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Natural Language Understanding with LUIS
Last updated: Sunday, October 5, 2025
Published in: CODE Magazine: 2018 - September/October
Sahil Malik’s article explains how Natural Language Understanding with Microsoft LUIS lets developers convert free-form user input into actionable intents and entities, using domain-focused models that can be trained, tested, and refined through iterative utterances and patterns. He illustrates both browser-based and programmatic workflows—creating, training, and publishing LUIS apps via REST APIs, integrating with applications, and securing calls. Through step-by-step examples (creating apps, adding intents/entities, supplying utterances, and consuming results), Malik demonstrates how to automate and scale natural-language capabilities in software, highlighting cognitive services’ power and practical integration considerations.