• Title/Summary/Keyword: 의미연결망 분석

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Analysis of Big Data by Regimes of Image Contents Field (영상콘텐츠분야 정권별 빅데이터 분석 - 상위 중심성 값의 변화를 중심으로)

  • Hwang, Go-Eun;Moon, Shin-Jung
    • Journal of Digital Contents Society
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    • v.18 no.5
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    • pp.911-921
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    • 2017
  • The purpose of this study was to investigate the semantic network analysis to understand image contents and to examine the degree to which words, word clusters contributed to the formation of semantic map within image contents. For this research, from 1993 until 2016 the field of the image contents were collected for a total of 2,624 cases papers. The word appeared in Title analyzed the social network by using the R program of Big Data. The results were as follows: First, Research on 'education' in the field of image contents has decreased. Second, the role of 'media' in the field of image contents is changing. Finally, It is a change in the status of 'contents' in the field of image contents.

Semantic Network Analysis for the President Directions Item : Focusing on Patterns(2001~2009) (대통령 지시사항에 대한 의미연결망 분석 : 2001년~2009년의 정권별 패턴을 중심으로)

  • Jung, Yuiryong
    • The Journal of the Convergence on Culture Technology
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    • v.4 no.1
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    • pp.129-137
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    • 2018
  • The aim of this study is to analyze the President Directions Item using Semantic Network Analysis. This study has three contributions. First, this study shows the difference of policy directions through the frequency and contents of key words. Second, this study suggest patterns changes of decision-making of the president and bureaucracy through the key words network structure. Third, this study infers the interaction between the president's will and context of institutions.

Exploring Movement Culture's Perception Based on Semantic Network Analysis: Focusing on K-pop Dance and Taekwondo performance (의미연결망 분석을 적용한 Movement Culture의 인식 탐색: K-pop Dance와 태권도 공연을 중심으로)

  • Shin, Jin-Ho;Kim, Hye-Ryeon
    • Journal of the Korean Applied Science and Technology
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    • v.37 no.4
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    • pp.733-743
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    • 2020
  • The purpose of this study is to explore the perception of K-pop dance and Taekwondo performances in Movement culture using semantic network analysis. The research subjects were selected from 105 students from K University in Daejeon. The method of selecting the research subject was a snowball sampling method among non-probability sampling methods, and a mobile Google questionnaire was used as the research tool. The results are as follows. First, it was found that the concepts of 'globalization', 'culture', and 'celebrity' in K-pop dance are the main cognitive concepts calculated more than 20 times. Second, as a result of analyzing the meaning network of K-pop dance recognition, it was found that the concepts of 'culture', 'popularity', and 'famous' are the main concepts of k-pop dance recognition. Third, the Taekwondo performance can be confirmed that the concepts of 'good', 'Korea', and 'temperance' are the main concepts calculated more than 20 times. Fourth, as a result of analyzing the meaning network of Taekwondo performance recognition, it was found that the concepts of 'movement', 'Korea', and 'good' are the main concepts of Taekwondo performance recognition.

Generation of Compound Nouns Using Automatic Constructed Syntactic Patterns and Semantic Network (자동 생성한 구문패턴과 의미망을 이용한 복합명사 생성)

  • Im, Ji-Hui;Choe, Ho-Seop;Ock, Cheol-Young
    • Proceedings of the Korea Information Processing Society Conference
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    • 2004.05a
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    • pp.655-658
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    • 2004
  • 본 논문은 구문패턴과 의미망을 이용하여 복합명사를 생성하는 방법을 제안하고, 제안된 방법으로 설계 구현된 시스템, 복합명사 생성기(Compound Nouns Generator : CNG)를 제시한다. 복합명사에 관한 연구는 형태적, 구문적, 의미적인 관점에서의 분석과 생성에 이르기까지 폭넓게 진행되고 있다. 본 논문에서는, 사전에 등재된 표제어만을 복합명사로 인정하고, 나머지는 1차적으로 명사 연결구로 파악한다. 그리고 이것을 다시 신형 복합명사와 명사 연결구로 파악함으로써, 복합명사에 대한 명확한 기준을 제시하여 자연언어처리, 정보검색 등에서 효율성을 높이고자 하였다. 본 논문에서 제안한 시스템은 복합명사 확장을 위해 구문패턴을 자동 생성함으로써 시스템의 융통성을 향상시키고, 구문패턴과 의미망을 통해 생성된 복합명사와 명사 연결구의 말뭉치상의 빈도정보를 이용함으로써 고빈도의 명사 연결구가 복합명사로서 굳어질 수 있는 가능성을 보여주기도 한다. 또한, 구문패턴과 의미망을 통해 생성된 명사 연결구를 비교하여 생성된 신형 복합명사는 구문패턴에 의해 뜻풀이가 자동으로 생성된다.

