• Journal of Industrial Convergence
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• v.20 no.6
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• pp.27-35
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• 2022

The purpose of this study is to analyze the metaverse-related issues in the news big data from an educational perspective, explore their characteristics, and provide implications for the educational applicability of the metaverse and future education. To this end, 41,366 cases of metaverse-related data searched on portal sites were collected, and weight values of all extracted keywords were calculated and ranked using TF-IDF, a representative term weight model, and then word cloud visualization analysis was performed. In addition, major topics were analyzed using topic modeling(LDA), a sophisticated probability-based text mining technique. As a result of the study, topics such as platform industry, future talent, and extension in technology were derived as core issues of the metaverse from an educational perspective. In addition, as a result of performing secondary data analysis under three key themes of technology, job, and education, it was found that metaverse has issues related to education platform innovation, future job innovation, and future competency innovation in future education. This study is meaningful in that it analyzes a vast amount of news big data in stages to draw issues from an education perspective and provide implications for future education.

• Journal of the Korean Society of Marine Environment & Safety
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• v.27 no.7
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• pp.954-966
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• 2021

With regards to the marine spatial plannings of the world, the spaces are being managed through the integration of various uses and the establishment of systems and laws in the perspective of the utilization of spaces. In the perspective of policy establishment, the policy readiness level is applied to analyze the trends in the studies on South Korea's marine spatial plans. The scope of the study included analyzing marine spatial plan as a keyword in articles published over the period from 2010 to 2020. The methods of analysis included the analyses of the frequency of word appearance, word clouds, and appearance intensity, which were used to identify key issues. Five keywords that were related to the topics were identified, and were again used to identify the key themes. The core themes were changing in all phases, such as the principles development phase, institutionalization phase, policy verification phase. For future benefit, this requires more research in South Korean public organizations and universities.

• Korean Journal of Culture and Social Issue
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• v.29 no.1
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• pp.147-170
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• 2023

This study explored keywords and key topics by collecting posts related to 'self-Iinjury' and 'suicide' through Twitter. The study subjects were selected as posts containing related hashtags related to self-injury and suicide from October 29, 2019 to November 30, 2020. Text mining based on collected posts resulted in a total of 11 key topics: -6 related to 'self-Iinjury' and 5 related to 'suicide'. The main message in the topic is as follows. First, looking at the main messages contained in the topic, they honestly expressed self-harm and suicide experiences that are difficult to express offline online, and used SNS as a channelpath for requesting help requests. Second, there were common and discriminatory characteristics in posts related to 'self-Iinjury' and 'suicide'. Although topics related to 'self-Iinjury' mainly revealed emotional control and interpersonal functions of self-harm, messages related to 'suicide' showed more clearly messages about suicide prevention addressing and social problems. These results are meaningful in that they can understand the opinions of people who have experienced self-harm and suicide accidents and the public voice on self-harm and suicide-related issues could be better understood, and that this study seeks for effective self-harm and suicide prevention and intervention measures for self-harm and suicide issues.

• Journal of Korea Water Resources Association
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• v.55 no.spc1
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• pp.1235-1249
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• 2022

This study applied the web crawling technique for extracting big data news on water quality accidents in the water supply system and presented the algorithm in a procedural way to obtain accurate water quality accident news. In addition, in the case of a large-scale water quality accident, development patterns such as accident recognition, accident spread, accident response, and accident resolution appear according to the occurrence of an accident. That is, the analysis of the development of water quality accidents through key keywords and sentiment analysis for each stage was carried out in detail based on case studies, and the meanings were analyzed and derived. The proposed methodology was applied to the larval accident period of Incheon Metropolitan City in 2020 and analyzed. As a result, in a situation where the disclosure of information that directly affects consumers, such as water quality accidents, is restricted, the tone of news articles and media reports about water quality accidents with long-term damage in the event of an accident and the degree of consumer pride clearly change over time. could check This suggests the need to prepare consumer-centered policies to increase consumer positivity, although rapid restoration of facilities is very important for the development of water quality accidents from the supplier's point of view.

