• Title/Summary/Keyword: Association Keyword Analysis

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Research Trends of Randomized Clinical Trial for Insomnia Using the Network Analysis (네트워크 분석을 이용한 불면의 무작위임상시험 해외 연구 동향)

  • Baek, Younghwa;Jin, Hee-Jeong
    • The Journal of the Korea Contents Association
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    • v.13 no.12
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    • pp.1036-1047
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    • 2013
  • In this study, we applied the time series analysis to the randomized controlled trial (RCT) researches related to insomnia for finding international trends. The data used in the analysis of 379 of ClinicalTrials, Web of Science was the of 132 by several keyword related with 'Insomnia' and 'Randomized Clinical Trial'. In ClinicalTials, RCT studies for insomnia, drug, cognitive behavioral therapy, depression were the key words make up the main network. In WOS, 'melatonin' key word was added in the main network. In addition to, we found the characteristic that the elderly and female subjects were steady studied.

Overseas Research Trends Related to 'Research Ethics' Using LDA Topic Modeling

  • YANG, Woo-Ryeong;YANG, Hoe-Chang
    • Journal of Research and Publication Ethics
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    • v.3 no.1
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    • pp.7-11
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    • 2022
  • Purpose: The purpose of this study is to derive clues about the development direction of research ethics and areas of interest which has recently become a social issue in Korea by confirming overseas research trends. Research design, data and methodology: We collected 2,760 articles in scienceON, which including 'research ethics' in their paper. For analysis, frequency analysis, word clouding, keyword association analysis, and LDA topic modeling were used. Results: It was confirmed that many of the papers were published in medical, bio, pharmaceutical, and nursing journals and its interest has been continuously increasing. From word frequency analysis, many words of medical fields such as health, clinical, and patient was confirmed. From topic modeling, 7 topics were extracted such as ethical policy development and human clinical ethics. Conclusions: We founded that overseas research trends on research ethics are related to basic aspects than Korea. This means that a fundamental approach to ethics and the application of strict standards can become the basis for cultivating an overall ethical awareness. Therefore, academic discussions on the application of strict standards for publishing ethics and conducting researches in various fields where community awareness and social consensus are necessary for overall ethical awareness.

A Study of Consumer Perception on Freediving Suits Utilizing Big Data Analysis (빅데이터 분석을 활용한 프리다이빙 슈트에 대한 소비자 인식 연구)

  • Ji-Eun Kim;Eunyoung Lee
    • Journal of the Korea Fashion and Costume Design Association
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    • v.26 no.2
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    • pp.87-99
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    • 2024
  • Freediving, an underwater leisure sport that involves diving without the use of a breathing apparatus, has gained popularity among younger demographics through the viral spread of images and videos on social media platforms. This study employs prominent Big Data analysis techniques, including text mining, Latent Dirichlet Allocation (LDA) topic analysis, and opinion mining to explore the keywords associated with freediving suits over the past five years. The research aims to analyze the rapidly evolving market trends of freediving suits and the increasingly complex and diverse consumer perceptions to provide foundational data for activating the freediving suit market and developing strategies for sustained growth. The study identified the keyword 'size' related to freediving suits and conducted opinion mining on 'freediving suit sizes'. Although the results showed a higher positive than negative sentiment, negative keywords were also extracted, indicating the need to understand and mitigate the negative factors associated with 'size'. The findings offer vital guidelines for the advancement of the freediving suit market and enhancing consumer satisfaction. This study is important as it contributes foundational data for continuous growth strategies of the freediving suit market.

