Text-Image Feature Fine-Grained Learning for Joint Multimodal Aspect-Based Sentiment Analysis
Joint Multimodal Aspect-based Sentiment Analysis (JMASA) is a significant task in the research of multimodal fine-grained sentiment analysis, which combines two subtasks: Multimodal Aspect Term Extraction (MATE) and Multimoda... | Find, read and cite all the research you need on Tech Science Press
Authors
- Tianzhi Zhang
- S Li
- Shuang Zhang (ORCID: https://orcid.org/0000-0002-0047-8456)
- Gang Zhou
- Yepeng Sun
- Qiankun Pi
- Shuo Liu (ORCID: https://orcid.org/0009-0009-5412-458X)
Publication Details
- Journal
- Computers, materials & continua/Computers, materials & continua (Print)
- Published
- 2024-12-12
- DOI
- https://doi.org/10.32604/cmc.2024.055943
- Primary Topic
- Sentiment Analysis and Opinion Mining
- Type
- article
- Field-Weighted Citation Impact
- 0.00