MSRL-Net: A multi-level semantic relation-enhanced learning network for aspect-based sentiment analysis

• Main Authors: HU, Zhenda, WANG, Zhaoxia, WANG, Yinglin, TAN, Ah-hwee
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Aspect-based sentiment analysis; Semantic relation; Sentence pairs; Word dependency; Artificial Intelligence and Robotics; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/7794; https://ink.library.smu.edu.sg/context/sis_research/article/8797/viewcontent/MSRL_Net_av.pdf
• Institution: Singapore Management University

Aspect-based sentiment analysis (ABSA) aims to analyze the sentiment polarity of a given text towards several specific aspects. For implementing the ABSA, one way is to convert the original problem into a sentence semantic matching task, using pre-trained language models, such as BERT. However, for...