Customer Sentiment Analysis

Customer Sentiment Analysis is the systematic extraction of emotional tone and opinions from unstructured customer feedback—such as product reviews, support conversations, social media posts, and complaints—and converting it into structured, actionable insight. Instead of manually reading thousands of comments, organizations use models that classify sentiment (e.g., positive, negative, neutral, or more granular emotions) and often tie these attitudes to specific products, features, or issues. This application matters because consumer-facing businesses are overwhelmed by the volume, speed, and multilingual nature of modern feedback channels. Automated sentiment analysis enables real-time monitoring of satisfaction, early detection of emerging problems, and richer understanding of what drives loyalty or churn. The output informs product roadmaps, merchandising decisions, marketing messaging, and customer service priorities, turning raw text into a continuous “voice of the customer” signal at scale.