• Journal of Contemporary Eastern Asia
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• 제20권1호
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• pp.44-72
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• 2021

This study analyses North and South Koreas' coverage as framed by the main Polish press titles from 1989 to 2019. The main method applied is a computational textual analysis of press articles based on frequency, correlations and co-occurrences. The purpose is to map the topics of the examined articles in the context of relations between Poland and the two Koreas in various areas, predominantly political and economic relations. Emphasis is placed on the impact the carmaker Daewoo's investment in Poland in the mid-1990s had on bilateral Polish-South Korean relations. First, the authors argue that Korean issues in the Polish press, mainly in the second half of the 1990s, particularly concerned economic affairs. Secondly, they argue that after Poland's accession to the European Union in 2004, the country's interest in the two Koreas decreased, and since that time has remained at a more or less constant level. Finally, the authors discuss the outcome of the research in the context of the main developments in Polish-Korean relations, taking into consideration the results of a Polish public opinion survey presenting the international linkages between national public opinion and foreign policy.

• 지역사회간호학회지
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• 제32권4호
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• pp.467-476
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• 2021

Purpose: The purpose of this study is to understand the social perceptions of nurses in the context of the COVID-19 outbreak through analysis of media articles. Methods: Among the media articles reported from January 1st to September 30th, 2020, those containing the keywords '[corona or Wuhan pneumonia or covid] and [nurse or nursing]' are extracted. After the selection process, the text mining and topic modeling are performed on 454 media articles using textom version 4.5. Results: Frequency Top 30 keywords include 'Nurse', 'Corona', 'Isolation', 'Support', 'Shortage', 'Protective Clothing', and so on. Keywords that ranked high in Term Frequency-Inverse Document Frequency (TF-IDF) values are 'Daegu', 'President', 'Gwangju', 'manpower', and so on. As a result of the topic analysis, 10 topics are derived, such as 'Local infection', 'Dispatch of personnel', 'Message for thanks', and 'Delivery of one's heart'. Conclusion: Nurses are both the contributors and victims of COVID-19 prevention. The government and the nurses' community should make efforts to improve poor working conditions and manpower shortages.

• Asia pacific journal of information systems
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• 제30권4호
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• pp.719-740
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• 2020

The stock market changes continuously as new information emerges, affecting the judgments of investors. Online news articles are valued as a traditional window to inform investors about various information that affects the stock market. This paper proposed new ways to utilize online news articles with technical indicators. The suggested hybrid model consists of three models. First, a self-attention-based convolutional neural network (CNN) model, considered to be better in interpreting the semantics of long texts, uses news content as inputs. Second, a self-attention-based, bi-long short-term memory (bi-LSTM) neural network model for short texts utilizes news titles as inputs. Third, a bi-LSTM model, considered to be better in analyzing context information and time-series models, uses 19 technical indicators as inputs. We used news articles from the previous day and technical indicators from the past seven days to predict the share price of the next day. An experiment was performed with Korean stock market data and news articles from 33 top companies over three years. Through this experiment, our proposed model showed better performance than previous approaches, which have mainly focused on news titles. This paper demonstrated that news titles and content should be treated in different ways for superior stock price prediction.

• 한국컴퓨터정보학회논문지
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• 제28권1호
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• pp.111-119
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• 2023

본 연구는 COVID-19 발생 이전과 이후 보도된 빅데이터 기반의 '독거노인' 관련 언론 기사를 비교함으로써 '독거노인' 관련 언론 기사에 있어 어떠한 변화가 나타나는지 분석하고자 하였다. 이를 위해 COVID-19 발생 이전은 2018~2019년, 발생 이후는 2020~2021년으로 선정하였으며, 빅카인즈를 이용하여 '독거노인' 관련 언론 기사를 수집, 분석하였다. 주요 결과는 다음과 같다. 첫째, COVID-19 발생 이전에 비해 이후에 관련 기사 건수가 감소하였다. 둘째, 연관어 분석에서 큰 차이가 나타나지 않았다. 셋째, 관계도 분석에서 COVID-19 발생 이전에는 '임직원'이, 이후에는 '코로나 19'가 가장 가중치가 크게 나타났다. 본 연구는 '독거노인'과 관련하여 감염병 확산 상황에서 국가 정책 및 제도의 개선안을 마련하는 데 있어 기초 자료로 활용될 것으로 기대한다.

• 산업경영시스템학회지
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• 제46권3호
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• pp.7-14
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• 2023

Recently, the importance of impact-based forecasting has increased along with the socio-economic impact of severe weather have emerged. As news articles contain unconstructed information closely related to the people's life, this study developed and evaluated a binary classification algorithm about snowfall damage information by using media articles text mining. We collected news articles during 2009 to 2021 which containing 'heavy snow' in its body context and labelled whether each article correspond to specific damage fields such as car accident. To develop a classifier, we proposed a probability-based classifier based on the ratio of the two conditional probabilities, which is defined as I/O Ratio in this study. During the construction process, we also adopted the n-gram approach to consider contextual meaning of each keyword. The accuracy of the classifier was 75%, supporting the possibility of application of news big data to the impact-based forecasting. We expect the performance of the classifier will be improve in the further research as the various training data is accumulated. The result of this study can be readily expanded by applying the same methodology to other disasters in the future. Furthermore, the result of this study can reduce social and economic damage of high impact weather by supporting the establishment of an integrated meteorological decision support system.

