HappyDB Emotion Detection - NLP
Date:
Performed sentiment analysis on the HappyDB dataset for emotion classification achieving 89.6% accuracy, comparing the performance of various models including Gradient-Boosting methods, BiLSTM, Naive Bayes, Random Forest and Regression.