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Akademický článek

Enhancing Financial Sentiment Analysis Ability of Language Model via Targeted Numerical Change-Related Masking

Autor: Hui Do Jung, Beakcheol Jang

Publikováno v: IEEE Access, Vol 12, Pp 50809-50820 (2024)

Sentiment analysis is a critical task that is highly beneficial to various financial tasks such as stock-price prediction, corporate credit rating, economic report analysis, and investment decision support. Researchers have used various methods to tr

Externí odkaz: https://doaj.org/article/6df129b5c0d04503833a1a3cfeeec782

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Akademický článek

데이터 세트별 Post-Training을 통한 언어 모델 최적화 연구 : 금융 감성 분석을 중심으로.

Autor: 정 희 도^1,2 jhd11j@yonsei.ac.kr, 김 재 헌^2,3 jhk774@yonsei.ac.kr, 장 백 철^4,5 bjang@yonsei.ac.kr

Publikováno v: Journal of Internet Computing & Services. Feb2024, Vol. 25 Issue 1, p57-67. 11p.

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Akademický článek

감성 분석을 위한 FinBERT 미세 조정: 데이터 세트와 하이퍼파라미터의 효과성 탐구.

Autor: 김 재 헌^1,2 jhk774@yonsei.ac.kr, 정 희 도^2,3 jhd11j@yonsei.ac.kr, 장 백 철^4,5 bjang@yonsei.ac.kr

Publikováno v: Journal of Internet Computing & Services. Aug2023, Vol. 24 Issue 4, p127-135. 9p.

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