Papers with multimodal aspect sentiment classification

1 papers
TMFN: A Target-oriented Multi-grained Fusion Network for End-to-end Aspect-based Multimodal Sentiment Analysis (2024.lrec-main)

Copied to clipboard

Challenge: Existing methods for multimodal aspect-based sentiment analysis focus on fusing image regional information and textual words.
Approach: They propose a multimodal aspect-based sentiment analysis method that integrates regional and global image information with global image data.
Outcome: Experiments show that the proposed method outperforms state-of-the-art methods on two benchmark datasets.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations