Latest Research in Sentiment Analysis and Opinion Mining
17 research papers · 2026 median publication year
Top Research Topics in Sentiment Analysis and Opinion Mining
- Sentiment Analysis and Opinion Mining — 5 papers
- Emotion and Mood Recognition — 3 papers
- Computation and Language — 3 papers
- Multimedia — 2 papers
- Artificial Intelligence — 2 papers
- Computer Vision and Pattern Recognition — 1 papers
- Computational and Text Analysis Methods — 1 papers
Highest-Cited Papers
- Enhancing Text-Based Emotion Detection in Turkish and English: A Sentence-Level Enrichment Approach Using BERT and DistilBERT
- COTEA: capsule-optimized tri-modal expert alignment for multimodal sentiment analysis
- Unsupervised Multimodal Intent Discovery via MLLM-Guided Concept Generation and Semantic Propagation
- Dynamic Interaction-Aware and Causality-Disentangled Framework for Multimodal Sentiment Analysis
- Fine-Grained Sentiment Recognition Model for English Writing Texts Based on BERT-CNN-BiGRU
- Should Missing Modalities Always Be Necessary to Repair for Multi-modal Sentiment Analysis?
- HCIG: A Hierarchical Cross-Modal Incongruity Graph Network for Multimodal Sarcasm and Cyberbullying Detection
- UCMR-Net: Text-Anchored Residual Fusion with Adaptive Residual Weighting for Multimodal Sentiment Intensity Prediction
- Temporal shifts and relationships of emotions in social and mass media: A case study of the “Reiwa Rice Riot” in Japan
- Beyond a Joke: Multi-Angle Reasoning for Detecting and Explaining Harmful Humor in Memes
- Segregate, Refine, Integrate: Decomposing Multimodal Fusion for Sentiment Analysis
- Multi-level global and local fusion for multimodal sentiment analysis
- MRUF: Multi-granularity Routing with Uncertainty-Aware Fusion for Robust Multimodal Sentiment Analysis
- An explainable AfroXLMR approach for multi-label emotion classification of Amharic social media text with dataset release
- Implicit-Emotion Recognition Model Based on Content–Style Decoupling and Conditional Fusion
- Audio Sentiment Analysis via Distillation and Cross-Modal Integration of Generated Multilingual Transcripts
- IAGF: a dual-path collaborative inconsistency-aware global fusion network for multimodal sarcasm detection