• The Journal of the Korea Contents Association
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• v.20 no.8
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• pp.1-9
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• 2020

As the aging problem of the regional industry ecosystem has gradually become serious, research to measure and regenerate the regional industry ecosystem decline has been actively conducted. However, little research has been done on regional industry ecosystem crises. Crisis emerges radically over a short period of time, and it is often impossible to respond by post-response, so you must respond before the crisis occurs. In other words, it is more necessary and required when looking at the crisis early and taking a proactive response from a long-term perspective. Therefore, it is necessary to develop a predictive model that can proactively recognize and respond to the crisis in the regional industry ecosystem. Therefore, this study checked the possibility of predicting the risk of regional industry and market according to the emotional score of the news by using large-scale news data. News sentiment analysis was performed using the Google sentiment analysis API, and this was organized by month to check the correlation between actual events.

• Information Systems Review
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• v.17 no.1
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• pp.49-64
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• 2015

Customer reviews which include subjective opinions for the product or service in online store have been generated rapidly and their influence on customers has become immense due to the widespread usage of SNS. In addition, a number of studies have focused on opinion mining to analyze the positive and negative opinions and get a better solution for customer support and sales. It is very important to select the key terms which reflected the customers' sentiment on the reviews for opinion mining. We proposed a document-level terms-based sentiment classification model by select in the optimal terms with part of speech tag. SVMs (Support vector machines) are utilized to build a predictor for opinion mining and we used the combination of POS tag and four terms extraction methods for the feature selection of SVM. To validate the proposed opinion mining model, we applied it to the customer reviews on Amazon. We eliminated the unmeaning terms known as the stopwords and extracted the useful terms by using part of speech tagging approach after crawling 80,000 reviews. The extracted terms gained from document frequency, TF-IDF, information gain, chi-squared statistic were ranked and 20 ranked terms were used to the feature of SVM model. Our experimental results show that the performance of SVM model with four POS tags is superior to the benchmarked model, which are built by extracting only adjective terms. In addition, the SVM model based on Chi-squared statistic for opinion mining shows the most superior performance among SVM models with 4 different kinds of terms extraction method. Our proposed opinion mining model is expected to improve customer service and gain competitive advantage in online store.

• Science of Emotion and Sensibility
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• v.12 no.1
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• pp.109-120
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• 2009

This study was carried out in order to investigate color sensation and sensibility for yellowish natural dye fabrics and reddish ones and to establish prediction models for color sensibility factors of them by color sensation and the related physical measurements focusing on 40s middle-aged people. Eight fabric stimuli which were dyed with a variety of yellowish or reddish natural dyes was subjectively evaluated in terms of color sensation and sensibility by 40s aged participants. As results, three color sensibility factors including 'Active', 'Characteristic', and 'Relax' were extracted and they were examined in respect of their relationships with color sensation and physical color properties. Color sensibility factor 'Active', the dominant factor for the naturally dyed fabrics was explained by $L^*$ and sensation 'Deep' in its predictive model and a yellowish fabric dyed with 300% solution of armur cork unmordanted was perceived the strongest in the factor. Factor 'Characteristic' was predicted by both $a^*$ and sensation 'Light' and reddish natural dye fabrics tended to be felt more strongly for it. Color sensation 'Strong' was the only predictor for factor 'Relax' in that naturally dyed fabrics with lower values for the sensation seemed to show higher 'Relax' factor and a reddish fabric dyed with safflower 125% was the highest for the color sensibility factor. These results could be utilized to design color-sensible natural dye fabrics for middle-aged people.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2003.11a
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• pp.1351-1355
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• 2003

최근 의류용 감성소재가 다양해지면서 소재의 특성에 따른 최적 설계가 data-base에서 빨리 공급 될 수 있다면 시행착오에 따른 시간과 경비가 적게 소비되면서 소비자의 요구에 빨리 대응할 수 있는 소위 Q.R.도 가능하게 될 것이다. 이러한 감성 의류용 직물의 data base화를 위해서는 rapier, water-jet, air-jet 등 직기에 따른 소재의 설계분포 그리고 직기의 종류에 따라서 직물 설계 data의 분포가 어떠한지를 우선 조사하여야 한다. 본 연구에서는 국내 3개 업체의 실제 현장에서 생산되고 있는 PET 소재의 감성의류용 직물소재의 설계 Data를 직기별로 구분하고 직물 설계 조건들을 조사ㆍ분석하여 경사, 위사 번수별 조직계수를 계산하여 이들 data를 data-base화하고 도시하였다. 또한 이들 분석된 그래프에서 직기 종류별, 직물 조직별, 소재 item별 조직계수와 직물밀도를 예측할 수 있는 방법을 제시함과 더불어 조직에 따른 이들 직물의 설계조건을 제안함으로서 실제 현장에서 쉽게 사용할 수 있는 연구자료를 업체에 제공하고자 한다.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 1998.11a
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• pp.105-110
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• 1998

본 연구에서는 실내 쾌적성을 향상시키는데 적합한 에어컨의 기류형태를 파악하고자 세 가지 유형의 기류(감성기류, 풍량변화 기류, 풍향변화 기류)애 대한 감각반응, 감성반응, 정서반응 둥을 측정, 비교하였다. 기류감을 나타내는 13개의 형용사 쌍으로 구성된 의미미분척도에 대한 실험참가자의 평정을 변량분석한 결과, 감성기류가 다른 종류의 바람보다 선호되는 것으로 나타났으며, 간접적이고 신선하며 편안한 바람으로 평가되었다. 반면 풍량변화 기류는 가장 선호되지 않았으며, 직접적이고 거칠며 자극적인 바람으로 평가되었다. 정서반응에 대한 감각반응의 예측정도를 알아보기 위해 회귀분석을 실시한 결과, 변화가 없는 규칙적인 바람으로 평가되는 바람과 간접적인 바람을 쾌적하다고 느끼고 선호하는 것으로 나타났다. 감성반응에 영향을 주는 감각반응으로는 직접감이 단연 중요한 요인으로, 바람이 간접적으로 불어 온다고 판단될수록 이완되고 편안하다고 느끼며, 자연스럽고 부드러운 바람이라고 느끼는 것으로 나타났다

• Proceedings of the Korea Contents Association Conference
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• 2016.05a
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• pp.31-32
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• 2016

최근 음악 서비스 분야에는 감성추천 서비스가 시행되고 있다. 추천 시스템에 따라 내용 기반 추천 방식과 협업 기반 추천 방식으로 크게 구분할 수 있으며 대부분의 음악 서비스 분야에서는 많은 사용자들로부터 얻은 기호정보에 따라 사용자들의 관심사들을 자동적으로 예측하는 방법인 협업 기반 추천 방식으로 서비스를 운영하고 있다. 이에 따라 협업 기반 추천 방식을 사용하는 대표 음원 사이트 멜론과 벅스에서 음악 추천 서비스의 추천된 음악이 실제 감성과 맞는지 기쁨과 슬픔으로 분류하여 Russell의 감성 모형을 기준으로 가사의 5차 분류를 통해 곡의 감성을 분석하여 카테고리의 추천음악과 가사의 상관관계를 비교 연구하였다. 그 결과, 각 카테고리의 감성추천 음악과 실제 음악의 감성이 일치하는 부분도 있지만, 그 외 다양한 감정들이 도출되었다.

• Science of Emotion and Sensibility
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• v.4 no.2
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• pp.39-45
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• 2001

This study was conducted to identify the structure of the sensibility and autonomic nervous responses to odor by ages. 72 participants, 24 each in their teens, twenties, and thirties were given odor stimuli, cederwood, grapefruit, teebaum, peppermint, rose. During the presentation of stimuli, participant were measured blood flow, skin temperature, skin conductance, and ECG and subjective emotion to each odor were evaluated, Five factors, aesthetic, intensity, naturality, uniqueness, and romantism were identified but there were no differences by ages. Emotional factors that predict the preference to certain odors turned out partly different by ages. However, odors that made participants feel sick created more autonomic nervous response than odors that made them feel good.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.7
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• pp.162-174
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• 2017

