• Journal of the International Relations & Interdisciplinary Education
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• v.2 no.1
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• pp.15-28
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• 2022

College students' perception of social responsibility is directly related to the development of the country. With the development of society, the social responsibility of university students is becoming more important, so research on it is being actively conducted in China. In order to understand the current research status of social responsibility education for Chinese university students, this study analyzed the research trends of the top 22 language networks among the key words that appeared in related studies from January 2015 to December 2021. As a result, many key words such as college student social responsibility (563), social responsibility education (340 times), college students (191), social responsibility (197 times), and responsibility (133 times) appeared a lot. In the case of connection centrality, the connection centrality of social responsibility education, college student social responsibility, college students, and social responsibility was high. In the case of proximity centrality, the proximity centrality of college students' social responsibility, social responsibility education, college students, and social responsibility was high.

• Therapeutic Science for Rehabilitation
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• v.10 no.1
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• pp.7-17
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• 2021

Objective : The purpose of this study was to quantitatively analyze the quantitative changes in, and the status of, overseas occupational therapy using text mining. Methods : Using PubMed, research papers on Elderly, Health and Occupational therapy published between 2009 and 2019 were selected for analysis, Abstracts of the selected papers were analyzed. The number of annual papers, the key words, the key words by year, and the relationship between the words were analyzed. Results : The number of papers published from 2009 to 2019 was 9,941, there was a gradual increase from 2009 to the highest in 2017 or 2018, followed by a decreasing trend in 2019. Within the last five years, the most frequent words were Care, Group, Intervention, Pain, Treatment, and Work. There was a strong relationship between the words based on the average frequency over the last 11 years, function, health, event, and partition. Conclusion : This study is meaningful because it applied a new research method called text mining to the empirical and systematic analysis of trends in occupational therapy and presented macroscopic and comprehensive results. The findings are expected to help establish new research directions at clinical and research sites for occupational therapy related to older adults.

• Journal of Korean Library and Information Science Society
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• v.51 no.3
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• pp.53-80
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• 2020

Library Week was established in 1964 and has continued without interruption for 56 years. It has grown to become one of the largest and most important activities within the library field today. The Korean Library Association publicly selects slogans to be used for Library Week publicity purposes and their poster advertising campaign. A study and evaluation analyzing slogan contents was performed to determine the overall effects of these slogans on the public and provide suggestions for more effective and focused slogans as part of a branding strategy. To achieve this purpose, the contents of 116 official slogans of the library week were analyzed according to the linguistic techniques and key words suggested by Young-Jun Park (2001). As a result, there were 103 slogans (88.79%) composed of only 'Korean characters'. And the key scoring type with the highest number of hits was the word 'sentences' 46 units (39.66%). Furthermore the word in the slogans resulting in the highest number of hits was 'library' with 111 units (96.52%). Therefore, it can be said that most of the weekly slogans of the library are 'sentence type' consisting of 'Korean characters' containing the word 'library'.

• Journal of Korea Society of Industrial Information Systems
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• v.18 no.2
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• pp.59-69
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• 2013

By the end of 2012, there were 5.1 billion mobile communication subscribers in South Korea. The majority of subscriptions (97.3 percent) were for mobile phones, particularly smartphones. From 2010 to 2012, the number of mobile phone subscriptions increased 2,000 percent, growing from an initial subscriber base of 150 million. This paper explores the changing mobile communication landscape from a socio-technological perspective to understand the underlying drivers of change and their effects on the South Korean populace. A content analysis of 11,156 electronic newspaper articles mentioning mobile communication in South Korea and occurring between 2010 and 2012 was conducted. 5,119 keywords were extracted based on frequency statistics and further analyzed to determine the drivers of change. Based on this analysis, we conclude that South Korea's mobile communication environment is focused on rapid expansion of technology with minor consideration given to the social aspects of this change. This has resulted in several negative consequences and we urge for new policies by government and industry to address this gap.

• Annual Conference on Human and Language Technology
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• 2020.10a
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• pp.595-597
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• 2020

빅데이터 시대에서 대용량 문서의 의미를 자동으로 파악하기 위해서는 문서 내에서 주제 및 내용을 포괄하는 핵심 단어가 키워드 단위로 추출되어야 한다. 문서에서 키워드가 될 수 있는 단위는 복합명사를 포함한 단어가 될 수도, 그 이상의 묶음이 될 수도 있다. 한국어는 언어적 특성상 구묶음 개념이 적용되는 데, 이를 통해 주요 키워드가 될 수 있는 말덩이 추출이 가능하다. 따라서 본 연구에서는 문서에서 단어뿐만 아니라 다양한 단위의 키워드 묶음을 태깅하는 가이드라인 정의를 비롯해 태깅도구를 활용한 코퍼스 구축 방법론을 고도화하고, 그 방법론을 실제로 뉴스 도메인에 적용하여 주석 말뭉치를 구축함으로써 검증하였다. 본 연구의 결과물은 텍스트 문서의 내용을 파악하고 분석이 필요한 모든 텍스트마이닝 관련 기술의 기초 작업으로 활용 가능하다.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.363-364
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• 2023

카테고리별 베스트셀러를 통해 트렌드 파악 및 사용자 맞춤형 도서 추천을 위해 카테고리별로 도서 데이터를 수집하고, 대용량 데이터인 위키피디어 데이터를 이용하여 워드임베딩 모델을 구축한다. 도서 데이터에 대한 키워드 분석 및 LDA 주제분석 기법에 의해 카테고리별 핵심 단어 분석을 통해 도서 트렌드를 파악하고, 사용자 맞춤형 도서 정보 제공 및 도서를 추천하는 기능을 구현한다.

