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이 연구는 토픽모델링을 적용하여 뉴스기사에 따른 태권도 동향을 연도별로 분석하는 것에 목적이 있다. 언론보 도를 통한 태권도 동향을 살펴보기 위해 한국언론재단의 빅카인즈를 통해 뉴스기사와 태권도 전문 언론에 대한 기사를 수집하였다. 검색기간은 2000년 이전, 2001년~2010년, 2011년~2020년 3개의 구간으로 구분하여 검색하여 총 12,124개를 연구자료로 선정하였다. 토픽분석을 위해 전처리 과정을 거쳤으며, LDA 알고리즘을 활용하여 토픽분석을 수행하였다. 이때 모든분석은 python 3을 적용하였다. 그 결과 첫째, 연도별에 따른 언론기사 주제를 분석한 결과 2000년이전 1위는 ‘세계’. 2위는 ‘남북’, 3위는 ‘올림픽’으로 나타났으며, 2001년~2010년 1위는 ‘세계’, 2위는 ‘협회’, 3위는 ‘세계태권도연맹’으로 조사되었다. 2011년~2020년 1위는‘세계’, 2위는 ‘시범’, 3위는 ‘국기원’으로 나타났다. 둘 째, 2000년이전 뉴스기사를 토픽모델링으로 분석한 결과 토픽은 2가지로 구분되었다. 구체적으로 Topic 1은 ‘남·북 체육교류’, Topic 2는 ‘올림픽 시범종목 채택’으로 선정되었다. 셋째, 2001년~2010년 뉴스기사를 토픽모델링으로 분 석한 결과 토픽은 3가지로 선정되었다. Topic 1은 ‘태권도 시범공연 및 비리’, Topic 2는 ‘무주태권도공원 조성 ’, Topic 3은 ‘세계태권도축제’로 선정되었다. 넷째, 2011년~2020년 뉴스기사를 토픽모델링으로 분석한 결과 토픽은 3 가지로 선정되었다. Topic 1은 ‘2018 평창동계올림픽 성공 개최’, Topic 2는 ‘남북 태권도 합동시범공연 ’, Topic 3은 ‘2017 무주세계태권도선수권대회’로 선정되었다.

This study aims to analyze Taekwondo trends according to news articles by year by applying topic modeling. In order to examine the Taekwondo trend through media reports, articles including news articles and Taekwondo specialized media articles were collected through Big Kinds of the Korea Press Foundation. The search period was divided into three sections: before 2000, 2001~2010, and 2011~2020. A total of 12,124 items were selected as research data. For topic analysis, pre-processing was performed, and topic analysis was performed using the LDA algorithm. In this case, python 3 was applied for all analysis. First, as a result of analyzing the topics of media articles by year, 'World' was the most common keyword before 2000. 'South and North Korea’ was next common and 'Olympic' was the third commonest topic. From 2001 to 2010, 'World' was the most common topic, followed by 'Association' and 'World Taekwondo'. From 2011 to 2020, 'World', 'Demonstration', and 'Kukkiwon' was the most common topic in that order. Second, as a result of analyzing news articles before 2000 by topic modeling, topics were divided into two categories. Specifically, Topic 1 was selected as ‘South-North Korea sports exchange’ and Topic 2 was selected as ‘Adoption of Olympic demonstration events’. Third, as a result of analyzing news articles from 2001 to 2010 by topic modeling, three topics were selected. Topic 1 was selected as ‘Taekwondo Demonstration Performance and Corruption’, Topic 2 was selected as ‘Muju Taekwondo Park Creation’, and Topic 3 was selected as ‘World Taekwondo Festival’. Fourth, as a result of analyzing news articles from 2011 to 2020 by topic modeling, three topics were selected. Topic 1 was selected as ‘Successful Hosting of the 2018 Pyeongchang Winter Olympics’, Topic 2 was selected as ‘North-South Korea Taekwondo Joint Demonstration Performance’, and Topic 3 was selected as ‘2017 Muju World Taekwondo Championships’.