Conceptualization of IT Humanities through Keyword Topic Modeling (주제어 토픽모델링을 통한 IT 인문학 개념의 정립)

  • Youngmi Choi;Namje Park
    • Journal of The Korean Association of Information Education
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    • v.26 no.5
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    • pp.467-480
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    • 2022
  • This paper aimed to explore research trends for the conceptualization of IT humanities. Reflecting domestic and international references which focused on the possibility of the integration of digital technology and humanities, the authors examined the beginning, background, and relevant concepts of IT humanities to figure out the meaning and the research trends. In addition, using the search word "IT humanities," the authors analyzed network topics of the keywords retrieved from 1,566 KCI and 64 SCI journal articles published since 2001. The concept of IT humanities in the previous studies has tended to associate with competencies that allow considering various fields of IT based on the lens of humanities perspectives. The result of the topic modeling revealed four groups as fields to be integrated with IT humanities, methods of implementation, connections of literature or culture, and creations of IT humanities. Instead of instrumentalization or merger by one stance of IT or humanities, it is imperative to collaboratively work for the generation of a new viewpoint through mutual respect of disciplines.

Forecasting Emerging Technology in AMOLED Using Keyword Quantitative Analysis Based on Textmining (텍스트 마이닝 기반의 특허키워드정량분석을 이용한 AMOLED 부상기술 예측)

  • Choe, do-han;Kim, gab-jo;Park, sang-sung;Jang, dong-sik
    • Proceedings of the Korea Contents Association Conference
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    • 2013.05a
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    • pp.365-366
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    • 2013
  • 국가나 기업의 연구개발 사업에 있어서 기술예측의 중요성이 더욱 커짐에 따라 그 방법들 또한 다양해지고 있다. 그 중 한 방법으로 특허정보를 분석하여 미래 기술의 향방을 예측하는 방법이 있다. 본 논문에서는 텍스트 마이닝을 이용하여 특허문서에서 키워드를 추출하고 그 키워드들의 평균과 표준편차를 이용한 중요도와 시계열 자료를 이용한 부상도를 분석하여 부상기술을 예측해 보고자 한다. 이를 통해 기술예측 시 보다 신속하고 객관적인 판단을 가능케 하고자 한다.

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Exploring 'Tradition' Terminology Trends based on Keyword Analysis (1920~2017) (키워드 분석 기반 '전통' 용어의 트렌드 분석 (1920~2017))

  • Kim, Min-Jeong;Kim, Chul Joo
    • The Journal of the Korea Contents Association
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    • v.18 no.12
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    • pp.421-431
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    • 2018
  • The purpose of this study is to analyze the trends of 'traditional' terminology in Korea. We focus on an empirical investigation of how media reports are conveying 'tradition' terminology in our society by applying text mining and social network analysis techniques. The analysis covered 2,481,143 news articles related to 'tradition' terminology that appeared in the media since the 1920's. In this research, frequency analysis, association analysis and social network analysis were used on articles related to 'tradition' terminology from 1920 to 2017 by decade. By applying these data science techniques, we can grasp the meaning of social culture phenomenon related 'tradition' with objective and value-neutral position and understand the social symbolism which contains the tradition of the times.

A Study on the Change of Perceptions of Child Abuse Before and After Special Law (아동학대 범죄의 처벌 등에 관한 특례법 전후의 아동학대 인식 변화에 대한 고찰)

  • Lee, Keung-Eun;Kim, Do-Hee
    • The Journal of the Korea Contents Association
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    • v.19 no.9
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    • pp.629-636
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    • 2019
  • In order to infer whether the Special Act on the Punishment of Child Abuse Crimes, etc. actually brought about a change in the social perception shared about child abuse in our society, we used big data to examine the change in the perception of child abuse by the public. This study selected 'child abuse' as the keyword and collected and analyzed. The results of this study are as follows. First, before the implementation of the Special Act in 2013, the words "china" are kindergarten, teacher, body, problem, reporting obligation and neglect compared to the following. After the implementation of the special law, daycare centers, incidents, eradication, campaigns, domestic violence and preventive education were newly introduced. Second, the interconnection of key words in the previous picture of 2013 shows that the left group focuses on measures to introduce to prevent child abuse while the right group consists of keyword intended to view child abuse in conjunction with domestic violence. They are still seen as a group of divorces, discipline, neglect and parental education, which they still perceive as a family problem. Since the implementation of the Special Act in 2013, it will be divided into four groups, and the top group will be highlighted by the keyword related to child abuse cases, part of suspected cases and awareness of child abuse. In addition, the Act on the Special Cases of Child Abuse and the Child Protection Agency clearly appear as a child protection system.

