• Title/Summary/Keyword: degree words

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The Meaning of Economic Activity of Middle-aged Men using Big Data

  • Sim, Yu Jeong;Lim, Ahn-Na
    • International journal of advanced smart convergence
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    • 제9권3호
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    • pp.176-182
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    • 2020
  • In this paper, to analyze the meaning of middle-aged men's economic activities, TEXTOM was used to analyze them. The data collection period is set from 2017 to 2019. Among the collected data, 100 refined words were converted into a matrix in which the degree of social connection was calculated, and the keyword network analysis was performed again with the NetDraw program. According to the study, middle-aged men put more meaning on their current work and family than their future retirement. Also, the related word commonly included in the top five for all three years was 'work'. Related words commonly included in the top 10 were 'old age', 'family', and 'work', and in 2018 and 2019, 'health' was included in the top 10. As a result of this, the middle-aged men living in the modern age are the generation who keep their families through economic activities and are increasingly interested in health and prepare for retirement. Therefore, policy support for stable economic activities is needed to improve the quality of life for middle-aged men. It is necessary to extend the retirement age, expand jobs and provide effective vocational training so that it can handle its role as the head of a family. In addition, measures should be taken to reduce the wage gap between highly skilled and low-skilled workers.

Understanding the Food Hygiene of Cruise through the Big Data Analytics using the Web Crawling and Text Mining

  • Shuting, Tao;Kang, Byongnam;Kim, Hak-Seon
    • 한국조리학회지
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    • 제24권2호
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    • pp.34-43
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    • 2018
  • The objective of this study was to acquire a general and text-based awareness and recognition of cruise food hygiene through big data analytics. For the purpose, this study collected data with conducting the keyword "food hygiene, cruise" on the web pages and news on Google, during October 1st, 2015 to October 1st, 2017 (two years). The data collection was processed by SCTM which is a data collecting and processing program and eventually, 899 kb, approximately 20,000 words were collected. For the data analysis, UCINET 6.0 packaged with visualization tool-Netdraw was utilized. As a result of the data analysis, the words such as jobs, news, showed the high frequency while the results of centrality (Freeman's degree centrality and Eigenvector centrality) and proximity indicated the distinct rank with the frequency. Meanwhile, as for the result of CONCOR analysis, 4 segmentations were created as "food hygiene group", "person group", "location related group" and "brand group". The diagnosis of this study for the food hygiene in cruise industry through big data is expected to provide instrumental implications both for academia research and empirical application.

노인주택의 개념과 유형화 연구 (A Classification of Elderly Housing Types Toward a Holistic Understanding)

  • 이연숙;이성미;김민수;이유진;이선민
    • KIEAE Journal
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    • 제7권1호
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    • pp.81-93
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    • 2007
  • Due to increasing awareness about the risk which will be caused by fast aging of population, the importance of aging friendly environment including housing has been paid much attention both individually and socially. In this regard, recently, in Korea, diverse elderly living facilities have increased in its number. Because of little experience, however, there have not been enough holistic understanding about aging friendly housing. Accordingly, most previous literature which introduced elderly housing to Korean society have translated differently, thereby caused more confusion. To facilitate communication about aging friendly housing, clear and consistent definition of its type and comprehensive range needs to be delineated. The purpose of this study is to classify various elderly housing alternatives in architecturally understandable way. This study was proceeded by content analysis of existing literature on elderly housing environment. A comprehensive review on the concept and existing classification of elderly housing was done prior to main analysis of translated Korean words. After classifying the Korean words of definition, systematic classification which focused on two important criteria of determining physical characteristics, such as space sharing degree and intentional plannedness was delineated and suggested. This research shows the first step toward the theoretical foundation for elderly housing classification.

언어 네트워크 분석을 통한 화장행동 연구동향 분석 (Language network analysis of make-up behavior research)

  • 백경진
    • 복식문화연구
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    • 제27권3호
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    • pp.274-284
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    • 2019
  • Research on cosmetic behavior has developed significantly since the 2000s. Reviewing cosmetic behavior research can be meaningful because it can grasp trends in the domestic cosmetics market, and it can also illuminate how domestic consumers' interest in makeup has changed over time. The purpose of this study is to investigate the links between major keywords and the keywords which affect makeup behavior of different age groups through network analysis. In this study we analyzed thesis and journal data based on makeup behavior through network analysis using Nodexl. We analyzed 10 years of journals and theses - from 2000 to 2017, and investigated age-related differences in variables related to makeup behavior. Research subjects were divided into age-based groups: 10, 20-40, and over 50. The total number of theses collected was 82. In order to perform network analysis using the Nodexl program, we extracted the frequency of representative words using the KrKwic program. The extracted core words were analyzed for degree centrality, betweenness centrality and eigenvector centrality using Nodexl. The expected result is that the network analysis using keywords will lead to different variables depending on age and the main goal of the cosmetics market, and it is expected to be used as the basis for follow-up research related to cosmetic behavior.

