What is review sentiment analysis and how does it inform strategy?

Review sentiment analysis turns a pile of individual reviews into a diagnosis. By classifying reviews along two axes, sentiment and theme, you can see past the star average to the actual drivers: a product defect, a service-response problem, a single underperforming location, a pricing complaint. That distinction matters because the two outputs are different. The themes point operations toward the fixes that will move the underlying ratings, since no response strategy survives a real, recurring problem. The sentiment trend points the response program toward where attention is most needed. The analysis also feeds the AI layer: the recurring themes a sentiment pass reveals are the same ones AI engines extract and paraphrase, so knowing your dominant negative theme tells you what a model is likely saying about you. We track that correspondence with AIQ, because the goal is to fix the issue before it hardens into the engines’ standing summary of the business.