• 제목/요약/키워드: key words

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해양수산 SNS 빅데이터 분석 결과 및 시사점 (SNS Big-data Analysis and Implication of the Marine and Fisheries Sector)

  • 박광서;이정민;이선량
    • 한국해양환경ㆍ에너지학회지
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    • 제20권2호
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    • pp.117-125
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    • 2017
  • SNS 빅데이터 분석은 소셜 미디어에서 생성되는 빅데이터로부터 숨겨진 가치를 찾아내는 것을 의미한다. 본고는 해양수산 분야의 국민적 관심사를 파악하기 위해 24개 키워드를 도출하여 SNS 빅데이터 분석을 실시하였다. 언급량이 많은 키워드는 수산물, 해운, 독도 순이었으며, 해양정책, 해양안보 등 국민적 관심사가 적은 키워드는 상대적으로 언급량이 미미했다. 매체별 언급량은 정부가 주도하는 분야는 뉴스에, 민간이 주도하거나 국민생활 연관성이 큰 경우는 블로그와 트위터에 많았다. 따라서 해양수산 정책 수립 시 SNS 빅데이터 분석을 활용해 국민적 관심사를 반영하고, 특히 부정적인 요인을 해소하는데 역점을 두어야 한다. 또한 매체별로 언급량이 다르므로 차별화된 홍보방안을 마련할 필요가 있다.

신문 아파트광고에 나타난 조망지향성과 그린마케팅의 속성 (View-oriented and Green Marketing Characteristics of Apartment Advertisements on Newspapers)

  • 노재현;김옥경
    • 한국조경학회지
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    • 제34권6호
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    • pp.87-100
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    • 2007
  • This study analyzed the key words in Korea's leading apartment brands and newspaper advertisements to examine especially their view-oriented advertising characteristics and green marketing properties. Four study topics were established and examined for this purpose. The following are the results; 1. The key words on apartment brands and catch phrases are $\ulcorner$emotion-oriented$\lrcorner$ words, such as taste, pride, and happiness, and $\ulcorner$environment-oriented$\lrcorner$ to appeal to customers with beautiful views of the nature. Also key words on newspaper advertisement headlines stress views for $\ulcorner$environment-oriented$\lrcorner$ characteristics as well as $\ulcorner$emotion-oriented$\lrcorner$ characteristics for elegance and luxury, and $\ulcorner$function-oriented$\lrcorner$ characteristics for the future. Views, nature and park are key words and everything about illustration that are especially emphasized even on the headlines of newspaper advertisements. 2. Unlike brands or headlines, sub-headlines and body copies stress $\ulcorner$modern-oriented$\lrcorner$ characteristics for life, culture, and accessibility, followed by $\ulcorner$emotion-oriented$\lrcorner$ characteristics. Key words on caption were also highly $\ulcorner$modern-oriented$\lrcorner$, followed by $\ulcorner$environment-oriented$\lrcorner$ and $\ulcorner$function-oriented$\lrcorner$ characteristics for practical aspects. 3. In result of $X^2-test$, $\ulcorner$environment-oriented$\lrcorner$ key words that convey good views, naturalism, parks, and nature are the major representation of green marketing strategies of apartment brands and newspaper advertisements. However, brands were strongly $\ulcorner$emotion-oriented$\lrcorner$, whereas captions were $\ulcorner$modern-oriented$\lrcorner$ and body copies were $\ulcorner$investment-oriented$\lrcorner$. Both apartment brands and advertisements were consistently $\ulcorner$environment-oriented$\lrcorner$, but were not consistent in other factors. 4. Different parts of newspaper advertisements are focusing on green marketing strategies in terms of environmental protection, but are actually leaning toward modern-oriented lifestyles and accessibility. Thus, it is more well-being marketing rather than green marketing. To pursue true green marketing despite the limits of newspaper advertisements, it is necessary to present products and pricing strategies that represent sustainable.

