• 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.

• Cross-Cultural Studies
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• v.43
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• pp.139-170
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• 2016

Through the process, it is possible to understand the meanings of specific numerical symbols that are present in our daily lives, rather than regarding them as abstract symbols. The symbols can be efficiently utilized for cultural communication between Korean teachers and foreign learners, and between learners with different cultural backgrounds. A symbol that intensively shows Korean culture can be applied efficiently to cultural education. This is because Korean identity can be understood by means of symbols that represent Korean thoughts and emotions. Therefore, this study intends to examine the contents of symbol education applicable to Korean culture education, centering on numerical symbols amid far-reaching symbol systems. For this purpose, this study analyzed how the application of numerical symbols is presented in Korean textbooks, with the intent to organize the symbols into 4 categories of myth, folklore, taboo, and idiomatic expressions, which might be actually helpful for understanding Korean culture.

• Smart Media Journal
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• v.13 no.6
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• pp.44-53
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• 2024

Companies in modern society are increasingly recognizing sentiment classification as a crucial task, emphasizing the importance of accurately understanding consumer opinions opinions across various platforms such as social media, product reviews, and customer feedback for competitive success. Extensive research is being conducted on sentiment classification as it helps improve products or services by identifying the diverse opinions and emotions of consumers. In sentiment classification, fine-tuning with large-scale datasets and pre-trained language models is essential for enhancing performance. Recent advancements in artificial intelligence have led to high-performing sentiment classification models, with the ELECTRA model standing out due to its efficient learning methods and minimal computing resource requirements. Therefore, this paper proposes a method to enhance sentiment classification performance through efficient fine-tuning of various datasets using the KoELECTRA model, specifically trained for Korean.

• Journal of Intelligence and Information Systems
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• v.25 no.3
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• pp.89-115
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• 2019

This study was conducted to present the stylistic differences between Arthur Conan Doyle and Agatha Christie, famous as writers of classical mystery novels, through data analysis, and further to present the analytical methodology of the study of style based on text mining. The reason why we chose mystery novels for our research is because the unique devices that exist in classical mystery novels have strong stylistic characteristics, and furthermore, by choosing Arthur Conan Doyle and Agatha Christie, who are also famous to the general reader, as subjects of analysis, so that people who are unfamiliar with the research can be familiar with them. The primary objective of this study is to identify how the differences exist within the text and to interpret the effects of these differences on the reader. Accordingly, in addition to events and characters, which are key elements of mystery novels, the writer's grammatical style of writing was defined in style and attempted to analyze it. Two series and four books were selected by each writer, and the text was divided into sentences to secure data. After measuring and granting the emotional score according to each sentence, the emotions of the page progress were visualized as a graph, and the trend of the event progress in the novel was identified under eight themes by applying Topic modeling according to the page. By organizing co-occurrence matrices and performing network analysis, we were able to visually see changes in relationships between people as events progressed. In addition, the entire sentence was divided into a grammatical system based on a total of six types of writing style to identify differences between writers and between works. This enabled us to identify not only the general grammatical writing style of the author, but also the inherent stylistic characteristics in their unconsciousness, and to interpret the effects of these characteristics on the reader. This series of research processes can help to understand the context of the entire text based on a defined understanding of the style, and furthermore, by integrating previously individually conducted stylistic studies. This prior understanding can also contribute to discovering and clarifying the existence of text in unstructured data, including online text. This could help enable more accurate recognition of emotions and delivery of commands on an interactive artificial intelligence platform that currently converts voice into natural language. In the face of increasing attempts to analyze online texts, including New Media, in many ways and discover social phenomena and managerial values, it is expected to contribute to more meaningful online text analysis and semantic interpretation through the links to these studies. However, the fact that the analysis data used in this study are two or four books by author can be considered as a limitation in that the data analysis was not attempted in sufficient quantities. The application of the writing characteristics applied to the Korean text even though it was an English text also could be limitation. The more diverse stylistic characteristics were limited to six, and the less likely interpretation was also considered as a limitation. In addition, it is also regrettable that the research was conducted by analyzing classical mystery novels rather than text that is commonly used today, and that various classical mystery novel writers were not compared. Subsequent research will attempt to increase the diversity of interpretations by taking into account a wider variety of grammatical systems and stylistic structures and will also be applied to the current frequently used online text analysis to assess the potential for interpretation. It is expected that this will enable the interpretation and definition of the specific structure of the style and that various usability can be considered.