본 연구는 오늘날 정보경찰에 관한 사회적 인식의 흐름과 방향을 통시적 관점에서 파악하기 위해 정보경찰 관련 기사의 주요키워드가 무엇이며, 어떤주제로분류되는지 등 언론보도 변화를 분석하였다. 빅카인즈 빅데이터 분석시스템을 활용하여 최근 10년 간 전국 중앙 일간지 12곳 대상으로 ‘정보경찰’에 대하여 키워드 트렌드를 분석하고, 연 관성 높은 키워드를 시각화하는 연관어 분석을 하였다. 또한, 정보경찰 개혁을 기준으 로 시기별 특징을 구분하여 개혁 이전, 진행기, 성숙기로 구분하였다. 연구결과, 정보경 찰에 관한 언론보도는 진보･보수 언론 간 빈도의 차이는 있지만 양측 모두 정보경찰을 감시와 견제의 프레임에서 바라본다는 점을 확인할 수 있었다. 또한 정보경찰에 대한 언론과 사회 일반의 관점은 여전히 부정적 이미지 위주였다. 이에 정보경찰에 대한 국 민의우려를불식시키기 위한 노력을 지속하고 평화적 집회시위를 돕는대화경찰제, 예 방적 정보활동 등 긍정적 담론 형성이 필요함을 결론으로 제시하였다.

This study analyzed changes in media coverage of the intelligence police, focusing on identifying key keywords and classifying topics to understand the temporal trends and directions of public perception towards the intelligence police today. Using the BigKinds big data analysis system, we analyzed keyword trends for 'intelligence police' over the past 10 years in 12 major national daily newspapers and conducted a co-occurrence analysis to visualize highly related keywords. Furthermore, we categorized the characteristics of each period based on intelligence police reforms into pre-reform, reform progress, and post-reform stages. The results revealed that while there was a difference in frequency between progressive and conservative media, both sides viewed the intelligence police through the lens of surveillance and checks and balances. Additionally, the public and media perspectives on the intelligence police remained largely negative. Therefore, we conclude that it is necessary to continue efforts to alleviate public concerns about the intelligence police and foster positive discourse such as the dialog policing system, which facilitates peaceful assemblies and demonstrations, and preventive intelligence.

자치경찰제의 도입 이유는 헌법에서 보장하는 지방자치의 이념과 밀접한 관련이 있고, 주민의 참여와 지역 공동체의 자율성을 반영하는 치안 행정의 민주성이 핵심적인 내용이 다. 이러한 배경으로 우리나라 자치경찰의 주요 사무는 주민밀착형, 민생치안 중심으로 이루어져 있다. 자치경찰이 지역사회의 치안을 확보하고, 다양한 문제를 해결하기 위해서 지역 공동체 및 지역주민들의 관심과 이해, 협조와 참여가 필요할 것으로 예상한다. 본 연구는 자치경찰제의 도입 전후의 자치경찰 관련 검색량과 뉴스, SNS의 빅데이터를 활용해 시사점을 도출하고 자치경찰 발전에 기초자료를 제공하고자 한다. 연구결과에 따 르면 첫째, 특정 이슈에 따라 검색량과 뉴스량이 증가하였지만, 제도 도입 이후 검색량은 줄어든 반면 뉴스량은 증가하였다. 이는 사람들의 관심과는 별개로 자치경찰제에 대한 다 양한 이슈에 따라 많은 수의 뉴스들이 파생된다는 것으로 이해될 수 있다. 지역주민들의 관심을 끌어내고 이해를 돕기 위해서는 언론 보도 이외의 홍보수단을 탐색·적용하고, 다 양한 정책적 방법이 제시될 수 있는 환경을 마련하기 위한 재정확보 방안 등의 노력이 수반 되어야 할 것이다. 둘째, 자치경찰의 도입 전후 뉴스검색 연관 키워드 분석을 통해 도입의 형태나 시기, 어떻게 도입됐는지와 관련된 키워드가 부각 된 것으로 볼 때, 아직 자치경찰에 대한 이해 도가 부족하고, 많은 궁금증이 있는 것으로 유추해 볼 수 있다. 자치경찰에 대한 국민의 이해도를 높이고, 안정적으로 정착되게 하기 위해선 정부와 관련 부처의 충분한 소통을 통해 시도의 국가지원을 늘리고, 시도지사의 권한을 확대하여 제도 취지 맞게 운영될 수 있는 기틀을 마련하여야 한다. 또한, 자치경찰제의 단점들을 보완할 수 있는 대비책을 마 련하여 우려를 불식시키는 노력이 필요할 것으로 판단된다. 셋째, 도입 전후 자치경찰에 대한 사람들의 인식이 SNS상에서나마 긍정적으로 변화된 것으로 나타났으며, 제도가 시행된 지 얼마 되지 않은 시점에서의 자치경찰에 대한 기대 감을 나타낸 것으로 해석할 수 있다. 따라서 향후 자치경찰이 사람들의 우려를 불식시키 고, 나타낸 기대감을 충족시키기 위해 관련 부처와 기관을 비롯한 각시도 자치경찰의 전 문성 및 내실화 확보를 위한 법적·제도적 장치의 보완이 필요할 것이다.

