What are the core steps in an NLP pipeline for text classification?

Typical NLP pipeline: - Clean and normalize text - Tokenize - Represent text (TF-IDF, embeddings) - Train model (linear, tree, transformer) - Evaluate with appropriate metrics Modern systems often use pretrained transformers but still need careful labeling, bias checks, and monitoring.