http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : 조보근 ( Jo¸ Bo Geun ) (검색결과 1 건)
- 무료
- 기관 내 무료
- 유료
-
섬유소재 분야 특허 기술 동향 분석: DETM & STM 텍스트마이닝 방법론 활용
이현상 ( Lee¸ Hyun Sang ),조보근 ( Jo¸ Bo Geun ),오세환 ( Oh¸ Se Hwan ),하성호 ( Ha¸ Sung Ho ) 한국정보시스템학회 2021 情報시스템硏究 Vol.30 No.3
Purpose The purpose of this study is to analyze the trend of patent technology in textile materials using text mining methodology based on Dynamic Embedded Topic Model and Structural Topic Model. It is expected that this study will have positive impact on revitalizing and developing textile materials industry as finding out technology trends. Design/methodology/approach The data used in this study is 866 domestic patent text data in textile material from 1974 to 2020. In order to analyze technology trends from various aspect, Dynamic Embedded Topic Model and Structural Topic Model mechanism were used. The word embedding technique used in DETM is the GloVe technique. For Stable learning of topic modeling, amortized variational inference was performed based on the Recurrent Neural Network. Findings As a result of this analysis, it was found that ‘manufacture’ topics had the largest share among the six topics. Keyword trend analysis found the fact that natural and nanotechnology have recently been attracting attention. The metadata analysis results showed that manufacture technologies could have a high probability of patent registration in entire time series, but the analysis results in recent years showed that the trend of elasticity and safety technology is increasing.
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
