• Journal of Research and Publication Ethics
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• v.2 no.1
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• pp.19-24
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• 2021

Purpose: The purpose of this study is to check the direction of KODISA's pursuit of complex and convergence studies by confirming the research trends of KODISA's direct academic journals such as JDS, JIDB, JBEES and JAFEB. To this end, we tried to compare and confirm the research trends of the papers in four academic journals targeting keywords. Research Design, data and methodology: The analysis was conducted from 2014 to 2020 on 867 papers from JDS, 315 papers from JIDB, 120 papers from JBEES, and 867 papers based on the publication year of the most recently published journal from JAFEB. For the analysis, frequency analysis, word crowding, topic modeling, and frequency analysis by applying weights for each year group were performed on the keywords crawled using Python. Results: The results of frequency analysis showed that each journal is properly oriented toward its target direction. In addition, it was confirmed that the results of topic modeling significantly reflected the results of frequency analysis. Finally, it could be concluded that the results of frequency analysis using the weights of keywords by year group were also developing in the direction the target journals were analyzed. Specifically, in the case of JDS, 20 keywords such as Service Quality, Distribution were found to increase continuously according to the year group. Meanwhile, the keywords that continued to increase according to JIDB's year group were India, Social Capital, and Job Stress. The keywords that continued to increase according to the year group of JBEES were Micro Finance Institutions and Microfinance, and the keywords that of JAFEB were confirmed to be Vietnam and Service Quality. Conclusion: It was confirmed that KODISA's direct management journals responded appropriately to convergence issues. In particular, it was confirmed that researches in various fields of JDS are continuously increasing. However, it seems that JIDB needs to deal with various issues additionally in the service industry field and JBEES in the environment field. Finally, it was found that JAFEB needs to be wary of the relatively low level of interest in some countries such as Kazakhstan and India in recent years.

• Journal of Fashion Business
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• v.26 no.3
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• pp.138-154
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• 2022

The purpose of this study is to identify the characteristics of domestic American casual fashion trends using big data text mining analysis. 108,524 posts and 2,038,999 extracted keywords from Naver and Daum related to American casual fashion in the past 5 years were collected and refined by the Textom program, and frequency analysis, word cloud, N-gram, centrality analysis, and CONCOR analysis were performed. The frequency analysis, 'vintage', 'style', 'daily look', 'coordination', 'workwear', 'men's wear' appeared as the main keywords. The main nationality of the representative brands was Japanese, followed by American, Korean, and others. As a result of the CONCOR analysis, four clusters were derived: "general American casual trend", "vintage taste", "direct sales mania", and "American styling". This study results showed that Japanese American casual clothes are influenced by American casual clothes, and American casual fashion in Korea, which has been reinterpreted, is completed with various coordination and creative styles such as workwear, street, military, classic, etc., focusing on items and brands. Looks were worn and shared on social networks, and the existence of an active consumer group and market potential to obtain genuine products, ranging from second-hand transactions for limited edition vintages to individual transactions were also confirmed. The significance of this study is that it presented the characteristics of American casual fashion trends academically based on online text data that the public actually uses because it has been spread by the public.

• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.2 s.161
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• pp.217-224
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• 2007

This paper investigated spring/summer fabric trends of women's and analyzed the correlation between the fabric trends and finishing for 10 years (1995 S/S-2004 S/S). Fabric trend terms were selected from 5 fashion journals and were grouped by hierarchical cluster analysis using SPSS 12.0 statistical package. Also, finishing terms were selected and analyzed by frequency. The results showed that 13 representative fabric trend terms were clean, functional, lustrous, compact, rubbery, comfortable, chic, romantic, decorative, natural, fluid, textured, and ethnic trend. In terms of fabric finishing, 12 representative finishing were selected such as coating, calendaring, wrinkle finishing, decorative finishing, quilting, and washing. Finally, in respect of the analysis of fabric trends and finishing, washing and embroidery were used to represent ethnic trends and textured fabric was closely correlated wrinkle and decorative finishing. Fluid fabrics were expressed via wrinkle and coating and washing and wrinkle were used for natural feeling. Decorative fabric was expressed by embroidery and coating and decorative finishing were frequently used to show romantic and chic fabric. Also comfortable fabrics were correlated with easy care and rubbery, compact, lustrous, and clean fabrics were correlated with coating.

• KIEAE Journal
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• v.7 no.2
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• pp.77-85
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• 2007

Korean society expects to be changing into aged society more rapidly than any other countries due to low birthrate and increase in life expectancy. Increasing number of elderly and social problems of aging society have provoked increase in research on elderly environment. Elderly housing facilities and living conditions are significantly related to the quality of life for older persons. The purpose of this study is to systematically analyze empirical studies on elderly physical environments in Korea, find out research streaming and understand social backgrounds and to suggest future research problems. For this study, contents analysis was conducted. Articles of four academic peer reviewed journals published from 1986 to 2005 were units of analysis. Using a keyword through library database systems, the articles were systematically selected. As results, trends of research according to 4 periods were defined. Among them as major trends, expansion of the quantity, expansion to interior design features for older persons, more facility types for dependent elderly(assisted living facilities, facilities for elderly with dementia, long term care facilities) have appeared. This result showed some directions and implications on elderly facility planning and development.

