.27.08.219

Hyun-Jin Yeo. "Seasonal Weather Factors and Sensibility Change Relationship via Textmining" Journal of The Korea Society of Computer and Information 27, no.8 (2022) : 219-224.doi: 10.9708/jksci.2022.27.08.219

Hyun-Jin Yeo. Seasonal Weather Factors and Sensibility Change Relationship via Textmining. Journal of The Korea Society of Computer and Information, 27(8), 219-224. doi: 10.9708/jksci.2022.27.08.219

Hyun-Jin Yeo. Seasonal Weather Factors and Sensibility Change Relationship via Textmining. Journal of The Korea Society of Computer and Information. 2022; 27(8) 219-224. doi: 10.9708/jksci.2022.27.08.219

Hyun-Jin Yeo. Seasonal Weather Factors and Sensibility Change Relationship via Textmining. 2022; 27(8), 219-224. Available from: doi:10.9708/jksci.2022.27.08.219

Hyun-Jin Yeo. "Seasonal Weather Factors and Sensibility Change Relationship via Textmining" Journal of The Korea Society of Computer and Information 27, no.8 (2022) : 219-224.doi: 10.9708/jksci.2022.27.08.219