期刊论文

He, TT

英文

IEEE Transactions on Neural Networks and Learning Systems

2162-237X

2024

PP

10.1109/TNNLS.2024.3415028

National Language and Character Research Base; China Postdoctoral Science Foundation [2023M731253]; The self-determined research funds of CCNU from the Colleges' Basic Research and Operation of MOE [CCNU24ai011]

本校为第一且通讯机构

Multimodal aspect-based sentiment classification (MABSC) aims to identify the sentiment polarity toward specific aspects in multimodal data. It has gained significant attention with the increasing use of social media platforms. Existing approaches primarily focus on analyzing the content of posts to predict sentiment. However, they often struggle with limited contextual information inherent in social media posts, hindering accurate sentiment detection. To overcome this issue, we propose a novel multimodal dual cause analysis (MDCA) method to track the underlying causes behind expressed sentime...