The reason for the introduction of the autonomous police system is closely related to the ideology of local autonomy guaranteed by the Constitution, and the democracy of security administration that reflects the participation of residents and the autonomy of local communities is key. Against this background, the main affairs of the self-governing police in Korea are centered on resident-friendly and public security. It is expected that the self-governing police will need the interest, understanding, cooperation, and participation of local communities and local residents to secure the security of the local community and solve various problems. This study aims to derive implications and provide basic data for the development of autonomous police by using the search volume related to autonomous police before and after the introduction of the autonomous police system, news, and SNS. According to the research results, first, search volume and news volume increased according to specific issues, but after the introduction of the system, search volume decreased while news volume increased. It can be understood that a large number of news are derived according to various issues about the autonomous police system, apart from people's interest. In order to attract local residents' attention and help them understand, efforts should be accompanied by exploring and applying promotional means other than media reports, and measures to secure finances to prepare an environment in which various policy methods can be proposed. Second, it can be inferred that there is still a lack of understanding and many questions about the autonomous police in that keywords related to form, timing, and method of introduction were highlighted through analysis of keywords related to news search before and after the introduction of the autonomous police. In order to enhance the public's understanding of the autonomous police and to establish a stable settlement, the government and related ministries should increase state support of cities and provinces and expand the authority of provincial governors to provide a foundation for operating in accordance with the purpose of the system. In addition, it is necessary to make efforts to dispel concerns by preparing measures to compensate for the shortcomings of the autonomous police system. Third, before and after the introduction, people's perception of the autonomous police was found to have changed positively on SNS, and it can be interpreted as expressing expectations for the autonomous police not long after the system was implemented. Therefore, in order for local police to dispel people's concerns and meet the expectations expressed, it will be necessary to supplement legal and institutional devices to secure the expertise and internalization of local police, including related ministries and institutions.

본 연구의 목적은 토픽모델링과 언어네트워크분석을 활용하여 한국의 스마트팜 분야 연구 동향과 지식구조를 파악하는 것이다. 연구목적을 달성하기 위하여 KCI(Korea Citation Index)의 스마트팜 관련 국내 학술지 104편을 대상으로 핵심어와 핵심어들의 연결 관계를 분석하고, LDA 토픽모델링 기법을 이용하여 연구주제와 관련된 토픽들을 분석하였다. 언어네트워크분석 결과, 국내 스마트팜 관련 연구 분야의 주요핵심어는 ‘환경’, ‘시스템’, ‘사용’, ‘기술’, ‘재배’ 등이 나타났으며, 연결중심성, 매개중심성, 위세중심성 결과도 제시하였다. 토픽모델링분석결과, Topic 1은 ‘스마트팜 도입 분석’, Topic 2는 ‘친환경 스마트팜과 스마트팜의 경제적 효율성’, Topic 3은 ‘스마트팜 플랫폼 설계’, Topic 4는 ‘스마트팜 생산 최적화’, Topic 5는 ‘스마트팜 생태계’, Topic 6은 ‘스마트팜 시스템 구현’, Topic 7은 ‘스마트팜 관련 정부 정책’으로 나타났다. 본 연구는 국내 스마트팜 관련 연구 동향을 살펴봄으로써, 향후 국내의 스마트팜을 발전시키 는 데 필요한 정책개발과 연구 방향성을 설정하는데 기초자료가 될 것으로 기대한다.

