• Journal of the Korean Society for Library and Information Science
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• v.49 no.3
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• pp.457-488
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• 2015

In this study, we analyzed the current research state of Library and Information science in top 20 journals from 1990 to 2015, in subject and method perspectives. We developed weighted subject-method network to investigate on centralities of a subject and a method as well as their relations. This network is composed of subject nodes and method nodes and gives a weight on each node by topic occurrence. As a result, for 25 years, management information system, information need analysis, bibliometrics, information policy were top topics. Modeling, literature review, scientific research impact analysis, web data analysis were top methods. A recent rise of text mining is highlighted. We also analyzed communities made from the past 25 years and the recent 5 years. Bibliometrics is extending its field by applying various network analyzing algorithms. Text mining is specialized in medical information system and user interface. This result identifies the interests of excellent studies in Library and Information Science. It also can be fundamental resource for the development of Library and Information Science.

• Journal of the Korean Society for Computer Game
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• v.31 no.4
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• pp.101-110
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• 2018

This thesis analyzed the correlation between the psychological characteristics of adolescents and the use of games in the first year students of the national high school in 2016. The game is one of the representative entertainment industries in Korea and is an industry that has a great influence on becoming a powerhouse as cultural contents. However, games and immersion are expressed as a negative vocabulary of game addiction and are referred to as social problems and youth problems, and they give negative perception to the content of games. All users have the right to enjoy the content, but only negative words are used in poisonous games and they are packed as if they are social problems. In the present study, many emotional problems that were derived from previous studies were not related to game use in general adolescents. Through the questions related to 'depression', students who are not motivated or energy. The results of this study are as follows. First, the positive effects of game and youth emotional problems were derived through the conclusion that students who are active and emotionally bright are more likely to use game contents. This study was conducted to help change the social perception of the game positively by breaking the social fixed point of view that the emotionally troubled adolescents engage with the game and cause social problems.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.4
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• pp.430-440
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• 2021

The purpose of this study was to analyze the degree of depression, cognitive function, communication ability, and the quantitative electroencephalogram (EEG) in elderly individuals with hearing loss and to investigate their inter-relationship. Hearing-impaired elderly participants, aged 60 years or older (37 men and 26 women) who visited the S Hearing Rehabilitation Center in Y City from June 20, 2020, to September 3, 2020, participated voluntarily after a recruitment announcement.The participants' overall characteristics, depression, and cognitive functions were evaluated with a structured questionnaire. The Word Recognition Score (WRS) was evaluated with an audiometer using the Korean Standard Monosyllabic Word Lists for Adults (KS-MWL-A). The quantitative EEG was measured with dry electrodes using a 2-channel EEG on the frontal lobes Fp1 and Fp2. The results are summarized as follows: Communication ability showed a positive correlation with the left-right symmetry of the frontal lobes (**p<.01) and a negative correlation with right-brain mental distraction and stress (*p<.05). In the difference WRS test for each group, the left-right symmetry of the frontal lobes (**p<.01) showed the greatest correlation with communication ability. Our results suggest that the left-right symmetry of the frontal lobes can be a biomarker indicative of the communication ability of older people with hearing impairments.

• Cross-Cultural Studies
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• v.47
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• pp.241-260
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• 2017

A multitude of neologisms has entered the lexicon of modern Chinese society as a reflection of the changes modern Chinese society has undergone, and amid this trend, a variety of color terms has emerged. However, these neologisms of color terms in modern Chinese society are used somewhat differently from their roots. First, the achromatic color terms used in Chinese neologisms include black, white, and gray. The significance criteria generally used in these neologisms of color terms only partially express their meaning in the modern Chinese language. Second, the frequency usage of significant criteria of color terms that have emerged in Chinese neologisms reveals a relative distribution between color terms referring to black and white. The color term "black" is the most active neologism to connote its expanded meaning, followed by its basic meaning. However, the color term "white" is most actively used to connote its basic meaning, followed by its expanded meaning. Third, among the achromatic color terms used in Chinese neologisms, black and gray exhibit expansion of meaning. For example, in the context of neologisms, the color term "black" is used to symbolize "in disaster areas" and "socially discriminated against," while "gray" is used to symbolize the "social aspect."

• Journal of International Area Studies (JIAS)
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• v.22 no.1
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• pp.161-202
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• 2018

The purpose of this study is to analyze the ex-post evaluation reports of KOICA's grant aid project in terms of criteria, methods, and contents. To this end, we will examine the evaluation history and process with particular reference to EDCF and KOICA. Our key research questions are: 1) How are the evaluation standards of the OECD DAC reflected in the KOICA ex-post evaluation reports? 2) Whether did Korea's practices of development evaluation change after its entry into the OECD DAC. The paper attempted an content analysis on the key words used in findings and recommendation section of the reports since 1998 that ara available on the website of KOICA. The main results can be summarized as follows. First, the frequency of OECD DAC criteria(relevance, efficiency, effectiveness, impact, sustainability) and the use of quantitative methods have been increasing after joining the OECD DAC. Second, in the ex-post evaluation reports issued after 2010, the reference indices including the Project Design Matrix (PDM), baseline data, and performance have increased exponentially.

