AMELIE is a powerful, modular data-visualization and analysis platform that transforms large-scale text datasets into clear, actionable insights for organizations working with complex political, regulatory, or media content. Built by poltextLAB with advanced Natural Language Processing capabilities, AMELIE enables users to explore model predictions, evaluate classification quality, and interactively filter or visualize data across multiple customizable dashboards—all without requiring coding expertise. With features such as role-based access control, scalable performance for millions of records, and rich visual analytics ranging from sentiment detection to topic modeling and entity recognition, AMELIE provides a robust, secure, and efficient solution for businesses and institutions seeking to unlock value from unstructured text at scale.