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Just wrapped up a new project: an Emotion Analyzer built with NLP + Machine Learning. It takes any sentence and predicts the emotion behind it — sadness, anger, love, surprise, fear, or joy — using a Logistic Regression model trained on TF-IDF features (86% accuracy after benchmarking against Naive Bayes and SVM).
Just wrapped up a new project: an Emotion Analyzer built with NLP + Machine Learning. It takes any sentence and predicts the emotion behind it — sadness, anger, love, surprise, fear, or joy — using a Logistic Regression model trained on TF-IDF features (86% accuracy after benchmarking against Naive Bayes and SVM).