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감정 간의 관계를 고려한 지도 대조 학습 기반 감정 인식
유동제(Dongje Yoo),전경훈(Kyunghoon Jeon),최주환(Juhwan Choi),김영빈(Youngbin Kim) 대한전자공학회 2023 대한전자공학회 학술대회 Vol.2023 No.6
Emotion recognition has been researched in many fields aiming to highly match emotion labels beyond all kinds of data. Recent studies have suggested utilizing the 2d arousal-valence model for emotion-related tasks. Inspired by the previous works, we propose a sentiment analysis technique considering the similarity between emotion labels. Our technique is made up of Supervised Contrastive Learning Loss grafting together with Curriculum Learning. From the proposed technique, we observed a further performance gain on emotion recognition, and we achieved decent work for three of the public datasets that we used for experiments.