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텍스트 마이닝 처리로 품질경영학회지 연구동향 분석

Analysis of Research Trends in Journal of Korean Society for Quality Management by Text Mining Processing

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참고문헌

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주제분류학제간연구

초록

Purpose: The purpose of this study is to analyze the trend of quality research by analyzing the entire JKSQM(Journal of the Korean Society for Quality Management). Methods: This study is to analyze the frequency of words used in the abstract of the all JKSQM by applying the text mining processing. We use wordcrowd among text mining techniques. Results: 22 words of high frequency were presented in the abstract of the paper published in the JKSQM for 42 years. The frequency of words was shown on a 10 year basis, and the four important words were plotted on a change graph for each Vol. Frequent words of each Vol. are added in the appendix. Conclusion: The main research results are as follows. First, there has been no significant change in research trends over the last 40 years. Second, the early SQC words have been widely used, and since 1990, many words such as service-oriented words have been used, indicating a change in the times. Third, the use of the words of the 4th industrial revolution since 2010 is weak. In the above analysis, the trend of quality research in Korea is within the quality category and can be considered conservative. Now, it is expected that everything will be changed in the period of the 4th Industrial Revolution, and it is time to study the direction of quality in Korea.

Abstract

Purpose: The purpose of this study is to analyze the trend of quality research by analyzing the entire JKSQM(Journal of the Korean Society for Quality Management). Methods: This study is to analyze the frequency of words used in the abstract of the all JKSQM by applying the text mining processing. We use wordcrowd among text mining techniques. Results: 22 words of high frequency were presented in the abstract of the paper published in the JKSQM for 42 years. The frequency of words was shown on a 10 year basis, and the four important words were plotted on a change graph for each Vol. Frequent words of each Vol. are added in the appendix. Conclusion: The main research results are as follows. First, there has been no significant change in research trends over the last 40 years. Second, the early SQC words have been widely used, and since 1990, many words such as service-oriented words have been used, indicating a change in the times. Third, the use of the words of the 4th industrial revolution since 2010 is weak. In the above analysis, the trend of quality research in Korea is within the quality category and can be considered conservative. Now, it is expected that everything will be changed in the period of the 4th Industrial Revolution, and it is time to study the direction of quality in Korea.

참고문헌 (14)

  1. Baek, Youngmin, "Text-Mining using R" (2018), Hanul
  2. 정규석, "품질경영학회 50주년 특별호: 품질경영 분야 연구 리뷰", 품질경영학회지, 44(1), pp.43~60 (2016), 한국품질경영학회[DOI]
  3. Kang, Jinhee, "Beginning R data analysis" (2018), Seoul Hanbit Media
  4. Kao, A., "Natural Language Processing and Text Mining" (2007), Springer-Verlag
  5. 김종만, "품질경영학회 50주년 특별호: 품질혁신 분야 연구 리뷰", 품질경영학회지, 44(1), pp.17~28 (2016), 한국품질경영학회[DOI]
  6. 김상익, "품질경영학회 50주년 특별호: 실험계획법 분야 연구 리뷰", 품질경영학회지, 44(2), pp.245~264 (2016), 한국품질경영학회[DOI]
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  8. 권혁무, "품질경영학회지 50주년 특별호: 통계적품질관리 분야 연구 리뷰", 품질경영학회지, 44(1), pp.1~16 (2016), 한국품질경영학회[DOI]
  9. Kwon, Jaemyoung, "Follow and learn Data Science" (2017), Jpub
  10. 이돈희, "품질연구의 발전 : 2007-2011년 품질경영학회지 게재 논문을 중심으로", 품질경영학회지, 40(2), pp.94~105 (2012), 한국품질경영학회[DOI]
  11. 임용빈, "품질경영학회 50주년 특별호: 통계적 기법 분야 연구 리뷰", 품질경영학회지, 44(2), pp.221~244 (2016), 한국품질경영학회[DOI]
  12. 박자현, "토픽모델링을 활용한 국내 문헌정보학 연구동향 분석", 정보관리학회지, 30(1), pp.7~32 (2013), 한국정보관리학회[DOI]
  13. 성시일, "품질경영학회 50주년 특별호: 신뢰성 분야 연구 리뷰", 품질경영학회지, 44(1), pp.29~42 (2016), 한국품질경영학회[DOI]
  14. Wang, X., "Topics over Time: A Non-Markov Continuous-time Model of Topical Trends", Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD06, pp.424~433 (2016)

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