Korean Semantics 2023 KCI Impact Factor : 1.11
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pISSN : 1226-7198 / eISSN : 2734-0171
- https://journal.kci.go.kr/semantics
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The construction of digital ontology for Korean emotions
- Korean Semantics
- 2020, 68(), pp.131-162
- DOI : 10.19033/sks.2020.6.68.131
- Publisher : The Society Of Korean Semantics
- Research Area : Humanities > Korean Language and Literature
- Received : April 30, 2020
- Accepted : June 17, 2020
- Published : June 30, 2020
Yi Yumi 1, Park Ji Young 2, Ba-Ro Kim 2
1중앙대학교
2중앙대학교 인문콘텐츠연구소
Accredited
ABSTRACT
The purpose of this study is to establish basic emotions and to understand the categories and characteristics of emotional words in order to construction a Korean emotion ontology. As artificial intelligence technology has developed, many studies have been conducted to understand human emotions using artificial intelligence technology. It was used to understand the consumer’s intentions through exploring emotions in movie reviews and product reviews. However, most of prior research has focused on two types of emotions (i.e., positive and negative emotions) and the roles of discrete emotions have yet been explored. Constructing an emotional ontology is one of the first steps to investigate discrete emotions using artificial intelligence technology. In this study, data for developing a discrete emotion ontology were collected. First, 24 basic emotions were set, and then emotions were tagged for all words in the Korean dictionary “Urimalsaem”. The set of this data is meaningful as basic data for Korean emotion recognition. In addition, it can be used as basic data for consideration of the emotional vocabulary of Korean.
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[journal]
고민수
/ 2010
/
Grading System of Movie Review through the Use of An Appraisal Dictionary and Computation of Semantic Segments
/ 인지과학
/ 한국인지과학회
21(4)
: 669~696
[confproc]
김문형
/ 2013
/ KOSAC(Korean Sentiment Analysis Corpus): 한국어 감정 및 의견 분석 코퍼스
/ 한국정보과학회 한국컴퓨터종합학술대회 논문집
: 650~652
[journal]
김민희
/ 2004
/
Emotional experience and emotion regulation in old age.
/ 한국심리학회지:일반
/ 한국심리학회
23(2)
: 1~21
[journal]
김완석
/ 2015
/
Self-Compassion, Other-Compassion, Mindfulness, and Quality of Life: Comparing Alternative Causal Models
/ 한국심리학회지: 건강
/ 한국건강심리학회
20(3)
: 605~621
[journal]
김은영
/ 2005
/
A Study on the Range and the Meaning Characteristics of Emotion Verbs
/ 한국어 의미학
/ 한국어의미학회
16
: 99~124
[journal]
박인조
/ 2005
/
Making a List of Korean Emotion Terms and Exploring Dimensions Underlying Them
/ 한국심리학회지: 사회및성격
/ 한국사회및성격심리학회
19(1)
: 109~129
[journal]
안신호
/ 1993
/ 정서의구조
/ 한국심리학회지사회및성격
/ 한국심리학회
7(1)
: 107~123
[confproc]
안정국
/ 2015
/ 집단지성을 이용한한글 감성어사전 구축
/ 한국경영정보학회학술대회 논문집
/ 한국경영정보학회
: 527~532
[journal]
양선진
/ 2016
/
T’oegye and Gobong: the contemporary interpretations of SaDan-ChilJeong (四端七情)
/ 동양철학연구
/ 동양철학연구회
(87)
: 7~36
[journal]
윤애선
/ 2010
/
Component Analysis for Constructing an Emotion Ontology
/ 인지과학
/ 한국인지과학회
21(1)
: 157~175
[journal]
이수상
/ 2016
/
A Study on the Analysis of Semantic Relation and Category of the Korean Emotion Words
/ 한국도서관·정보학회지
/ 한국도서관·정보학회
47(2)
: 51~70
[journal]
이숙진
/ 2018
/
A study on selection and categorization of Emotion Adjectives for Korean Language Education
/ 한국어문교육
/ 한국어문교육연구소
(24)
: 479~511
[journal]
이원경
/ 2006
/
감정동사의 분류와 특성분석
/ 담화와 인지
/ 담화·인지언어학회
13(1)
: 163~182
[journal]
이재훈
/ 1998
/ 인지주의적 감정이론에 관한 연구-Lyons의 감정이론을 중심으로-
/ 초등교육연구
/ 전주교육대학교 초등교육연구회
9
: 527~557
[journal]
이태성
/ 2017
/
A Clarification of the Emotion Concept in the Social Studies Education - Focusing on the ‘Affect Theory’ -
/ 사회과교육연구
/ 한국사회교과교육학회
24(2)
: 23~38
[journal]
이학식
/ 2002
/
Measuring the Consumption-Related Emotion Construct
/ 마케팅연구
/ 한국마케팅학회
17(3)
: 55~91
[journal]
임아영
/ 2013
/
Anticipated Emotions for Films and Spectators’ Behaviors
/ 소비문화연구
/ 한국소비문화학회
16(3)
: 59~79
[journal]
정원재
/ 2015
/
Yi Hwang’s Understanding of the Seven Emotions – from ‘Liyun’ to Zhongyong
/ 퇴계학보
/ 퇴계학연구원
(137)
: 5~69
[journal]
조경순
/ 2012
/
The Study about Conceptual Structures of Emotion Verbs in Korean
/ 한국어학
/ 한국어학회
56
: 245~273
[journal]
최석재
/ 2008
/
The Type and Character of Feeling Verb
/ 어문논집
/ 민족어문학회
(58)
: 127~159
[journal]
최해연
/ 2016
/
The structure and measurement of Koreans’ emotion
/ 한국심리학회지: 사회및성격
/ 한국사회및성격심리학회
30(2)
: 89~114
[journal]
홍종선
/ 2009
/
Establishing the category of emotion verb and classifying emotion verbs
/ 한국어학
/ 한국어학회
45
: 387~420
[journal]
Baumeister, R. F.