국내 간호학에서 성(sexuality)에 관한 연구 경향 (Trends in Nursing Research on Sexuality in Korea)

  • 이경혜;김선희;이선희
    • 여성건강간호학회지
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    • 제14권2호
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    • pp.83-92
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    • 2008
  • Purpose: This study aimed to analyze the trends in nursing research on sexuality in Korea and to provide guidance to the future research in sexual health. Method: Total 163 published articles in Korea from 2000 to 2007 year were reviewed using a structured analysis form which consists of the domains of nursing journal, research designs, research purpose, research subjects, and the key words. Result: Of those articles, 25.8% was published in J. of Korean Academy of Women Health Nursing and 13.5% in J. of Korean Academy of Community Health Nursing. In terms of the research design, quantitative research methods were commonly used in 88.4% of them which only 6.1% used qualitative methods. The nursing process on purpose were classified assessment(86.3%), nursing intervention(11.3%), and nursing evaluation(2.5%); Most of subjects were early adults(35.3%), adolescents(27.9%), and adults(25.6%); The most frequently reported key words were classified into socio-psychological domain(33.5%), cognitive domain(25.6%), clinical domain(12.6%). Conclusion: Research on sexuality in nursing have been continued. The major key words were founded in socio-psychological and cognitive domains. It is recommended that more various subjects, research methodology, and various key words be investigated.

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키워드 네트워크 분석을 통해 살펴본 초등학생이 인식하는 과학 학습 참여의 의미 (Exploration on Elementary Students' Perceptions of Science Learning Engagement Using Keyword Network Analysis)

  • 임희준
    • 한국초등과학교육학회지:초등과학교육
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    • 제39권2호
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    • pp.255-267
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    • 2020
  • Students' engagement is important for meaningful learning and it has multifaceted aspects for their science learning. This study investigated elementary students' perceptions of science learning engagement. The subjects of this study were 341 4th to 6th elementary students. The survey questionnaires were 5-Likert scale questions and free response questions on science learning engagement. The results showed that elementary students' perceptions of behavioral engagement were higher than emotional and cognitive engagement. Keyword network analysis with NetMiner program showed that the frequent key words of science learning engagement were 'experiment', 'listening', and 'teachers' explanation', which were mostly the behavioral types of engagement. The degree centrality and eigenvector centrality of these key words appeared high. 'Interest', which is emotional engagement, were also one of the frequent key words, but the centralities of this word were relatively low. The Frequent key words of science learning disengagement were mostly related with off-tasks, not doing expected behaviors and negative emotions about science and science learning. Educational implications on science learning engagement were discussed.

패션 이미지어(語)의 연상 어휘 분석을 통한 디자인 발상차원에 관한 연구 -클래식, 아방가르드 이미지어를 중심으로- (A Study on the Dimension of Design Idea through the Analysis of Words that Remind of Fashion Image Words -Focusing on Classic and Avant-garde Imaged Language-)

  • 김윤경
    • 한국의류학회지
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    • 제44권3호
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    • pp.413-426
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    • 2020
  • This study researches the association between associative vocabulary and fashion image language in order to extract ideas that can be used as basic data for design ideas. Classic - avant-garde imaged language were chosen as theme words and each 70 questionnaires per a final image word were used for analysis. We obtained the following results by researching keywords that explained classic image words through a word cloud technique. It was found to have high central representation in the order of suit, classical, basic, music, Chanel, black and traditional. The core key words explaining avant-garde image language were found to have a central representation in the order of : peculiar, huge, Comme des Garçons, artistic, creative, deconstruction and individuality. We extracted the necessary idea dimensions needed for design ideas through associative network graph analysis. In the case of classical image language, it was named as the Mannish Item, Music, Modern Color, and the Traditional Classicality dimensions. In the case of avant-garde image language, it was named as the Key Image, Artistic Aura, Key Design and Designers dimensions.

