Text Preprocessing (Tokenization, Stemming, Lemmatization)

Summary

Splitting raw text into usable units and normalizing word forms — the first step in any classic NLP pipeline before embeddings or model input.

• 1Practice tokenization, stemming and lemmatization with NLTK or spaCy on real text.
• 2Learn when stemming's aggressiveness is fine vs. when lemmatization's accuracy matters more.
• 3Understand that modern LLM tokenizers (BPE) work differently from classic word tokenization.