정보교육학회논문지 (Journal of The Korean Association of Information Education)

  • 제19권4호
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  • Pages.517-524
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  • 2015
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  • 1229-3245(pISSN)
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  • 2733-8428(eISSN)
한국정보교육학회 (Korea Association of Information Education)
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R을 활용한 SW교육 텍스트데이터 토픽분석

A Topic Analysis of SW Education Textdata Using R

  • 박선주 (광주교육대학교 컴퓨터교육과)
  • Park, Sunju (Dept. of Computer Science Education, Gwangju National University of Education)
  • 투고 : 2015.12.01
  • 심사 : 2015.12.18
  • 발행 : 2015.12.31
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초록

본 논문에서는 사람들의 SW 교육과 관련된 관심방향을 알아보기 위해 SW 교육 관련 뉴스데이터를 수집하여 그 내용을 분석하였다. 이를 위해 2013년 7월 23일~2015년 10월 19일의 SW 교육관련 뉴스데이터의 토픽분석을 실시하였다. R을 사용하여 웹크롤링 후 가장 자주 언급된 상위 20개 단어들 간의 관련성을 분석한 결과, SW 교육 단어를 중심으로 20개 단어의 노드 크기와 연결선의 두께가 비교적 균형을 이루고 있어 서로의 관련성이 밀접하게 유지되는 데이터임을 알 수 있었다, 또한, 분석대상 데이터는 주로 SW 인재양성, SW 지원 프로그램, SW 교육 의무화, SW 캠프, SW 산업, 일자리 창출과 관련된 토픽들임을 알 수 있었다. 이는 SW 교육에 관한 사람들의 생각 및 관심분야 등을 알아보는 빅데이터 분석 자료에 활용될 수 있을 것이다.

In this paper, to find out the direction of interest related to the SW education, SW education news data were gathered and its contents were analyzed. The topic analysis of SW education news was performed by collecting the data of July 23, 2013 to October 19, 2015. By analyzing the relationship among the most mentioned top 20 words with the web crawling using R, the result indicated that the 20 words are the closely relevant data as the thickness of the node size of the 20 words was balancing each other in the co-occurrence matrix graph focusing on the 'SW education' word. Moreover, our analysis revealed that the data were mainly composed of the topics about SW talent, SW support Program, SW educational mandate, SW camp, SW industry and the job creation. This could be used for big data analysis to find out the thoughts and interests of such people in the SW education.

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참고문헌

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피인용 문헌

  1. R을 활용한 정보교육관련 논문 분석 vol.21, pp.1, 2015, https://doi.org/10.14352/jkaie.2017.21.1.57
  2. Python을 이용한 SNS 크롤링 시스템 구축 vol.23, pp.5, 2015, https://doi.org/10.9723/jksiis.2018.23.5.061
  3. 한국정보교육학회 게재 논문들의 추세적 변화에 대한 고찰 vol.22, pp.6, 2018, https://doi.org/10.14352/jkaie.2018.22.6.681
  4. 토픽 모델링을 이용한 컴퓨팅 사고력 관련 연구 동향 분석 vol.23, pp.6, 2019, https://doi.org/10.14352/jkaie.2019.23.6.607
  5. 안전신문고를 이용한 재난 예측 방법론 제안 vol.12, pp.4, 2015, https://doi.org/10.21729/ksds.2019.12.4.15