텍스트마이닝을 활용한 산업공학 학술지의 논문 주제어간 연관관계 연구

다국어 초록 (Multilingual 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 crawled the keywords from the abstracts in IIE Transactions, one of the representative journals in the field of Industrial Engineering from 1969 to 2011. We applied low-dimensional embedding method, clustering analysis, association rule, and social network analysis to find meaningful associative patterns of key words frequently appeared in the paper.

참고문헌 (Reference)

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