• Journal of the Korea Society for Simulation
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• v.32 no.1
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• pp.35-44
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• 2023

In recent, there are many research cases that analyze trends or research trends with text analysis. When collecting documents by searching for keywords in abbreviations for data analysis, it is necessary to disambiguate abbreviations. In many studies, documents are classified by hand-work reading the data one by one to find the data necessary for the study. Most of the studies to disambiguate abbreviations are studies that clarify the meaning of words and use supervised learning. The previous method to disambiguate abbreviation is not suitable for classification studies of documents looking for research data from abbreviation search documents, and related studies are also insufficient. This paper proposes a method of semi-automatically classifying documents collected by abbreviations by going topic modeling with Non-Negative Matrix Factorization, an unsupervised learning method, in the data pre-processing step. To verify the proposed method, papers were collected from academic DB with the abbreviation 'MSA'. The proposed method found 316 papers related to Micro Services Architecture in 1,401 papers. The document classification accuracy of the proposed method was measured at 92.36%. It is expected that the proposed method can reduce the researcher's time and cost due to hand work.

• Journal of the Korean Society for information Management
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• v.41 no.2
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• pp.295-316
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• 2024

Analyzing research trends is essential for the sustainable development of a discipline and is important for understanding the value of prior research and laying the groundwork for subsequent research. This study aims to draw implications for the future direction of convergence research on the disclosure of information from various disciplines by comparing and analyzing the trends in disclosure of information research in Korea. For this purpose, we analyzed the publication frequency of information disclosure papers listed in the Korea Citation Index (KCI) from 2002 to 2023 and the publication trend by discipline as a time series. In addition, we compared the keyword relationships and specialized research topics of each discipline by applying network analysis and LDA topic modeling techniques to the names and keywords of papers in law, public administration, and library and information science. As a result of the analysis, the law focuses on legal regulations and policy improvement, public administration focuses on changing social needs and administrative operation methods, and LIS focuses on practical approaches to record management and disclosure of information. Based on this, future research directions include combining policy research in law with social change research in public administration and developing realistic policies and operational guidelines from the practical perspective of LIS. Such convergent research will enable the systematic and efficient implementation of disclosure of information systems, contributing to the guarantee of the public's right to know and the enhancement of state transparency.

• The Journal of the Korea Contents Association
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• v.20 no.11
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• pp.110-118
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• 2020

Social media data serves as a proxy indicator to understand the problems and the future of public opinion in Korean society. This research used 109,015 news data from 2016 to 2018 to analyze the sensitivity of the elderly and employment in Korean society, and explored the possibility of expanding the labor force in Korean society, which is facing a cliff between the elderly and the population. Topic keywords for employment of the elderly include "elderly*employment", "elderly*employment", and "elderly*wage". As a result of the analysis, positive sensitivity prevails for most of the period, and it is possible to expand the working-age population. Positive feelings about expanding employment opportunities for the elderly and negative feelings about low wages have brought to light the reality of the elderly who are still poor despite their work. In this study, social big data was used to analyze the perceptions and sensibilities of Korean society related to the elderly and employment through hierarchical crowd analysis and related text mining analysis.

• Journal of Acupuncture Research
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• v.33 no.2
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• pp.109-116
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• 2016

