Emotional analysis system for social media using sentiment dictionary with newly-created words

Shin， Pan-Seop

doi:10.9708/jksci.2020.25.04.133

KJC Korea
Journal Central

Journal of The Korea Society of Computer and Information 2021 KCI Impact Factor : 0.62

Korean | English

pISSN : 1598-849X / eISSN : 2383-9945

http://journal.kci.go.kr/jksci

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Emotional analysis system for social media using sentiment dictionary with newly-created words

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2020, 25(4), pp.133-140
DOI : 10.9708/jksci.2020.25.04.133

Publisher : The Korean Society Of Computer And Information
Research Area : Computer Science

Received : September 24, 2019
Accepted : April 5, 2020
Published : April 30, 2020

Shin， Pan-Seop ¹

¹대진대학교

ABSTRACT
열림/닫힘 버튼

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.
KEYWORDS
열림/닫힘 버튼

Sentiment dictionary, Emotion model, Emotion analysis, Opinion mining, Newly-created words

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* 2021년 이후 발행 논문의 참고문헌은 현재 구축 중입니다.

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