The study is to investigate research trends and knowledge structures in the Smart Farm field. To achieve the research purpose, keywords and the relationship among keywords were analyzed targeting 104 Korean academic journals related to the Smart Farm in KCI(Korea Citation Index), and topics were analyzed using the LDA Topic Modeling technique. As a result of the analysis, the main keywords in the Korean Smart Farm-related research field were 'environment', 'system', 'use', 'technology', 'cultivation', etc. The results of Degree, Betweenness, and Eigenvector Centrality were presented. There were 7 topics, such as ‘Introduction analysis of Smart Farm’, ‘Eco-friendly Smart Farm and economic efficiency of Smart Farm’, ‘Smart Farm platform design’, ‘Smart Farm production optimization’, ‘Smart Farm ecosystem’, ‘Smart Farm system implementation’, and ‘Government policy for Smart Farm’ in the results of Topic Modeling. This study will be expected to serve as basic data for policy development necessary to advance Korean Smart Farm research in the future by examining research trends related to Korean Smart Farm.

이 연구는 장애무용교육 연구동향 분석을 통해 장애무용교육의 방향성을 제안하는데 연구의 목적이있다. 한국교육학술정보원(Korea Education Research Information Service)에 등록되어 있는 장애무용교육 관련 논문 중 2010년부터 2019년 10월까지 총 10년간 게재된 46편의 논문을 분석대상으로 선정, 출판연도, 연구대상, 연구방법, 자료처리방법 별로 자료를 수집, 내용분석과 주제어 분석을 통해 장애무용교육의 방향을 제안하였다. 그 결과, 지적장애인을 대상으로 한 정서적, 신체적, 사회적응 측면으로 연구범위가 확대되었으며, 신체재활을 목적으로 한 무용 활용 연구들이 주로 발견되었다. 또한 정서, 사회적응, 심리, 인성 등과같은 내면적 요소와 관련이 깊은 주제어가 다수 발견되었다. 이는 정서적으로 불안한 장애인의 정상화원리에 입각한 긍정적인 삶을 위한 장애무용교육 연구가 꾸준하게 진행된 것으로 해석된다. 이에 향후장애무용교육의 방향성은 장애무용교육을 통해 장애예술에 대한 사회구성원의 인식 전환이 요구되며, 장애의 특성과 정도를 고려한 무용예술교육 프로그램 개발 및 장애무용예술교육전문가 양성이 시급하고, 장애인이 전문적인 무용예술가가 될 수 있도록 전문적인 교육기관이 필요함을 제안한다.

The purpose of this study is to suggest the direction of disability dance education by analyzing disability dance education research trends. Among the papers related to disability dance education registered in the Korea Education Research Information Service, 46 papers published, which were published from 2010 to October 2019 were examined, through content analysis and keywords analysis. As a result, the research scope has been expanded to the emotional, physical, and social adaptation targets for people with intellectual disabilities, and a number of studies on the use of dance for the purpose of physical rehabilitation while related keywords have been found. Therefore, it is necessary to convert the social members' awareness of the disabled arts through the disability dance education, and it is urgent to develop a dance arts education program considering the characteristics and degree of disabilities and to train professionals in the arts of disabilities. This study suggests a professional educational institution that educates the disabled to become professional dance artists.

중국 물류 산업에 큰 변화가 있었음에도 중국 물류의 연구 동향에 대한 연구는 거의 이루어지지 않았다. 기존 연구는 운송 효율성, 창고 위치 및 항만 효율 등과 같은 세분화된 주제로 연구가 진행되었다. 본 연구에서는 2000년부터 2017년까지 중국 물류의 연구 동향을 SNA방법을 이용하여 분석하였다. 자료는 해외저널에서 수집되었으며, 총 82 개 관련 학술지가 분석대상으로 사용되었다. 2000년에서 2017 년까지 기간을 나누어 분석을 진행하였고, 첫 번째 기간 (2000-2008) 은 "Globalization", "Hong Kong", "FDI" 및 "outsousing"과 같은 키워드가 상위 키워드로 도출되었다. 두 번째 기간 (2009-2013)의 결과는 "internation trade“, 및 "reverse logistics"와 같은 키워드들이 도출되었고, 세 번째 기간(2013-2017) 에는 "3PL", "warehousing", "railways", "supply chain", "economic", "port" 및 "Belt and Road”등의 키워드가 상위로 나타 났다. SNA 방법을 사용한 중국물류 연구 트렌드 분석 결과, 세계화 상황에서 중국이 급속히 변화함에 따라 중국 물류의 연구동향이 진화하고 있음을 보여주고 있다.

