Your question is Preprocess Text for Classification. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
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?