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.