SemMSA: Latent Semantic-Aided Robust Multimodal Sentiment Analysis with Incomplete Data

arXiv:2609.30238 · cs.CL, cs.CV, cs.MM · Submitted 2026-09-24 · Read on arXiv

cs.CL, cs.CV, cs.MM

Submitted: 2026-09-24

Updated: 2026-09-24

Terminology

• Alignment — 53× in this paper · explained in 1 episode
• Multimodal Sentiment Analysis — 26× in this paper
• Robustness — 12× in this paper · explained in 5 episodes
• Cross-modal Spectral Alignment — 11× in this paper
• Transformer — 9× in this paper · explained in 2 episodes
• Consistency — 8× in this paper · explained in 3 episodes
• Embeddings — 7× in this paper · explained in 2 episodes
• Benchmark — 6× in this paper · explained in 2 episodes
• Representation Learning — 6× in this paper · explained in 2 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Ablation study — 4× in this paper · explained in 1 episode
• Contrastive Learning — 4× in this paper · explained in 5 episodes
• F1 Score — 4× in this paper · explained in 3 episodes
• Affective Computing — 3× in this paper · explained in 1 episode
• Generalization — 3× in this paper · explained in 13 episodes
• Multimodal Inputs — 3× in this paper · explained in 2 episodes
• Multimodal Learning — 3× in this paper · explained in 2 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Alignment Methods — 2× in this paper · explained in 1 episode
• Computational overhead — 2× in this paper · explained in 2 episodes
• Distillation — 2× in this paper · explained in 2 episodes
• Hilbert Space — 2× in this paper · explained in 2 episodes
• Reproducing Kernel Hilbert Space — 2× in this paper
• Reproducing Kernel Hilbert Space (RKHS) — 2× in this paper · explained in 3 episodes
• Abstraction — 1× in this paper · explained in 1 episode
• Actor — 1× in this paper · explained in 3 episodes
• AdamW Optimizer — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Crossmodal Semantic Refinement — 1× in this paper
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Domain Adaptation — 1× in this paper · explained in 5 episodes
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Knowledge Distillation — 1× in this paper · explained in 11 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Mean Absolute Error — 1× in this paper
• Multimodal Dataset — 1× in this paper · explained in 2 episodes
• Multimodal Fusion — 1× in this paper · explained in 3 episodes
• Predictive Coding — 1× in this paper · explained in 2 episodes
• Radial Basis Function — 1× in this paper
• Regularization — 1× in this paper · explained in 3 episodes
• Self-Distillation — 1× in this paper · explained in 7 episodes

Sources

• MER 2026: From Discriminative Emotion Recognition to Generative Emotion Understanding
• TF-Mamba: Text-enhanced Fusion Mamba with Missing Modalities for Robust Multimodal Sentiment Analysis
• MOSI: Multimodal Corpus of Sentiment Intensity and Subjectivity Analysis in Online Opinion Videos
• Qwen3 Technical Report
• Representation Learning with Contrastive Predictive Coding
• Qwen2.5-Omni Technical Report
• The Llama 3 Herd of Models

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