You are reviewing a large set of customer feedback comments collected from surveys, support tickets, and app reviews. The text is messy, short, and repetitive, with many spelling errors, product names, and vague complaints. You want to group the feedback into a small set of themes that a marketing team can scan and act on.
How would you use topic modeling to summarize themes in customer feedback?