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- dc.contributor.author
- 김남규
- dc.contributor.author
- 김윤하
- dc.contributor.author
- 김준우
- dc.contributor.author
- 유예린
- dc.contributor.author
- 전민규
- dc.contributor.author
- 한민아
- dc.date.accessioned
- 2023-07-20T16:00:07Z
- dc.date.available
- 2023-07-20T16:00:07Z
- dc.date.issued
- 2022
- dc.identifier.other
- K-22-IR-33-05R-1
- dc.identifier.uri
- https://repository.kisti.re.kr/handle/10580/18464
- dc.publisher
- 한국과학기술정보연구원
- dc.title
- 머신러닝을 활용한 제품데이터 (고객리뷰)기반 감성 관련 다속성 분석 기술개발
- dc.title.alternative
- Development of product data(customer reviews)-based sentiment-related multi-feature analysis technology using machine learning
- dc.type
- Report
- dc.contributor.affiliation
- 국민대학교
- dc.contributor.affiliation
- 한국과학기술정보연구원
- dc.contributor.affiliation
- KISTI
- dc.identifier.localId
- 8101016
- dc.subject.keyword
- 요구품질
- dc.subject.keyword
- 리뷰 분석
- dc.subject.keyword
- 사전학습 언어모델
- dc.subject.keyword
- 토픽 모델링
- dc.subject.keyword
- KeyBERT
- Appears in Collections:
- 7. KISTI 연구성과 > 연구보고서 > 2022
- Files in This Item:
- There are no files associated with this item.
