Korea Business Review

Korea Business Review

Edited by: Hyoung-Goo Kang Print ISSN: 2951-3596 Online ISSN: 2951-360X © THE KOREAN ACADEMIC SOCIETY OF BUSINESS ADMINISTRATION. Frequency: Quarterly (four times per year): February 28, May 31, August 31, and November 30
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Latest Issue Vol. 60, No. 5 2025

Article Info

Emotional Analysis of Self - Expressive Writing Based on Large Language Model(LLM)

LEE, SEUL KI

한국성서대학교

Korea Business Review 59Vol. 4No. pp.233-272 (2024)

DOI: 10.20880/kler.2024.59.4.233

Abstract

This study aims to perform an emotional analysis of self-expressive writing by student authors using large language models. We collected two pieces of writing for each of the most- and least-preferred emotion words selected by 169 university students from Russell’s emotion-term list for a total of 338 texts. Using the most accurate method—ChatGPT with an emotion dictionary as a prompt—we compared the frequencies of posi- tive and negative words used. For the preferred emotions, we examined negative word characteristics and explored the potential of positive psy- chological therapy. For the least-preferred emotions, we confirmed that the distribution patterns of emotion words varied according to the emo- tion type.

Keywords

감정분석대형언어모델감정 사전자기 표현적 글긍정 어휘부정 어휘챗지피티

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