• Journal of the Korean Society for Library and Information Science
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• v.53 no.4
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• pp.285-307
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• 2019

In 2011, the Korean Medical Association revised the name of schizophrenia to remove the social stigma for the sick. Although it has been about nine years since the revision of the terminology, no studies have quantitatively analyzed how much social awareness has changed. Thus, this study investigates the changes in social awareness of schizophrenia caused by the revision of the disease name by analyzing Naver news articles related to the disease. For text analysis, LDA topic modeling, TF-IDF, word co-occurrence, and sentiment analysis techniques were used. The results showed that social awareness of the disease was more negative after the revision of the terminology. In addition, social awareness of the former term among two terms used after the revision was more negative. In other words, the revision of the disease did not resolve the stigma.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.9
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• pp.1199-1205
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• 2021

In the era of big data, not only structured data well organized in databases, but also the Internet, social network services, it is very important to effectively analyze unstructured big data such as web documents, e-mails, and social data generated in real time in mobile environment. Big data analysis is the process of creating new value by discovering meaningful new correlations, patterns, and trends in big data stored in data storage. We intend to summarize and visualize the analysis results through frequency analysis of unstructured article data using R language, a big data analysis tool. The data used in this study was analyzed for total 104 papers in the Mon-May 2021 among the journals of the Korea Institute of Information and Communication Engineering. In the final analysis results, the most frequently mentioned keyword was "Data", which ranked first 1,538 times. Therefore, based on the results of the analysis, the limitations of the study and theoretical implications are suggested.

• International Area Studies Review
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• v.22 no.1
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• pp.237-257
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• 2018

The distinction between high culture and popular culture is gradually weakening. Taste is becoming a new standard to distinguish culture. This research analyze sports film by taste cultural perspective. In perspective of Universality, and is Both emphasized the individual attitude of sincere effort. This can be interpreted as a capitalist ideology. Analyzing the two films as a global and local tastes culture, shows a new world that follows the birth of a star player and deifies the football beyond borders and races. shows the distrust of the system through the K-League Citizens' Club and the trust in individual who does their best in the meantime.

• The Journal of the Korea Contents Association
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• v.21 no.10
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• pp.184-193
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• 2021

Interactive documentary refers to a new style of documentary that is created and accepted through active interaction. It is attracting attention as a platform that forms a public sphere and mediates audiences to participate in social change. However, the possibilities was not systematically explored, and there was insufficient consideration on how to realize them. In this paper, discussions on the political aesthetics of Walter Benjamin are examined, and the media characteristics of interactive documentary are analyzed through text mining. Then, by connecting the two to each other, we draw a map of the political and aesthetic possibilities, and based on the map, we analyze the actual works. This study has the value of establishing a theoretical framework for the possibilities of interactive documentaries. In the follow-up study, we will consider the practical strategy of interactive documentary as a transmedia activism and develop a practical analysis and planning methodology.

• (The) Research of the performance art and culture
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• no.25
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• pp.183-210
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• 2012

이 조사는 해방 이후부터 1980년대까지 한국에서 공연된 일본번역극을 대상으로 하고 있다. 지금까지 서구연극의 번역에 대한 연구는 많았지만, 일본연극은 2000년대 이후에서야 거론되기 시작했다. 그 가장 큰 이유는 일제강점기 이후 정책적으로 일본문화를 차단시켜 일본연극을 접할 기회가 적었기 때문이다. 해방 후 최초로 원작명과 원작자의 이름이 밝혀진 상태로 번역 공연된 일본작품은 <고독한 영웅>(1969)이다. 이후 1982년에 이노우에 히사시 작의 <어미-화장->이 오태석의 연출로 무대에 올랐고, 85년에는 아베 고보의 <친구들>, 쓰카 고헤이의 <뜨거운 바다> 등이 소개되었다. 이 세 작품은 모두 재연이 되었는데, 특히 쓰카 고헤이의 작품은 본인의 연출에 의한 재연뿐 아니라, 한국연출가들에 의해 재해석되어 최근까지 재연이 이루어진 사례로, 가장 큰 영향력을 보였다고 할 수 있다. 일본문화개방 이전에 번안 각색된 일본연극이 많이 소개되었다고 하더라도, 일본연극의 '번역'으로, 그들의 다른 문화와 다른 연극 만들기 방식을 볼 수 있었던 것은 의의있는 체험이었다고 생각한다. 그것은 곧, 해방 전 절대적인 영향관계에 놓여있었던 한일 연극이 동등한 타자로서의 관계를 성립했음을 의미하기 때문이다. 그렇다면 서양 작품이 대부분인 번역극 중에서, 이들 작품은 한국의 제작 측과 관객으로부터 어떠한 기대를 받았을까? 번역된 작품들에서 공통점을 찾아내는 것은 어렵지만, 같은 시기 일본극단의 내한공연을 함께 살펴보면 재일교포의 이야기를 하거나 재일교포 작가의 작품이 다수 발견된다. 그러나 그 공연들이 곧 재일교포 문제에 대한 담론으로 이어지지는 않는다. 일본극단의 공연이 자막조차 제공하지 않은 채 진행된 경우가 많아 텍스트에 대한 비중이 상대적으로 낮았다는 점도 그 이유가 될 수 있겠지만, 번역극의 경우에서조차 텍스트 분석과 고찰이 제대로 이루어지지 못 했다. 그렇다면 결국 우리가 일본연극을 통해 보고자 했던 것은 무엇일까? 해방 후부터 1980년대까지, 어떤 일본작품이 우리에게 소개되었는지, 그리고 어떠한 방식으로 소개되었는지 검토하는 일은, 서구번역극과 차별되는 일본번역극을 통해 궁극적으로 당시 한국연극이 추구하던 방향을 되돌아볼 수 있는 또 하나의 방법이 될 것이라고 생각한다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.18 no.5
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• pp.149-160
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• 2008

