Text Classification Explained: Naive Bayes, Logistic Regression, & Fine-Tuned BERT
Text Classification powers spam filters, news categorization, and sentiment analysis! This complete guide breaks down the full NLP pipeline, from Preprocessing (Stop Words & Lemmatization) to Feature Extraction (TF-IDF & Embeddings). We then dive into three powerful classifiers: Naive Bayes (fast baseline), Logistic Regression (reliable and interpretable), and Fine-Tuned BERT (state-of-the-art context understanding). Includes a decision framework, tuning tips, and real code examples you can use to build your own classifier.
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