Machine Learning Techniques for Emotion Detection

This presentation delves into Phase 3 Emotion Detection, emphasizing the importance of emotion analysis in decision-making and critical applications. It includes insights into handling and preprocessing datasets like FER-2013 with techniques like SMOTE and image equalization. Key stages address algorithm evaluation (SVM, RF, XGBoost) using metrics like accuracy and efficiency while exploring challenges such as data imbalance. Performance results highlight opportunities for hybrid Machine...