DOI QR코드

DOI QR Code

Rearch of Late Adolcent Activity based on Using Big Data Analysis

  • Hye-Sun, Lee (Dept. of Occupational Therapy, Gwangju Women's Univ)
  • 투고 : 2022.11.26
  • 심사 : 2022.12.09
  • 발행 : 2022.12.31

초록

This study seeks to determine the research trend of late adolescents by utilizing big data. Also, seek for research trends related to activity participation, treatment, and mediation to provide academic implications. For this process, gathered 1.000 academic papers and used TF-IDF analysis method, and the topic modeling based on co-occurrence word network analysis method LDA (Latent Dirichlet Allocation) to analyze. In conclusion this study conducted analysis of activity participation, treatment, and mediation of late adolescents by TF-IDF analysis method, co-occurrence word network analysis method, and topic modeling analysis based on LDA(Latent Dirichlet Allocation). The results were proposed through visualization, and carries significance as this study analyzed activity, treatment, mediation factors of late adolescents, and provides new analysis methods to figure out the basic materials of activity participation trends, treatment, and mediation of late adolescents.

키워드

과제정보

This paper was supported(in part) by Research Funds of Kwangju Women's University in 2022 (University Innovation Support Project.

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