MiMuSA: Mimicking human language understanding for fine-grained multi-class sentiment analysis

• Main Authors: WANG, Zhaoxia, HU, Zhenda, HO, Seng-Beng, CAMBRIA, Erik, TAN, Ah-hwee
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Human-like understanding; Fine-grained sentiment understanding; Multi-class sentiment analysis; Sentiment strength; Explainable sentiment understanding; Sarcasm handling; Knowledge base; Multi-level modularstructure; Artificial Intelligence and Robotics; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/7953; https://ink.library.smu.edu.sg/context/sis_research/article/8956/viewcontent/MiMuSA_av.pdf
• Institution: Singapore Management University

Sentiment analysis is an important natural language processing (NLP) task due to a wide range of applications. Most existing sentiment analysis techniques are limited to the analysis carried out at the aggregate level, merely providing negative, neutral and positive sentiments. The latest deep learn...