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Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pages 246 256November 7 11, 2021 Association for Computational Linguistics246Learning Implicit Sentiment in Aspect-based Sentiment Analysiswith Supervised contrastive Pre-TrainingZhengyan Li1, Yicheng Zou1, Chong Zhang1, Qi Zhang1 and Zhongyu Wei21Shanghai Key Laboratory of Intelligent Information Processing,School of Computer Science, Fudan University, Shanghai, China2School of Data Science, Fudan Sentiment analysis aims to iden-tify the Sentiment polarity of a specific aspectin product reviews. We notice that about 30%of reviews do not contain obvious opinionwords, but still convey clear human-aware sen-timent orientation, which is known as implicitsentiment.

Learning Implicit Sentiment in Aspect-based Sentiment Analysis with Supervised Contrastive Pre-Training Zhengyan Li 1, Yicheng Zou , Chong Zhang , Qi Zhang and Zhongyu Wei2 1Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai, China 2School of Data Science, Fudan University

  Analysis, Contrastive

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