@article{ART002580165},
author={Shin, Pan-Seop},
title={Emotional analysis system for social media using sentiment dictionary with newly-created words},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2020},
volume={25},
number={4},
pages={133-140},
doi={10.9708/jksci.2020.25.04.133}
TY - JOUR
AU - Shin, Pan-Seop
TI - Emotional analysis system for social media using sentiment dictionary with newly-created words
JO - Journal of The Korea Society of Computer and Information
PY - 2020
VL - 25
IS - 4
PB - The Korean Society Of Computer And Information
SP - 133
EP - 140
SN - 1598-849X
AB - Emotional analysis is an application of opinion mining that analyzes opinions and tendencies of people appearing in unstructured text. Recently, emotional analysis of social media has attracted attention, but social media contains newly-created words and slang, so it is not easy to analyze with existing emotional analysis. In this study, I design a new emotional analysis system to solve these problems. The proposed system is possible to analyze various emotions as well as positive and negative in social media including newly-created words and slang. First, I collect newly-created words and slang related to emotions that appear in social media. Then, expand the existing emotional model and use it to quantify the degree of sentiment in emotional words. Also, a new sentiment dictionary is constructed by reflecting the degree of sentiment. Finally, I design an emotional analysis system that applies an sentiment dictionary that includes newly-created words and an extended emotional model.
KW - Sentiment dictionary;Emotion model;Emotion analysis;Opinion mining;Newly-created words
DO - 10.9708/jksci.2020.25.04.133
ER -
Shin, Pan-Seop. (2020). Emotional analysis system for social media using sentiment dictionary with newly-created words. Journal of The Korea Society of Computer and Information, 25(4), 133-140.
Shin, Pan-Seop. 2020, "Emotional analysis system for social media using sentiment dictionary with newly-created words", Journal of The Korea Society of Computer and Information, vol.25, no.4 pp.133-140. Available from: doi:10.9708/jksci.2020.25.04.133
Shin, Pan-Seop "Emotional analysis system for social media using sentiment dictionary with newly-created words" Journal of The Korea Society of Computer and Information 25.4 pp.133-140 (2020) : 133.
Shin, Pan-Seop. Emotional analysis system for social media using sentiment dictionary with newly-created words. 2020; 25(4), 133-140. Available from: doi:10.9708/jksci.2020.25.04.133
Shin, Pan-Seop. "Emotional analysis system for social media using sentiment dictionary with newly-created words" Journal of The Korea Society of Computer and Information 25, no.4 (2020) : 133-140.doi: 10.9708/jksci.2020.25.04.133
Shin, Pan-Seop. Emotional analysis system for social media using sentiment dictionary with newly-created words. Journal of The Korea Society of Computer and Information, 25(4), 133-140. doi: 10.9708/jksci.2020.25.04.133
Shin, Pan-Seop. Emotional analysis system for social media using sentiment dictionary with newly-created words. Journal of The Korea Society of Computer and Information. 2020; 25(4) 133-140. doi: 10.9708/jksci.2020.25.04.133
Shin, Pan-Seop. Emotional analysis system for social media using sentiment dictionary with newly-created words. 2020; 25(4), 133-140. Available from: doi:10.9708/jksci.2020.25.04.133
Shin, Pan-Seop. "Emotional analysis system for social media using sentiment dictionary with newly-created words" Journal of The Korea Society of Computer and Information 25, no.4 (2020) : 133-140.doi: 10.9708/jksci.2020.25.04.133