As individual users have to provide more information than the minimum for using information communication service, the invasion of privacy of Individual users is increasing. That is why client/server based personal information security platform technologies are being developed such as P3P, EPAL and XACML. By the way enterprises and organizations using primarily role based access control can not use these technologies. because those technologies apply access control policies to individual subjects. In this paper, we suggest an expression language for privacy enhancing role-based access control policy. Suggested privacy enhancing role-based access control policy language model is a variation of XACML which uses matching method and condition, and separately contains elements of role, purpose, and obligation. We suggest policy language model for permission assignment in this paper, shows not only privacy policy scenario with policy document instance, but also request context and response context for helping understanding.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.4
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• pp.153-160
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• 2021

With the advent of the "age of video" due to the simplification of video content production and the convenience of broadcasting channel operation, review videos on various products are drawing attention. We proposes RASIA, an integrated reliability analysis system based on verbal and nonverbal sentiment analysis of review videos. RASIA extracts and quantifies each emotional value obtained through language sentiment analysis and facial analysis of the reviewer in the video. Subsequently, we conduct an integrated reliability analysis of standardized verbal and nonverbal sentimental values. RASIA provide an new objective indicator to evaluate the reliability of the review video.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.5
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• pp.139-146
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• 2022

Recently, solving industrial and social problems and creating new values based on big data and AI is being discussed as the main policy goal. The new government also set the digital platform government as a national task in order to achieve new value creation based on big data and AI. However, studies that summarize and diagnose discussions over the past five years are insufficient. Therefore, this study diagnoses the discussions over the past 5 years using the 4th industrial revolution as a keyword. After collecting news editorials from 2017 to 2022 by applying the text mining technique, 9 major topics were discovered. In conclusion, this study provided implications for the government's task to prepare for the future society.

• Journal of Navigation and Port Research
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• v.45 no.3
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• pp.95-101
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• 2021

Marine Incidents based on Heinrich's law are very important in preventing accidents. However, marine Incident data are mainly qualitative and are used to prevent similar accidents through case sharing rather than statistical analysis, which can be confirmed in the marine Incident-related data posted in the Korea Maritime Safety Tribunal. Therefore, this study derived quantitative results by analyzing the causes of marine incidents during berthing using various methods of statistical analysis. To this end, data involving marine incidents from various shipping companies were collected and reclassified for easy analysis. The main keywords were derived via primary analysis using text mining. Only meaningful words were selected via verification by an expert group, and time series and cluster analysis were performed to predict marine incidents that may occur during berthing. Although the role of an expert group was still required during the analysis, it was confirmed that quantitative analysis of marine incidents was feasible, and iused to provide cause and accident prevention information.

• Journal of the Korea Convergence Society
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• v.12 no.7
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• pp.31-36
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• 2021

As the global economy stagnated due to the Corona 19 virus from Wuhan, China, most countries, including the US Federal Reserve System, introduced policies to boost the economy by increasing the amount of money. Most of the stock investors tend to invest only by listening to the recommendations of famous YouTubers or acquaintances without analyzing the financial statements of the company, so there is a high possibility of the loss of stock investments. Therefore, in this research, I have used artificial intelligence deep learning techniques developed under the existing automatic trading conditions to analyze and predict macro-indicators that affect stock prices, giving weights on individual stock price predictions through correlations that affect stock prices. In addition, since stock prices react sensitively to real-time stock market news, a more accurate stock price prediction is made by reflecting the weight to the stock price predicted by artificial intelligence through stock market news text mining, providing stock investors with the basis for deciding to make a proper stock investment.