• Title/Summary/Keyword: 워드 클라우드 분석

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The Research Features Analysis of Leisure and Recreation based on Co-authors Network and Topic Model (공저자 네트워크 및 토픽 모델링 기반 여가레크리에이션 학술 연구 특징 분석)

  • Park, SungGeon;Park, Kwang-Won;Kang, Hyun-Wook
    • 한국체육학회지인문사회과학편
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    • v.57 no.2
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    • pp.279-289
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    • 2018
  • The purpose of this study is to investigate features of leisure and recreation scholarship study in The Korean Journal of physical education based on co-authors network and topic modeling through using Word Cloud and LDA Topic Modeling(Latent Dirichlet Allocation). The data collected for this study are 2,697 papers published online from January 2008 to March 2017 on the Korean journal of physical education. Respectively ordered analysis targets are the major author, author of correspondence, co-author 1, co-author 2, co-author n in related document to explore studies' trends using the 369 documents. As a result, the co-author network analysis result found that 451 were linked to the research network, on average researchers had 1.52 relationships and the average distance between researchers was 2.33. The Representative author's concentration of connection was ranked high in the order of the following, Lee. K. M., Hwang. S. H., H., Lee. C. S., and proximity centers were shown in Seo K. B., Han. J. H., Kim. K. J. Finally, parameter-centric features appeared in order of Lee. C. W. and Seo. K. B. was most actively connected between the researchers of the leisure-related academic papers. Future research needs discussions among scholars regarding the trend and direction of future leisure research.

Analysis of Sea Trial's Title for Naval Ships Based on Big Data (빅데이터 기반 함정 시운전 종목명 분석)

  • Lee, Hyeong-Sin;Seo, Hyeong-Pil;Beak, Yong-Kawn;Lee, Sang-Il
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.11
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    • pp.420-426
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    • 2020
  • The purpose and main points of the ROK-US Navy were analyzed from various angles using the big data technology Word Cloud for efficient sea trials. First, a comparison of words extracted through keyword cleansing in the ROK-US Navy sea trial showed that the ROK Navy conducted a single equipment test, and the US Navy conducted an integrated test run focusing on the system. Second, an analysis of the ROK-US Navy sea trials showed that approximately 66.6% were analyzed as similar items, of which more than two items were 112 items Approximately 44% of the 252 items of the ROK Navy sea trials overlapped, and that 89 items (35% of the total) could be reduced when integrated into the US Navy sea trials. A ship is a complex system in which multiple equipment operates simultaneously. The focus on checking the functions and performance of individual equipment, such as the ROK Navy's sea trials, will increase the sea trial period because of the excessive number of sea trial targets. In addition, the budget required will inevitably increase due to an increase in schedule and evaluation costs. In the future, further research will be needed to achieve more efficient and accurate sea trials through integrated system evaluations, such as the U.S. Navy sea trials.

A Comparative Analysis of Cognitive Change about Big Data Using Social Media Data Analysis (소셜 미디어 데이터 분석을 활용한 빅데이터에 대한 인식 변화 비교 분석)

  • Yun, Youdong;Jo, Jaechoon;Hur, Yuna;Lim, Heuiseok
    • KIPS Transactions on Software and Data Engineering
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    • v.6 no.7
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    • pp.371-378
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    • 2017
  • Recently, with the spread of smart device and the introduction of web services, the data is rapidly increasing online, and it is utilized in various fields. In particular, the emergence of social media in the big data field has led to a rapid increase in the amount of unstructured data. In order to extract meaningful information from such unstructured data, interest in big data technology has increased in various fields. Big data is becoming a key resource in many areas. Big data's prospects for the future are positive, but concerns about data breaches and privacy are constantly being addressed. On this subject of big data, where positive and negative views coexist, the research of analyzing people's opinions currently lack. In this study, we compared the changes in peoples perception on big data based on unstructured data collected from the social media using a text mining. As a results, yearly keywords for domestic big data, declining positive opinions, and increasing negative opinions were observed. Based on these results, we could predict the flow of domestic big data.

