Topic Modeling for Customer Feedback Mining

Topic modeling is an unsupervised AI technique that scans large collections of text, such as reviews, survey responses, or support tickets, and automatically groups them into recurring themes without requiring predefined categories. Algorithms like LDA and BERTopic identify the latent subjects customers keep returning to across thousands of individual responses.

Small business owners use topic modeling to discover product complaints, unmet needs, and service friction points that would stay hidden inside spreadsheets of raw feedback. Feeding this output into your product roadmap or marketing messaging ensures you are solving problems customers actually care about rather than problems you assume they have.