• Title/Summary/Keyword: Distinctive keywords

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A Comparative Analysis on Keywords of International and Korean Journals in Library and Information Science (국내외 문헌정보학 저널의 키워드 비교 분석)

  • Kim, Eungi
    • Journal of Korean Library and Information Science Society
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    • v.48 no.1
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    • pp.207-225
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    • 2017
  • 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.

Semantic Network Analysis on the MIS Research Keywords: APJIS and MIS Quarterly 2005~2009

  • Lee, Sung-Joon;Choi, Jun-Ho;Kim, Hee-Woong
    • Asia pacific journal of information systems
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    • v.20 no.4
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    • pp.25-51
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    • 2010
  • This study compares and contrasts the intellectual development of the MIS field in Korea from 2005 to 2009 to that of international trends by using a keyword co-occurrence network analysis of the two flagship journals: APJIS and MIS Quarterly. From 316 research articles in these two journals, 132 unique and most frequently co-occurred keywords were put into analysis. The results of structural equivalence show a mild correlation between APJIS and MIS Quarterly. The e-commerce, trust, and technology adoption are the high frequency keywords in both journals. In Korea e-learning, purchasing, and recommendation systems turn out to be important keywords while outsourcing, research method, quantitative method, design research, information theory, and empirical research are in average international journals. This connotes that the Korean scholarship tends to focus more on practically oriented topics, but the clustering and relational mapping of research topics in each journal show a mild level of overlap with distinctive orientations due to intrinsic disparities depending on the concerned journals' geographical scopes, namely domestic or global.

Study on the Trends of U-City and Smart City Researches using Text Mining Technology (텍스트마이닝 기법을 이용한 U-City와 Smart City의 연구 동향에 대한 분석)

  • Lim, Si Yeong;Lim, Yong Min;Lee, Jae Yong
    • Journal of Korean Society for Geospatial Information Science
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    • v.22 no.3
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    • pp.87-97
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    • 2014
  • City is currently developing into intelligent city which adopts the ICT technology to resolve the problems and increase the competitiveness. This intelligent city is promoted under the name of U-City or Smart City, yet it is also criticized in the trend for what the differences between U-City and Smart City are. In this study, we draws the differences between U-City and Smart City from our distinctive research method, text mining which analyzes the trend of research papers, and contribute to direction of U-City study in the future. Through this analysis, the study results in that U-City focuses practical implementation in domestic cities while Smart City focuses technological development and provision of single service. However, this paper has a limitation as the subjective opinion was reflected to configure the sets of keywords, and only keywords and s were analyzed. Therefore, further studies are needed to confirm the differences between U-City and Smart City with related research papers and reports.

Analysis of the National Police Agency business trends using text mining (텍스트 마이닝 기법을 이용한 경찰청 업무 트렌드 분석)

  • Sun, Hyunseok;Lim, Changwon
    • The Korean Journal of Applied Statistics
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    • v.32 no.2
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    • pp.301-317
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    • 2019
  • There has been significant research conducted on how to discover various insights through text data using statistical techniques. In this study we analyzed text data produced by the Korean National Police Agency to identify trends in the work by year and compare work characteristics among local authorities by identifying distinctive keywords in documents produced by each local authority. A preprocessing according to the characteristics of each data was conducted and the frequency of words for each document was calculated in order to draw a meaningful conclusion. The simple term frequency shown in the document is difficult to describe the characteristics of the keywords; therefore, the frequency for each term was newly calculated using the term frequency-inverse document frequency weights. The L2 norm normalization technique was used to compare the frequency of words. The analysis can be used as basic data that can be newly for future police work improvement policies and as a method to improve the efficiency of the police service that also help identify a demand for improvements in indoor work.

