Latest Research in Computer Vision and Pattern Recognition

Top Research Topics in Computer Vision and Pattern Recognition

• Sentiment Analysis and Opinion Mining — 11 papers
• Computation and Language — 4 papers
• Computer Vision and Pattern Recognition — 2 papers
• Digital Marketing and Social Media — 1 papers
• AI in Service Interactions — 1 papers
• Hate Speech and Cyberbullying Detection — 1 papers
• Translation Studies and Practices — 1 papers

Highest-Cited Papers

1. An Optimized Method for Sentiment Analysis of Short Video Comments in University Reputation Monitoring Based on Domain Dictionary and Prompt Learning
2. A Topic-Aware Structured Semantic Representation Framework for Sentiment Analysis in Greek Social Media
3. Token-Region Guided Cross-Attention Fusion for Multimodal Affect Interpretation
4. EVL-MCoT: Enhanced Vision-Language Multi-CoT for Harmful Meme Detection
5. Bilingual emotion recognition of social media texts using deep learning approach
6. The ClimaSentAR dataset for evaluating cross-domain transferability of large language models in climate sentiment analysis
7. Integration of Bi-LSTM for Film Tourism Scene Perception and Tourist Satisfaction under Artificial Intelligence
8. A comparative approach on multiple neural network models aiming to perform a sentiment classification on tweets related to COVID-19 pandemic
9. GRASP: Grounded CoT Reasoning with Dual-Stage Optimization for Multimodal Sarcasm Target Identification
10. Comparative study of chatbots for sentiment analysis
11. An optimized deep learning-based drug recommendation system using a sentiment analysis and transformer models for improved predictions
12. Application-Oriented intelligent sentiment analysis: Classical vs deep models with multi-embedding strategies
13. A Durability and Cross-Language Transfer Benchmark for a Validated Teaching-Feedback Classification Protocol
14. Large Language Models for Token-Efficient and Semantic-Preserving Opinion Summarization
15. Efficient Sentiment, Emotion, and Toxic Speech Analysis on Social Media Using Lightweight LLMs: A Practical Approach for Digital Transformation
16. A Durability and Cross-Language Transfer Benchmark for a Validated Teaching-Feedback Classification Protocol
17. A Durability and Cross-Language Transfer Benchmark for a Validated Teaching-Feedback Classification Protocol
18. Is Domain Adaptation Always Helpful? A Frozen-Backbone Study of Cross-Domain Sentiment Transfer
19. Multi-Level Online Public Opinion Sentiment Analysis Method Based on Text Features
20. Lost in algorithmic translation? A quantitative analysis of sentimental differences between human and machine translation of the children’s literature classic The Wind in the Willows