Latest Research in Sentiment Analysis and Opinion Mining
38 research papers · 2026 median publication year
Top Research Topics in Sentiment Analysis and Opinion Mining
- Sentiment Analysis and Opinion Mining — 15 papers
- Computation and Language — 8 papers
- Spam and Phishing Detection — 6 papers
- Misinformation and Its Impacts — 1 papers
- Diverse Topics in Contemporary Research — 1 papers
- Forecasting Techniques and Applications — 1 papers
- General Finance — 1 papers
- Cinema and Media Studies — 1 papers
- Software Engineering Techniques and Practices — 1 papers
- Diverse Aspects of Tourism Research — 1 papers
Highest-Cited Papers
- A Hybrid Transformer-Ensemble Framework for Precise Election Poll Analysis
- Enhancing sentiment analysis accuracy: strategic pre-calibration to mitigate anchoring bias
- A hybrid RoBERTa–BiLSTM framework for aspect-based sentiment analysis of Monkeypox tweets
- Balancing Sentiment Analysis Datasets Through Representative-Word-Guided Synthetic Review Generation: A Case Study on Mexican Spanish Tourism Reviews
- Activity Classification in E-Commerce Product Reviews Using Deep Learning and Transformer Models
- Language-Specific versus Cross-Lingual Knowledge Graphs for Implicit Aspect Identification in Arabic: A Comparative Study of Reasoning and Adaptation Strategies
- TriAgent: Divergence-Aware Multi-Agent Committees for Cost-Efficient Financial Sentiment Analysis
- Leveraging NLP and deep learning models for political opinion mining: sentiment classification and sequential analysis of news media influence on elections
- Enhanced Sentiment Classification Using a Hybrid Approach: Knowledge-Based Genetic, Relieff, and Partial Reinforcement Optimizer
- ML-Based SMS Messaging Spam Detection: Impacts of Text Feature Extraction Techniques
- A quantitative study on user interaction and brand perception of visual elements in social media advertising driven by deep learning
- Are large language models effective for detecting spam messages?
- More information, better forecasting? Empirical evidence from integrating customer sentiment and Google Trends
- A Secure Lightweight SMS Spam Detection Framework with Robustness to Text Obfuscation Attacks
- Fraud App Detection Using Sentiment Analysis and Machine Learning
- Fraud App Detection Using Sentiment Analysis and Machine Learning
- Measuring Sentiment News with Transformer-Based Language Models
- Constraint-Aware Counterfactual Editing for Aspect-Based Sentiment Analysis
- A hybrid CNN-BiGRU-attention architecture for enhanced spam email classification
- Harnessing NLP and sentiment analysis for collaborative innovation: a systematic review