Customer Sentiment Analyzer

Companies receive thousands of customer reviews, ratings, and social mentions everyday across different countries/languages, different platforms, website and applications. It is some heavy lift to read it all and make sense out of the data and bring it in one place to make it easy for gathering insights and enabling actionable business intelligence

The tool makes that feedback readable at scale. It automatically processes every review and mention, scores it for sentiment, and tags it with a root cause — so instead of thousands of individual data points, a product manager sees that 63% of negative reviews this month are about (for ex: battery life on the X2 Ultra, specifically from customers in Germany and Japan.) The platform answers three core business questions: 1. What are customers saying? — Sentiment classification across reviews and social platforms. 2. Why are they saying it?— Topic attribution linking feedback to business dimensions (pricing, quality, delivery, etc.). 3. Does it affect the bottom line? — Statistical correlation between customer sentiment trends and monthly revenue. Raw Text → VADER Scoring → Sentiment Label → Topic Classification → Aggregation → Charts → Dashboard