• Journal of Korea Game Society
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• v.18 no.3
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• pp.87-102
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• 2018

In this study of effective game localization, we attempt to gauge the influence of characteristics on the translation of the texts in games. In general, the characters in the games that feature interactive story-telling structure have a huge impact on events that occur in the games. Additionally, in case the origin of the characters are closely connected with either cultural factors or symbolisms, the relation between characters and stories tends to be stronger. In this research, the characteristics of the characters in the game 'Lobotomy Corporation' - featuring characteristics based on 'The Tree of Sepiroth' of Kabbalah - will be analyzed in depth; then, the result will lead us to suggest the method of proper translation in order to show how to localize the games effectively in future.

• Annual Conference of KIPS
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• 2004.11a
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• pp.959-962
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• 2004

스마트폰(Smartphone)은 휴대 전화(Mobilephone) 기반에 개인용 정보 단말기(PDA: Personal Digital Assistance)의 장점을 합친 고기능, 다기능의 신개념 휴대 정보통신기기이며, 현재 계속하여 데이터 통신 기능은 물론 카메라, MP3 플레이어 기능 등 기존 휴대폰의 영역을 훨씬 넘어 PC의 영역에 범접하는 다양한 디지털 컨버전스가 이루어지고 있다. 이런 이유로 스마트폰 제조사예서는 기존 휴대 전화기에 비해 훨씬 많아진 정보의 양에 비해 상대적으로 좁은 크기의 액정 화면에 다양한 기능을 표시할 수밖에 없게 되었고, 그 결과 최종 사용자들은 화면 구성이 복잡한 스마트폰을 경험하게 되었다. 본 연구의 목적은 기존 스마트폰의 복잡한 기능중심 화면 표시 중에서 특히 아이콘(Icon)의 형태를 사용자 중심(User Oriented)의 아이콘으로 개선하는 방안을 제안하고, 이의 정략적 개선 효과를 검증하는데 있다. 본 연구는 2 단계의 실험 과정을 거쳐 수행되었으며, 첫 번째 실험에서는 스마트폰의 최종 사용자들 대상으로 평면적인 아이콘과 입체적인 아이콘의 정보 전달 효율성을 비교 측정하고, 두 번째 실험에서는 아이콘과 텍스트의 결합 유무에 따른 정보 전달 효율성을 측정하여, 2 단계의 실험 과정을 통해 분석한 아이콘의 최적 형태를 도출하였다. 본 연구에서는 측정한 실험 결과를 통하여 텍스트와 그래픽의 형식이 결합된 입체적인 아이콘의 형태가 최종 사용자를 위한 정보 전달에 있어 가장 효율적인 아이콘 형태임을 알 수 있었다.

• Archives of design research
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• v.17 no.1
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• pp.127-134
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• 2004

The purpose of this study was to compare data input interfaces used in e-business applications on the web and find optimal input design characteristics. Basic data entry tools such as a pull down menu, list, text input box, and radio button were examined by inputting data into a simulated hotel room reservation web site. Experimental results indicated that the text input box was most efficient for experts or experienced operators when there are more than four menu-items and pull down menu was considered most satisfactory, simplest, and easier to use for novices or unexperienced users. A simple list was determined to be the best for the input of binary data considering user's satisfaction, simplicity, and flexibility but radio button was evaluated best for the ease to use. Design guide lines of this study can be applied to build a usable interactive web sites and increase economic efficiency.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.275-277
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• 2019

The purpose of this study is to classify the topics related to the suicide papers published so far and to identify the proporations of the main topics and the trends of the topics over the past 20 years. For this purpose, a text mining technique used in big data analysis was used as a data base of the Korean Journal of Citation Index (KCI), where information sharing about the papers is most active. This study, which grasps the trends of suicide related research according to the changes of the times, will become a basic data for establishing a strategy to adapt the academic direction related to suicide in the future.

• The Journal of the Convergence on Culture Technology
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• v.5 no.2
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• pp.39-43
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• 2019

Recently, interest in literary therapy has been increasing. However, sometimes reading therapy is called literary therapy. But if you want to be a literary therapist, you need to know about the feelings that literary texts convey. To this end, Park Inkwa has long studied the relationship between sentences and emotions that the human body ignites. This study was also done in the view that the human body is so inspired and cured by literary text. It was conducted on the Lee Hangbok's Sijo "High Peak of Chullyoung", as it is suitable to discuss the feelings of literary therapy. In this study, Emotions were causing a transference to the reader with grief, which told the effect of literary therapy. We hope that such research will continue and further develop the technique of literary therapy.

