• Journal of Contemporary Eastern Asia
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• v.20 no.1
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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.

• Research in Community and Public Health Nursing
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• v.32 no.4
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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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• v.30 no.4
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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.

• Journal of the Korea Society of Computer and Information
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• v.28 no.1
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• pp.111-119
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• 2023

This study aimed to analyze the changes in news articles related to 'Elderly Living Alone' by comparing Big Data-based news articles related to 'Elderly Living Alone' reported before and after the outbreak of COVID-19. For this, 2018 to 2019 were selected before the outbreak of COVID-19, and 2020 to 2021 were selected after the outbreak, and news articles related to 'Elderly Living Alone' were collected and analyzed using BIGKinds. The main results are as follows. First, the number of related articles decreased after the outbreak of COVID-19 compared to before. Second, there was no significant difference in the analysis of related words. Third, in the relationship diagram analysis, 'Executives' before the outbreak of COVID-19 and 'Corona 19' after that showed the most weight. This study is expected to be used as basic data in preparing improvement plans for national policies and systems in the context of the spread of infectious diseases in relation to 'Elderly Living Alone'.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.3
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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.

• School Mathematics
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• v.4 no.2
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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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• v.8 no.3
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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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• v.6 no.3
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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.

• Journal of the Korean Society of Clothing and Textiles
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• v.23 no.8
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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'.

• Korea journal of population studies
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• v.28 no.2
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• pp.219-243
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• 2005

This paper reviews research outputs in Korea Journal of Population Studies (KJPS) and the changes in their contents during the period of 1977-2004. In the early years of KJPS, various types of outputs were published, but changes have been made into a direction that research articles compose the main context of the journal. As the journal published twice a year, the total number of articles of the journal shows a trend of marked rise. An analysis of the themes of articles shows that the trend of research in Korean demography has changed hand in hand with transformations of the Korean society. The traditional topics such as population policy, fertility, mortality, and migration were popular before. Labor force, nuptiality, family, aging, regional studies are found to be more popular themes of research recently. Reflecting academic and social demands, KJPS has a broaden range of authors, such as professor, researcher, a government employee, post-doc, and graduate students. The articles written by those working in universities have increased continuously, while research outputs of research institutes have decreased recently. The data for analysis used in articles are varied from but concentrated in some materials - census, vital statistics and various survey data. In early years of KJPS, relatively simple techniques of analysis were adopted in the majority of articles. However, more sophisticated techniques including applied regression analysis, logistic analysis and analysis of survival ratio turn out to be more popular recently. Finally, several suggestions for the future research are presented in this paper.