Summary
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This module explains how AI applications and agents can interpret written information through text analysis powered by natural language processing (NLP). It introduces key language capabilities—such as sentiment analysis, key phrase extraction, entity recognition, and summarization—and shows how these tasks help systems understand and derive insights from unstructured text.
Throughout the module, you explored how to integrate Azure Language directly into your own applications using the Azure Language SDK, enabling programmatic access to these text analysis features. You also learned how to extend AI agents with Azure Language capabilities by connecting them to the Azure Language MCP server, allowing agents to perform language tasks as part of their automated workflows.
Use the links below to learn more: