• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.99-100
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• 2018

Citation of academic research papers is a very important result for academic researchers, and their utilization is becoming an important evaluation factor. Most papers are composed of authors' keywords. However, there may be some papers with little relevance between the textual content and the presented keywords. Therefore, it is necessary to extract and present important keywords through objective methods for titles and abstracts of theses. In this paper, we present the development results of important keywords through data visualization for academic research papers.

• Korean journal of food and cookery science
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• v.25 no.5
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• pp.606-618
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• 2009

The purpose of this study was to analyze research trends in scholarly journals that were related to the globalization of Korean food and to provide information on the future of these trends such as various creative subject selection and research methods. 70 papers pertaining to Korean food research, such as academic journals expected to be registered, and national-scale academic papers, were selected. This research was conducted from April 6 to April 22. 2009. The results of this study were as the follows: First, most of the papers, 20(28.6%), were published in the journal of Korean journal of food culture. In addition, most articles had a single author, 24(34.3%). In regard to the profession of the auther, university professor was the most frequent profession, 127 persons(68.3%). In terms of the research subjects, preference was the most dominant preference(19.2%). Investigatory research was the most frequent research method, 58 papers(82.9%). Furthermore, foreigners and natives were the most dominant research objects, 21 papers(30.0%). As for the analysis methods, frequency analysis, one-way ANOVA, T-test, reliability analysis, and factor analysis were used the most in that order. Future studies should includ papers for master's degrees and doctorial degrees.

• Journal of Korean Academy of Nursing Administration
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• v.7 no.3
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• pp.561-569
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• 2001

This study was designed to analyze all the papers that were in the Journal of the Korean Nursing Administration Academic Society from the first publication edition (1995) to 2000. Analyses methods are research designs, data collection methods, research subjects and key words. all papers were 145. The results of the study are as follows : First, research designs, nonexperimentals are 106 papers, experimentals are 9, qualitatives are 9 papers. Research subjects that all subjects in each paper were accepted are as follows, hospital staffs including nurses, doctors, and other employees are 115 paper(59.28%), adults including patient's family, medical, nursing students are 44 papers(22.68%), informatic systems including medical record sheets, database, and management system are 8 papers(4.12%), others including country, literature, researches are 21 papers(10.82%). Second, data collection methods that all methods in each paper were accepted that questionnaires are 93 papers(57.76%), interviews are 13 papers(8.07%), observations are 10 papers(6.21%), scale & psycholgical are 8 papers(4.97%), and self-reportings are 6 papers(3.73%), etc. Conclusion : Even though research topics are various, the fields of informatics and financial management are poor. Therefore studying for those fields and its practical implication are needed.

• The Journal of the Korea Contents Association
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• v.20 no.2
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• pp.689-699
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• 2020

The National Science and Technology Information Center (NDSL) database, which provides academic papers at home and abroad, collects, builds, and manages data collected from various sources. In this study, we analyzed the DB paper schema and DB metadata that are currently constructed and managed to derive an integrated DB schema that can manage the high-value-added papers and manage them efficiently by analyzing distributed DB papers. Also, the final academic information data items were determined through comparison and analysis using the Web of Science and SCOPUS schemas that are currently purchased and possessed. The academic information data items constructed and serviced through this study were summarized into seven papers, authors, abstracts, institutions, themes, journals, and references, and defined as core contents under construction. The integrated DB schema was created through this study, and the results of this study will be used as a basis for constructing the integrated DB collection of high quality academic papers and designing the integrated system.

• The Journal of the Korea Contents Association
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• v.21 no.11
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• pp.426-435
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• 2021

This study aims to functionally classify lexical bundles appearing in academic papers on nuclear science and engineering written in English and then analyze the lexical bundles' characteristics compared to those appearing in general academic papers. To this end, the texts of nuclear science and engineering papers were collected and produced as a corpus(c. 1 mil. tokens). Then they were statistically compared through Chi-square tests and standardized residuals with the corpus of general academic papers(c. 750,000 tokens). The results revealed that, compared to general academic papers, the bundles in the stance lexical bundle category were mainly used among the functional lexical bundle in nuclear science and engineering. The use of the lexical bundles lacked much variety. The same type of lexical bundles was 're-used' and 'recycled'. Based on these research results, educational implications for English for Academic Purposes and the further direction of follow-up research were discussed and suggested.

