• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.47 no.1
• /
• pp.41-50
• /
• 2024

Korea is facing a significant problem with historically low fertility rates, which is becoming a major social issue affecting the economy, labor force, and national security. This study analyzes the factors contributing to the regional gap in fertility rates and derives policy implications. The government and local authorities are implementing a range of policies to address the issue of low fertility. To establish an effective strategy, it is essential to identify the primary factors that contribute to regional disparities. This study identifies these factors and explores policy implications through machine learning and explainable artificial intelligence. The study also examines the influence of media and public opinion on childbirth in Korea by incorporating news and online community sentiment, as well as sentiment fear indices, as independent variables. To establish the relationship between regional fertility rates and factors, the study employs four machine learning models: multiple linear regression, XGBoost, Random Forest, and Support Vector Regression. Support Vector Regression, XGBoost, and Random Forest significantly outperform linear regression, highlighting the importance of machine learning models in explaining non-linear relationships with numerous variables. A factor analysis using SHAP is then conducted. The unemployment rate, Regional Gross Domestic Product per Capita, Women's Participation in Economic Activities, Number of Crimes Committed, Average Age of First Marriage, and Private Education Expenses significantly impact regional fertility rates. However, the degree of impact of the factors affecting fertility may vary by region, suggesting the need for policies tailored to the characteristics of each region, not just an overall ranking of factors.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.24 no.4
• /
• pp.9-14
• /
• 2024

This study developed a voice recognition chatbot system to address depression and loneliness among the elderly in an aging society. The system utilizes the Whisper model, GPT 2.5, and XTTS2 to provide high-performance voice recognition, natural language processing, and text-to-speech conversion. Users can express their emotions and states and receive appropriate responses, with voice recognition functionality using familiar voices for comfort and reassurance. The UX/UI design considers the cognitive responses, visual impairments, and physical limitations of the smart senior generation, using high contrast colors and readable fonts for enhanced usability. This research is expected to improve the quality of life for the elderly through voice-based interfaces.

• Cartoon and Animation Studies
• /
• s.15
• /
• pp.29-47
• /
• 2009

The changes in the field of high tech media promote the development of animation films, which was considered once as a decaying industry. A large success of Disney animation films in 1980's and the possibilities of animation as an economically profitable mass products allowed this art form to play a leading role in mass culture. But, the cultural and philosophical aspects of animation works are not studied enough up to this time, despite its importance. This article is focused on the study of animation as a serious cultural and philosophical text. The object of research is the Russian animation in the period of 1960-1980 years. In this time, new trends are noticed in the history of Russian animation : aesthetical experiments in style and subjects became possible since the society freed from totalitarian atmosphere after the political destalinization by Khrushchev. In addition to, it was the time when the system of state subsidies still functioned, that animation was not the object of cultural industry yet, as it happened in the period of Perestroika. In this condition, lots of short animation films, which were remarkable not only in the context of Soviet art culture, but also in the history of world animation films, were produced. This article proposes to analyze the characteristics of realities and fantasy, portrayed in the films of this period, and examine the role and status of animation films in the social-cultural context.

• Korean journal of communication and information
• /
• v.15
• /
• pp.75-115
• /
• 2000

In Korea, since the mid 1990s, the subtitles are largely employed on television programs especially on diverting programs like talk shows and game shows. The functions of these subtitles are different from those of the traditional subtitles. The traditional subtitles are used to give credits, explain an action, or represent dialogue, to be brief they are used to give informations. But the new type of subtitles are used to amuse the public. Not only the new subtitles represent words of the guests but also they present opinions or judgements of the program producer. They show also what to give attention to, what the guest feels and finally what to laugh at. These subtitles are very well received by the public. So they are employed more and more frequently by lots of programs. These subtitles will be ratted comic subtitles because their principal function Is to raise a laughter and to make fun. The purpose of this study is to attempt to find some particularities concerning the uses of the comic subtitles on Korean television. The study suggests that the comic subtitles call for the very known social codes because they should be understood clearly by the public. The forms and styles of the codes employed in the comic subtitles are very similar to those used in the comics. Some graphic codes especially developed in the comics are employed with success in the comic subtitles. The comic subtitles are aiming to amuse and provoke a laughter by written text and visual codes usually employed in the comics. But why does the program producer use the comic titles for make the public laugh? Laugh is not a emotional reaction but a act caused by the intellectual judgement. Written text and visual codes employed in the comic subtitles permit to judge the situation intellectually because they give to the public a moment for think about what they treat. They permit the public to see more clearly the situational relations which can provoke a laughter. The comic subtitles constitute now one of the main elements on Korean television. It means that the insertion of writing in the audiovisual media is popular in Korea. The study suggests that there is something in Korean culture which can favours this insertion : in Korea, writing has never been separated from painting. It seems that in Korea, there has been no clear separation between written culture and visual culture. But this point must be approached more carefully and needs profound researches.

