Tri-Subspaces Disentanglement for Multimodal Sentiment Analysis

Export BriefConnect with Author
View PDF ↗
PDF Viewer
Open Full PDF

BUILDER'S SANDBOX

Build This Paper

Use an AI coding agent to implement this research.

OpenAI Codex
OpenAI CodexAI Agent

Lightweight coding agent in your terminal.

Claude Code
Claude CodeAI Agent

Agentic coding tool for terminal workflows.

AntiGravity IDE
AntiGravity IDEScaffolding

AI agent mindset installer and workflow scaffolder.

Cursor
CursorIDE

AI-first code editor built on VS Code.

VS Code
VS CodeIDE

Free, open-source editor by Microsoft.

Estimated $9K - $13K over 6-10 weeks.

See exactly what it costs to build this -- with 3 comparable funded startups.

7-day free trial. Cancel anytime.

Discover the researchers behind this paper and find similar experts.

7-day free trial. Cancel anytime.

References (31)

[1]
Temporal-Spatial Decouple before Act: Disentangled Representation Learning for Multimodal Sentiment Analysis
2026Chunlei Meng, Ziyang Zhou et al.
[2]
Multi-grained teacher-student joint representation learning for surface defect classification
2025Chunlei Meng, Jiacheng Yang et al.
[3]
CF-ViT: Cross-Feature Vision Transformer for Improving Feature Learning on Tiny Datasets
2025Chunlei Meng, Wei Lin et al.
[4]
EMOE: Modality-Specific Enhanced Dynamic Emotion Experts
2025Yiyang Fang, Wenke Huang et al.
[5]
Multimodal Transformers are Hierarchical Modal-wise Heterogeneous Graphs
2025Yijie Jin, Junjie Peng et al.
[6]
RTS-ViT: Real-Time Share Vision Transformer for Image Classification
2025Chunlei Meng, Wei Lin et al.
[7]
DLF: Disentangled-Language-Focused Multimodal Sentiment Analysis
2024Pan Wang, Qiang Zhou et al.
[8]
Semi-IIN: Semi-supervised Intra-inter modal Interaction Learning Network for Multimodal Sentiment Analysis
2024Jinhao Lin, Yifei Wang et al.
[9]
Enriching Multimodal Sentiment Analysis through Textual Emotional Descriptions of Visual-Audio Content
2024Sheng Wu, Xiaobao Wang et al.
[10]
Classifier-guided Gradient Modulation for Enhanced Multimodal Learning
2024Zirun Guo, Tao Jin et al.
[11]
CTA-Net: A CNN-Transformer Aggregation Network for Improving Multi-Scale Feature Extraction
2024Chunlei Meng, Jiacheng Yang et al.
[12]
We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?
2024Runqi Qiao, Qiuna Tan et al.
[13]
Contextual Augmented Global Contrast for Multimodal Intent Recognition
2024Kaili Sun, Zhiwen Xie et al.
[14]
MInD: Improving Multimodal Sentiment Analysis via Multimodal Information Disentanglement
2024Weichen Dai, Xingyu Li et al.
[15]
D2R: Dual-Branch Dynamic Routing Network for Multimodal Sentiment Detection
2024Yifan Chen, Kuntao Li et al.
[16]
Fine-Grained Disentangled Representation Learning For Multimodal Emotion Recognition
2023Haoqin Sun, Shiwan Zhao et al.
[17]
Learning Language-guided Adaptive Hyper-modality Representation for Multimodal Sentiment Analysis
2023Haoyu Zhang, Yu Wang et al.
[18]
Decoupled Multimodal Distilling for Emotion Recognition
2023Yong Li, Yuan-Zheng Wang et al.
[19]
ConFEDE: Contrastive Feature Decomposition for Multimodal Sentiment Analysis
2023Jiuding Yang, Yu et al.
[20]
Disentangled Representation Learning for Multimodal Emotion Recognition
2022Dingkang Yang, Shuai Huang et al.

Showing 20 of 31 references

Founder's Pitch

"Tri-Subspace Disentanglement framework improves multimodal sentiment analysis by enhancing cross-modal synergies and modality-specific cues."

Multimodal Sentiment AnalysisScore: 5View PDF ↗

Commercial Viability Breakdown

0-10 scale

High Potential

2/4 signals

5

Quick Build

2/4 signals

5

Series A Potential

1/4 signals

2.5

Sources used for this analysis

arXiv Paper

Full-text PDF analysis of the research paper

GitHub Repository

Code availability, stars, and contributor activity

Citation Network

Semantic Scholar citations and co-citation patterns

Community Predictions

Crowd-sourced unicorn probability assessments

Analysis model: GPT-4o · Last scored: 2/23/2026

Explore the full citation network and related research.

7-day free trial. Cancel anytime.

Understand the commercial significance and market impact.

7-day free trial. Cancel anytime.

Get detailed profiles of the research team.

7-day free trial. Cancel anytime.

Related Papers

Loading…