• The Journal of Information Systems
• /
• v.29 no.3
• /
• pp.237-251
• /
• 2020

Purpose The research was studied the hierarchical Hangul emotion index by organizing all the emotions which SNS users are thinking. As a preliminary study by the researcher, the English-based Plutchick (1980)'s emotional standard was reinterpreted in Korean, and a hashtag with implicit meaning on SNS was studied. To build a multidimensional emotion dictionary and classify three-dimensional emotions, an emotion seed was selected for the composition of seven emotion sets, and an emotion word dictionary was constructed by collecting SNS hashtags derived from each emotion seed. We also want to explore the priority of each Hangul emotion index. Design/methodology/approach In the process of transforming the matrix through the vector process of words constituting the sentence, weights were extracted using TF-IDF (Term Frequency Inverse Document Frequency), and the dimension reduction technique of the matrix in the emotion set was NMF (Nonnegative Matrix Factorization) algorithm. The emotional dimension was solved by using the characteristic value of the emotional word. The cosine distance algorithm was used to measure the distance between vectors by measuring the similarity of emotion words in the emotion set. Findings Customer needs analysis is a force to read changes in emotions, and Korean emotion word research is the customer's needs. In addition, the ranking of the emotion words within the emotion set will be a special criterion for reading the depth of the emotion. The sentiment index study of this research believes that by providing companies with effective information for emotional marketing, new business opportunities will be expanded and valued. In addition, if the emotion dictionary is eventually connected to the emotional DNA of the product, it will be possible to define the "emotional DNA", which is a set of emotions that the product should have.

• Journal of Korean Library and Information Science Society
• /
• v.47 no.2
• /
• pp.51-70
• /
• 2016

The purpose of this study is to analyze the semantic relation network and valence-arousal dimension through the words that describe emotions in Korean language. The results of this analysis are summarized as follows. Firstly, each emotion word was semantically linked in the network. This particular feature hinders differentiating various types of "emotion words" in accordance with similarity in meaning. Instead, central emotion words playing a central role in a network was identified. Secondly, many words are classified as two categories at the valence and arousal level: (1) negative of valence and high of arousal, (2) negative of valence and middle of arousal. This aspects of Korean emotional words would be useful to analyze emotions in various text data of books and document information.

• Science of Emotion and Sensibility
• /
• v.16 no.2
• /
• pp.149-156
• /
• 2013

In this study, the Model of Emotion Evaluation, an emotional analysis actively applied in environmental assessment, was divided into two parts, the abbreviated model and the inferential model, through pilot study and experiment. In addition, an analysis was conducted through the experiment on the attributes of the evaluation vocabularies of two additional types of representative models, the EPA Model and PAD Model, and the results show a huge difference in the development approach and lexical constitution of the two models. It was also identified through factor analysis that the vocabularies were abbreviated according to the respective models. Similarity relationships were analyzed using multidimensional scaling and the results show that mutual relationship was established to some degree. Based on this, we can conclude that, rather than a biased use of the Model of Emotion Evaluation in emotion evaluation, a more objective image analysis is possible by analyzing the characteristics of the model before applying it. In this study, the evaluation target was confined only to the environmental assessment of streetscape and continuous research on the Model of Emotion Evaluation that allows for the comparison of evaluation models in various areas is needed.

• The Pure and Applied Mathematics
• /
• v.24 no.4
• /
• pp.227-241
• /
• 2017

The study investigates the stock market using emotion index calculated from SMD based on investors' emotion. In the VAR anlaysis, we find that the correlation between the KOSPI200 return and emotion score sum is highest in 2- or 3- day lag. This study concludes that explanatory power of the SMD emotion index is limited in explaining the Korean stock market yet.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
• /
• 2002.11a
• /
• pp.279-282
• /
• 2002

자율신경계 반응은 인간의 각성을 측정하는 변수가 될 수 있다(황민철 외, 2001). 본 연구에서는 자율신경계 반응만으로 인간의 2차원 감성 분류를 할 수 있는지를 살펴보았다. 5명의 피험자에게 대중가요나 효과음 등과 같은 다양한 청각자극을 제시하여 감성을 유발한 후, 자율신경계의 반응을 3가지 생리신호(GSR, SKT, PPG)를 통해 측정하여 반응 패턴을 분석하였다. 결과적으로, 자율신경계 반응 패턴은 각성/이완뿐만 아니라 쾌/불쾌간 감성 구분의 가능성을 확인할 수 있었다.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
• /
• 2012.05a
• /
• pp.73-74
• /
• 2012

