최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기한국비블리아학회지 = Journal of the Korean Biblia Society for Library and Information Science, v.32 no.1, 2021년, pp.133 - 150
The purpose of this study is to identify the applicability of machine learning targeting titles in the classification of books in public libraries. Data analysis was performed using Python's scikit-learn library through the Jupiter notebook of the Anaconda platform. KoNLPy analyzer and Okt class wer...
Han, M, Rye, J., & Seo, S. (2014). Classification and analysis of emotion in Korean texts using machine learning. The Korean Institute of Information Scientists and Engineers, 1722-1724.
Korean Library Association (2013). Korean Decimal Classification. 6th edition. Seoul: Korean Library Association.
Lee, C., Choi, D., Kim, S., & Kang, J. (2013). Classification and analysis of emotion in Korean microblog texts. Journal of KISS: Databases, 40(3), 159-167.
Aggarwal, C. C. (2018). Machine Learning. Cham: Springer.
Golub, K., Hagelback, J., & Ardo, A. (2018). Automatic classification using DDC on the Swedish Union Catalogue. Proceedings of the 18th European Networked Knowledge Organization Systems (NKOS) Workshop co-located with the 22nd International Conference on Theory and Practice of Digital Libraries 2018 (TPDL 2018). Available: http://ceur-ws.org/Vol-2200/paper1.pdf
Muller, A. C. & Guido, S. (2017). Introduction to Machine Learning with Python. 박해선 옮김.(2019). 파이썬 라이브러리를 활용한 머신러닝 (번역개정판). 서울: 한빛미디어.
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