Evaluating the Characteristics of Subversive Basic Fashion Utilizing Text Mining Techniques (텍스트 마이닝(text mining) 기법을 활용한 서브버시브 베이식(subversive basics) 패션의 특성)

  • Minjung Im
    • Journal of Fashion Business
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    • v.27 no.5
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    • pp.78-92
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    • 2023
  • Fashion trends are actively disseminated through social media, which influences both their propagation and consumption. This study explored how users perceive subversive basic fashion in social media videos, by examining the associated concepts and characteristics. In addition, the factors contributing to the style's social media dissemination were identified and its distinctive features were analyzed. Through text mining analysis, 80 keywords were selected for semantic network and CONCOR analysis. TF-IDF and N-gram results indicate that subversive basic fashion involves transformative design techniques such as cutting or layering garments, emphasizing the body with thin fabrics, and creating bold visual effects. Topic modeling suggests that this fashion forms a subculture that resists mainstream norms, seeking individuality by creatively transforming the existing garments. CONCOR analysis categorized the style into six groups: forward-thinking unconventional fashion, bold and unique style, creative reworking, item utilization and combination, pursuit of easy and convenient fashion, and contemporary sensibility. Consumer actions, linked to social media, were shown to involve easily transforming and pursuing personalized styles. Furthermore, creating new styles through the existing clothing is seen as an economic and creative activity that fosters network formation and interaction. This study is significant as it addresses language expression limitations and subjectivity issues in fashion image analysis, revealing factors contributing to content reproduction through user-perceived design concepts and social media-conveyed fashion characteristics.

The Impact of Message Characteristics on Online Viral Diffusion in Online Social Media Services : The Case of Twitter (트위터 메세지 특성에 따른 온라인 구전효과에 대한 분석)

  • Nam, Young-Woo;Son, In-Soo;Lee, Dong-Won
    • Journal of Intelligence and Information Systems
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    • v.17 no.4
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    • pp.75-94
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    • 2011
  • In this paper, we explore the information diffusion mechanism under social network environments by investigating the effect of message characteristics on the volume and speed of retweeting in Twitter, a popular online social media service. To this end, we select eight main keywords (i.e., '무상급식', '반값등록금', '나가수', '평창', '김연아', '박태환', '아이폰', '갤럭시') that have been popular on online social media in recent days. Each keyword represents various social aspects of Korea that recently grab people's attention such as political issues, entertainment, sports celebrities, and the latest digital products, and eventually holds distinctive message characteristics. Analyzing the frequency and velocity of retweeting for each keyword, we find that more than half of the sample messages posted on Twitter contain personal opinions for the certain keyword, but we also find that the tweets which include objective messages with hyperlink are the fastest ones when being retweeted by other followers. In overall, when being retweeted, the group of messages related to the certain keyword present distinctive diffusion patterns and speed according to message characteristics. From academic perspective, the findings in the study broaden our theoretical knowledge of information diffusion mechanism over online social media. For practitioners, the results also provide managerial implications regarding how to strategically utilize online social media for marketing communications with customers.

Exploring Fashion Trends Using Network Analysis (사회연결망 분석을 활용한 패션 트렌드 고찰)

  • Park, Jisoo;Lee, Yuri
    • Journal of the Korean Society of Clothing and Textiles
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    • v.38 no.5
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    • pp.611-626
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    • 2014
  • Reading and foreseeing fashion trends is crucial and difficult in the fashion industry due to accelerated and diversified changes in fashion trends. We use network analysis to investigate fashion trends from 2004 to 2013 in order to find the inter-relevance among fashion trends. We extracted words from fashion trend info for women's wear provided by Samsung Design Net, created a 2-mode network of seasons and trend languages, and visualized this network using NodeXl program. Fashion trends repeated a unique pattern during the period. In the first half (2004-2008), retro modern, feminine modern, and ecological modern were dominant trends in consecutive order. The years 2009-2013 witnessed distinctive fashion trends in S/S seasons and in F/W seasons. 11F/W, 12F/W and 13F/W seasons were characterized by artistic creative style. From 2010, natural style dominated S/S seasons. 10S/S and 12S/S seasons were distinguished as a calm natural style that reflected a peaceful and simple life. In 11S/S and 13S/S seasons, soft natural style emerged as a sign of increased importance of inner spirit and natural energy. A seasonal reappearance of trends was observed every two years in S/S seasons that enabled the prediction that 14S/S will see another version of natural style. A macroscopic trend for the last 10 years was represented by the keywords 'modern' and 'natural'. 'Modern' involved the past styles such as 60's, Baroque and the origin of human life. 'Natural' was connected with design elements such as material, silhouette and color. Managerial implications and future study directions are discussed based on the results.

