Latest Research in Online Learning and Analytics

Top Research Topics in Online Learning and Analytics

• Sentiment Analysis and Opinion Mining — 18 papers
• Computation and Language — 5 papers
• Online Learning and Analytics — 1 papers
• Public Relations and Crisis Communication — 1 papers
• Machine Learning — 1 papers
• Explainable Artificial Intelligence (XAI) — 1 papers
• Diverse Aspects of Tourism Research — 1 papers

Highest-Cited Papers

1. Evaluating fine-tuned, embedding-based, and zero-shot models for aspect-based sentiment analysis in South Slavic news
2. MSRA-CCL: Multi-Source Reliability-Aware Aggregation and Cross-Domain Consistency Learning for Weakly Supervised Sentiment Classification
3. ViTOED: A Dataset for Target-Oriented Emotion Detection on Vietnamese Social Media Texts
4. Robustness Analysis Of Lightweight Machine Learning Models For Sentiment Classification Under Noisy Text
5. An Interpretable and Optimized Attention-Driven LSTM Framework for Email Sentiment Classification
6. Sentiment classification optimization based on improved Senti-BERT and BiLSTM-Attention
7. Chain of thought driven reinforcement alignment with KAN for multimodal sentiment analysis of tourist reviews
8. Can LLMs Follow the Pulse of a Crisis? Evaluating Crisis Sentiment in Bangladesh's July Uprising
9. When Do Transformers Actually Win? Sentiment Classification In Low-Data Settings
10. Does Script Matter? Evaluating Large Language Models for Urdu Sentiment Analysis across Nastaliq, Roman Urdu, and Code-Switched Text
11. Does Script Matter? Evaluating Large Language Models for Urdu Sentiment Analysis across Nastaliq, Roman Urdu, and Code-Switched Text
12. AI-Driven Learning Analytics for Student Evaluations of Teaching: Detecting Score–Text Asymmetry and Heterogeneity with LDA and RoBERTa
13. Sentiment-guided semantic ranking framework for aspect-aware product review summarization
14. Attention-based dual-encoder fusion for robust sentiment classification in healthcare text
15. A Sociotechnical System Approach to Multimodal Emotion Propagation in Disaster Governance: Lessons from the 2021 Zhengzhou Flood
16. IndicTriMix: Developing Language Identification Datasets and Models for Tri-Language Code-Mixing
17. QTrans: A Quantum Transformer for Sentiment Classification
18. Improved LinkNet with new aspect term extraction for multi-modal sarcasm detection
19. An AFFA-Integrated Hybrid Deep Learning Framework for Explainable Sentiment Analysis
20. Evaluating parameter-efficient fine-tuning of large language models for sentiment analysis with bayesian optimization