Interview Guides
You are working on a text classification pipeline for short customer messages and internal notes. The raw text includes casing differences, punctuation noise, contractions, URLs, and domain terms that appear in multiple forms. You want to prepare the text so a downstream model can learn from consistent, useful features.
How would you preprocess text before modeling?