Azure PowerBI Screenshots

Sentiment analysis workflow from Azure services to Power BI dashboard

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Azure Language Service Overview

Azure AI Language Service configuration and setup for sentiment analysis

Azure Language Service Overview

Azure Resources Overview

Complete Azure resource group showing all services used in the project

Azure Resources Overview

Language Studio Analysis

Testing sentiment analysis capabilities in Azure Language Studio

Language Studio Analysis

Logic Apps Workflow

Automated workflow for processing tickets and updating sentiment analysis

Logic Apps Workflow

Database Before Processing

Support tickets in Azure SQL Database before sentiment analysis

Database Before Processing

Database After Processing

Updated database with sentiment scores and confidence levels

Database After Processing

Power BI Sentiment Dashboard

Interactive Power BI dashboard with color-coded sentiment visualization

Power BI Sentiment Dashboard

Project Workflow

This project demonstrates a complete end-to-end Azure solution for automated sentiment analysis. Customer support tickets are initially stored in an Azure SQL Database. Every five minutes, Logic Apps automatically triggers the sentiment analysis process, sending ticket content to Azure AI Language Service for processing. The AI service analyzes the text and returns sentiment scores with confidence levels, which are then written back to the original database. Finally, Power BI connects directly to the updated database to create interactive, color-coded dashboards that visualize sentiment trends and help identify customer satisfaction patterns.