• Journal of the Korean Society for Library and Information Science
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• v.55 no.1
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• pp.393-413
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• 2021

Digital humanities, which creates new and innovative knowledge through the combination of digital information technology and humanities research problems, can be seen as a representative multidisciplinary field of study. To investigate the intellectual structure of the digital humanities field, a network analysis of authors and keywords co-word was performed on a total of 441 papers in the last two years (2019, 2020) at the Digital Humanities Conference. As the results of the author and keyword analysis show, we can find out the active activities of Europe, North America, and Japanese and Chinese authors in East Asia. Through the co-author network, 11 dis-connected sub-networks are identified, which can be seen as a result of closed co-authoring activities. Through keyword analysis, 16 sub-subject areas are identified, which are machine learning, pedagogy, metadata, topic modeling, stylometry, cultural heritage, network, digital archive, natural language processing, digital library, twitter, drama, big data, neural network, virtual reality, and ethics. This results imply that a diver variety of digital information technologies are playing a major role in the digital humanities. In addition, keywords with high frequency can be classified into humanities-based keywords, digital information technology-based keywords, and convergence keywords. The dynamics of the growth and development of digital humanities can represented in these combinations of keywords.

• Journal of the Korea Society for Simulation
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• v.31 no.3
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• pp.35-44
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• 2022

In this study, we analyze and forecast quantum computer technology trends. Previous research has been mainly focused on application fields centered on technology for quantum computer technology trends analysis. Therefore, this paper analyzes important quantum computer technologies and performs future signal detection and prediction, for a more market driven technical analysis and prediction. As analyzing words used in news articles to identify rapidly changing market changes and public interest. This paper extends conference presentation of Cha & Chang (2022). The research is conducted by collecting domestic news articles from 2019 to 2021. First, we organize the main keywords through text mining. Next, we explore future quantum computer technologies through analysis of Term Frequency - Inverse Document Frequency(TF-IDF), Key Issue Map(KIM), and Key Emergence Map (KEM). Finally, the relationship between future technologies and supply and demand is identified through random forests, decision trees, and correlation analysis. As results of the study, the interest in artificial intelligence was the highest in frequency analysis, keyword diffusion and visibility analysis. In terms of cyber-security, the rate of mention in news articles is getting overwhelmingly higher than that of other technologies. Quantum communication, resistant cryptography, and augmented reality also showed a high rate of increase in interest. These results show that the expectation is high for applying trend technology in the market. The results of this study can be applied to identifying areas of interest in the quantum computer market and establishing a response system related to technology investment.

• Knowledge Management Research
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• v.23 no.3
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• pp.129-152
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• 2022

As a key infrastructure for digital transformation, the spread of data, network, artificial intelligence (D.N.A.) fields and the emergence of promising industries are laying the groundwork for active digital innovation throughout the economy. In this study, by applying the text mining methodology, major topics were derived by using the abstract, publication year, and research field of the study corresponding to the SCIE, SSCI, and A&HCI indexes of the WoS database as input variables. First, main keywords were identified through TF and TF-IDF analysis based on word appearance frequency, and then topic modeling was performed using g-DMR. With the advantage of the topic model that can utilize various types of variables as meta information, it was possible to properly explore the meaning beyond simply deriving a topic. According to the analysis results, topics such as business intelligence, manufacturing production systems, service value creation, telemedicine, and digital education were identified as major research topics in digital transformation. To summarize the results of topic modeling, 1) research on business intelligence has been actively conducted in all areas after COVID-19, and 2) issues such as intelligent manufacturing solutions and metaverses have emerged in the manufacturing field. It has been confirmed that the topic of production systems is receiving attention once again. Finally, 3) Although the topic itself can be viewed separately in terms of technology and service, it was found that it is undesirable to interpret it separately because a number of studies comprehensively deal with various services applied by combining the relevant technologies.

• Journal of Digital Convergence
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• v.19 no.5
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• pp.343-352
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• 2021

The purpose of this article is to study the negative factors reflected in the will and the factors of well aging as an alternative. The survey data was 36 wills published in the media such as newspapers and broadcasting between 2008 and 2020. As a result, various aspects of negative factors were found in youth wills between the ages of 13 and 34. In middle-aged wills between the ages of 35 and 49, female was not found. The negative factors in the socio-economic aspects were remarkable in the wills of adulthood between the ages of 50 and 64. All the writers of wills over the age of 65 were women, and their writings were strongly linked to the spiritual side. In view of these results, the will explored in this study can paradoxically become a proposal for a complete life. The will is a record with the potential of well aging. Sources of the suicide note included daily newspaper, broadcasting and local media. This study analyse the age and gender and the negative factors reflected in the will, by using the physical aspect, the mental aspect, and the socio-economic aspect as the methodology. In addition, the frequency of words and expressions exposed in the will were analyzed and keywords were created in word cloud.

• Journal of Internet of Things and Convergence
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• v.8 no.4
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• pp.25-40
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• 2022

This study aimed to understand the increasing number of elder abuses in South Korea, where entry into the super-aged society is imminent, by implementing text mining analysis. Korean Academic journals were obtained from 2004, the establishment year of the senior care agency, to 2021. We performed natural language processing of the titles, keywords, and abstracts and divided them into three segments of periods to identify latent meanings in the data. The results illustrated that the first section included 81 papers, the second 64, and the third 104 respectively, averaging 13.8 annually, which increased its numbers from 2014 until the decrease below the annual average in 2020. Word frequency demonstrated that the common keywords of the entire segments were 'elder abuse,' 'elders,' 'influences,' 'factors,' 'recognition,' 'family,' 'society,' 'prevention plans,' 'experiences,' 'abused elders,' 'abuse prevention,' 'depression,' etc., in consecutive order. TF-IDF indicated that 'influences,' 'recognition,' 'society,' 'prevention plans,' 'abuse prevention,' 'experiences,' 'depression,' etc., were the common keywords of all divisions. Network text analysis displayed that the commonly represented keywords were 'elder abuse,' 'elders,' 'influences,' 'factors,' 'characteristics,' 'recognition,' 'family,' 'prevention plans,' 'society,' 'abuse prevention,' and 'experiences' in the entire sections. concor analysis presented that the first segment consisted of 5 groups, the second 7, and the third 6. We suggest future directions for elder abuse research based on the results.