R3DG: Retrieve, Rank, and Reconstruction with Different Granularities for Multimodal Sentiment Analysis
Multimodal sentiment analysis (MSA) aims to assess emotional states by integrating information from text, audio, and video. However, the heterogeneous nature of these modalities presents substantial challenges for accurate sentiment prediction. Existing approaches typically align pairs of modalities...
Saved in:
| Main Authors: | Yan Zhuang, Yanru Zhang, Jiawen Deng, Fuji Ren |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
American Association for the Advancement of Science (AAAS)
2025-01-01
|
| Series: | Research |
| Online Access: | https://spj.science.org/doi/10.34133/research.0729 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Efficient Placement of DG Units in Distribution Networks Using DEA Ranking of Proper Busses
by: Mehdi Jalali, et al.
Published: (2024-02-01) -
D.G. ZARIDZE
Published: (2016-02-01) -
DG 3 in memoriam
by: Heimir Pálsson
Published: (2016-12-01) -
Internet Tourism Resource Retrieval Using PageRank Search Ranking Algorithm
by: Hui Li
Published: (2021-01-01) -
Dual retrieving and ranking medical large language model with retrieval augmented generation
by: Qimin Yang, et al.
Published: (2025-05-01)