Investigating Good Teaching and Learning Experiences in the Perspectives of University Students through Social Network Analysis

  • OH, Suna;LYU, Jeonghee;YUN, Heoncheol
    • Educational Technology International
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    • 제21권2호
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    • pp.193-216
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    • 2020
  • This study investigated university students' perspectives on good class and instructional practices through social network analysis. The subjects were 321 students in the third and fourth academic years in a Korean university. The subjects completed four open-ended questions, asking about experience of good class, good instructors' teaching practice, and their feelings and attitudes when participating in good class. As social network analysis, KrKwic (Korea Key Words in Context) was used to compute word frequencies and analyze semantic network structures and Ucinet Netdraw to assess centrality in the social network, consisting of degree centrality, closeness centrality, and between centrality. The results are as follows. First, students showed 5 keywords to depict what good class is, including 'understanding', 'example', 'video', 'interest', and 'communication'. Second, the characteristics of teaching methods by professors who practice good class indicate 'assignments', 'questions', 'understanding', 'example', and 'feedback'. Third, the top 5 keywords of students' attitudes as participating in good class are 'active', 'participation', 'focus', 'listening', and 'asking'. Last, keywords depicting desirable class that students most wanted to take next time are 'assignments', 'rewards', 'understanding', 'difficulty', and 'interest'. The findings from this study include the meanings of the semantic network structures of words in the text making up messages. Also this study can provide empirical evidence for educators and educational practitioners in higher education to create effective learning environments.

코사인 유사도를 기반의 온톨로지를 이용한 문장유사도 분석 (Sentence Similarity Analysis using Ontology Based on Cosine Similarity)

  • 황치곤;윤창표;윤대열
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2021년도 춘계학술대회
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    • pp.441-443
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    • 2021
  • 문장 또는 텍스트 유사도란 두 가지 문장의 유사한 정도를 나타내는 척도이다. 텍스트의 유사도를 측정하는 기법으로 자카드 유사도, 코사인 유사도, 유클리디언 유사도, 맨하탄 유사도 등과 같이 있다. 현재 코사인 유사도 기법을 가장 많이 사용하고 있으나 이는 문장에서 단어의 출현 여부와 빈도수에 따른 분석이기 때문에, 의미적 관계에 대한 분석이 부족하다. 이에 우리는 온톨로지를 이용하여 단어 간의 관계를 부여하고, 두 문장에서 공통으로 포함된 단어를 추출할 때 의미적 유사성을 포함함으로써 문장의 유사도에 분석의 효율을 향상하고자 한다.

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북한 중등과정 지리 교과서 기상학분야 용어에 대한 전남지역 고등학생들의 이해 (Perception of High School Students in Chonnam Province on the Meteorology Terms in Geography Textbooks of North Korean Secondary School)

  • 홍정민;정영근
    • 한국지구과학회지
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    • 제27권1호
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    • pp.15-19
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    • 2006
  • 북한에서는 중등과정 기상학 내용을 지리학 분야에서 배운다. 본 연구는 북한 지리교과서에 나오는 기상학분야 용어를 남한의 지구과학 교과서에서 사용하는 용어와 비교하여 같은 의미이면서 다른 용어 40개를 발췌하여 각 용어에 대해 전남지방 고등학생들이 이해하는 정도를 비교하였다. 용어의 이해도 조사는 전남지역 소재 2개 고등학교 89명을 대상으로 하였다. 고등학생들이 남한 용어에 대한 이해 수준은 북한용어의 이해 수준에 비해 평균적으로 30% 정도 높다. 더운전선, 합치기과정, 하루변화, 비탈면 등 9개의 북한 용어는 오히려 남한 용어보다 이해 수준이 높다. 이해 수준이 보다 낮은 3때 용어 가운데 2때 용어는 북한 고유어를 이용하여 최근 만들어진 것들이다. 남한의 용어 대부분은 한자어, 외래어 등에서 유래한 용어로 이루어져 있으며 대체로 북한 고유어로 새로 만들어진 용어보다 더 높게 이해되고 있다.

『노걸대』 분석을 통해서 바라본 우리 반도의 외국어 교육 (Foreign Language Education of Korean Peninsula: Insights from Nogeldae)

  • 김정렬
    • 한국콘텐츠학회논문지
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    • 제17권6호
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    • pp.408-414
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    • 2017
  • 본 연구는 고려말에 저자미상의 실용적인 목적으로 만들어진 외국어 교재 "노걸대"에 대하여 어떻게 고려말부터 조선 500년 동안 지속적으로 외국어 교재로 사용될 수 있었는지 외국어 교재로서 그 지속성의 가치는 어디에 있는지를 알아보고자 하는데 있다. 이를 위해서 "노걸대"에 있는 대화문 구성된 의사소통 상황별로 정광의 "노걸대" 역주본에 나와 있는 106편의 대화를 만남(12편), 숙박(17편), 대도행(21편), 대도 생활(34편), 귀국(11편)으로 구분하여 평균문장길이, 어휘길이, 타입-토큰 비율, 본동사 앞 단어 수, 명사구 평균 수식어수 항목 측정치를 활용하여 외국어 교재로서의 계열성을 파악하고자 한다. "노걸대"는 제시된각 의사소통기능에서 일부 명사구 내의 계열성이 무시된 경우를 제외하면 전체적으로 복잡도의 계열성을 확인할 수 있었다. 문장 길이, 문장의 복잡도 계열성은 전체적으로 확인되었다. 어휘의 다양성은 계열성이 제대로 구성되었다고 볼 수는 없으나 어휘의 반복율이 높은 것은 기본적인 어휘의 사용이 많이 이루어졌다는 것을 의미한다.

감성공간디자인의 실증적 연구 - 몸의 움직임을 중심으로 - (An Empirical Study on Emotional Space Design Focused on human body movement -)

  • 오영근
    • 한국실내디자인학회논문집
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    • 제19권6호
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    • pp.83-90
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    • 2010
  • Emotional interest in the 1970s, Japan started from the technical and engineering beyond the scope, period late structuralist entering the world has been the subject of interest, as well as in academic research is becoming the main theory. In addition, communication between various disciplines such as humanities through the study of consilience and fusion, the human life to continue as a subject, its importance has risen. So this study are to design for the study of emotion through the human heart in space and how the expression of emotions and can be validated in a study. GSD to evaluate the action (verb) and emotional words (adjective) related to two variables to measure the degree of correlation coefficient was an experiment to find out. Picasso painting, it is 'difficult to understand', 'special', 'interesting', 'not interested', 'confused', 'fun', 'anxious', 'dark', 'cool', 'hard' to have relevance, such as the distribution of emotional words, and as a result of the move was a lot of work. This result can be obtained through the arcane resistance of the cubist paintings that make a lot of body movements. In Renoir painting 'stable', 'warm', 'soft', 'easy to understand', 'bright', 'boring', 'curious', such as emotional words ranged to have a relationship with this behavior is less motion in space. This result can be obtained through the understanding of the Impressionist paintings that are less body movements. As a result, space design, emotional design in the evaluation (GSD) for the empirical analysis that evaluated the feasibility and future of the emotional space of the design could be based in the area is considered.

연명의료 관련 신문 기사의 텍스트네트워크분석 (Text Network Analysis of Newspaper Articles on Life-sustaining Treatments)

  • 박은준;안대웅;박찬숙
    • 지역사회간호학회지
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    • 제29권2호
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    • pp.244-256
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    • 2018
  • Purpose: This study tried to understand discourses of life-sustaining treatments in general daily and healthcare newspapers. Methods: A text-network analysis was conducted using the NetMiner program. Firstly, 572 articles from 11 daily newspapers and 258 articles from 8 healthcare newspapers were collected, which were published from August 2013 to October 2016. Secondly, keywords (semantic morphemes) were extracted from the articles and rearranged by removing stop-words, refining similar words, excluding non-relevant words, and defining meaningful phrases. Finally, co-occurrence matrices of the keywords with a frequency of 30 times or higher were developed and statistical measures-indices of degree and betweenness centrality, ego-networks, and clustering-were obtained. Results: In the general daily and healthcare newspapers, the top eight core keywords were common: "patients," "death," "LST (life-sustaining treatments)," "hospice palliative care," "hospitals," "family," "opinion," and "withdrawal." There were also common subtopics shared by the general daily and healthcare newspapers: withdrawal of LST, hospice palliative care, National Bioethics Review Committee, and self-determination and proxy decision of patients and family. Additionally, the general daily newspapers included diverse social interest or events like well-dying, euthanasia, and the death of farmer Baek Nam-ki, whereas the healthcare newspapers discussed problems of the relevant laws, and insufficient infrastructure and low reimbursement for hospice-palliative care. Conclusion: The discourse that withdrawal of futile LST should be allowed according to the patient's will was consistent in the newspapers. Given that newspaper articles influence knowledge and attitudes of the public, RNs are recommended to participate actively in public communication on LST.