• 대한수학교육학회지:학교수학
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• 제4권2호
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• pp.261-282
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• 2002

This study intended to search for the way of NIE use as follows: 1) Setting up theoretical base about the way of NIE use to math loaming in primary school. 2) Analyzing the course mathematising through NIE use in math learning in practice. 3) Searching for the way of NIE use to aim at mathematising. As the result, this presented NIE model for mathematising according to the character of each step of the mathematising course. This paper says two things : The first, the way for using learning materials as reonstructing articles of newspapers to teach math learning 1) is searched for each information, scrapped to materialize. 2)is to extract the contents of NIE teaming available to the field and the unit of math curriculum. 3) searches for and applies the model for math NIE teaming. 4) makes up learning materials for each level using articles and presents the matters of deepening and supplement suitable for students. The second, the way for teaching math NIE with a view to helping students' mathematising during the course of teachers' math teaming. 1) reconstructs materials chosen by students' reality. 2) should offer students' communication and abundant context materials which mathematical model is possible. 3)needs to guide students to have motivation teaming so that they can mathematise their real matters by rediscovery 4) progresses mathematical activity using newspapers so that they can apply to new reality by applying informed Idea.

• Journal of Information Science Theory and Practice
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• 제8권3호
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• pp.15-29
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• 2020

This study aims to describe the general patterns of Korean research in Arts and Kinesiology, particularly from the perspective of authorship. Among the 12 sub-areas of Arts and Kinesiology indexed in the Korean Citation Index (KCI), journals in three sub-areas, "Arts," "Design," and "Kinesiology" have the longest publishing histories and produced the largest volume of articles. 68 journals in the "Arts," "Design," and "Kinesiology" sub-areas were accredited in the KCI between 2001 and 2019; 40,955 articles which were published in the journals between the years of accreditation and the end of 2019 serve as the context of this article. Authorship, affiliated institutions and countries, openness to new authors, top researchers, topological properties of authorship networks, overall research performance by authors, and co-authorship patterns were analyzed and compared among three sub-subjects.

• Journal of Information Science Theory and Practice
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• 제6권3호
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• pp.37-44
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• 2018

An academic article is normally cited within a few years of publication, after which interest falls off as the research field moves on. However, an article is sometimes ignored for many years only to attract interest after a long period of dormancy. Such articles are called "Sleeping Beauties." A general characterization of this pattern has recently been defined and is used in this study to identify five Sleeping Beauties that were published by researchers at the University of Waterloo in the 1970s and 1980s. While a handful of studies have examined the occurrence of such Sleeping Beauties in specific fields of research or in a particular journal, none has yet identified these unusual articles in the context of the lasting impact of a university's research. This study is therefore a novel application of the latest technique for identifying Sleeping Beauties. The possibilities for using this unusual citation pattern in raising the profile of a university's research are discussed.

• 한국의류학회지
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• 제23권8호
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• pp.1206-1217
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• 1999

This study is focused on 'mysticism' in fashion which is recently marked as one of the cultural phenomenon emerging at the end of the century, First of all the concept of 'mysticism' and 'occultism' are reviewed to define the mysticism in fashion. Mysticism as a cultural phenomenon is also examined in historical and social context. With these theoretical basis articles which were publshed in 1990s from Korean newspapers and magazines which reported cultural phenomenon related to mysticism are analyzed and categorized. Finally these categories are applied to fashion phenomenon and 'mysticimsm in fashion' is analyzed and clearly examined as a fashion trend. As a result mysticism in fashion that has arose as an end of the century phenomenon within the historical and social context could be categorized into five groups such as 'primitive religion' ' Christianity ' 'oriental philosophy' 'universe' and 'magic and witchcraft'.

• 한국인구학
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• 제28권2호
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• pp.219-243
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• 2005

이 글은 1977-2004년의 기간 동안 한국인구학회의 공식학술지에 수록된 총 367편 게재물의 특성을 분석하여 그 동안 한국인구학의 발전과 연구경향의 변화를 살펴보고 있다. 초창기의 학회지에는 연구논문 이외에도 심포지엄 발표논문, 권두언, 특별기고, 동정 등 다양한 유형의 글이 실렸지만 점차 연구논문이 주류를 이루는 방향으로 변화되었다. 그리고 1985년부터는 연 2회로 발간횟수가 증가함에 따라 게재물의 수가 급격히 증가하는 추세를 보인다. 게재된 논문들의 주제를 시기별로 나누어 살펴보면, 초기에는 인구정책, 출산 사망, 인구이동 등의 전통적 연구 주제들이 높은 비중을 차지하였으나 점차 인구규모와 특징, 노동력, 혼인, 가족, 노인, 고령화, 지역연구 등 다양하고 복합적인 주제의 연구논문들이 많이 게재되고 있다. 또한 게재논문의 저자들을 분석한 결과, 초창기에는 연구기관과 통계 관련 국가기관에 속한 연구자들이 상대적으로 많았으나, 1980년대 중반 이후부터는 대학 소속의 연구자들이 급격하게 증가하는 추세를 보인다. 그리고 활동적인 몇몇 연구자들의 기여도가 매우 높은 것으로 드러났다. 분석에 사용된 자료는 각종 사회조사자료 인구센서스와 문헌자료가 과반수를 점유하는 것으로 나타났다. 아울러 초기의 분석방법은 주로 정책분석, 빈도와 교차표분석, 평균차분석이 주류를 이루었으나, 1980년대 중반 이후부터는 회귀분석이, 그리고 1990년대 이후에는 로지스틱분석, 생존분석 등 정교한 기법들의 비중이 급격하게 증가하는 추세를 보인다.