Sentiment Analysis in Azure Database for PostgreSQL

Organizations are flooded with unstructured text data, from customer reviews to support tickets, hiding valuable business insights. This course guides you through connecting your database to cloud AI capabilities to classify sentiment and mine opinions directly within your SQL workflows. What you'll learn: Learn the core concepts of sentiment analysis, opinion mining, and natural language processing. Configure Azure Database for PostgreSQL to securely communicate with external AI services. Apply SQL functions to analyze customer feedback and extract key phrases from text. Store and query sentiment scores efficiently using modern database schema designs. Practice writing queries that combine relational data with AI-generated text insights. Explore modern database patterns, including basic vector extensions for semantic search. You will start with fundamental database and AI terminology before moving on to practical integration steps, query writing, and optimization techniques. This text-based course is designed for beginners, database administrators, and developers looking to add intelligent text analysis to their SQL toolkit, with no prior machine learning experience required. Start reading to unlock the hidden sentiments within your relational data.