Objectives : Our primary objective lies in understanding the current landscape of translational research on acupuncture, moxibustion and pharmacopuncture. Methods : We searched our own selection of keywords of acupuncture, moxibustion and pharmacopuncture and translational research from three overseas databases (Pubmed, Scopus, Medicine) and four domestic databases (DBpia, KISS, Riss4u, Korea Med). Results : We have chosen 41 articles in total-40 articles on acupunture, 6 article on moxibustion(5 articles were duplicated in use in each category). Origin-wise, 48.8 %/24.8 %/17.0 % of our articles pool came from USA/China/Korea, respectively. UK, Austria, Thailand and Italy contributed the rest of our article pool. For those articles written in USA and China, review articles were the most common type. For the US articles, all 10 review articles were non-systematic reviews, while, for China's contribution, one out of 4 review articles were systematic review. Type-wise, our research pool's breakdown is as follows ; 17 review articles, 11 experimental research, 2 randomized controlled trials(RCT), 1 clinical trial, 4 conference reports, 1 letter, 1 study protocol and 4 uncategorized. Topic-wise, brain-neurology was most frequently referred with 8 articles, followed by parkinson's disease (3 articles) and epilepsy (2 articles). Conclusion : 1. In terms of research submission articles, Korea appears to be lacking translational research on acupuncture, moxibustion and pharmacopuncture, compared to USA and China, in our view. 2. Unlike the cases of USA and China, most of Korean translational research is limited to doing a T1 level of translational research. In order to bring bench-to-bedside to light. we believe, there should be more studies, and thereby a certain level of activation, to the T2 level of translational research in Korea. 3. Further, in our view there should be more efforts to improve article quality at the T1 level of translational research, which eventually becomes the fundamentals of the next level of research (i.e. T2 research), as well as to increase the number of research submissions, going forward.

• Journal of Acupuncture Research
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• v.34 no.3
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• pp.13-21
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• 2017

Objectives : The purpose of this study was to investigate the effect of acupuncture treatment (AT) in the tendency of increase of the need for AT for the treatment of Parkinson's disease (PD) worldwide and to investigate the advancements in AT research in Korea and the future directions of research on this topic. Methods : Until May 2017, the PubMed, Scopus, Medline, and four Korean databases were searched. The searched keywords were "Parkinson's disease", "Acupuncture", and "Intervention study". The intervention groups from all screened original studies were analyzed and the methods used to determine the effect of AT on PD were examined. Results : A total of 17 studies were grouped by country on the basis of the first author's position, of which 10 studies were conducted in China, four in the United States, two in Korea, and one in Brazil. The most common type of intervention was electroacupuncture (nine studies), followed by AT (six studies), and a combination of AT and bee venom AT (two studies). The most frequently used acupoints in AT were Baihui (GV20), Taichong (LR3), Zusanli (ST36), Sanyinjiao (SP6), and Yanglingquan (GB34). The most commonly used tool for evaluation of PD was the Unified Parkinson's Disease Rating Scale III, which assesses motor functions. Conclusion : The screened studies reported that there were no adverse effects of AT on drug therapy, and AT reduced the dose of drugs used in PD treatment. Future studies on PD treatment with AT should use the acupoints GV20, LR3, ST36, SP6, and GB34, and the meridians Gallbladder meridian and Governor Vessel. Clinical studies on PD should use CONSORT or STRICTA to ensure the quality of national studies and allow the development of new tools for the assessment of the effect of AT on PD using the above criteria.

• The Journal of Korean Medicine
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• v.36 no.4
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• pp.80-103
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• 2015

Background: This study investigated current research trends in bee venom acupuncture in Korea. Materials and methods: The literature in Korea was reviewed using the search engines Science and Technology Society Village, Korean Studies Information Service System, National Discovery for Science Leaders, and Oriental Medicine Advanced Searching Integrated System. The keywords searched were "bee venom," "apitoxin," "apitherapy," and "bee sting." We selected 412 studies, which included Korean literary studies, experimental studies, and clinical studies. Results: We classified them by publication year, research type, disease and topic, and quality assessment. Among bee venom-related studies, clinical studies (235 studies) outnumbered experimental studies (149 studies) and literary studies (28 studies). Nineteen experimental studies concentrated on the theme of "anticancer." In the type analysis of clinical studies, lumbar disorders comprised 45 of 235 studies, followed by the effect on body. Forty-two randomized controlled trials (RCTs) have been published from 2003 to date (2015). Twenty-two studies used appropriate randomization methods. Fourteen studies had a Jadad score of 4-5 points; 15 studies, 1-3 points; and 13 studies, 0 points. Conclusions: Bee venom treatment is based on Korean traditional medicine theory. Numerous research studies suggest its effectiveness. Effort and academic approach on bee venom are expected to receive a positive evaluation.