Contextual Attention-Based Multimodal Fusion of LLM and CNN for Sentiment Analysis
Fuente:
arXiv
Saved in:
| Main Authors: | Zerkouk, Meriem, Mihoubi, Miloud, Chikhaoui, Belkacem |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Dynamic Sparse Causal-Attention Temporal Networks for Interpretable Causality Discovery in Multivariate Time Series
by: Zerkouk, Meriem, et al.
Published: (2025)
by: Zerkouk, Meriem, et al.
Published: (2025)
SentiDrop: A Multi Modal Machine Learning model for Predicting Dropout in Distance Learning
by: Zerkouk, Meriem, et al.
Published: (2025)
by: Zerkouk, Meriem, et al.
Published: (2025)
A Comprehensive Review of AI-based Intelligent Tutoring Systems: Applications and Challenges
by: Zerkouk, Meriem, et al.
Published: (2025)
by: Zerkouk, Meriem, et al.
Published: (2025)
Beyond classical and contemporary models: a transformative AI framework for student dropout prediction in distance learning using RAG, Prompt engineering, and Cross-modal fusion
by: Mihoubi, Miloud, et al.
Published: (2025)
by: Mihoubi, Miloud, et al.
Published: (2025)
Multi-Modality Collaborative Learning for Sentiment Analysis
by: Wang, Shanmin, et al.
Published: (2025)
by: Wang, Shanmin, et al.
Published: (2025)
Movie Recommendation with Poster Attention via Multi-modal Transformer Feature Fusion
by: Xia, Linhan, et al.
Published: (2024)
by: Xia, Linhan, et al.
Published: (2024)
CADMR: Cross-Attention and Disentangled Learning for Multimodal Recommender Systems
by: Khalafaoui, Yasser, et al.
Published: (2024)
by: Khalafaoui, Yasser, et al.
Published: (2024)
MAGE: Multi-Head Attention Guided Embeddings for Low Resource Sentiment Classification
by: Vashisht, Varun, et al.
Published: (2025)
by: Vashisht, Varun, et al.
Published: (2025)
Evidence-Grounded Multimodal Misinformation Detection with Attention-Based GNNs
by: Duwal, Sharad, et al.
Published: (2025)
by: Duwal, Sharad, et al.
Published: (2025)
Contextual Bandit with Herding Effects: Algorithms and Recommendation Applications
by: Xu, Luyue, et al.
Published: (2024)
by: Xu, Luyue, et al.
Published: (2024)
A Reproducibility Analysis of PO4ISR: Diagnosing and Mitigating Semantic Drift in LLM-Based Session Recommendation
by: Tiwari, Aditya, et al.
Published: (2026)
by: Tiwari, Aditya, et al.
Published: (2026)
AdaptEx: A Self-Service Contextual Bandit Platform
by: Black, William, et al.
Published: (2023)
by: Black, William, et al.
Published: (2023)
An Efficient Recommendation Model Based on Knowledge Graph Attention-Assisted Network (KGATAX)
by: Wu, Zhizhong
Published: (2024)
by: Wu, Zhizhong
Published: (2024)
Token Trails: Navigating Contextual Depths in Conversational AI with ChatLLM
by: Kowsher, Md., et al.
Published: (2024)
by: Kowsher, Md., et al.
Published: (2024)
AttentionDep: Domain-Aware Attention for Explainable Depression Severity Assessment
by: Ibrahimov, Yusif, et al.
Published: (2025)
by: Ibrahimov, Yusif, et al.
Published: (2025)
Joint Modeling of Search and Recommendations Via an Unified Contextual Recommender (UniCoRn)
by: Bhattacharya, Moumita, et al.
Published: (2024)
by: Bhattacharya, Moumita, et al.
Published: (2024)
SentimentLens: Reconciling Sentiment and Ratings via Dual-Modality in the Hospitality Sector
by: Jayakody, Dineth, et al.
Published: (2026)
by: Jayakody, Dineth, et al.
Published: (2026)
TOBUGraph: Knowledge Graph-Based Retrieval for Enhanced LLM Performance Beyond RAG
by: Kashmira, Savini, et al.
Published: (2024)
by: Kashmira, Savini, et al.
Published: (2024)
Federated Vision-Language-Recommendation with Personalized Fusion
by: Li, Zhiwei, et al.
Published: (2024)
by: Li, Zhiwei, et al.
Published: (2024)
Learning Unsupervised Semantic Document Representation for Fine-grained Aspect-based Sentiment Analysis
by: Fu, Hao-Ming, et al.
Published: (2024)
by: Fu, Hao-Ming, et al.
Published: (2024)
Interpretable Markov-Based Spatiotemporal Risk Surfaces for Missing-Child Search Planning with Reinforcement Learning and LLM-Based Quality Assurance
by: Castillo, Joshua, et al.