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Matrix-Star Graphs : A New Interconnection Network Based on Matrix Operation (행렬-스타그래프 : 행렬연산에 기반한 새로운 상호 연결망)

  • Lee, Hyeong-Ok;Im, Hyeong-Seok
    • Journal of KIISE:Computer Systems and Theory
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    • v.26 no.4
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    • pp.389-405
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    • 1999
  • 본 논문에서는 상호 연결망의 노드를 행렬로 표현하고 행렬연산을 이용하여 에지를 정의한 새로운 상호 연결망으로 행렬-스타 그래프를 제안한다. 행렬-스타 그래프는 널리 알려진 스타 그래프를 일반화한 그래프이다. 먼저, 행렬-스타 그래프의 노드를 2 $\times$ n 행렬로 표현한 행렬-스타 그래프 MS2,n 에 대하여 주요 망 척도인 분지수, 연결도, 확장성, 대칭성, 리우팅 ,지름 방송등을 분석한다. 다음으로, 행렬-스타 그래프 MS2,n의 노드를 2차원과 3차원으로 일반화한 행렬-스타 그래크 MSk,n과 MS k,n,p를 정의하고 행렬-스타그래프 MSk,n,p 의 라우팅 알고리즘과 지름을 분석한다. 상호연결망의 중요 망 척도중 하나는 망 비용이고 상호연결망의 망 비용은 그 연결망의 분지수와 지름의 곱으로 정의된다. star 그래프는 다른 상호 연결망보다 작은 망 비용을 갖는다. 최근에 제안된 Macro-Star 그래픈 star 그래프에 비해 상대적으로 망 비용이 작은 값을 갖는 연결망이다. (n2)!개의 노드를 갖는 행렬-스타 그래프 MSk,k,k(k={{{{ `^{ 3} SQRT { n$^2$} }}}} )와 ((n-1)2 + 1)!개의 노드를 갖는 Macro-Star 그래프 MS(n-1, n-1)의 망 비용은 행렬-스타그래프 MSk,k,k(k={{{{ `^{ 3} SQRT { n$^2$} }}}})는 O(n2,7)이고, Macro-Star 그래프 MS(n-1 , n-1)은 O(n3) 이다. 이는 행렬-스타 그래프가 스타 그래프와 Macro-Star 그래프보다 망비용이 우수함을 의미한다.

A Study on the Recognition of Population Problems of Male and Female Students using Text-mining: To Drive the Implications of Population Education (텍스트마이닝기법을 활용한 남녀 학생의 인구문제에 관한 인식 분석: 인구교육의 시사점 도출을 위하여)

  • Wang, Seok-Soon;Shim, Joon-Young
    • Journal of Korean Home Economics Education Association
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    • v.31 no.3
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    • pp.73-90
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    • 2019
  • The purpose of this study was to explore the differences in perceptions of male and female students about population problems and to draw up implications for population education. Using text mining, the report about population problem, which had written by students in population education class, were analysed. After extracting key words, semantic networks were visualized. The results were as follows. First, the high frequency words were the same for each gender. Second, key words based on frequency did not differ depending on gender. And the key words extracted by the correlation analysis and bigram were different. That is, in the semantic network of girls' words, the network of "life"-"marriage"-"birth"-"pregnancy" appeared independently, distinguishing it from male students who showed separate objective links to population problems. Therefore, it drew suggestions that male and female students should be viewed as heterogeneous groups with different cognitive structures on population problems and that the content and methods of population education should be approached differently depending on gender.

Social perception of the Arduino lecture as seen in big data (빅데이터 분석을 통한 아두이노 강의에 대한 사회적 인식)

  • Lee, Eunsang
    • Journal of The Korean Association of Information Education
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    • v.25 no.6
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    • pp.935-945
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    • 2021
  • The purpose of this study is to analyze the social perception of Arduino lecture using big data analysis method. For this purpose, data from January 2012 to May 2021 were collected using the Textom website as a keyword searched for 'arduino + lecture' in blogs, cafes, and news channels of NAVER website. The collected data was refined using the Textom website, and text mining analysis and semantic network analysis were performed by opening the Textom website, Ucinet 6, and Netdraw programs. As a result of text mining analysis such as frequency analysis, TF-IDF analysis, and degree centrality it was confirmed that 'education' and 'coding' were the top keywords. As a result of CONCOR analysis for semantic network analysis, four clusters can be identified: 'Arduino-related education', 'Physical computing-related lecture', 'Arduino special lecture', and 'GUI programming'. Through this study, it was possible to confirm various meaningful social perceptions of the general public in relation to Arduino lecture on the Internet. The results of this study will be used as data that provides meaningful implications for instructors preparing for Arduino lectures, researchers studying the subject, and policy makers who establish software education or coding education and related policies.

