• Title/Summary/Keyword: 교육대학교 계열

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An Analysis of School Life Sensibility of Students at Korea National College of Agriculture and Fisheries Using Unstructured Data Mining(1) (비정형 데이터 마이닝을 활용한 한국농수산대학 재학생의 학교생활 감성 분석(1))

  • Joo, J.S.;Lee, S.Y.;Kim, J.S.;Song, C.Y.;Shin, Y.K.;Park, N.B.
    • Journal of Practical Agriculture & Fisheries Research
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    • v.21 no.1
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    • pp.99-114
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    • 2019
  • In this study we examined the preferences of eight college living factors for students at Korea National College of Agriculture and Fisheries(KNCAF). Analytical techniques of unstructured data used opinion mining and text mining techniques, and the analysis results of text mining were visualized as word cloud. The college life factors included eight topics that were closely related to students: 'my present', 'my 10 years later', 'friendship', 'college festival', 'student restaurant', 'college dormitory', 'KNCAF', and 'long-term field practice'. In the text submitted by the students, we have established a dictionary of positive words and negative words to evaluate the preference by classifying the emotions of positive and negative. As a result, KNCAF students showed more than 85% positive emotions about the theme of 'student restaurant' and 'friendship'. But students' positive feelings about 'long-term field practice' and 'college dormitory' showed the lowest satisfaction rate of not exceeding 60%. The rest of the topics showed satisfaction of 69.3~74.2%. The gender differences showed that the positive emotions of male students were high in the topics of 'my present', 'my 10 years later', 'friendship', 'college dormitory' and 'long-term field practice'. And those of female were high in 'college festival', 'student restaurant' and 'KNCAF'. In addition, using text mining technique, the main words of positive and negative words were extracted, and word cloud was created to visualize the results.