Although there has been a great change in the Chinese logistics industry, there have been few studies on the research trends of logistics in China. Existing research has been conducted on subdivision topics such as transportation efficiency, warehouse location and port efficiency. In this study, the research trends of logistics in China from 2000 to 2017 were analyzed using SNA method. The data were collected from foreign journals and a total of 82 related papers were used for analysis. The first period (2000-2008) was derived from the top keywords such as "Globalization", "Hong Kong", "FDI" and “outsousing”. The results of the second period (2009-2013) were derived from keywords such as "international trade" and "reverse logistics", and in the third period (2013-2017) "3PL", "warehousing", "railways" “supply chain”, “economic”, “port” and “Belt and Road” The analysis of China’s logistics using SNA method shows that the research trend of China’s logistics is evolving as China is changing rapidly under the globalization context.

A good foreign language curriculum consolidates the three important principles: sequence, continuity and integration. Since English textbooks are the incarnation of the curriculum used in foreign language classrooms, a comparative investigation of the principles in English textbook corpus enlightens differences in English education of South Korea (SK) and North Korea (NK). To this end, the current study analyzes how graded sets of vocabulary are distributed to discover the sequence in the textbooks, and what the repetition rate is by looking into Standardized Type Token Ratio (STTR) to find out the continuity in the textbooks, and what keyword list is in both positive and negative keyword list of the NK corpus against the SK corpus to elicit integration property of the curriculum. The findings are: (1) NK textbooks are structural in sequence, and no such structural sequence is found in SK textbooks. (2) SK textbooks recycle vocabulary more frequently than NK textbooks, and this leads to more rote memorization activities in NK textbooks. (3) NK textbooks are more integrated with other academic subjects such as science, geography and ideology.

Recent technological advancements and environmental changes are leading to an increase in various diseases such as obesity, fibrosis, metabolic disorders, and degenerative diseases associated with aging. Additionally, micro- and nanoplastics are emerging as as potential contributors to many of these conditions, posing a serious threat to human health. This special issue aims to explore new directions and opportunities for future drug development through recent review articles published in the issue, focusing on these key medical topics.

The aim of this study was to discover various Library and Information Science (LIS) research areas by examining similarities and differences between LIS journals in terms of keyword characteristics. To conduct this study, for the years from 2004 to 2016, the keywords of 6 international journals were downloaded from Scopus database (http://www.scopus.com), and the keywords of 4 Korean journals were downloaded from the RISS database (http://www.riss.co.kr). The characteristics of keywords were investigated by examining frequently used keywords and frequently used distinctive keywords pertaining to international and Korean journals. The distinctive keywords are referred to as the keywords that appear in one domain but not in another. The result of this study indicated the following: a) a frequency analysis of the keywords showed major research themes and unique traits concerning Korea. b) In general, the keywords used in Korean journals frequently reflected the library as a major subject area of research, while keywords used in international journals reflected bibliometrics and information retrieval as major subject areas of research. c) The overarching themes of each created dataset were clearly noticeable in frequently used distinctive keywords. d) Some keywords were bound by a nation or by a region due to their scope of usage. The important implication of this study is that both most frequently used keywords and most frequently used distinctive keywords seemed to adequately represent the LIS subject areas

After reading a document, people construct a concept about the information they consumed and merge multiple words to set up keywords that represent the material. With that in mind, this study suggests a smarter and more efficient keyword extraction method wherein scholarly journals are used as the basis for the establishment of production rules based on a concept information of words appearing in a document in a way in which author-provided keywords are functional although they do not appear in the body of the document. This study presents a new way to determine the importance of each keyword, excluding non-relevant keywords. To identify the validity of extracted keywords, titles and abstracts of journals about natural language and auditory language were collected for analysis. The comparison of author-provided keywords with the keyword results of the developed system showed that the developed system was highly useful, with an accuracy rate as good as up to 96%.