• Journal of Korea Society of Industrial Information Systems
• /
• v.29 no.3
• /
• pp.1-12
• /
• 2024

In this paper, we fine-tuned KoAlpaca, a large-scale Korean language model, and implemented a blog text generation system utilizing it. Blogs on social media platforms are widely used as a marketing tool for businesses. We constructed training data of positive reviews through emotion analysis and refinement of collected sponsored blog texts and applied QLoRA for the lightweight training of KoAlpaca. QLoRA is a fine-tuning approach that significantly reduces the memory usage required for training, with experiments in an environment with a parameter size of 12.8B showing up to a 58.8% decrease in memory usage compared to LoRA. To evaluate the generative performance of the fine-tuned model, texts generated from 100 inputs not included in the training data produced on average more than twice the number of words compared to the pre-trained model, with texts of positive sentiment also appearing more than twice as often. In a survey conducted for qualitative evaluation of generative performance, responses indicated that the fine-tuned model's generated outputs were more relevant to the given topics on average 77.5% of the time. This demonstrates that the positive review generation language model for sponsored content in this paper can enhance the efficiency of time management for content creation and ensure consistent marketing effects. However, to reduce the generation of content that deviates from the category of positive reviews due to elements of the pre-trained model, we plan to proceed with fine-tuning using the augmentation of training data.

• Journal of Intelligence and Information Systems
• /
• v.24 no.1
• /
• pp.183-203
• /
• 2018

News articles are the most suitable medium for examining the events occurring at home and abroad. Especially, as the development of information and communication technology has brought various kinds of online news media, the news about the events occurring in society has increased greatly. So automatically summarizing key events from massive amounts of news data will help users to look at many of the events at a glance. In addition, if we build and provide an event network based on the relevance of events, it will be able to greatly help the reader in understanding the current events. In this study, we propose a method for extracting event networks from large news text data. To this end, we first collected Korean political and social articles from March 2016 to March 2017, and integrated the synonyms by leaving only meaningful words through preprocessing using NPMI and Word2Vec. Latent Dirichlet allocation (LDA) topic modeling was used to calculate the subject distribution by date and to find the peak of the subject distribution and to detect the event. A total of 32 topics were extracted from the topic modeling, and the point of occurrence of the event was deduced by looking at the point at which each subject distribution surged. As a result, a total of 85 events were detected, but the final 16 events were filtered and presented using the Gaussian smoothing technique. We also calculated the relevance score between events detected to construct the event network. Using the cosine coefficient between the co-occurred events, we calculated the relevance between the events and connected the events to construct the event network. Finally, we set up the event network by setting each event to each vertex and the relevance score between events to the vertices connecting the vertices. The event network constructed in our methods helped us to sort out major events in the political and social fields in Korea that occurred in the last one year in chronological order and at the same time identify which events are related to certain events. Our approach differs from existing event detection methods in that LDA topic modeling makes it possible to easily analyze large amounts of data and to identify the relevance of events that were difficult to detect in existing event detection. We applied various text mining techniques and Word2vec technique in the text preprocessing to improve the accuracy of the extraction of proper nouns and synthetic nouns, which have been difficult in analyzing existing Korean texts, can be found. In this study, the detection and network configuration techniques of the event have the following advantages in practical application. First, LDA topic modeling, which is unsupervised learning, can easily analyze subject and topic words and distribution from huge amount of data. Also, by using the date information of the collected news articles, it is possible to express the distribution by topic in a time series. Second, we can find out the connection of events in the form of present and summarized form by calculating relevance score and constructing event network by using simultaneous occurrence of topics that are difficult to grasp in existing event detection. It can be seen from the fact that the inter-event relevance-based event network proposed in this study was actually constructed in order of occurrence time. It is also possible to identify what happened as a starting point for a series of events through the event network. The limitation of this study is that the characteristics of LDA topic modeling have different results according to the initial parameters and the number of subjects, and the subject and event name of the analysis result should be given by the subjective judgment of the researcher. Also, since each topic is assumed to be exclusive and independent, it does not take into account the relevance between themes. Subsequent studies need to calculate the relevance between events that are not covered in this study or those that belong to the same subject.

