• Journal of Practical Agriculture & Fisheries Research
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• v.23 no.2
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• pp.71-86
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• 2021

This study was conducted to find information on the university's image from words related to 'Korea National College of Agriculture and Fisheries (KNCAF)' in Naver News. For this purpose, word frequency analysis, TF-IDF evaluation and semantic network analysis were performed using web crawling technology. In word frequency analysis, 'agriculture', 'education', 'support', 'farmer', 'youth', 'university', 'business', 'rural', 'CEO' were important words. In the TF-IDF evaluation, the key words were 'farmer', 'dron', 'agricultural and livestock food department', 'Jeonbuk', 'young farmer', 'agriculture', 'Chonju', 'university', 'device', 'spreading'. In the semantic network analysis, the Bigrams showed high correlations in the order of 'youth' - 'farmer', 'digital' - 'agriculture', 'farming' - 'settlement', 'agriculture' - 'rural', 'digital' - 'turnover'. As a result of evaluating the importance of keywords as five central index, 'agriculture' ranked first. And the keywords in the second place of the centrality index were 'farmers' (Cc, Cb), 'education' (Cd, Cp) and 'future' (Ce). The sperman's rank correlation coefficient by centrality index showed the most similar rank between Degree centrality and Pagerank centrality. The KNCAF articles of Naver News were used as important words such as 'agriculture', 'education', 'support', 'farmer', 'youth' in terms of word frequency. However, in the evaluation including document frequency, the words such as 'farmer', 'dron', 'Ministry of Agriculture, Food and Rural Affairs', 'Jeonbuk', and 'young farmers' were found to be key words. The centrality analysis considering the network connectivity between words was suitable for evaluation by Cd and Cp. And the words with strong centrality were 'agriculture', 'education', 'future', 'farmer', 'digital', 'support', 'utilization'.

• Journal of the Korean Society of Earth Science Education
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• v.11 no.2
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• pp.145-157
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• 2018

The purpose of this study is to analyze the research trends in domestic related to gifted counseling by utilizing Sementic analysis methods. For papers of gifted education in korea, KCI(Korea Citation Index) rated journals were selected 83 pieces published in journals were collected and the Sementic Network Analysis(SNA) way was utilizing for keyword frequency and Centrality Network Analysis throughout a variety of research articles using krkwic and Ucinet6.0. The results are as follows. first, the analysis appeared that the trends of paper keywords from highest frequency of appearance keyword in papers focused on four keywords: perfectionism, career, counseling, and the science gifted. second, Analysis of annual trends from 2001 to June 2018 showed that the top keywords were as follows: the gifted underachievers, the perfectionism, the gifted students of Science, and the science gifted students. the rising keywords were perfectionism, twice-exceptional students, and gifted parents, and the keywords of gifted students and general students showed a tendency to decrease. Consequently, gifted counseling research should be done from various perspectives.

• Journal of the Korean Society for information Management
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• v.36 no.2
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• pp.105-131
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• 2019

The purpose of this study is to investigate the development direction of future scholarship by analyzing recent research trends in collection development and management field using keyword network analysis. Data was collected from four journals in library and information science field during period of 2003 to 2017. Related articles of Collection Development and Management field were retrieved, and author keywords were extracted from selected papers. Keyword network analysis using NetMiner4 program was performed based on frequency analysis, connection-centered analysis, and parametric analysis. The analysis covers all sections from 2003 to 2017 to look at the changes in research over time, and three sections on five-year basis. As a result, main keywords such as 'open access', 'institutional repository' and 'academic journals' were identified, and topics to be continuously researched were identified.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.53-59
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• 2022

The purpose of this study is to examine the factors related to learning through analysis of domestic research trends in literacy and to present the direction of literacy education. Research papers from 1993 to February 2022 were collected using RISS. 'Literacy' and 'Education' were used as search keywords, and 200 papers were selected for analysis. As a result of analysis using keyword network analysis, 118 keywords appeared at least three times out of a total of 810 keywords. The order of the keywords with the highest frequency is 'digital literacy', 'media literacy', and 'elementary school'. The following direction was suggested through the analysis results. First, it is required to establish an online teaching and learning resource platform and link it with education policy. Second, it is necessary to set literacy competencies and seek ways to improve competencies. Third, a digital-based convergence education model should be developed. This study is meaningful in that it analyzed the most recent literacy studies and suggested the direction of literacy education.

• Journal of Korean Library and Information Science Society
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• v.50 no.2
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• pp.43-60
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• 2019

Since information technology such as database or network technology was brought into the information and library science fields, the functions and services of libraries have drastically changed. To cope with the changes of fields, library schools have been improving curricula. This study collected curricula of library and information science in US and Korea and selected classes related to information technology. It also investigated the title keywords and keywords of class description statistically. As a result, 'system, 'database', 'network', 'programing', 'web' are major topic keywords for both countries, but 'library'shows high frequency pnly in Korea.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.01a
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• pp.115-116
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• 2021