• Journal of Korea Society of Industrial Information Systems
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• v.23 no.3
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• pp.87-95
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• 2018

Recently, with the technological development of artificial intelligence, related market is expanding rapidly. In the artificial intelligence technology field, which is still in the early stage but still expanding, it is important to reduce uncertainty about research direction and investment field. Therefore, this study examined technology trends using text mining and topic modeling among big data analysis methods and suggested trends of core technology and future growth potential. We hope that the results of this study will provide researchers with an understanding of artificial intelligence technology trends and new implications for future research directions.

• Journal of the Korean Society for information Management
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• v.32 no.3
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• pp.69-97
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• 2015

This study aims to analyse the research areas and trends of reading (reading instruction) abroad in the respect of LIS, and suggest future research tasks. First, I reviewed the controlled keywords in SU field of LISTA database and the entries of DDC 23, and identified the research areas of reading and reading instruction in overseas. Second, I analysed the research trends of this field by applying a intellectual structure analysis on 2,115 research articles (1914~2014) retrieved from a representative database in the areas of Library and Information Science (LISTA). Third, Based on the results of these analysis, I suggested the future research tasks of this field in the domain of library and information science.

• Journal of The Korean Association For Science Education
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• v.9 no.1
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• pp.69-74
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• 1989

For the advancement of research in biological education in Korea, research trends shown in Journal of Biological Education(JBE)of England were analyzed by using a PC program(REFMENU). Papers Published in JBE between 1977 and 1987 were registered on the program with classifying keys of biological education and biology including names of authors, year, title, volume pages, and key words. Those input-date were analyzed by sorting depend-ing on either the classifying keys or the key words. Among the 361 papers 28.8% was dealing with the theory of science education. The rest dealt with biology and biological education, together. Of the six categories of biological education, the research on biological curriculum was 41 % of total and was the most. The major trends in this category was in developing the content of the curriculum. In the research of biological instruction, 37 papers dealt with the instruction theory and the rest 60 papers dealt with the tactics of Instruction. Of the 60 papers on materials in biological education, the research in developing the biological material was the most. Thus, the general research trend was far more practical aspect than the theoretical aspect of biological education. In the analysis of the papers depending on the biological categories, the one dealt with ecology was the most(26.8%). The rest papers showed almost even distribution in the 13 categories of biology. The results of this analysis was discussed by comparing with the research trends in Korea to suggest the possible future studies.

• Journal of Korea Multimedia Society
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• v.19 no.7
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• pp.1107-1115
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• 2016

Efficient Market Hypothesis (EMH), states that at any point in time in a liquid market security prices fully reflect all available information. This paper presents a study of proving the hypothesis through daily Twitter sentiments using the hybrid approach of the lexicon-based approach and the naïve Bayes classifier. In this research we analyze the currency exchange rate movement of Indonesia Rupiah vs US dollar as a way of testing the Efficient Market Hypothesis. In order to find a correlation between the prediction sentiments from Twitter data and the actual currency exchange rate trends we collect Twitter data every day and compute the overall sentiment to label them as positive or negative. Experimental results have shown 69% correct prediction of sentiment analysis and 65.7% correlation with positive sentiments. This implies that EMH is semi-strong Efficient Market Hypothesis, and that public information provide by Twitter sentiment correlate with changes in the exchange market trends.

• The Journal of the Korea Contents Association
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• v.10 no.4
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• pp.433-437
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• 2010

Patent contains meaningful technical achievement. There are many cases explaining technology trends from the analysis of frequency of term. Term sometimes has different meaning on fields. In this paper, words from patent titles of US, Japan, Korea PCT and EPO are collected by the 5 categories of WIPO. Frequency changes rate of each word were calculated and high ranked words of 5 categories were analyzed to find relationship between patent and technology development as well as technology trends.

• Journal of Home Health Care Nursing
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• v.27 no.2
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• pp.210-218
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• 2020

Purpose: The purpose of this study was to analyze research trends, using the keyword home health care, in articles published in the Journal of Korean Academic Society of Home Health Care Nursing over the past 10 years. Methods: An analysis was conducted of 50 home health care-based studies chosen from among the 206 studies published in the Journal of Korean Academic Society of Home Health Care Nursing from 2010 to 2019. The analysis focused on research methodology and keyword. Descriptive statistics were used to examine the frequency distribution of research methods and keywords. Results: Study participation was mainly focused on nurses (52.0%). Most of the studies used quantitative methods (96.0%), and 43 studies (86.0%) used self-report structured questionnaires. The most commonly used data analyses methods were descriptive statistics, t-test, analysis of variance, correlation, and regression. Major keywords were home health nursing, elderly care facility, visiting nurse, home care service, home healthcare nurse, home care agencies, long-term care, and home care. Conclusion: The results of this study identified current trends and interests in the Journal of Korean Academic Society of Home Health Care Nursing. This study suggests that future studies include a variety of research methods and maintain appropriate standards of research ethics.