• The Journal of the Korea Contents Association
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• v.21 no.11
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• pp.375-388
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• 2021

This study aims to contribute to the understanding of consumer behavior during the COVID-19 by comparing blog reviews of an over-the-top (OTT) online video service from before and during the pandemic. We anticipate that the COVID-19 outbreak prompts the use of the OTT service as part of an emotion-focused coping strategy derived from the loss of personal control and the subsequent avoidance motivation. We also posit that a strong yearning for life before COVID-19 will increase interest in the content that fulfills a need for nostalgia. Our analysis of Netflix reviews provides empirical evidence of the effects of an emotion-focused coping strategy and nostalgia on OTT service usage. First, the titles of the reviews posted during COVID-19 indicate that consumers were less likely to mention OTT services other than Netflix, more interested in domestic content, and used OTT services as an avoidance-denial strategy. Second, the blog content demonstrates that while pre-COVID reviews tend to focus on the practical benefits of OTT services, those posted during the pandemic focus on mood, emotions, and dialogue. In addition, interest in comedy and romance genres increased during COVID-19. Third, we identified a greater preference for realistic or everyday content that depicted the pre-pandemic era. This is the first empirical study to investigate the effects of COVID-19 on video streaming usage in Korea. In addition, this research contributes to the field of marketing by expanding our understanding of online video service users during COVID-19 and identifies practical implications for OTT services in the midst of a pandemic.

• Korean Journal of Childcare and Education
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• v.9 no.4
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• pp.159-184
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• 2013

The purpose of this study was to examine the social efficacy of children shown in reflective journal writing of early childhood education teachers focusing on picture book activities. The subjects were 47 3, 4 and 5 year old children in G Child Care Center in the Capital Area. Teachers were asked to do 20 picture book activities and to write a journal according to reflective thinking after each picture book activity. Through the reflective journals collected, this study attempted to interpret and analyze them qualitatively by classifying the journals and yielding text contents according to factors for children's social efficacy such as emotionality, emotion control, interpersonal relationship technique, and social knowledge understanding. From the results of this study, first, it was found that children expressed their emotion naturally and that they learned their unique emotionality while they lived together with their friends. Second, it was found that children perceived and controlled their own emotions by using their sympathy and empathy. Third, it was found that children recognized and accepted that they are different rather than the counterparts are wrong through their differences in each other's thoughts to compose the capability of interpersonal relationship. Fourth, it was found that children improved themselves by their understanding, respecting and accommodating their friends as members of society.

• Journal of The Korean Association For Science Education
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• v.43 no.3
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• pp.307-319
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• 2023

This study aims to explain the key concepts and principles of text-based generative artificial intelligence (AI) that has been receiving increasing interest and utilization, focusing on its application in science education. It also highlights the potential and limitations of utilizing generative AI in science education, providing insights for its implementation and research aspects. Recent advancements in generative AI, predominantly based on transformer models consisting of encoders and decoders, have shown remarkable progress through optimization of reinforcement learning and reward models using human feedback, as well as understanding context. Particularly, it can perform various functions such as writing, summarizing, keyword extraction, evaluation, and feedback based on the ability to understand various user questions and intents. It also offers practical utility in diagnosing learners and structuring educational content based on provided examples by educators. However, it is necessary to examine the concerns regarding the limitations of generative AI, including the potential for conveying inaccurate facts or knowledge, bias resulting from overconfidence, and uncertainties regarding its impact on user attitudes or emotions. Moreover, the responses provided by generative AI are probabilistic based on response data from many individuals, which raises concerns about limiting insightful and innovative thinking that may offer different perspectives or ideas. In light of these considerations, this study provides practical suggestions for the positive utilization of AI in science education.

• Journal of Intelligence and Information Systems
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• v.29 no.3
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• pp.211-227
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• 2023

Personal service robots, a type of social robot that has emerged with the aging population and technological advancements, are undergoing a transformation centered around technologies that can extend independent living for older adults in their homes. For older adults to accept and use social robot innovations in their daily lives on a long-term basis, it is crucial to have a deeper understanding of user perspectives, contexts, and emotions. This research aims to comprehensively understand older adults by utilizing a mixed-method approach that integrates quantitative and qualitative data. Specifically, we employ the Van Kaam phenomenological methodology to group conversations into nine categories based on emotional cues and conversation participants as key variables, using voice conversation records between older adults and social robots. We then personalize the conversations based on frequency and weight, allowing for user segmentation. Additionally, we conduct profiling analysis using demographic data and health indicators obtained from pre-survey questionnaires. Furthermore, based on the analysis of conversations, we perform K-means cluster analysis to classify older adults into three groups and examine their respective characteristics. The proposed model in this study is expected to contribute to the growth of businesses related to understanding users and deriving insights by providing a methodology for segmenting older adult s, which is essential for the future provision of social robots with caregiving functions in everyday life.

