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Keyword Extraction through Text Mining and Open Source Software Category Classification based on Machine Learning Algorithms

  • Journal of Software Assessment and Valuation
  • Abbr : JSAV
  • 2018, 14(2), pp.1-9
  • Publisher : Korea Software Assessment and Valuation Society
  • Research Area : Engineering > Computer Science

Ye-Seul Lee 1 백승찬 1 Yong-Joon Joe 1 Dong-Myung Shin 1

1엘에스웨어(주)

Candidate

ABSTRACT

The proportion of users and companies using open source continues to grow. The size of open source software market is growing rapidly not only in foreign countries but also in Korea. However, compared to the continuous development of open source software, there is little research on open source software subject classification, and the classification system of software is not specified either. At present, the user uses a method of directly inputting or tagging the subject, and there is a misclassification and hassle as a result. Research on open source software classification can also be used as a basis for open source software evaluation, recommendation, and filtering. Therefore, in this study, we propose a method to classify open source software by using machine learning model and propose performance comparison by machine learning model.

Citation status

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