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주식시장에 상장된 개별 종목들의 뉴스 정보를 수집하여 기업별로 제작된 독립형 뉴스 분석 모델을 통해 주가의 등락을 예측하는 시스템

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dc.contributor.author손윤식-
dc.contributor.author김경민-
dc.contributor.author성주한-
dc.contributor.author이강우-
dc.contributor.author조용진-
dc.contributor.author조현우-
dc.date.accessioned2025-09-09T08:05:24Z-
dc.date.available2025-09-09T08:05:24Z-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/60255-
dc.title주식시장에 상장된 개별 종목들의 뉴스 정보를 수집하여 기업별로 제작된 독립형 뉴스 분석 모델을 통해 주가의 등락을 예측하는 시스템-
dc.title.alternativeA system that collects news information of individual stocks listed on the stock market and predicts stock price through a standalone news analysis model-
dc.typePatent-
dc.publisher.location대한민국-
dc.contributor.assignee동국대학교산학협력단-
dc.date.application2018-03-19-
dc.date.registration2020-04-20-
dc.type.iprs특허-
dc.identifier.patentRegistrationNumber10-2104316-
dc.identifier.patentApplicationNumber10-2018-0031638-
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College of Advanced Convergence Engineering (Department of Computer Science and Artificial Intelligence)
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