Classification of Public Perceptions toward Smog Risks on Twitter Using Topic Modeling (Topic Modeling을 이용한 Twitter상에서 스모그 리스크에 관한 대중 인식 분류 연구)

  • Kim, Yun-Ki
    • Journal of Cadastre & Land InformatiX
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    • v.47 no.1
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    • pp.53-79
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    • 2017
  • The main purpose of this study was to detect and classify public perceptions toward smog disasters on Twitter using topic modeling. To help achieve these objectives and to identify gaps in the literature, this research carried out a literature review on public opinions toward smog disasters and topic modeling. The literature review indicated that there are huge gaps in the related literature. In this research, this author formed five research questions to fill the gaps in the literature. And then this study performed research steps such as data extraction, word cloud analysis on the cleaned data, building the network of terms, correlation analysis, hierarchical cluster analysis, topic modeling with the LDA, and stream graphs to answer those research questions. The results of this research revealed that there exist huge differences in the most frequent terms, the shapes of terms network, types of correlation, and smog-related topics changing patterns between New York and London. Therefore, this author could find positive answers to the four of the five research questions and a partially positive answer to Research question 4. Finally, on the basis of the results, this author suggested policy implications and recommendations for future study.

Analysis of Major Changes in Press Articles Related to 'High School Credit System'

  • Kwon, Choong-Hoon
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.7
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    • pp.183-191
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    • 2020
  • The purpose of this study is to objectively analyze the trend of media articles related to the 'high school credit system' (2017~2019: 3 years), which has become the biggest concern among Korean education policies, through BIGKinds, a news data big data analysis service for media companies. The main research methodologies were BIGKinds system's specific search term news search, news trend analysis, keyword extraction and wordcloud implementation, network analysis and network picture presentation. The research results are as follows; First, the number of articles related to the high school credit system that appeared in major media outlets in Korea for 3 years from 2017 to 2019 was 3,649. The number of articles was sharply increased at a certain point about 4 times, based on the government's announcement of related policies. It showed an increasing news trend. Second, the top 20 keywords that emerged from the press articles related to the high school credit system for 3 years of analysis were presented, and it was confirmed that the keyword change by year appeared. Third, the network of media articles related to the high school credit system was visualized and presented in different ways by person, institution, and keyword. The results of this study confirmed that the high school credit system education policy was adopted as the representative education policy of the Moon Jae-in government, and is proceeding in the policy decision stage and policy implementation stage.

Analysis on Trend of Study Related to Computational Thinking Using Topic Modeling (토픽 모델링을 이용한 컴퓨팅 사고력 관련 연구 동향 분석)

  • Moon, Seong-Yun;Song, Ki-Sang
    • Journal of The Korean Association of Information Education
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    • v.23 no.6
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    • pp.607-619
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    • 2019
  • As software education was introduced through the 2015 revised curriculum, various research activities have been carried out to improve the computational thinking of learners beyond the existing ICT literacy and software utilization education. With this change, the purpose of this study is to examine the research trends of various research activities related to computational thinking which is emphasized in software education. To this end, we extracted the key words from 190 papers related to computational thinking subject published from January 2014 to September 2019, and conducted frequency analysis, word cloud, connection centrality, and topic modeling analysis on the words. As a result of the topical modeling analysis, we found that the main studies so far have included studies on 'computational thinking education program', 'computational thinking education for pre-service teacher education', 'robot utilization education for computational thinking', 'assessment of computational thinking', and 'computational thinking connected education'. Through this research method, it was possible to grasp the research trend related to computational thinking that has been conducted mainly up to now, and it is possible to know which part of computational thinking education is more important to researchers.

