@article{ART003329509},
author={Hyun Jin Yeo},
title={A Study on the Correlation between Meteorological Factors and Sentiment using KoBERT-based Multidimensional Sentiment Analysis},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2026},
volume={31},
number={4},
pages={183-189}
TY - JOUR
AU - Hyun Jin Yeo
TI - A Study on the Correlation between Meteorological Factors and Sentiment using KoBERT-based Multidimensional Sentiment Analysis
JO - Journal of The Korea Society of Computer and Information
PY - 2026
VL - 31
IS - 4
PB - The Korean Society Of Computer And Information
SP - 183
EP - 189
SN - 1598-849X
AB - This study analyzes SNS text data, categorized by date and region, integrated with corresponding meteorological data, to investigate changes in human sentiment driven by weather factors from a data science perspective. While prior research on this topic exists, most studies have relied on lexicon-based approaches, classifying weather-induced emotions merely into binary positive or negative categories. In contrast, this study aims to analyze a diverse range of emotions associated with weather conditions by classifying sentiments into multiple categories using Natural Language Processing (NLP) based on BERT (Bidirectional Encoder Representations from Transformers). To achieve this, we utilized the 'Sentiment Dialogue Corpus' from AI Hub and a dataset classified into seven distinct emotions using KoBERT.
The analysis demonstrated significant model performance based on meteorological variables such as temperature, precipitation, and humidity.
KW - Deep Learning;Sentiment analysis;Weather;BERT;Textmining
DO -
UR -
ER -
Hyun Jin Yeo. (2026). A Study on the Correlation between Meteorological Factors and Sentiment using KoBERT-based Multidimensional Sentiment Analysis. Journal of The Korea Society of Computer and Information, 31(4), 183-189.
Hyun Jin Yeo. 2026, "A Study on the Correlation between Meteorological Factors and Sentiment using KoBERT-based Multidimensional Sentiment Analysis", Journal of The Korea Society of Computer and Information, vol.31, no.4 pp.183-189.
Hyun Jin Yeo "A Study on the Correlation between Meteorological Factors and Sentiment using KoBERT-based Multidimensional Sentiment Analysis" Journal of The Korea Society of Computer and Information 31.4 pp.183-189 (2026) : 183.
Hyun Jin Yeo. A Study on the Correlation between Meteorological Factors and Sentiment using KoBERT-based Multidimensional Sentiment Analysis. 2026; 31(4), 183-189.
Hyun Jin Yeo. "A Study on the Correlation between Meteorological Factors and Sentiment using KoBERT-based Multidimensional Sentiment Analysis" Journal of The Korea Society of Computer and Information 31, no.4 (2026) : 183-189.
Hyun Jin Yeo. A Study on the Correlation between Meteorological Factors and Sentiment using KoBERT-based Multidimensional Sentiment Analysis. Journal of The Korea Society of Computer and Information, 31(4), 183-189.
Hyun Jin Yeo. A Study on the Correlation between Meteorological Factors and Sentiment using KoBERT-based Multidimensional Sentiment Analysis. Journal of The Korea Society of Computer and Information. 2026; 31(4) 183-189.
Hyun Jin Yeo. A Study on the Correlation between Meteorological Factors and Sentiment using KoBERT-based Multidimensional Sentiment Analysis. 2026; 31(4), 183-189.
Hyun Jin Yeo. "A Study on the Correlation between Meteorological Factors and Sentiment using KoBERT-based Multidimensional Sentiment Analysis" Journal of The Korea Society of Computer and Information 31, no.4 (2026) : 183-189.
