• Title/Summary/Keyword: 감정적 평가

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Developing a Korean sentiment lexicon through BPE (BPE를 활용한 한국어 감정사전 제작)

  • Park, Ho-Min;Cheon, Min-Ah;Nam-Goong, Young;Choi, Min-Seok;Yoon, Ho;Kim, Jae-Kyun;Kim, Jae-Hoon
    • Annual Conference on Human and Language Technology
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    • 2019.10a
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    • pp.510-513
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    • 2019
  • 감정분석은 텍스트에서 나타난 저자 혹은 발화자의 태도, 의견 등과 같은 주관적인 정보를 추출하는 기술이며, 여론 분석, 시장 동향 분석 등 다양한 분야에 두루 사용된다. 감정분석 방법은 사전 기반 방법, 기계학습 기반 방법 등이 있다. 본 논문은 사전 기반 감정분석에 필요한 한국어 감정사전 자동 구축 방법을 제안한다. 본 논문은 영어 감정사전으로부터 한국어 감정사전을 자동으로 구축하는 방법이며, 크게 세 단계로 구성된다. 첫 번째는 한영 병렬 말뭉치를 이용한 한영 이중언어 사전을 구축하는 단계이고, 두 번째는 한영 이중언어 사전을 통한 한영 이중언어 그래프를 생성하는 단계이며, 세 번째는 영어 단어의 감정값을 한국어 BPE의 감정값으로 전파하는 단계이다. 본 논문에서는 제안된 방법의 유효성을 보이기 위해 사전 기반 한국어 감정분석 시스템을 구축하여 평가하였으며, 그 결과 제안된 방법이 합리적인 방법임을 확인할 수 있었으며 향후 연구를 통해 개선한다면 질 좋은 한국어 감정사전을 효과적인 방법으로 구축할 수 있을 것이다.

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A Trust Evaluation Model on QoS based Services Composition for IoT Environments (IoT 환경에서 QoS 기반 서비스 조합을 위한 신뢰 평가모델)

  • Kim, Yukyong
    • Journal of Software Assessment and Valuation
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    • v.15 no.2
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    • pp.85-93
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    • 2019
  • In an open, heterogeneous environment based on machine-to-machine (M2M) interactions, service selection is a critical issue and the concept of social trust can be applied to service selection so that IoT devices can make the best choice for interaction. In this paper, we propose a method for evaluating the trust level of the service and for estimating the QoS of the composite service using a profile created based on social trust relationship in IoT environment. As the service selection is made through quantitative evaluation, it is expected that the result of a more reliable service combination can be obtained.

Effects of Emotional Labor on Customer Orientation by Service Career of Security Agents (시큐리티 요원의 근무경력에 따른 감정노동이 고객지향성에 미치는 영향)

  • Kim, Eui-Young;Lee, Jun-Woo;Cho, Sung-Jin
    • Korean Security Journal
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    • no.37
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    • pp.269-293
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    • 2013
  • Raising the level of quality of the security industry is an urgent matter. Since security service is provided through direct contact with customers, the security agents' expression of emotion directly influences the evaluation of the security company or their own earnings. So emotion control at customers demand is necessary above all things, and this research established what difference the service career makes in the influence that the security agent's emotional labor exerts on customer orientation, and the results of the analysis are summarized as follows. First, the security agent's emotional labor exerted negative effects on customer orientation. From this, the conclusion that the higher the security agent's emotional labor, the lower the customer orientation, was obtained. Second, the service career showed differences in the effects of the security agent's emotional labor on the customer orientation. In other words, the conclusion that the lower the security agent's service career, the greater effects the emotional labor exerts on the customer orientation, was obtained. In conclusion, in order to raise the level of customer service, systematic education to control the emotional labor of the security agents with low service career is necessary. Particularly, since the emotional labor of new employees is related to the service environment, the improvement of the service environment of the security agents is more important than anything else.

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Evaluating Pre-defined Kinetic Typography Effects to Convey Emotions (키네틱 타이포그래피를 통한 텍스트 기반 커뮤니케이션에서의 감정 전달 연구)

  • Lee, Joonhwan;Kim, Dongwhan;Wee, Jieun;Jang, Sooyeun;Ha, Seyong;Jun, Soojin
    • Journal of Korea Multimedia Society
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    • v.17 no.1
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    • pp.77-93
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    • 2014
  • Kinetic typography has been suggested to express emotions in computer-mediated communication (CMC) by empowering static texts with dynamic attributes, where conversations occur primarily in text-based forms. In this work, we investigate whether pre-defined kinetic typography effects are capable of delivering emotions, and further, which specific attributes of kinetic typography arouse such emotions. The results show that emotional response of users were corresponding to the emotions intended by experts, indicating that pre-defined kinetic typography is an applicable way to express emotions consistently in CMC. Also, results demonstrate some key attributes that derive certain levels of mood and energy respectively. Energy level turned out to be affected by the font size, transparency, direction of movement, amount of movement, velocity, and acceleration of the text, while mood level was influenced by the transparency, direction of movement, regularity in movement, and speed of the text.

Analysis Method for Revision and Addition of the Specification to Appraisal (감정 대상 규격서의 수정 및 추가에 대한 분석 방법)

  • Chun, Byung-Tae
    • Journal of Software Assessment and Valuation
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    • v.16 no.2
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    • pp.37-44
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    • 2020
  • As the information society develops, various cases of copyright infringement have occurred. In many disputes between companies, software similarity appraisal is dominated. This thesis is a study on the method of calculating the similarity of the standards subject to appraisal. In other words, it is a study to calculate the amount of revision and addition of the specification to be assessed. The analysis method compares the table of contents of both specifications and finds the same or similar part. The similarity weight is determined according to the degree of similarity. Weights identify and assign the degree of similarity between the expert's expertise and the specification. If it is completely newly added, the similarity weight is 1, if it is partially modified, the similarity weight is 0.4, and if it is almost the same as before, it is calculated by giving a weight of 0.05. Through this paper, it was found that the result of calculating the similarity to the specification is 21.2 pages.

