Latest Research in Sentiment Analysis and Opinion Mining

38 research papers · 2026 median publication year

Top Research Topics in Sentiment Analysis and Opinion Mining

Highest-Cited Papers

  1. A Hybrid Transformer-Ensemble Framework for Precise Election Poll Analysis
  2. Enhancing sentiment analysis accuracy: strategic pre-calibration to mitigate anchoring bias
  3. A hybrid RoBERTa–BiLSTM framework for aspect-based sentiment analysis of Monkeypox tweets
  4. Balancing Sentiment Analysis Datasets Through Representative-Word-Guided Synthetic Review Generation: A Case Study on Mexican Spanish Tourism Reviews
  5. Activity Classification in E-Commerce Product Reviews Using Deep Learning and Transformer Models
  6. Language-Specific versus Cross-Lingual Knowledge Graphs for Implicit Aspect Identification in Arabic: A Comparative Study of Reasoning and Adaptation Strategies
  7. TriAgent: Divergence-Aware Multi-Agent Committees for Cost-Efficient Financial Sentiment Analysis
  8. Leveraging NLP and deep learning models for political opinion mining: sentiment classification and sequential analysis of news media influence on elections
  9. Enhanced Sentiment Classification Using a Hybrid Approach: Knowledge-Based Genetic, Relieff, and Partial Reinforcement Optimizer
  10. ML-Based SMS Messaging Spam Detection: Impacts of Text Feature Extraction Techniques
  11. A quantitative study on user interaction and brand perception of visual elements in social media advertising driven by deep learning
  12. Are large language models effective for detecting spam messages?
  13. More information, better forecasting? Empirical evidence from integrating customer sentiment and Google Trends
  14. A Secure Lightweight SMS Spam Detection Framework with Robustness to Text Obfuscation Attacks
  15. Fraud App Detection Using Sentiment Analysis and Machine Learning
  16. Fraud App Detection Using Sentiment Analysis and Machine Learning
  17. Measuring Sentiment News with Transformer-Based Language Models
  18. Constraint-Aware Counterfactual Editing for Aspect-Based Sentiment Analysis
  19. A hybrid CNN-BiGRU-attention architecture for enhanced spam email classification
  20. Harnessing NLP and sentiment analysis for collaborative innovation: a systematic review
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2026 JUL Q4

Sentiment Analysis and Opinion Mining

38 papers

Top Topics (10)

Sentiment Analysis and Opinion Mining15
Computation and Language8
Spam and Phishing Detection6
Misinformation and Its Impacts1
Diverse Topics in Contemporary Research1
Forecasting Techniques and Applications1
General Finance1
Cinema and Media Studies1
Software Engineering Techniques and Practices1
Diverse Aspects of Tourism Research1

Top Publications (20)

1.A Hybrid Transformer-Ensemble Framework for Precise Election Poll Analysis2.Enhancing sentiment analysis accuracy: strategic pre-calibration to mitigate anchoring bias3.A hybrid RoBERTa–BiLSTM framework for aspect-based sentiment analysis of Monkeypox tweets4.Balancing Sentiment Analysis Datasets Through Representative-Word-Guided Synthetic Review Generation: A Case Study on Mexican Spanish Tourism Reviews5.Activity Classification in E-Commerce Product Reviews Using Deep Learning and Transformer Models6.Language-Specific versus Cross-Lingual Knowledge Graphs for Implicit Aspect Identification in Arabic: A Comparative Study of Reasoning and Adaptation Strategies7.TriAgent: Divergence-Aware Multi-Agent Committees for Cost-Efficient Financial Sentiment Analysis8.Leveraging NLP and deep learning models for political opinion mining: sentiment classification and sequential analysis of news media influence on elections9.Enhanced Sentiment Classification Using a Hybrid Approach: Knowledge-Based Genetic, Relieff, and Partial Reinforcement Optimizer10.ML-Based SMS Messaging Spam Detection: Impacts of Text Feature Extraction Techniques11.A quantitative study on user interaction and brand perception of visual elements in social media advertising driven by deep learning12.Are large language models effective for detecting spam messages?13.More information, better forecasting? Empirical evidence from integrating customer sentiment and Google Trends14.A Secure Lightweight SMS Spam Detection Framework with Robustness to Text Obfuscation Attacks15.Fraud App Detection Using Sentiment Analysis and Machine Learning16.Fraud App Detection Using Sentiment Analysis and Machine Learning17.Measuring Sentiment News with Transformer-Based Language Models18.Constraint-Aware Counterfactual Editing for Aspect-Based Sentiment Analysis19.A hybrid CNN-BiGRU-attention architecture for enhanced spam email classification20.Harnessing NLP and sentiment analysis for collaborative innovation: a systematic review
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