Comparative Analysis of Logistic Regression, Naïve Bayes, and Random Forest for Sentiment-based Fraud Detection in Fintech Feedback.
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Summary
An undergraduate research project focused on evaluating machine learning models for sentiment-based fraud detection in fintech feedback, utilizing NLP techniques and comparative analysis to identify optimal predictive performance.