This study is descriptive research conducted to determine the levels of depression, emotional intelligence, and psychological well-being of nurses employed in small-and medium-sized hospitals, as well as to identify the correlations of these variables, predict factors influencing nurses' psychological well-being, and finally, test the mediating effects of emotional intelligence in the relationship between depression and psychological well-being. The subjects of the study included 336 nurses employed in small-and medium-sized hospitals located in the Daegu-Gyeongbuk region. Using a structured questionnaire, a sample was taken from December 17, 2016 to January 8, 2017. The results that the nurses showed an average level of depression with a mean score of 1.55 points, while their mean scores of emotional intelligence and psychological well-being were above average (3.05 and 3.51 scores, respectively). Depression exhibited negative (-) correlations with emotional intelligence and psychological well-being, whereas emotional intelligence had a positive (+) correlation with psychological well-being. The significant predictors of psychological well-being were found to include sleep hours (${\beta}=0.111$), working department (${\beta}=0.236$), and depression (${\beta}=-0.245$). Moreover, evaluation of the mediating effects of emotional intelligence revealed significant relationships between depression and regulation of emotion (${\beta}=0.527$) and between depression and emotional utilization (${\beta}=0.167$). In conclusion, the work environment and depression were predicted to be major factors influencing psychological well-being, while emotional intelligence was found to be a partially mediating factor. Overall, these results demonstrate that easing depression and improving emotional intelligence can be very positive countermeasures in revitalizing the hospital organization, as well as in ensuring the happiness of individual nurses. Therefore, interventions aimed at improving work environments and easing depression are required to improve nurses' psychological well-being.

• Science of Emotion and Sensibility
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• v.2 no.1
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• pp.35-42
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• 1999

본 연구에서는 실내 쾌적성을 향상시키는데 적합한 에어컨의 기류형태를 파악하고자 세 가지 유형의 기류(감성기류, 풍향변화 기류, 풍향변화 기류)에 대한 감각반응, 정서반응 등을 측정, 비교하였다. 기류감을 나타내는 13개의 형용사 쌍으로 구성된 의미미분 척도에 대한 실험참가자의 평정을 변량분석한 결과, 감성기류가 다른 종류의 바람보다 선호되는 것으로 나타났으며, 간접적이고 신선하며 편안한 바람으로 평가되었다. 반면 풍량변화 기류는 가장 선호되지 않았으며, 직접적이고 거칠며 자극적인 바람으로 평가되었다. 정서반응에 대한 감각반응의 예측정도를 알아보기 위해 희귀분석을 실시한 결과, 변화가 없는 규칙적인 바람으로 평가되는 바람과 간접적인 바람을 쾌적 하다고 느끼고 선호하는 것으로 나타났다. 감성반응에 영향을 주는 감각반응으로는 직접감이 단연 중요한 요인으로, 바람이 간접적으로 불어 온다고 판단될수록 이완되고 편안하다고 느끼며, 자연스럽고 부드러운 바람이라고 느끼는 것으로 나타났다.

• Journal of Digital Convergence
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• v.15 no.7
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• pp.307-317
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• 2017

This study was to identify the factors influencing college life adjustment and sub-scales of nursing students. Self- report questionnaire surveys were conducted toward 282 freshman nursing students to measure college life adjustment, psychological well-being, emotional intelligence, and self-efficacy. Data were collected from September 22 through October 7, 2016. This study was analyzed using SPSS Win 18.0. The average mean of college life adjustment was 3.36 and academic activity was the highest, followed by individual psychology, social experience, Interpersonal relationship, and career preparation. A correlation of psychological well-being, emotional intelligence, self-efficacy, college life adjustment and sub-scales showed positive correlation. The strongest predictor of college life adjustment was a self-efficacy. And sub-scales, the strongest predictor of academic activity was academic achievement, career preparation was self-efficacy, individual psychology and social experience was emotional intelligence, and Interpersonal relationship was psychological well-being. An intervention program which includes these significant variables of subjects is essential to improve of college life adjustment.