Analysis of Research Trends Related to Child Care Practice by Changing the Qualifications of Child Care Teachers (보육교사 자격제도 변화에 따른 보육실습 관련 연구동향 분석)

  • Sung, Mi-Young
    • The Journal of the Korea Contents Association
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    • v.19 no.9
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    • pp.614-628
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    • 2019
  • The purpose of this study is to analyze the trends and contents of the research related to infant and child safety published in the domestic journals from 2000 to 2018. To analyze this, we selected 136 articles related to child care practice published in the journals from 2000 to 2018. A total of 136 papers were analyzed for frequency, percentage and ${\chi}^2$ using the SPSS Win 23.0 program. The main results of this study are as follows: First, the articles related to child care practice were published the most in 2014~2018. According to the time of study, quantitative research of the articles related to child care practice decreased, but qualitative research of the articles related to child care practice increased. In addition, questionnaire research of the articles related to child care practice decreased, but interview research of the articles related to child care practice increased. It is expected that this research will provide basic data on research topics such as child care practice who need further research.

Exploring the Online Learning Experience of College Students Majoring Physical Education in the COVID-19 Pandemic (코로나-19 팬데믹으로 인한 체육계열 대학생의 원격수업 학습경험 탐색)

  • Lee, Man-Gi;Cho, Eunbyul;Lim, Hyosung
    • Journal of Digital Convergence
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    • v.19 no.1
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    • pp.421-430
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    • 2021
  • The study was conducted to examine the educational experiences and perceptions of college students in the field of physical education as they were taken remote classes in university due to the effects of the social collective infection caused by COVID-19. To achieve the purpose of the study, an online survey was conducted on 278 university students who major in physical education, and the survey questions include the status of remote classes, remote class recognition (preference, and satisfaction level). As for the analysis method, frequency analysis, response sample t-verification, ANOVA, and word-cradle were performed using SPSS 22.0 and R programs, and all significance levels were set at .05. The results from the above research process are as follows. First, in the types of remote classes in the sports category due to COVID-19, video types were used the most in both theoretical and practical classes, and the following was shown as assignment types. The third type was the voice record lecture type for theoretical classes, and the practical class was the video lecture scene. Second, in the remote class preference for the students, both theory and practical classes, video format were the most prefered, followed by video lecture scene and voice lecture type. Third, the analysis of the differences in satisfaction between theoretical and practical classes of the students showed that there was no difference in satisfaction according to the type of class.

A Study on the Trends in the Studies on Marine Spatial Planning: Focusing on Topic Modeling (해양공간계획 연구동향 분석 연구: 토픽 모델링을 중심으로)

  • Hwang, Kyu Won;Jang, Ah Reum;Lee, Moon Suk
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.27 no.7
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    • pp.954-966
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    • 2021
  • With regards to the marine spatial plannings of the world, the spaces are being managed through the integration of various uses and the establishment of systems and laws in the perspective of the utilization of spaces. In the perspective of policy establishment, the policy readiness level is applied to analyze the trends in the studies on South Korea's marine spatial plans. The scope of the study included analyzing marine spatial plan as a keyword in articles published over the period from 2010 to 2020. The methods of analysis included the analyses of the frequency of word appearance, word clouds, and appearance intensity, which were used to identify key issues. Five keywords that were related to the topics were identified, and were again used to identify the key themes. The core themes were changing in all phases, such as the principles development phase, institutionalization phase, policy verification phase. For future benefit, this requires more research in South Korean public organizations and universities.

Social Welfare Education in the 4th Industrial Revolution (4차 산업혁명시대의 사회복지교육)

  • Nam, Hee-Eun;Baik, Jeong-Won;Im, Yu-Jin
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.7
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    • pp.46-53
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    • 2020
  • The purpose of this study was to examine the direction of social welfare education in the 4th Industrial Revolution as well as discuss the overall direction of social welfare education such as competency and curriculum and the educational dimension of social welfare professionals. Using Text Network Analysis, 223 studies published from 2005 to 2019 in the Korean Journal of Social Welfare Education were examined in order to explore the direction of social welfare education in the 4th Industrial Revolution. Using Word cloud, overall frequency was analyzed. As a result of key words analysis, social welfare education (43), research method (28), and social welfare field practice (23) were analyzed as influential key words. The directions of social welfare education in the 4th Industrial Revolution era are as follows. First, competency, curriculum, and qualifications are necessary in general social welfare education. Second, education centering on social workers and social welfare students, who are social welfare professionals, is necessary. Third, the ethical sensitivity of future social welfare should be carefully established. Finally, the need for a shared welfare system must be further studied.