Bibliographic Analysis of Articles Published in Journal of Korean Clinical Nursing Research from 2009 to 2015 (임상간호연구 게재논문 분석: 2009년부터 2015년까지)

  • Kim, Yeon Hee;Jeong, Geum Hee;Kwon, In Gak;Kim, Kwang Sung;Moon, Seong Mi;Lee, Jung Lim;Park, Young A
    • Journal of Korean Clinical Nursing Research
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    • v.23 no.1
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    • pp.73-82
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    • 2017
  • Purpose: The aim of this study was to identify bibliographic characteristics and research trends of articles published in the Journal of Korean Clinical Nursing Research from 2009 to 2015. Methods: Descriptive statistics were used to analyze 268 articles. Bibliographic characteristics, appropriateness of methods for quantitative and qualitative studies, and key concepts of articles were analyzed. Results: A clinical nurse was the first author for 184 (66.7%) articles. The number of collaborative works between hospital and university was 184 (68.7%). Study participants were patients (120, 38.1%), nurses (115, 36.5%) and others. IRB approval was given for 156 articles (58.2%). Written informed consent was obtained in 125 articles (46.7%). Quantitative research accounted for 98.6% of the articles but qualitative studies only 4 (1.4%). Types of interventions in the experimental studies were nursing skills (43, 42.6%) and health education (32, 31.7%). Major keywords were nurses, pain, knowledge, intensive care unit, anxiety, depression, fatigue, and stress. Conclusion: Articles in this journal deal with topics and concepts confronted in nursing practice so experimental studies on applicability of nursing interventions were frequently published. Findings in this study indicate that the authors published in the journal contribute to the development of nursing with characteristics distinctive from other nursing journals published in Korea.

A study on camping brand's BI formation and branding strategy - Focused on related word research based on big data for sensible approach & market research for cognitive approach (캠핑 브랜드의 브랜드 아이덴티티(BI) 구축 및 전략 - 감성·인지적 접근을 기반으로 한 빅 데이터 및 마켓조사를 중심으로 -)

  • Choi, Soo-Ah;Lee, Ae-Jin
    • Journal of Communication Design
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    • v.63
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    • pp.336-347
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    • 2018
  • Nowadays, in Korea, the number of campers is increased over 5 million. Many Korean camping brands have excellent qualities however, a lot of times weak brand identities to be globally known. The purpose of this study is to provide helpful sources to have strong brand identities, add more values based on related word research from big data and market research. The data is to be analysed by sensible & cognitive approaches. The keywords for the sensible research are 'camping, camp, camping brand, and camping design'. Then 17 representative oversea brands and 10 Korean brands were analysed for the market researches. From related word research from big data, we can find out the thinking process of potential consumers, how people communicates to exchange information, and what can be the sources to add brand values. Also from the market researches, we were able to find that successful brands have distinctive brand identities, stories, logos with representable colors and they continuous produce signature designs and own way of color matching.

Definition, Consumer Awareness, and Utilization of By-products from Food Supply Chain (업사이클드 푸드: 정의, 소비자 인식 및 식품공급망에서 발생하는 부산물의 활용)

  • Jung-In Kim;Seung-hyeon Jeong;Min-jae Kim;Yea-won Oh;Do-Kyun Kim;Sung Nim Han
    • Journal of the Korean Society of Food Culture
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    • v.38 no.4
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    • pp.191-202
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    • 2023
  • Food upcycling has emerged as an effective approach to sustainably utilize the food waste generated within the food supply chain. This review article examines upcycled food with respect to its definition, consumers' knowledge and perception on it, and the process by which by-products from the food supply chain are utilized for the creation of upcycled food products. The definition of upcycled food varied among manufacturers, research institutions, and the Upcycled Food Association, depending on the specific values and objectives of each sector. This has resulted in the use of different keywords to highlight the distinctive characteristics of their respective interpretations of upcycled food. This review also summarizes the various consumer traits that can influence the awareness and acceptance of upcycled food, encompassing functional, empirical and emotional, symbolic and self-expressive, and economic benefits. Additionally, the review presents strategies to utilize by-products produced in large quantities in Korea, while also addressing the control of hazardous components to ensure biological or chemical safety and the changes in nutritional value that may occur during the utilization of these byproducts.