Purpose: The aim of this study is to identify core keyword of frailty research in the past 35 years to understand the structure of knowledge of frailty. Methods: 10,367 frailty articles published between 1981 and April 2016 were retrieved from Web of Science. Keywords from these articles were extracted using Bibexcel and social network analysis was conducted with the occurrence network using NetMiner program. Results: The top five keywords with a high frequency of occurrence include ‘disability’, ‘nursing home’, ‘sarcopenia’, ‘exercise’, and ‘dementia’. Keywords were classified by subheadings of MeSH and the majority of them were included under the healthcare and physical dimensions. The degree centralities of the keywords were arranged in the order of ‘long term care’ (0.55), ‘gait’ (0.42), ‘physical activity’ (0.42), ‘quality of life’ (0.42), and ‘physical performance’ (0.38). The betweenness centralities of the keywords were listed in the order of depression’ (0.32), ‘quality of life’ (0.28), ‘home care’ (0.28), ‘geriatric assessment’ (0.28), and ‘fall’ (0.27). The cluster analysis shows that the frailty research field is divided into seven clusters: aging, sarcopenia, inflammation, mortality, frailty index, older people, and physical activity. Conclusion: After reviewing previous research in the 35 years, it has been found that only physical frailty and frailty related to medicine have been emphasized. Further research in psychological, cognitive, social, and environmental frailty is needed to understand frailty in a multifaceted and integrative manner.

Purpose The aim of this study was to characterize the network of institutions, journals, and topics of coronavirus disease 2019 (COVID-19) literature by Korean authors in the Web of Science Core Collection. The specific goals were to identify the collaborative relationships between Korean authors and international authors and to explore clusters of institutions, journals, and topics. Methods Literature was searched in the Web of Science Core Collection on January 30, 2021. The search terms were “SARS-CoV-2” or “COVID” or “novel coronavirus” in the subject field. The search results were limited again to “South Korea” as the country and the publication type of “article.” The measurement tool was Biblioshiny, an app version tool for Bibliometrix. Results Korean authors published 3.2 times more COVID-19?related articles in journals outside of Korea than in Korean journals. The journals showed three clusters by bibliographic coupling. In contrast, the co-citation network showed four clusters. Only a few journals were included in the clusters in both analyses. The conceptual structure of Keywords Plus by factorial analysis showed two clusters: “pathology and clinical treatment” and “knowledge and attitudes.” Institutions’ collaborative network consisted of four clusters. Korean researchers actively collaborated with international researchers, especially those in the United States. Conclusion Because only a few Korean journals were included in the journal clusters by both coupling and co-citation network, more active citation of Korean journals is recommended. The identification of human behavior as a distinct theme in COVID-19 research suggests a different focus in this area besides clinical studies.

Purpose: This study compared trends in research designs and keywords by analyzing the abstracts of four major nursing journals over the past decade, focusing on the Journal of Korean Academy of Nursing (JKAN) in comparison with the International Journal of Nursing Studies (IJNS), Journal of Advanced Nursing (JAN), and Japan Journal of Nursing Science (JJNS). Methods: A bibliometric analysis was conducted, encompassing 5,522 abstracts published between 2015 and 2024. Research designs were first classified as "quantitative," "qualitative," or "other," and then further sub-classified based on international evidence-based frameworks. Text preprocessing was also conducted, and term frequency-inverse document frequency was applied to evaluate keyword importance. The 2015-2019 and 2020-2024 periods were compared to examine changes in both research designs and keyword importance. Results: Compared to IJNS, JAN, and JJNS, JKAN published more instrument development and analytic studies but fewer randomized controlled trials and systematic reviews. Over time, the number of instrument development and mixed-methods studies in JKAN increased, while high-evidence designs remained scarce. Keyword analysis showed JKAN's emphasis on psychosocial themes such as self-efficacy, quality of life, and depression, whereas the other journals more often highlighted policy- and institution-related topics. Across journals, COVID-19 and patient safety emerged as important themes after 2020. Conclusion: JKAN demonstrates strengths in methodological diversity within quantitative research and in digital health-related analytics. However, high-evidence study designs and policy-oriented keywords are underrepresented in JKAN. Strategic expansion toward randomized controlled trials, systematic review, global and digital health, and policy-relevant research is recommended to strengthen JKAN's international competitiveness.