Published: (2026)
by: Castillo, Joshua, et al.
Published: (2026)
Multi-Item-Query Attention for Stable Sequential Recommendation
by: Xu, Mingshi, et al.
Published: (2025)
by: Xu, Mingshi, et al.
Published: (2025)
Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning
by: Han, Xiao, et al.
Published: (2024)
by: Han, Xiao, et al.
Published: (2024)
An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention
by: Shin, Yehjin, et al.
Published: (2023)
by: Shin, Yehjin, et al.
Published: (2023)
Position-Aware Sequential Attention for Accurate Next Item Recommendations
by: Nabiev, Timur, et al.
Published: (2026)
by: Nabiev, Timur, et al.
Published: (2026)
Recall: Empowering Multimodal Embedding for Edge Devices
by: Cai, Dongqi, et al.
Published: (2024)
by: Cai, Dongqi, et al.
Published: (2024)
Orchestrating Heterogeneous Experts: A Scalable MoE Framework with Anisotropy-Preserving Fusion
by: Liu, Ye, et al.
Published: (2025)
by: Liu, Ye, et al.
Published: (2025)
Sequential Recommendation via Adaptive Robust Attention with Multi-dimensional Embeddings
by: Pang, Linsey, et al.
Published: (2024)
by: Pang, Linsey, et al.
Published: (2024)
Order-Preserving Dimension Reduction for Multimodal Semantic Embedding
by: Gong, Chengyu, et al.
Published: (2024)
by: Gong, Chengyu, et al.
Published: (2024)
Enhancing Link Prediction with Fuzzy Graph Attention Networks and Dynamic Negative Sampling
by: Xing, Jinming, et al.
Published: (2024)
by: Xing, Jinming, et al.
Published: (2024)
Enhancing Performance and Scalability of Large-Scale Recommendation Systems with Jagged Flash Attention
by: Xu, Rengan, et al.
Published: (2024)
by: Xu, Rengan, et al.
Published: (2024)
Analysis of Anonymous User Interaction Relationships and Prediction of Advertising Feedback Based on Graph Neural Network
by: Dai, Yanjun, et al.
Published: (2025)
by: Dai, Yanjun, et al.
Published: (2025)
LLM-assisted Vector Similarity Search
by: Riyadh, Md, et al.
Published: (2024)
by: Riyadh, Md, et al.
Published: (2024)
X-SYNTH: Beyond Retrieval -- Enterprise Context Synthesis from Observed Digital Human Attention
by: Raghavan, Guruprasad, et al.
Published: (2026)
by: Raghavan, Guruprasad, et al.
Published: (2026)
Unifying Inductive, Cross-Domain, and Multimodal Learning for Robust and Generalizable Recommendation
by: Chung, Chanyoung, et al.
Published: (2025)
by: Chung, Chanyoung, et al.
Published: (2025)
Test-Time Scaling Strategies for Generative Retrieval in Multimodal Conversational Recommendations
by: Hsu, Hung-Chun, et al.
Published: (2025)
by: Hsu, Hung-Chun, et al.
Published: (2025)
KARMA: Knowledge-Action Regularized Multimodal Alignment for Personalized Search at Taobao
by: Sun, Zhi, et al.
Published: (2026)
by: Sun, Zhi, et al.
Published: (2026)
How to Discover Knowledge for FutureG: Contextual RAG and LLM Prompting for O-RAN
by: Conger, Nathan, et al.
Published: (2025)
by: Conger, Nathan, et al.
Published: (2025)
Preference Discerning with LLM-Enhanced Generative Retrieval
by: Paischer, Fabian, et al.
Published: (2024)
by: Paischer, Fabian, et al.
Published: (2024)
BGM-HAN: A Hierarchical Attention Network for Accurate and Fair Decision Assessment on Semi-Structured Profiles
by: Liu, Junhua, et al.
Published: (2025)
by: Liu, Junhua, et al.
Published: (2025)
Similar Items
-
Dynamic Sparse Causal-Attention Temporal Networks for Interpretable Causality Discovery in Multivariate Time Series
by: Zerkouk, Meriem, et al.
Published: (2025) -
SentiDrop: A Multi Modal Machine Learning model for Predicting Dropout in Distance Learning
by: Zerkouk, Meriem, et al.
Published: (2025) -
A Comprehensive Review of AI-based Intelligent Tutoring Systems: Applications and Challenges
by: Zerkouk, Meriem, et al.
Published: (2025) -
Beyond classical and contemporary models: a transformative AI framework for student dropout prediction in distance learning using RAG, Prompt engineering, and Cross-modal fusion
by: Mihoubi, Miloud, et al.
Published: (2025) -
Multi-Modality Collaborative Learning for Sentiment Analysis
by: Wang, Shanmin, et al.
Published: (2025)