• Journal of the Korea Society of Computer and Information
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• v.27 no.8
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• pp.219-224
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• 2022

The Korea Meteorological Administration(KMA) has been released life-related indexes such as 'Life industrial weather information' and 'Safety weather information' while other countries' meteorological administrations have been made 'Human-biometeorology' and 'Health meteorology' indexes that concern human sensibility effections to diverse criteria. Although human sensibility changes have been studied in psychological research criteria with diverse and innumerous application areas, there are not enough studies that make data mining based validation of sensibility change factors. In this research I made models to estimate sensibility change caused by weather factors such as temperature and humidity, and validated by collecting sensibility data from SNS text crawling and weather data from KMA public dataset. By Logistic Regression, I clarify factors affecting sensibility changes.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2020.07a
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• pp.573-573
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• 2020

현재 운영되고 있는 대국민 재난 예.경보시스템은 텍스트 및 음성으로만 재난정보를 제공함으로써 고령자 및 외국인, 장애인들과 같이 재난상황 하에서의 사회적 약자에게는 재난대응을 위한 인지가 쉽지 않으며, 제한된 텍스트 정보로 인해 재난상황을 전달하기에 한계가 존재한다. 이를 해결하기 위해서는 다매체를 통한 다양한 멀티미디어 콘텐츠가 포함된 재난정보에 관한 연구와 이를 자동적으로 생성할 수 있는 기술이 필요하다. 국내에서는 디지털사이니지 및 버스정보시스템과 더불어 최신 ICT 기술인 '5G', 'UHD'를 활용한 멀티미디어 재난정보를 수용하여 제공할 수 있는 고도의 인프라 기반이 마련되어 있어 현재보다 많은 재난정보를 전달하여 국민들로 하여금 신속.정확한 재난상황 인지를 가능케 할 수 있다. 다매체에서 활용 가능한 멀티미디어 재난정보 콘텐츠는 행정안전부 '재난정보공동이용시스템'과 기상청 '지진조기경보시스템'에서 제공하고 있는 다양한 관측 및 분석정보를 기반으로 자동적으로 생성된다. 생성된 멀티미디어 재난정보 콘텐츠는 '발생재난 종류'와 '재난발생 일시', '발생지역'과 같은 기본적인 정보를 포함하여 지도기반 '재난발생 위치'와 '대피소 위치', '대응요령', '기타 정보' 등으로 구성된다. 이러한 재난 콘텐츠는 '경보'와 '후속 경보'를 통해 제공되는 정보에 차이를 두어 상황에 맞게 인지할 수 있도록 연구하였다. 다만, 이러한 재난정보 콘텐츠 제공 서비스를 가능케하기 위해서는 현재와 같은 재난정보 전달체계와 더불어 웹서비스 및 양방향 방송망을 활용할 수 있는 전달체계가 확보되어 보다 신속하게 제공될 수 있도록 기반 기술 연구가 필요하다.

• Annual Conference on Human and Language Technology
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• 2023.10a
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• pp.558-562
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• 2023

최근 ChatGPT의 등장으로 텍스트 생성 모델에 대한 관심이 높아지면서, 텍스트 생성 태스크의 성능평가를 위한 지표에 대한 연구가 활발히 이뤄지고 있다. 전통적인 단어 빈도수 기반의 성능 지표는 의미적인 유사도를 고려하지 못하기 때문에, 사전학습 언어모델을 활용한 지표인 BERTScore를 주로 활용해왔다. 하지만 이러한 방법은 사전학습 언어모델이 학습한 데이터에 존재하는 편향으로 인해 공정성에 대한 문제가 우려된다. 이에 따라 한국어 사전학습 언어모델의 편향에 대한 분석 연구가 필요한데, 기존의 한국어 사전학습 언어모델의 편향 분석 연구들은 사회에서 생성되는 다양한 속성 별 편향을 고려하지 못했다는 한계가 있다. 또한 서로 다른 언어를 기반으로 하는 사전학습 언어모델들의 속성 별 편향을 비교 분석하는 연구 또한 미비하였다. 이에 따라 본 논문에서는 한국어 사전학습 언어모델의 속성 별 편향을 비교 분석하며, 영어 사전학습 언어모델이 갖고 있는 속성 별 편향과 비교 분석하였고, 비교 가능한 데이터셋을 구축하였다. 더불어 한국어 사전학습 언어모델의 종류 및 크기 별 편향 분석을 통해 적합한 모델을 선택할 수 있도록 가이드를 제시한다.

