• 여성건강간호학회지
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• 제21권2호
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• pp.128-138
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• 2015

Purpose: This cross-sectional study was designed to identify anger-expression types of adolescent women and investigate the relationship between the identified anger-expression types and their problem behaviors and suicide probability. Methods: The participants were 942 students at two female high school located in Gwangju. The data were analyzed using descriptive statistics, cluster analysis, t-test, ANOVA, and $Scheff{\acute{e}}$ multiple comparison test. Results: Cluster analysis revealed 4 distinct anger expression types; Anger-out, Low anger expression, Anger-control, and Anger-in/out types. Female adolescent women had a higher level of trait anger or who frequently used the anger-in/out type reported internalized-externalized problem behaviors and suicide probability more frequently compared to those who frequently used the other three types of anger expression. Conclusion: Female adolescent women who had the low anger expression type and anger control type managed anger most effectively. The findings suggest the necessity of a development of the program for lowering the trait anger level and controlling the unfavorable anger expression types such as the anger-in/out.

• 한국정보과학회 언어공학연구회:학술대회논문집(한글 및 한국어 정보처리)
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• 한국정보과학회언어공학연구회 2022년도 제34회 한글 및 한국어 정보처리 학술대회
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• pp.238-244
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• 2022

감정 분석은 텍스트에 표현된 인간의 감정을 인식하여 다양한 감정 유형으로 분류하는 것이다. 섬세한 인간의 감정을 보다 정확히 분류하기 위해서는 감정 유형의 분류가 무엇보다 중요하다. 본 연구에서는 사전 학습 언어 모델을 활용하여 우리말샘의 감정 어휘와 용례를 바탕으로 기쁨, 슬픔, 공포, 분노, 혐오, 놀람, 흥미, 지루함, 통증의 감정 유형으로 분류된 감정 말뭉치를 구축하였다. 감정 말뭉치를 구축한 후 성능 평가를 위해 대표적인 트랜스포머 기반 사전 학습 모델 중 RoBERTa, MultiDistilBert, MultiBert, KcBert, KcELECTRA. KoELECTRA를 활용하여 보다 넓은 범위에서 객관적으로 모델 간의 성능을 평가하고 각 감정 유형별 정확도를 바탕으로 감정 유형의 특성을 알아보았다. 그 결과 각 모델의 학습 구조가 다중 분류 말뭉치에 어떤 영향을 주는지 구체적으로 파악할 수 있었으며, ELECTRA가 상대적으로 우수한 성능을 보여주고 있음을 확인하였다. 또한 감정 유형별 성능을 비교를 통해 다양한 감정 유형 중 기쁨, 슬픔, 공포에 대한 성능이 우수하다는 것을 알 수 있었다.

• 한국콘텐츠학회논문지
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• 제21권5호
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• pp.105-117
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• 2021

본 연구는 시나 웨이보(Sina Weibo)에 게재된 '산시성 린펀시 반점 붕괴 사건'이라는 인기뉴스(hot news)에 대한 댓글에 나타난 감정표현에 영향을 미치는 요인들을 살펴보았다. 연구결과, 첫째, 성별에 따라 감정표현에 차이가 나타났다. 여성은 남성보다 더 강한 분노, 실망, 슬픔, 비난 감정을 표현하였다. 둘째, 동부지역 이용자들의 감정표현 강도가 중부지역과 서부지역에 비하여 유의하게 높았다. 셋째, 이용자가 댓글에 참여하고 감정표현을 게시한 블로그의 총수량인 웨이보 수가 많을수록 감정표현이 더욱 강하게 나타났다. 넷째, 미인증 이용자는 인증된 이용자보다 실망, 슬픔의 감정표현이 더욱 강하였다. 본 연구는 중국의 온라인 여론형성 과정에서 감정표현의 영향 요인을 살펴봄으로써 서양의 트위터나 페이스북과 같은 소셜네트워크와 비교할 수 있다는 점에서 의의가 있으며, 온라인 뉴스분석에서 빅데이터 분석방법을 사용했다는 점에서도 의의가 있다.

• 대한간호학회지
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• 제39권4호
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• pp.602-612
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• 2009

Purpose: The purpose of this study was to identify type of anger expression and mental health in middle aged women. Methods: From August to October 2005, survey data were collected by using the State Trait Anger Expression Inventory and Symptom Check List-90-Revision (SCL). Participants (1,442) were classified into four types of anger expression by K-mean cluster analysis. For collecting interview data for content analysis, 18 participants (4-5 participants from each type of anger expression) were recruited. The interview data were collected between March and September 2006. Results: The average score of the state anger of middle-aged women was 11.95, and that of the trait anger was 18.75. The average anger expression scores were 12.72 for Anger-In, 13.45 for Anger-Out, and 18.51 for Anger-Control. The average SCL scores were 45.03 for somatization, 42.23 for obsessive-compulsiveness, 42.44 for interpersonal sensitivity, 42.45 for depression, 42.40 for anxiety, 42.62 for hostility, 44.44 for phobic anxiety, 43.65 for paranoid ideation, and 43.08 for psychoticism. The anger expression types identified in this study were 1) anger-out in secret, 2) anger-control with a patience, 3) anger-out with suppression, and 4) low anger expression type. The psychosomatic symptom scores were the highest in type III (anger-out with suppression), and the lowest in type IV (low anger expression type). Conclusion: This study can be helpful in assisting middle aged women to control their anger effectively and may contribute to the improvement of their mental health.

• 한국지역사회생활과학회지
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• 제20권4호
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• pp.539-547
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• 2009

The purpose of this study is to investigate the relationship between the Enneagram personality types and the anger expression styles, and to see how the relationship depends on the gender. The subjects, selected by the convenience sampling method, are 315 college students. The instrument is the Korean Enneagram Personality Types(Yoon 1999), which categorizes the personal types into the gut-center, the heart-center and the head-center. On the other hand, the anger expression styles, which is the anger-control as a functional role, and the anger-out and the anger-in as a dysfunctional role, is measured by the Korean version of STAXI(Chon et al 1998). The major findings of the study are as follows. First, comparing the personality types of students, the ratio of the students of the gut-center, that of the head-center and that of the heart-center types are in descending order. Second, It is found that students rely on the anger-out more than the other two expression styles. There also exist the gender differences in terms of the level of the anger expression: female students tend to express the anger-out and the anger-control significantly more than male students. Third, the relationship between the Enneagram personality types and the anger expression styles of students are statistically significant such that students of the gut-center style express the anger-out more severely than the head-center and the heart-center. Therefore, the findings from the study may become the basis on which the education program is designed for the sake of the psychological adjustment of college students, especially taking into account the gender differences.