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Learning Implicit Sentiment in Aspect-based Sentiment ...

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pages 246 256 November 7 11, 2021 Association for Computational Linguistics246 Learning Implicit Sentiment in Aspect-based Sentiment Analysiswith Supervised Contrastive Pre-TrainingZhengyan Li1, Yicheng Zou1, Chong Zhang1, Qi Zhang1 and Zhongyu Wei21 Shanghai Key Laboratory of Intelligent Information Processing,School of Computer Science, fudan university , Shanghai, China2 School 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. However, recent neural network-based approaches paid little attention to im-plicit Sentiment entailed in the reviews.

School of Computer Science, Fudan University, Shanghai, China 2School of Data Science, Fudan University {lizy19,yczou18,chongzhang20,qz,zywei}@fudan.edu.cn Abstract Aspect-based sentiment analysis aims to iden-tify the sentiment polarity of a specific aspect in product reviews. We notice that about 30% of reviews do not contain obvious opinion

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