Classify text preprocessing steps by whether they preserve, remove, or conditionally transform signal.
Sort each preprocessing move by its usual risk profile. Usually Safe Context-Dependent Risky Without Testing Normalize inconsistent whitespace created by exports. Remove repeated legal footer text from every email. Lowercase all text before TF-IDF classification. Mask account numbers as ACCOUNT_ID. Remove all stop words from intent text. Delete all punctuation from urgent support messages. Strip all emojis before sentiment analysis. Truncate from the beginning of a customer complaint. I do not want this want this after stop-word deletion Negation is often a stop-word casualty.
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