• Journal of Digital Convergence
• /
• v.19 no.5
• /
• pp.375-381
• /
• 2021

This study aimed to examine the dilemma of rural China under rapid urbanization process after economic reform, by paying attention to the problem of the order of village community and the expression of individual desires depicted in the film with a rural background. To this end, the narrative analysis, which is suitable for exploring the story structure and expression style of the text, was conducted to examine the community order and ethics, patriarchy and paternity, and the expression of desires of subject. In the film, closed space and villagers, who are disciplined by community customs, local culture, and formality of the rule of manners, are depicted. The film is covered in a form of mystery movie dealing with the deaths of members of the village community. However, the film talks about the rise of the Imaginary desire of subject against the symbolic rules of community order and ethics through the puzzle pieces story according to the perspectives of the characters. In conclusion, through the narrative analysis, it was possible to examine the implications of weakened communal discipline and paternity of the countryside by the rapid urbanization of China, and implications of the lethargy and neurosis of the subjects.

• Journal of Korea Entertainment Industry Association
• /
• v.14 no.8
• /
• pp.175-187
• /
• 2020

The purpose of this study is to discuss the elements and meanings of the performative scenography which has been revealed through the new directorial interpretation and deconstruction process of the musical 『All Shook Up』. The performative scenography characteristics after postmodernism aim to create individual active perceptions and various social meanings through audience's voluntary and particular emergence. To this end, the theoretical foundation of scenography was examined by periods in advance. Based on this, I attempted to establish performative scenography for synthesized scenic and media design through the reconstruction process for the 『All Shook Up Travelers』. As a result, I set up visual narrative based world of 『All Shook Up Travelers』 which was produced by text-based intense images for a direct medium in order to expand actors' inner narrative and established unique performative scenography of its own: 1. enhancing the adapted one's narratives for the actors' and audience's co-existence and detachment, 2. delivering its own independent meanings which have double meanings, 3. encouraging audience's critical and active perception experiences through collage and montage of media.

• Journal of Popular Narrative
• /
• v.25 no.3
• /
• pp.143-180
• /
• 2019

This article aims to examine the manner in which the 'Byeongmat' discourse was constructed, and the mechanism of the 'Byeongmat' discourse. I claim that the constructed discourse excludes disabled persons and women. When the 'Byeongmat' first appeared in the mainstream, it was understood as being presented only by webtoons. Furthermore 'Byeongmat' and webtoons were understood as almost synonymous. In this sense, it is no exaggeration to say that the way in which the 'Byeongmat' discourse was constructed is the way in which 'Byeongmat webtoons' were interpreted. In this article, to find out how the 'Byeongmat' discourse was constructed, I examine two things. First, the reception of media of 'Byeongmat'. 'Byeongmat' was at first understood as 'kitsch' by the media, but soon after generational meaning was added. Second, the interpretation of 'Byeongmat' in academia. In academia, the 'Byeongmat' discourse is advanced as a refined generationalism. Regardless of the 'Byeongmat webtoon' itself, 'Byeongmat webtoon' is interpreted as a text which is destructing narrative and filled with parodies. Furthermore this characteristic of the 'Byeongmat webtoon' is interpreted as a resistance culture of the younger generation. However, this interpretation serves as a mechanism which excludes the disabled and women. Currently, Korean society faces the popularization of the 'Byeongmat' code, the decline of the 'Byeongmat webtoons' and the crack of the younger generation discourse. The current situation allows the 'Byeongmat' discourse to be criticized without losing its social context while securing a distance of critcism. I expect that this article can contribute to further diversifying interpretations of 'Byeongmat' and 'Byeongmat webtoons', and accelerating the crack on the younger generation discourse.

• Informatization Policy
• /
• v.31 no.1
• /
• pp.3-31
• /
• 2024

This study aimed to examine public concerns in South Korea considering the country's unique context, triggered by the advent of generative artificial intelligence such as ChatGPT. To achieve this, comments from 102 YouTube video news related to ethical issues were collected using a Python scraper, and morphological analysis and preprocessing were carried out using Textom on 15,735 comments. These comments were then analyzed using a Correlated Topic Model (CTM). The analysis identified six primary topics within the comments: "Legal and Ethical Considerations"; "Intellectual Property and Technology"; "Technological Advancement and the Future of Humanity"; "Potential of AI in Information Processing"; "Emotional Intelligence and Ethical Regulations in AI"; and "Human Imitation."Structuring these topics based on a correlation coefficient value of over 10% revealed 3 main categories: "Legal and Ethical Considerations"; "Issues Related to Data Generation by ChatGPT (Intellectual Property and Technology, Potential of AI in Information Processing, and Human Imitation)"; and "Fear for the Future of Humanity (Technological Advancement and the Future of Humanity, Emotional Intelligence, and Ethical Regulations in AI)."The study confirmed the coexistence of various concerns along with the growing interest in generative AI like ChatGPT, including worries specific to the historical and social context of South Korea. These findings suggest the need for national-level efforts to ensure data fairness.