• Journal of Intelligence and Information Systems
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• v.25 no.3
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• pp.63-88
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• 2019

The goal of this paper is to investigate changes in North Korea's domestic and foreign policies through automated text analysis over North Korea represented in South Korean mass media. Based on that data, we then analyze the status of text mining research, using a text mining technique to find the topics, methods, and trends of text mining research. We also investigate the characteristics and method of analysis of the text mining techniques, confirmed by analysis of the data. In this study, R program was used to apply the text mining technique. R program is free software for statistical computing and graphics. Also, Text mining methods allow to highlight the most frequently used keywords in a paragraph of texts. One can create a word cloud, also referred as text cloud or tag cloud. This study proposes a procedure to find meaningful tendencies based on a combination of word cloud, and co-occurrence networks. This study aims to more objectively explore the images of North Korea represented in South Korean newspapers by quantitatively reviewing the patterns of language use related to North Korea from 2016. 11. 1 to 2019. 5. 23 newspaper big data. In this study, we divided into three periods considering recent inter - Korean relations. Before January 1, 2018, it was set as a Before Phase of Peace Building. From January 1, 2018 to February 24, 2019, we have set up a Peace Building Phase. The New Year's message of Kim Jong-un and the Olympics of Pyeong Chang formed an atmosphere of peace on the Korean peninsula. After the Hanoi Pease summit, the third period was the silence of the relationship between North Korea and the United States. Therefore, it was called Depression Phase of Peace Building. This study analyzes news articles related to North Korea of the Korea Press Foundation database(www.bigkinds.or.kr) through text mining, to investigate characteristics of the Kim Jong-un regime's South Korea policy and unification discourse. The main results of this study show that trends in the North Korean national policy agenda can be discovered based on clustering and visualization algorithms. In particular, it examines the changes in the international circumstances, domestic conflicts, the living conditions of North Korea, the South's Aid project for the North, the conflicts of the two Koreas, North Korean nuclear issue, and the North Korean refugee problem through the co-occurrence word analysis. It also offers an analysis of South Korean mentality toward North Korea in terms of the semantic prosody. In the Before Phase of Peace Building, the results of the analysis showed the order of 'Missiles', 'North Korea Nuclear', 'Diplomacy', 'Unification', and ' South-North Korean'. The results of Peace Building Phase are extracted the order of 'Panmunjom', 'Unification', 'North Korea Nuclear', 'Diplomacy', and 'Military'. The results of Depression Phase of Peace Building derived the order of 'North Korea Nuclear', 'North and South Korea', 'Missile', 'State Department', and 'International'. There are 16 words adopted in all three periods. The order is as follows: 'missile', 'North Korea Nuclear', 'Diplomacy', 'Unification', 'North and South Korea', 'Military', 'Kaesong Industrial Complex', 'Defense', 'Sanctions', 'Denuclearization', 'Peace', 'Exchange and Cooperation', and 'South Korea'. We expect that the results of this study will contribute to analyze the trends of news content of North Korea associated with North Korea's provocations. And future research on North Korean trends will be conducted based on the results of this study. We will continue to study the model development for North Korea risk measurement that can anticipate and respond to North Korea's behavior in advance. We expect that the text mining analysis method and the scientific data analysis technique will be applied to North Korea and unification research field. Through these academic studies, I hope to see a lot of studies that make important contributions to the nation.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.5
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• pp.1-12
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• 2017

The purpose of this study is to investigate the trends of the start-up research in Korea. To accomplish this, meta-analysis was carried out using text mining methodology by dividing the entrepreneur-related master's and doctoral theses registered in RISS into the first term of entrepreneurship research by 2009 and the second term of entrepreneurship research from 2010. As a result of this study, it can be seen from the three different analysis that the entrepreneurship education and government policy and support are the subject of continuous research topics in the whole period and that the researches on small business start-ups have been studied continuously and conducted more in the second half. In addition, empirical analysis is strengthened in the latter stage of entrepreneurial research. The TF-IDF analysis reveals that many researches on veterans have been carried out in the field of entrepreneurship research, and in the latter period, it was found that many studies related to the elderly were conducted with cultural contents and aging society. In addition, research on brand-related research has been carried out throughout the entire period, and research on venture-related research, characteristics of entrepreneurs, entrepreneurship motivation and start-up strategy have been conducted a lot and female entrepreneurship was also studied. In the latter period, we have emphasized entrepreneurial achievements and found that research on start-ups such as industry-academia cooperation, start-up investment, and social enterprise diversified. This study is meaningful to apply the method which is becoming a recent issue such as text mining and topic analysis to the meta-analysis related to start-up. Future research will need to be undertaken on a variety of more detailed topics related to entrepreneurship.