5세대(5G) 이동통신망의 보급과 코로나19 여파로 비대면 시대가 열리면서 가상 증강현실(VR·AR)을 기반으로 한 '실감(XR·Extended Reality)경제가 본격화 되었다. 가상증강현실의 적용분야로는 게임·영화 등 엔터테인먼트, 제조업, 쇼핑 및 전자상거래, 병원·의료기기, 고객서비스, 지식서비스교육 분야 등이 있다. 본 논문은 VR·AR&교육콘텐츠를 키워드로 최근 3년(2018.1.1.~2020.12.31.)간 중앙지, 경제지 등 54개 언론사 기사를 빅카인즈와 데이터랩을 이용하여 관계도 분석, 월간 키워드 트렌드, 연관어 분석을 하였다. 'VR, AR, 에듀테크'를 키워드로 뉴스 검색결과 63,959건 중 '에듀테크' 검색결과 2018년 632건, 2019년 1043건, 2020년 2389건으로 해마다 급 상승하였다. '(AR+VR)AND 교육콘텐츠'에 대한 검색 결과 연관성(키워드 빈도수)이 높은 키워드로는 증강현실(120), 가상현실(116), 인공지능(114), 에듀테크(100), 코로나19(66), 실감형(65), 아이들(61), VR·AR(56), ICT(35), 빅데이터(25) 순으로 가상·증강현실 기술 발전, 코로나19의 장기화, 교육의 효율성으로 에듀테크 분야의 활용도가 급격히 증가함을 확인할 수 있었다.

• Korean Journal of Remote Sensing
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• v.33 no.2
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• pp.189-199
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• 2017

Thisstudy quantitatively analyzed the research trendsin the use ofICT ofthe environmental field using the text mining technique. To that end, the study collected 359 papers published in the past two decades(1996-2015)from the National Digital Science Library (NDSL) using 38 environment-related keywords and 16 ICT-related keywords. It processed the natural languages of the environment and ICT fields in the papers and reorganized the classification system into the unit of corpus. It conducted the text mining analysis techniques of frequency analysis, keyword analysis and the association rule analysis of keywords, based on the above-mentioned keywords of the classification system. As a result, the frequency of the keywords of 'general environment' and 'climate' accounted for 77 % of the total proportion and the keywords of 'public convergence service' and 'industrial convergence service' in the ICT field took up approximately 30 % of the total proportion. According to the time series analysis, the researches using ICT in the environmental field rapidly increased over the past 5 years (2011-2015) and the number of such researches more than doubled compared to the past (1996-2010). Based on the environmental field with generated association rules among the keywords, it was identified that the keyword 'general environment' was using 16 ICT-based technologies and 'climate' was using 14 ICT-based technologies.

• Journal of the Korean Society for information Management
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• v.31 no.4
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• pp.49-68
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• 2014

The purpose of this study is to perform content analysis of research articles using the language network analysis method in Korea and catch the basic point of the language network analysis method. Six analytical categories are used for content analysis: types of language text, methods of keyword selection, methods of forming co-occurrence relation, methods of constructing network, network analytic tools and indexes. From the results of content analysis, this study found out various features as follows. The major types of language text are research articles and interview texts. The keywords were selected from words which are extracted from text content. To form co-occurrence relation between keywords, there use the co-occurrence count. The constructed networks are multiple-type networks rather than single-type ones. The network analytic tools such as NetMiner, UCINET/NetDraw, NodeXL, Pajek are used. The major analytic indexes are including density, centralities, sub-networks, etc. These features can be used to form the basis of the language network analysis method.

• The Journal of the Korea Contents Association
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• v.20 no.2
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• pp.162-171
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• 2020

The purpose of this study is to examine the social perception of disaster safety education for young children based on Textom big data and to explore the direction of young children's disaster safety education. Researchers collected and analyzed online text data using the keywords 'young children+disaster+safety education' from portal websites from 2014 to 2017. The raw data were then subjected to first and second data refinement process. Based on the frequency analysis results, 50 keywords were selected, and the selected keywords were converted into matrix data for network analysis. The results of the study are: first, the most frequently appeared keyword together with young children's disaster safety education was 'education', followed by 'experience', 'kindergarten', 'prevention', and 'school.' Second, keywords with high centrality in the analysis of centrality also were 'education', 'experience', and 'prevention'. In addition, keywords like 'prevention', 'life', and 'evacuation' appear higher in connection-centricity than frequency ranking, which means that the degree of connection between the words is high. These results suggest that young children need education in during early childhood in order to improve their disaster safety skills, and disaster safety education should be accomplished through 'prevention' and 'experience' in early childhood education institutions.

• Spatial Information Research
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• v.23 no.3
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• pp.35-44
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• 2015

Recently, the government aims to discover and provide services to citizens on the development strategy for activating the U-City. So, this study aims to offer a service discovery direction by analyzing the service issues and trends. The target is newspaper article about U-City Service from 2009 to 2014. Prepared 723 newspaper article for analysis. Next step is frequency analysis of keyword and used that result for Network analysis and measure of information. Network analysis can show result through "Degree Centrality", "Betweenness Centrality" and "Closeness Centrality". As a result, "Information", "IT", "Environment", "Technology", "Center" is higher than another. These 5 keywords are important factors for driving the U-City the past six years. Information measurement results, Already U-City were put an emphasis on building the infrastructure and able to identify a trend that provided the center of the public service. Those Service field are "Tour(2009)", "Crime prevention and Disaster Prevention(2010)", "Facility Management(2011)", "administration(2012)" and "Facility Management(2013, 2014)". Result of this study found implications what on citizen participation. So, services field on the existing infrastructure should be discovered and provided. Finally, this study can expected to be a reference in the local government planning for U-City.