• The Journal of the Korea Contents Association
• /
• v.15 no.3
• /
• pp.21-31
• /
• 2015

This thesis proposes the emotions acquired after listening to the music as an emotion model composed of 8 types of emotions, based on the emotion model studied previously. The 5 musical factors selected, that affect the emotion, are tempo, dynamics, amplitude change, brightness, and noise. According to the emotion model composed of 8 types of emotions, 160 songs categorized into the 8 types of emotions were selected, and the actual data was extracted and analyzed. Through the analysis of actual data, an emotion equation made of weighted value of 5 factors was derived, and an algorithm that can predict the emotion by mapping on the 2-dimensional emotion coordinate system through the emotion equation was designed. Also, a way of controlling emotion by moving the coordinates on the 2-dimensional emotion coordinate system was suggested.

• Fashion & Textile Research Journal
• /
• v.7 no.2
• /
• pp.187-195
• /
• 2005

The purposes of this study were to investigate the effects of the elements of textile design on consumer emotion and to develop the emotion model which is suitable for the textile design. The descriptive system of textile design was developed based on the previous studies. Emotion measurement scale was developed to analyze the consumer emotion for the textile design. 20 representative types of textile design were collected as stimuli set for this study, consumer emotion on each design type was examined and was analyzed through the survey. For the data analysis, principal component analysis was employed. As a result, 8 emotional factors such as 'Modern', 'Fun', 'Natural', 'Elegance', 'Classic', 'Ethnic', 'Wild' and 'Sporty' were derived from the results of the survey. Emotion measurement scale which consisted of 8 factors was developed to analyze the effects of the elements of textile design on consumer emotion and 80 representative types of textile design were collected. In addition, the emotion which consumers feel for the textile design types was investigated and each textile design was described according to the descriptive system of textile design. Statistical methods of pearson correlation and multiple regression were employed to analyze the relationship between the elements of textile design and consumer emotion. The results of this study revealed that 15 design elements which affected consumer emotion were the size of motives, the shape of motives, the degree of tone contrast among motives etc. This study findings can provide specific design methods for the effectiveness of consumer emotion.

• Journal of the Korean School Mathematics Society
• /
• v.23 no.3
• /
• pp.351-375
• /
• 2020

The purpose of this study is to identify the trends of emotion-related mathematics education research conducted in Korea so far, and compare them with those of international studies, and explore the desirable directions for future emotion-related mathematics education research. Emotion-related domestic research was collected from domestic academic journals, analyzed, and then it was used as data for international comparative study. The findings of the Eligio(2017) were used as counterpart research data. This study compares the number of publications, research subjects and research topics of domestic and international studies on emotion. Findings indicate that it has generally shown similar patterns to international research although it was difficult to determine the trends due to the lack of the number of domestic studies. The future directions of domestic mathematics education research on emotion were proposed as follows. Since it is difficult to collect reasonable and reliable data on pure emotion due to the nature of emotion in mathematics education research, it is suggested to introduce the concept of emotional intelligence, which is the combination of emotion and cognition. Also, it was recommended to utilize the concept of meta-emotion for future study on emotion-related research.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.23 no.2
• /
• pp.314-325
• /
• 1999

The purposes of this study were to classify the types of consumers' emotion experienced in-store by shopping motivation and to examined the effects of store environmental factors on emotion and on shopping behavior. The questionnaires were administered to 330 women shopped in department store. Data from 299 women were analyzed by using frequency t-test and regression analysis by SPSS for windows PC program The results of this study were as follows : 1. The consumers' emotion experienced in -store were composed of five factors. But it could be divided by positive negative factors. 2. There was not significant difference in positive emotion between he Product Pu-rchasing Motive Group and the Window Shopping Motive Group. But there was significant difference n negative emotion between two groups. 3. It was found that the effect of environmental factors of apparel store on emotion was significant in both groups. Especially salespeoples' pressure significantly influenced negative emotion in both groups. 4. The emotion experienced in -store significantly influenced clothing shopping behavior.