Semantic Network of User Experience in Automotive Connectivity Systems: Comparative Analysis of Korean and the US Automakers (전기차 커넥티비티 시스템의 사용자 경험 의미연결망: 한국과 미국의 비교를 중심으로)

  • Choi, Bo-Mi;Lee, Da-Young;Choi, Junho
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.1
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    • pp.537-544
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    • 2022
  • As the penetration of electric vehicles and development of new models, user experience factors are getting more important in designing connectivity systems for car infotainment services. The primary object of this study is to identify commonalities and differences by comparing user experience factors in the Korean and US electric vehicle markets. This study derived connectivity keywords by text mining the vehicle introduction on the market in each country, and performed centrality, cluster analysis and visualization mapping using the semantic network analysis. As a result, the Korean new electric vehicle connectivity service mainly focused on driving functions such as driving, parking assistance, and charging, while US focused on device connection, convenience function control, app use, entertainment viewing. Based on the analysis, this study presented the practical implications in marketing, system design, and HMI design.

Perceptions of Disabled Sports in Newspapers Using Semantic Networks Analysis (신문기사에 나타난 장애인스포츠에 대한 인식 -의미연결망을 활용한 빅데이터 분석-)

  • Han, Min-kyu;Kim, Won-Kyoung;Yoon, Jiwun
    • 재활복지
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    • v.20 no.4
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    • pp.157-175
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    • 2016
  • The purpose of this study was to analyze the perceptions of disabled sports that were reported the newspapers using semantic network analysis method. for this purpose, 745 news articles were selected from 21 source in Naver news searching engine. The main keyword for searching on newspapers was 'disabled sports'. Krkwic software was used for keyword cleansing and co-occurrence of text to text matrix in frequencies. Centrality indices that are degree, between and eigenvector, were used to analyze the perceptions of disabled sports from Netminer 4.0 for semantic network analysis. The conclusion of overall results from this study are follows; First, the core keyword of disabled sports in newspapers are 'impression', 'challenge', 'festival', 'dream' and hope. And there is different concepts of cognition among types of disability. Second, there are two elements on the perceptions of disabled sports from reported newspapers; sports performance and emotional. Specifically, main stream of keyword were 'Paralympics' and 'Special Olympics' on sports performance element and 'impressive' and 'challenge' in emotion element.

A Study on Ideological Orientation and the Construction of News about Korean News Media : Focused on a Semantic Network Analysis for Articles about 'Bernie Sanders' (국내 언론매체의 이념성향과 뉴스구성에 대한 연구 : 미 대선 후보 '버니 샌더스' 관련 보도의 의미연결망 분석을 중심으로)

  • Lee, Hye-Mi;Gim, Hye-Yeong;Ryu, Seoung-Ho
    • The Journal of the Korea Contents Association
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    • v.16 no.8
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    • pp.180-191
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    • 2016
  • This study utilized a semantic network analysis for Korean major newspaper articles concerning 'Bernie Sanders'. 'Bernie Sanders' promotes conservative values of 'Americana' as well as the progressive values of 'relieving inequality', and thus, perhaps he is a subject on which ideological differences between the press can be distinctively manifest. Upon comparison of the priority of frequency between the conservative press and progressive press, the conservative press frequently used the expressions, 'socialist' and 'black man', whereas the progressive press frequently used the expressions, 'inequality' and 'problem'. Both the conservative press and progressive press displayed particularly different semantic compositions with the term, 'Korea'. The progressive press aimed to express the criticism of social problems and established politics identified by Sanders in relation to the 'Korean' society, whereas the conservative press criticized the blunt expressions stating that a specifically named politician resembles Sanders, and the specific party and term of 'Korea'. A completely different disposition of reports from different perspectives and context was ascertained, regardless of the use of the same terms. Thus, it is demonstrated that the semantic composition of the press on a specific issue displays significant differences according to their ideological disposition.