Topic Modeling Analysis of Beauty Industry using BERTopic and LDA

  • YANG, Hoe-Chang;LEE, Won-Dong
    • The Journal of Economics, Marketing and Management
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    • v.10 no.6
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    • pp.1-7
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    • 2022
  • Purpose: The purpose of this study is identifying the research trends of degree papers related to the beauty industry and providing information which can contribute to the development of the domestic beauty industry and the direction of various research about beauty industry. Research design, data and methodology: This study used 154 academic papers and 189 academic papers with English abstracts out of 299 academic papers. All of these papers were found by searching for the keyword "beauty industry" in ScienceON on August 15, 2022. For the analysis, BERTopic and LDA (Latent Dirichlet Allocation) analysis were conducted using Python 3.7. Also, OLS regression analysis was conducted to understand the annual increase and decrease trend of each topic derived with trend analysis. Results: As a result of word frequency analysis, the frequency of satisfaction, management, behavior, and service was found to be high. In addition, it was found that 'service', 'satisfaction' and 'customer' were frequently associated with program and relationship in the word co-occurrence frequency analysis. As a result of topic modeling, six topics were derived: 'Beauty shop', 'Health education', 'Cosmetics', 'Customer satisfaction', 'Beauty education', and 'Beauty business'. The trend analysis result of each topic confirmed that 'Beauty education' and 'Health education' are getting more attention as time goes by. Conclusions: The future studies must resolve the extreme polarization between the structure of the small beauty industry and beauty stores. Furthermore, the researches have to direct various ways to create the performance of internal personnel. The ways to maximize product capabilities such as competitive cosmetics and brands are also needed attentions.

Unit Planning of Single Undergraduate Student's Rental Housing Corresponding to their Life Pattern and Housing Needs (대학생 1인 가구의 생활패턴 및 주거요구에 따른 대학생 전용 임대주택 평면계획방안)

  • Han, Jee-Hee;Yoon, Chung-Sook
    • Journal of the Korean housing association
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    • v.22 no.4
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    • pp.93-102
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    • 2011
  • The purpose of this study is to suggest unit design considerations for college student's rental houses. To achieve this purpose, life pattern, residential space usage and housing needs were investigated. Data were collected by in-person interviews. Interview participants were 37 single undergraduate students living near the Shinchon station subway line 2. Subjects were selected by housing types-a Gosiwon, a boarding house or an one-room house-. Qualitative approaching method was used, and quantitative analysis was additionally employed to count keyword found during the interviews. SPSS window version 14.0 was used for the descriptive statistics and the analysis of the items with multi-response analysis. The major findings are as follows; a personal space for each resident with a common kitchen and a bathroom was mostly desired for the unit. Therefore, Two diagrams would be used as examples to explain the new concept of unit planning.

Research Analysis on STEAM Education with Digital Technology in Korea to Prepare for Post-Corona Era Education

  • Hyun, Jung Suk;Park, Chan Jung
    • International Journal of Contents
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    • v.16 no.3
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    • pp.101-110
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    • 2020
  • Problem solving in real life is a core competency commonly adopted in several subjects recently. The real-world problems were rarely resolved with only one domain of knowledge. Thus, convergence education is becoming a trend in many countries. As on-line education is revitalized because of COVID-19, the need for changes to STEAM education is emerging. In December 2019, the on-line education systems quickly settled in schools because of COVID-19. During the first semester of 2020, most school education was conducted as virtual/distance learning classes. It is necessary to analyze how much technology has been used in the STEAM classes in Korea. This paper analyzes the research papers related to the STEAM education in Korea conducted in the last 10 years. By doing this, we analyze what kind of edutechs we were interested in, what kind of STEAM education actually occurred, and to whom it was conducted. The previous research papers analyzed in this paper are the papers in the Korea Citation Index accredited journals and candidate journals. Finally, this paper proposes educational changing factors to be considered for future technology-based STEAM education.