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오피니언 마이닝 및 특허분석을 통한 사용자 니즈기반 이종영역 기술기회 탐색

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dc.contributor.author장혜진-
dc.contributor.author노태연-
dc.contributor.author윤병운-
dc.date.accessioned2024-08-08T03:31:15Z-
dc.date.available2024-08-08T03:31:15Z-
dc.date.issued2017-02-
dc.identifier.issn1225-0988-
dc.identifier.issn2234-6457-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/17170-
dc.description.abstractIn a digital economy, users actively express their needs in many ways. Thus, many researchers analyze what users need and whether they are satisfied or not through opinion mining. In addition, they begin to find technology opportunities in heterogeneous technology fields. But they did not connect users’ opinion to technology development process, only focused on natural language processing or marketing or manufacturing area. Also, heterogeneous technology fields are focused on fusion technology. Thus, this study suggests a novel approach that is based on sentimental value and can be applied to exploring technology opportunities in heterogeneous fields. Sentimental value is calculated from users’ opinion through sLDA. The heterogeneous technology opportunity is explored by patent analysis. This research contributes to suggesting a hybrid methodology through patent and users’ opinion. In addition, it can provide managerial efficiency by suggesting base data onto decision making.-
dc.format.extent10-
dc.language한국어-
dc.language.isoKOR-
dc.publisher대한산업공학회-
dc.title오피니언 마이닝 및 특허분석을 통한 사용자 니즈기반 이종영역 기술기회 탐색-
dc.title.alternativeUser Needs-Based Technology Opportunities in Heterogeneous Fields Using Opinion Mining and Patent Analysis-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.doi10.7232/JKIIE.2017.43.1.039-
dc.identifier.bibliographicCitation대한산업공학회지, v.43, no.1, pp 39 - 48-
dc.citation.title대한산업공학회지-
dc.citation.volume43-
dc.citation.number1-
dc.citation.startPage39-
dc.citation.endPage48-
dc.identifier.kciidART002196165-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorOpinion Mining-
dc.subject.keywordAuthorSupervised LDA-
dc.subject.keywordAuthorTechnology Opportunity-
dc.subject.keywordAuthorHeterogeneous Technology-
dc.subject.keywordAuthorPatent Analysis-
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