You are working with a large stream of user feedback from app reviews, support tickets, and survey comments. The goal is to identify recurring themes and emerging trends without relying on a fully labeled dataset. You need a practical NLP approach that can group similar comments, surface common topics, and help analysts track how feedback changes over time.
What would your approach be to identify trends from a large volume of user feedback?