Journal of Korean Institute of Industrial Engineers (대한산업공학회지)

Korean Institute of Industrial Engineers (대한산업공학회)
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Discovering Meaningful Trends in the Inaugural Addresses of United States Presidents Via Text Mining

텍스트마이닝을 활용한 미국 대통령 취임 연설문의 트렌드 연구

  • Cho, Su Gon (Department of Industrial Management Engineering, Korea University) ;
  • Cho, Jaehee (Business School, Kwangwoon University) ;
  • Kim, Seoung Bum (Department of Industrial Management Engineering, Korea University)
  • Received : 2015.02.25
  • Accepted : 2015.05.11
  • Published : 2015.10.15
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Abstract

Identification of meaningful patterns and trends in large volumes of text data is an important task in various research areas. In the present study, we propose a procedure to find meaningful tendencies based on a combination of text mining, cluster analysis, and low-dimensional embedding. To demonstrate applicability and effectiveness of the proposed procedure, we analyzed the inaugural addresses of the presidents of the United States from 1789 to 2009. The main results of this study show that trends in the national policy agenda can be discovered based on clustering and visualization algorithms.

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