• Perspectives in Nursing Science
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• v.16 no.1
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• pp.12-24
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• 2019

Purpose: This study examined the suitability of using text network analysis (TNA) methodology for topic analysis of academic papers related to nursing. Methods: TNA background theories, software programs, and research processes have been described in this paper. Additionally, the research methodology that applied TNA to the topic analysis of the academic nursing papers was analyzed. Results: As background theories for the study, we explained information theory, word co-occurrence analysis, graph theory, network theory, and social network analysis. The TNA procedure was described as follows: 1) collection of academic articles, 2) text extraction, 3) preprocessing, 4) generation of word co-occurrence matrices, 5) social network analysis, and 6) interpretation and discussion. Conclusion: TNA using author-keywords has several advantages. It can utilize recognized terms such as MeSH headings or terms chosen by professionals, and it saves time and effort. Additionally, the study emphasizes the necessity of developing a sophisticated research design that explores nursing research trends in a multidimensional method by applying TNA methodology.

• Journal of the Daesoon Academy of Sciences
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• v.20
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• pp.25-66
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• 2009

This paper checked the trend of exiting researches on Jeungsan's thought and investigated the academic problems of Daesun's thought as an basic work to form the deep academic discussions on Daesun's thought. Grouping into the scriptures of Jeungsangyo, its theses and papers, I synthesized the present state of researches. In the case of papers, I divided into three periods, before 1990, 1990s' and after 2000. Grouping into three fields, the periods, the researchers and the themes, I investigated the characteristics of the researches of Jeungsan's thought through the main scriptures, theses and papers, and reports of actual state. In conclusion, I brought up the ten problems about academic questions of Daesun's thought.

• Journal of the Korean Society for Library and Information Science
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• v.56 no.4
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• pp.473-490
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• 2022

This study was conducted to examine Sci-Hub, which provides the original text of academic papers to be provided for a fee by bypassing copyright, and to establish a basic basis for understanding the usage behavior of researchers with access restriction in Korea by analyzing the domestic Sci-Hub usage based on the dataset released by Sci-Hub in 2017. Therefore, after grasping the current status of the world related to Sci-Hub, the categories were set and analyzed by region where the dataset was downloaded, subject matter of academic papers, publisher, OA status, and published year. As a result of the study, the most downloaded areas were Seoul and the metropolitan area, and papers and journals in the field of natural science were downloaded the most, and about 20% of papers were in Open Access state. The papers published between 2010 and 2017 were the most downloaded, and IEEE's papers were the most downloaded, showing that recently published academic papers in the natural sciences were the most downloaded by the time they were downloaded.

• Fashion & Textile Research Journal
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• v.24 no.5
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• pp.636-646
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• 2022

This study attempted to investigate the research trend of MLD studies which were issued from 2001 to March 2022 by research period/area/method/purpose through the analysis of academic theses and journals and use the results for the growth and of MLD. The study results found the followings: First, in terms of the results by research period, a total of 84 academic papers and journals were published: Phase 1 (15), Phase 2 (47), Phase 3 (22). Second, when analyzed by research area, 'cosmetology' was the highest with 19 papers in terms of the number of studies. In fact, the field of study accounted for the largest portion in all three phases. Third, when analyzed by research method, quantitative research showed the largest percentage in all three phases. Fourth, when analyzed by research purpose, a practical approach was dominant with 81 papers out of the total number of 84 (3 papers in theoretical approach). Concerning a domestic MLD-related research trend, it is an essential step for MLD study establishment and qualitative improvements. Such research analysis of MLD studies is meaningful in that it has not been attempted before. In addition, it is anticipated that the study results would be helpful in searching a direction for the academic growth and development of MLD.

• The Journal of Economics, Marketing and Management
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• v.10 no.6
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• pp.1-7
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• 2022

Purpose: The purpose of this study is identifying the research trends of degree papers related to the beauty industry and providing information which can contribute to the development of the domestic beauty industry and the direction of various research about beauty industry. Research design, data and methodology: This study used 154 academic papers and 189 academic papers with English abstracts out of 299 academic papers. All of these papers were found by searching for the keyword "beauty industry" in ScienceON on August 15, 2022. For the analysis, BERTopic and LDA (Latent Dirichlet Allocation) analysis were conducted using Python 3.7. Also, OLS regression analysis was conducted to understand the annual increase and decrease trend of each topic derived with trend analysis. Results: As a result of word frequency analysis, the frequency of satisfaction, management, behavior, and service was found to be high. In addition, it was found that 'service', 'satisfaction' and 'customer' were frequently associated with program and relationship in the word co-occurrence frequency analysis. As a result of topic modeling, six topics were derived: 'Beauty shop', 'Health education', 'Cosmetics', 'Customer satisfaction', 'Beauty education', and 'Beauty business'. The trend analysis result of each topic confirmed that 'Beauty education' and 'Health education' are getting more attention as time goes by. Conclusions: The future studies must resolve the extreme polarization between the structure of the small beauty industry and beauty stores. Furthermore, the researches have to direct various ways to create the performance of internal personnel. The ways to maximize product capabilities such as competitive cosmetics and brands are also needed attentions.