• The Journal of the Korea Contents Association
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• v.22 no.6
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• pp.24-34
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• 2022

Viewing religion as contents, we analyzed the network structure by creating networks on 13 world religions. The whole network was constructed by combining 13 religions, and it showed the characteristics of a scale-free network as a general social network. The world religion network had a very small value of clustering coefficient, unlike the general social network. This seems to be the result of the diversity of terms that describe religion. The core network was constructed by applying K-core algorithm used to create the core network to the whole network. When k-3 was applied, it was too complicated but when k-4 was applied, it was too simple to obtain meaningful results. It indicates that it difficult to apply the K-core algorithm to a network containing a low clustering coefficient. Therefore, core networks were constructed according to the number of key words centered on the hub node to analyze the characteristics of world religions. In addition, meaningful information was derived by constructing the world's five major religious networks and East Asian religious networks. In this study, various information was obtained by analyzing world religions as contents. It was also presented a method of creating and analyzing a core network based on key words for networks with a low clustering coefficient.

• Journal of Digital Convergence
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• v.16 no.11
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• pp.185-199
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• 2018

The purpose of this study is to derive the core technologies of VR using patent analysis and to explore the direction of social and public interest in VR using news analysis. In Study 1, we derived keywords using the frequency of words in patent texts, and we compared by company, year, and technical classification. Netminer, a network analysis program, was used to analyze the IPC codes of patents. In Study 2, we analyzed news articles using T-LAB program. TF-IDF was used as a keyword selection method and chi-square and association index algorithms were used to extract the words most relevant to VR. Through this study, we confirmed that VR is a fusion technology including optics, head mounted display (HMD), data analysis, electric and electronic technology, and found that optical technology is the central technology among the technologies currently being developed. In addition, through news articles, we found that the society and the public are interested in the formation and growth of VR suppliers and markets, and VR should be developed on the basis of user experience.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.1219-1222
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• 2015

금융과 IT가 융합되는 핀테크(Fintech)가 IT산업과 금융산업에 새로운 패러다임으로 급부상하고 있다. 핀테크 기술에 대한 기술동향을 파악하고 유사한 연관 기술을 도출하는 것은 관련 사업자가 시장 경쟁에서 우위를 차지하기 위해 필요한 전략적 방향을 제시해 준다. 하지만 핀테크와 같이 단 기간 내에 기술에 대한 파급 속도가 빠르게 일어나며 산업전반에서 기술선점의 필요성이 크게 대두되는 경우 특허 데이터베이스만으로 유사기술을 검색을 위한 키워드를 선정하는 것이 어렵다는 단점이 있다. 본 논문에서는 새롭게 이슈화되는 기술 중 그 성장세가 급격하게 변화하여 등록된 특허만으로는 연관 기술 영역을 파악하는 일이 번거로운 상황에서 기사 분석을 통해 연관 기술 키워드를 추출 할 수 있는 방법을 제안하고자 한다. 특히 핀테크에서 중요하게 인식되는 결제, 보안, 사용자환경에 대한 연관 기술 키워드를 기사 내용에 포함되는 단어의 빈도 분석을 통해 추출하고자 하였다. 최종적으로 추출된 기술 키워드를 이용하여 실제 특허 검색 데이터베이스에서 관련 특허를 수집하고 분석하여 핀테크와 관련성이 매우 높은 연관 핵심 기술 특허를 도출하였다.

• Journal of dental hygiene science
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• v.18 no.6
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• pp.380-388
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• 2018

This research team extracted keywords from 953 papers published in the Journal of Dental Hygiene Science from 2001 to 2018 for keyword and centrality analyses using the Keyword Network Analysis method. Data were analyzed using Excel 2016 and NetMiner Version 4.4.1. By conducting a deeper analysis between keywords by overall keyword and time frame, we arrived at the following conclusions. For the 17 years considered for this study, the most frequently used words in a dental science paper were "Health," "Oral," "Hygiene," and "Hygienist." The words that form the center by connecting major words in the Journal of Dental Hygiene through the upper-degree centrality words were "Health," "Dental," "Oral," "Hygiene," and "Hygienist." The upper betweenness centrality words were "Dental," "Health," "Oral," "Hygiene," and "Student." Analysis results of the degree centrality words per period revealed "Health" (0.227), "Dental" (0.136), and "Hygiene" (0.136) for period 1; "Health" (0.242), "Dental" (0.177), and "Hygiene" (0.113) for period 2; "Health" (0.200), "Dental" (0.176), and "Oral" (0.082) for period 3; and "Dental" (0.235), "Health" (0.206), and "Oral" (0.147) for period 4. Analysis results of the betweenness centrality words per period revealed "Oral" (0.281) and "Health" (0.199) for period 1; "Dental" (0.205) and "Health" (0.169) for period 2, with the weight then dispersing to "Hygiene" (0.112), "Hygienist" (0.054), and "Oral" (0.053); "Health" (0.258) and "Dental" (0.246) for period 3; and "Oral" (0.364), "Health" (0.353), and "Dental" (0.333) for period 4. Based on the above results, we hope that further studies will be conducted in the future with diverse study subjects.