/ 2001
/ Bad is stronger than good
/ Review of General Psychology
5(4)
: 323~370
[journal]
Chafale, D.
/ 2014
/ Review on developing corpora for sentiment analysis using plutchik’s wheel of emotions with fuzzy logic
/ International Journal of Computer Sciences and Engineering (IJCSE)
2(10)
: 14~18
[journal]
Chatterjee, A.
/ 2019
/ Understanding emotions in text using deep learning and big data
/ Computers in Human Behavior
93
: 309~317
[journal]
Chin, A.
/ 2017
/ Boredom in the USA : Experience sampling and boredom in everyday life
/ Emotion
17(2)
: 359~368
[journal]
Ekman, P.
/ 1992
/ An argument for basic emotions
/ Cognition & Emotion
6(3-4)
: 169~200
[journal]
Grühn, D.
/ 2008
/ Empathy across the adult lifespan: Longitudinal and experience- sampling findings
/ Emotion
8(6)
: 753~765
[confproc]
Hutto, C. J.
/ 2014
/ Vader: A parsimonious rule-based model for sentiment analysis of social media text
/ Eighth international AAAI conference on weblogs and social media
[journal]
Izard, C. E.
/ 1992
/ Basic emotions, relations among emotions, and emotion-cognition relations
/ Psychological Review
99(3)
: 561~565
[journal]
Kratzwald, B.
/ 2018
/ Deep learning for affective computing : Text-based emotion recognition indecision support
/ Decision Support Systems
115
: 24~35
[journal]
Lazarus, R. S.
/ 1993
/ From Psychological Stress to the Emotions : A History of Changing Outlooks
/ Annual Review of Psychology
44(1)
: 1~21
[journal]
Lim, D.
/ 2016
/ Suffering and compassion : The links among adverse life experiences, empathy, compassion, and prosocial behavior
/ Emotion
16(2)
: 175~182
[book]
Mohammad, S. M.
/ 2013
/ Nrc emotion lexicon
/ National Research Council
[other]
Nielsen, F. Å.
/ 2011
/ A new ANEW: Evaluation of a word list for sentiment analysis in microblogs
/ arXiv preprint arXiv:1103.2903
[journal]
Plutchik, R.
/ 2001
/ The nature of emotions: Human emotions have deep evolutionary roots, a fact that may explain their complexity and provide tools for clinical practice
/ American Scientist
89(4)
: 344~350
[journal]
Roseman, I. J.
/ 1990
/ Appraisals of emotion-eliciting events: Testing a theory of discrete emotions
/ Journal of Personality and Social Psychology
59(5)
: 899~915
[journal]
Russell, J. A.
/ 2003
/ Core affect and the psychological construction of emotion
/ Psychological Review
110(1)
: 145~172
[book]
Scherer, K. R.
/ 1999
/ Handbook of cognition and emotion
/ John Wiley & Sons
: 637~663
[journal]
Mohammad, S. M.
/ 2013
/ Crowdsourcing a word-emotion association lexicon
/ Computational Intelligence
29(3)
: 436~465
[journal]
Shaver, P. R.
/ 1996
/ Is love a “basic” emotion?
/ Personal Relationships
3(1)
: 81~96
[journal]
Sheppard, M.
/ 2015
/ Conceptualizing emotions in social studies education
/ Theory & Research in Social Education
43(2)
: 147~178
[journal]
Spencer-Rodgers, J.
/ 2010
/ Dialecticism and the co-occurrence of positive and negative emotions across cultures
/ Journal of Cross-Cultural Psychology
41(1)
: 109~115
[journal]
Yadollahi, A.
/ 2017
/ Current state of text sentiment analysis from opinion to emotion mining
/ ACM Computing Surveys (CSUR)
50(2)
: 1~33
[confproc]
Yoon, S.
/ 2018
/ Multimodal speech emotion recognition using audio and text
/ 2018 IEEE Spoken Language Technology Workshop (SLT)
: 112~118
[journal]
Van de Ven, N.
/ 2017
/ Envy and admiration: Emotion and motivation following upward social comparison
/ Cognition and Emotion
31(1)
: 193~200
[journal]
Wilson, T. D.
/ 2005
/ Affective forecasting: Knowing what to want
/ Current Directions in Psychological Science
14(3)
: 131~134
This paper was written with support from the National Research Foundation of Korea.