• Journal of Popular Narrative
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• v.27 no.1
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• pp.265-299
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• 2021

The purpose of this research paper is to facilitate the understanding of the synesthetic aesthetics in the film The Age of Innocence through the intertextuality among the narrative, paintings, and music in the film. In this paper, a two-dimensional intertextual analysis of the paintings in relation to the narrative is conducted on the paintings owned by Old New York, the paintings owned by Ellen, the portraits of unknown artists on the street outside of Parker House, and Rubens' painting at the Louvre. A three-dimensional intertextual analysis of performances in relation to the narrative is conducted on the stages and the box seats at the New York Academy of Music, in which Charles F. Gounod's Faust is performed, and the Wallack's Theatre, in which Dion Boucicault's The Shaughraun is performed. An intertextual analysis of music in relation to the narrative is also conducted on the diegetic and non-diegetic classical music of the film, including Beethoven's Piano Sonata No. 8 and Mendelssohn's String Quintet No. 2, as well as Elmer Bernstein's non-diegetic music of the film. The constituent event of The Age of Innocence represents the passion trapped in the reflection of love and desire that are not lasting, and the supplementary event embodies the narrow viewpoint and the inversion of values caused by the patriarchal authority of Old New York. The characters in the film live a double life, presenting an unaffected surface and concealing the problems behind it. The characters restrain their emotions at both the climax and the ending. The most powerful aspect of the film is the type and nature of oppressive life, which are more delicately described with the help of paintings and music, as there is a limit to describing them only by acting. In intertextual terms, paintings and music in The Age of Innocence continuously emphasize "feeling of emotions that cannot be expressed in language." With a synesthetic image, as if each part were imprinted on the previous part, the continuity "responds to continuous camera movements and montage effects." In The Age of Innocence, erotic dynamism brings dramatic excitement to the highest level, switching between the satisfaction of revealing desire and the disappointment of hiding desire due to its taboo status. This is possible because paintings and music related to the narrative have made aesthetic achievements that overcome the limitations of two-dimensional planes and limited frames. The significance of this study lies in that, since the identification in The Age of Innocence is based on the establishment of a synesthetic aesthetic through audio-visual representation of the film narrative, it helps us to rediscover the possibility of cinematic aesthetics.

• Cartoon and Animation Studies
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• s.51
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• pp.129-158
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• 2018

China has had many excellent Chinese-style animation since the 1950s. These animations are of distinctive Chinese national characteristics. They have won many awards both at home and abroad, such as "Feelings of Mountains and Waters", "Uproar In Heaven", "Why is the Crow Black-Coated" and so on. But nowadays, Chinese animations that mimics Japanese and American animation are very often, and there are few animation works with rich traditional Chinese culture. There are some works in the name of Chinese style, but they have not been fully accepted by the audiences. If one wants to create animated works of Chinese style, the author must have an in-depth understanding of Chinese traditional and folk art. Animation can not be designed only on the surface. This paper mainly studies the traditional five color concept in China and its application in animation. The purpose is to provide some references to differentiate Chinese animation from other countries in terms of style and color. The main content of this paper is to understand the concept and history of Chinese traditional five color views, and to know that this color system has reflected the ancestors' concept of nature and society. On the basis of five monochromatic colors, red, yellow, green, white and black, it is a kind of complex color concept that has been developed and perfected continuously after a long period of accumulation and precipitation in the practice of life. It is the theoretical basis of Chinese traditional color system and a complete set of historical, cultural, philosophical and religious theories. Finally, this paper analyzes the colors and their symbolic meanings of the main roles in "Uproar In Heaven", a color long animation produced by Shanghai Animation Film Studio, including Sun Wukong, the Jade Emperor and Na Zha. Color is the first visual language. The use of color symbols to express the inner feelings, status, good and evil of the characters will affect the audience's emotions, behaviors and opinions imperceptibly. The traditional Chinese five color concept has gone through such a long history, and its symbolic meaning has a more profound impact on Chinese people. Applying the color concept and symbolic meaning of Chinese traditional five color concept will further highlight the personalities and emotions of the roles in Chinese style animations. This paper takes the five-color view as the theoretical basis, and through the analysis of cartoons with traditional Chinese color, the author finds ways to flexibly use traditional Chinese culture.