20, 30대 여성을 타겟으로 하는 국내 어패럴 프린트 디자인 분석 - 2010년부터 2013년까지 트렌드를 중심으로 - (Analysis for target age 20' & 30' women's apparel print design - Revolve around trend from 2010 to 2013 -)

  • 임소영;서은영;김민정;박선경
    • 복식문화연구
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    • 제22권3호
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    • pp.481-502
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    • 2014
  • This study intended to identify the relationship between textile print designs for local apparel, and fashion trends. This was achieved by extracting trend key words and analyzing apparel textiles. The fashion trends and print trends from the 2010S/S season to the 2013F/W season as projected by two trend forecasters, the Samsung Fashion Institute and First View Korea, were extracted for a comparative analysis. In terms of clothing patterns, a total of 1,582 print designs purchased by local apparel brands targeting women in their 20s and 30s from print design companies including Italy's NEWAGE, MyDesign and England's Pattern, were analyzed. After classifying the designs according to the trend key words which had been extracted, the demands by season, trend dependency, and design preferences were analyzed to produce the following results. The major key words for textile print designs from the 2010S/S season to the 2013F/W season were Check & Stripe, Flower, Geometric, Natural, Ethnic, and Graphical. Patterns corresponding to those design key words were more prominent in recent designs. Considering the trends by season, the designs presented in the F/W season were found to be more likely to correspond to the trend key words than those in the S/S season. A general preference for nature-inspired designs was also found in the local print market.

편수 자료 이전의 수학 용어에 대해 (On the Mathematical Terminology before the First Editing Material)

  • 허민
    • 한국수학사학회지
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    • 제31권3호
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    • pp.111-126
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    • 2018
  • At present, most of school mathematical terms in elementary and secondary curriculums of Korea are Sino-Korean words. 1964 Mathematical Editing Material, which aimed to unify mathematical terms into mainly Sino-Korean words, was considered a key factor for this situation. 1964 Editing Material depended heavily on 1956 Mathematical Terminology, which contains a lot of Korean native words and displays the school mathematical terms after 1945. There are many Korean native words in the Second Mathematical Curriculum. This shows that Korean native words of mathematics had been consolidated to some extent at that time. In North Korea, a lot of Korean native words are still used in mathematics. Some Sino-Korean words were recently changed to Korean native words in South Korea. 1956 Mathematical Terminology tells the method to make Korean native words of mathematics and will be an excellent guide for making Korean native words.

문서지문기법을 이용한 웹 문서의 자동 분류

  • 김진화
    • 한국경영과학회:학술대회논문집
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    • 한국경영과학회 2004년도 추계학술대회 및 정기총회
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    • pp.407-429
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    • 2004
  • As documents in webs are increasing explosively due to the rapid development of electronic documents, an efficient system classifying documents automatically is required. In this study, a new document classification method, which is called Document Finger Print Method, is suggested to classify web documents automatically and efficiently. The performance of the suggested method is evaluated alone with other existing methods such as key words based method, weighted key words based method, neural networks, and decision trees. An experiment is designed with 10 documents categories and 59 randomly selected words. The result shows that the suggested algorithm has a superior classifying performance compared to other methods. The most important advantage of this method is that the suggested method works well without the size limits of the number of words in documents.

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한국의 중남미 지역연구 네트워크와 중심성 및 무역과 경제에 대한 토픽 변동분석 (Network, Centrality, and Topic Analysis on Korea's Trade and Economy with Latin America and the Caribbean Area)

  • 이재득
    • 무역학회지
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    • 제47권6호
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    • pp.189-209
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    • 2022
  • This study aims to analyze Latin America and the Caribbean papers published in Korea during the past 2000-2020 years. Through this study, it is possible to understand the main subject and direction of research in Korea's Latin America and the Caribbean area. As the research mythologies, this study uses the text mining and Social Network Analysis such as frequency analysis, several centrality analyses, and topic analysis. After analyzing the empirical results, there has been a tendency to change the key words and centrality coefficients between 2000-2010 and 2011-2020 years. During 2011-2020 years, the most frequent keywords were changed from Neoliberalism and culture to policy education, and economy related words. The degree and closeness centrality analyses appeared the higher frequency key words. However, the eigenvector centrality appeared very different from the order of frequency key words. The topic analysis shows that the culture, language, and Neoliberalism were the most important keywords during 2000-2010 years but economy, labor trade, industry, development became the most important keywords during 2011-2020 years in topics.