Deep Learning-based Happiness Index Model Considering Social Variables and Individual Emotional Index (사회적 변수와 개개인의 감정지수를 함께 고려한 딥러닝 기반 행복 지수 모델 설계)

  • Sumin Oh;Minseo Park
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.1
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    • pp.489-493
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    • 2024
  • Happiness index is a measurement system for understanding collective happiness. As values change, studies have been proposed to add the value of behavior to the happiness index. However, there is a lack of studies analyze the relationship using individual emotions. Using a deep learning model, we predicted happiness index using social variables and individual emotional index. First, we collected social and emotional variables from January 2005 to December 2020. Second, we preprocessed the data and identified significant variables. Finally, we trained deep learning-based regression model. Our proposed model was evaluated using 5-fold cross validation. The proposed model showed 90.86% accuracy on test sets. Our model will be expected to analyze the significant factors of country-specific happiness index.

Development of a Tailored Mobile Application to Improve Elementary School Students' Competencies of Emotional Awareness and Empathy (초등학생들의 감정인식과 공감능력 향상을 위한 맞춤형 모바일 앱 개발)

  • Kim, EunJung;Lee, Yuna;Lee, Sangsoo
    • The Journal of Korean Association of Computer Education
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    • v.17 no.3
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    • pp.85-99
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    • 2014
  • Recently youth problems such as school violence and bullying are becoming increasingly lower age. In order to overcome this situation highlights the importance of education and the emotions, which in analyzing the existing mobile app, only the most fun-oriented approach has been made and the information presented. It focuses on the emotion awareness and empathy abilities of learners diagnosis, training, application can be made at the level of educational mobile app prototype was developed. First, self-understanding, self-expression, others-understanding, and empathy of emotional competency derived from review of emotional awareness skills training programs. Second, by analyzing the existing emotion recognition app macro-principles and micro-strategy of mobile app's designs were derived. Third, accordi was conducted on prototype of storyboard and app the completed prototype was completed. The proposed app is a fun and learning by doing, also Depending on students' level of performance can be customized. The proposed mobile app is efficient and effective, engaging learning space as a systematic training in the diagnosis and the emotions through the elementary students will be able to improve emotional awaeness competency.

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A Study on the Relationship between Weighted Value and Qualitative Standard in Substantial Similarity (실질적 유사성 판단을 위한 가중치 활용과 질적 분석의 관계)

  • Kim, Si-Yeol
    • Journal of Software Assessment and Valuation
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    • v.15 no.1
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    • pp.25-35
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    • 2019
  • In Korea, the calculation of quantitative similarity is commonly used to gauge the substantial similarity of computer programs. Substantial similarity should be assessed by considering the quantity and quality of areas that show similarity, but in practice, qualitative aspects are reflected by multiplying the weighted value in the calculation of quantitative similarity. However, such a practical method cannot be deemed adequate, considering the fundamental characteristic of the judgment on substantial similarity, which holds that the quantitative and qualitative aspects of similar areas should be considered on an equal footing. Thus, this study pointed out the issue regarding the use of weighted value and sought appropriate ways to take into account qualitative aspects when assessing the substantial similarity of computer programs.

An Emotional Gesture-based Dialogue Management System using Behavior Network (행동 네트워크를 이용한 감정형 제스처 기반 대화 관리 시스템)

  • Yoon, Jong-Won;Lim, Sung-Soo;Cho, Sung-Bae
    • Journal of KIISE:Software and Applications
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    • v.37 no.10
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    • pp.779-787
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    • 2010
  • Since robots have been used widely recently, research about human-robot communication is in process actively. Typically, natural language processing or gesture generation have been applied to human-robot interaction. However, existing methods for communication among robot and human have their limits in performing only static communication, thus the method for more natural and realistic interaction is required. In this paper, an emotional gesture based dialogue management system is proposed for sophisticated human-robot communication. The proposed system performs communication by using the Bayesian networks and pattern matching, and generates emotional gestures of robots in real-time while the user communicates with the robot. Through emotional gestures robot can communicate the user more efficiently also realistically. We used behavior networks as the gesture generation method to deal with dialogue situations which change dynamically. Finally, we designed a usability test to confirm the usefulness of the proposed system by comparing with the existing dialogue system.

The Influence of VR Color Image for Color Psychotherapy (색채심리치료를 위한 VR색채영상의 영향)

  • Hong, Gee Yun;Lee, OnSeok
    • The Journal of the Korea Contents Association
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    • v.17 no.10
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    • pp.376-384
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    • 2017
  • Color therapy is a diagnostic method for treating psychological problems using unique vibration and frequency color. The color has strong subjective psychology, it can give psychological stabilization effect as a spring as a favorite color and stability become personally personal. Also, to give various influences on emotion, we can obtain information via brain wave to evaluate these emotions. In this research, before viewing two kinds of VR color images of red and blue, responding to the stress questionnaire(BEPSI-K) via a mobile terminal. At this time, we analyzed the real-time we used four emotional data measurable via brain waves and grasped the user's emotional state. In addition, the stress questionnaire was used to quantify the emotion degree, and comparative analysis was made on how the color image affects the change of emotions with 3D virtual reality.