You are working with a stream of open-ended customer feedback from app reviews, support chats, and survey comments. The feedback is messy, short, and repetitive, with many spelling errors, emojis, and product-specific terms. Your goal is to group similar comments into themes so the business can track what users talk about most often and spot emerging issues.
How would you identify themes in customer feedback at scale?