Information retrieval is the challenge of the Web 2.0 world. The experiment of knowledge organisation in the context of abundant information available from various sources proves a major hurdle in obtaining information retrieval with greater precision and recall. The fast-changing landscape of information organisation through social networking sites at a personal level creates a world of opportunities for data scientists and also library professionals to assimilate the social data with expert created data. Thus, folksonomies or social tags play a vital role in information organisation and retrieval. The comparison of these user-created tags with expert-created index terms, author keywords and title words, will throw light on the differentiation between these sets of data. Such comparative studies show revelation of a new set of terms to enhance subject access and reflect the extent of similarity between user-generated tags and other set of terms. The CiteULike tags extracted from 5,150 scholarly journal articles in marine science were compared with corresponding Aquatic Science and Fisheries Abstracts descriptors, author keywords, and title terms. The Jaccard similarity coefficient method was employed to compare the social tags with the above mentioned wordsets, and results proved the presence of user-generated keywords in Aquatic Science and Fisheries Abstracts descriptors, author keywords, and title words. While using information retrieval techniques like stemmer and lemmatization, the results were found to enhance keywords to subject access.

The purpose of this study is to grasp the understanding of smart cities and to review whether the common perception of smart cities, as people understand it, is changing over time. This study analyzes keywords related to smart cities used in social network services (SNSs) in 2011, 2016, and 2020 respectively through semantic network analysis. Smart city discussions appearing on SNS in 2011 mainly focused on technology, and the results of 2016 were generally similar to those of 2011. We can also find policy or business-oriented characteristics in emerging countries in 2020. We highlight that all the results of 2011, 2016, and 2020 have some correlation with each other through QAP(Quadratic Assignment Procedure) correlation analysis, and among them, the correlation between 2011 and 2016 is analyzed the most. The results of the frequency analysis, centrality analysis, and CONCOR(CONvergence of interaction CORrelation) analysis support these results. The results of this study help establish policies that reflect the needs and opinions of citizens in planning smart cities by identifying trends and paradigm transitions expressed by people in SNS. Furthermore, it is expected to help emerging countries by enhancing the understanding of the essence and trend of smart cities and to contribute by suggesting the direction of more sustainable technology development in future smart city policies for leading countries.

This study aims to investigate keywords and key clusters in Shakespearean love plays focusing on a group of three love tragedies(Anthony and Cleopatra, Othello, and Romeo and Juliet) and a group of three love comedies(A Midsummer Night’s Dream, As You Like It, and The Two Gentlemen of Verona). The only one shared key keyword in love tragedies and love comedies is love. Some of the key keywords in love comedies have a positive tendency, such as love, lover, lovers, sweet, wit, and love’s. By contrast, some of the key keywords in love tragedies have a negative tendency, such as dead, poison, beguil’d, death, and soldier’s. The only one shared key key cluster in love tragedies and love comedies is go with me. These results tell us that all six plays belong to the category of love plays and the characteristics of keyword and key cluster dispersion plots can distinguish tragedy plays from comedy plays.

Classroom use of authentic texts used in everyday communication has not always been an inseparable part of foreign language teaching. According to Grigaliuniene (2013, p. 17), “the structures many current textbooks teach for certain functions are either never used or used infrequently while quite unexpected structures are the ones that actually occur”. Despite the awareness of the importance of authentic patterns of language use, students often learn structures (lexical or grammatical) which are rarely used in actual communication. Teaching authentic phrases is even more important in English for Specific Purposes (ESP) where learners’ specific needs impact the design of a course (Dudley-Evans & St John, 1998). What is more, ESP students need to acquire vocabulary of a target profession. Thus, in this preliminary study, conducted using corpus linguistic methodology, an attempt is made to identify and explore the use and discourse functions of frequent and typical patterns of language use, i.e. keywords, recurrent clusters and multi-word terms (nominalizations), found in a custom-designed corpus of car reviews written in English. As shown by examples of student tasks, the results have pedagogical potential in that they can be used as a useful resource when designing or supplementing teaching materials for secondary-school ESP students (automotive technicians and car mechanics).1)