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MATLAB Code vs App: Emotion Analysis
A comprehensive comparison between manually coded MATLAB models and models generated using MATLAB's Classification Learner app for emotion analysis. Tests Decision Tree classifiers on a 52,681-sample dataset with 14,414 TF-IDF features, finding the App is ~4.7x faster with identical accuracy (~65%).
Tech Stack
MATLABTF-IDFDecision TreeMachine LearningNLP
Key Features
0152,681 samples with 14,414 TF-IDF features
025-fold cross-validation comparison
03App is ~4.7x faster with identical ~65% accuracy
04Structured development pipeline (loading, preprocessing, training)