Text Analysis and Data Enrichment with Azure Language

Unstructured text data holds valuable insights, but processing it at scale can be incredibly challenging. Using cloud-based Natural Language Processing (NLP) allows you to automatically analyze, categorize, and enrich your data to power smarter search and analytics. This text-only course guides you through the foundational concepts of Azure Language, enabling you to integrate powerful NLP capabilities into your data workflows. You will transition from understanding basic text processing to implementing features like entity recognition, sentiment analysis, and key phrase extraction, transforming raw text into structured, searchable intelligence. What you will learn: Understand foundational NLP concepts and cloud-based text processing architecture; Extract key phrases, entities, and personally identifiable information from unstructured documents; Analyze sentiment and opinion mining to gauge customer feedback automatically; Configure custom text classification models to categorize your unique datasets; Integrate Azure Language capabilities with modern cloud search solutions for enhanced query relevance; Apply best practices for data privacy, security, and ethical AI in text analysis. The course begins with core terminology and setup basics before moving into practical, step-by-step written tutorials on specific NLP features. You will work through structured examples and conceptual reading designed to build your confidence in cloud data enrichment. This course is designed for beginner data analysts, cloud enthusiasts, and developers who want to learn text analytics without any prior machine learning experience. Start reading today to unlock the hidden value in your unstructured text data.