• The Journal of the Korea Contents Association
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• v.18 no.9
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• pp.498-509
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• 2018

involves philosophical perspectives that are different from other SF movies. This perspective was derived from that of Zecharia Sitchin, in which he tells the history of the earth and mankind from a very unique perspective. He claimed that the intelligent beings (according to Sitchen, we called them the gods) on this planet created mankind and brought them ancient civilizations. The purpose of this study is to analyze under the determination that a comparative analysis can be made between SF movies and an art genre, in the outlook that Sitchin's perspectives are under extraordinary attention of religious and academic circles and are assisting in solving many mysteries on earth with currently excavated archaeological evidences, to identify the factors of consensus between the message Sitchin wanted to convey and SF movies and find the historical perspectives of Sitchin in the cross-section between Sitchin and the narratives in .

• 베이커리
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• no.6 s.347
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• pp.132-135
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• 1997

• Digital Contents
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• no.2 s.93
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• pp.34-39
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• 2001

웹캐스팅 비즈니스에 있어서 콘텐츠의 중요성은 굳이 언급하지 않아도 될 정도로 크다. 쥬피터 커뮤니케이션즈의 조사에 근거하면, 미디어 사업에서의 콘텐츠의 중요성이 사업성을 좌우하는 절대적인 기준으로서 콘텐츠 기획 제작 보급이 70%정도 차지한다고 할 정도이다. 특히 웹캐스팅 비즈니스는 웹미디어 비즈니스이기 이전에 콘텐츠 비즈니스이므로 콘텐츠의 중요성은 더욱 크다. 콘텐츠 기획과 제작능력이 웹캐스팅 비즈니스의 최대의 관건이자 최고의 경쟁력임을 명심해야 한다.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.32 no.1
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• pp.133-150
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• 2021

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 were used for Hangul morpheme analysis. The units of analysis were 2,000 title fields and KDC classification class numbers (300 and 600) extracted from the KORMARC records of public libraries. As a result of analyzing the data using six machine learning models, it showed a possibility of applying machine learning to book classification. Among the models used, the neural network model has the highest accuracy of title classification. The study suggested the need for improving the accuracy of title classification, the need for research on book titles, tokenization of titles, and stop words.