Enhancing Sentiment Analysis with GPT—A Comparison of Large Language Models and Traditional Machine Learning Techniques

Keyphrases

• Machine Learning Techniques 100%
• Sentiment Analysis 100%
• Traditional Machine Learning 100%
• Large Language Models 100%
• GPT-2 42%
• Random Forest 28%
• World Wide Web 14%
• User-generated Content 14%
• Popular 14%
• Machine Learning Models 14%
• F1 Score 14%
• Traditional Models 14%
• ROC-AUC 14%
• Transformer Model 14%
• ROC Score 14%
• Research Paper Analysis 14%
• Nave Bayes 14%
• Precision Accuracy 14%
• Textual Data 14%
• Traditional Machine Learning Model 14%

Social Sciences

• Large Language Model 100%
• Learning Method 100%
• Opinion Mining 100%
• Machine Learning 100%
• Learning System 100%
• Random Forest 28%
• Alanine Aminotransferase 28%
• Machine Learning Model 28%

Computer Science

• Sentiment Analysis 100%
• Machine Learning Technique 100%
• Large Language Model 100%
• Random Decision Forest 28%
• Support Vector Machine 28%
• Machine Learning Model 28%
• User-Generated Content 14%
• Research Paper 14%
• Traditional Model 14%
• Nave Bayes 14%