Sentiment Analysis Using Cognitive Services in Power BI - Achieving AI Analytics

Overview

Learn to perform text analytics and sentiment analysis using Cognitive Services in Power BI, enhancing your AI-driven data analysis capabilities.

Syllabus

• Introduction to Sentiment Analysis and Cognitive Services
Overview of sentiment analysis and its applications
Introduction to Microsoft's Cognitive Services
• Introduction to Power BI
Overview of Power BI interface and functionalities
Connecting data sources
• Setting Up Cognitive Services for Sentiment Analysis
Creating and configuring Cognitive Services API on Azure
Understanding API authentication and authorization
• Integrating Cognitive Services with Power BI
Connecting Power BI with Cognitive Services API
Using Power Query to load and transform textual data
• Performing Sentiment Analysis in Power BI
Steps to call Cognitive Services for sentiment analysis
Understanding response data and integrating results
• Visualizing Sentiment Data in Power BI
Building sentiment dashboards
Creating insightful visualizations to depict sentiment trends
• Advanced Text Analytics in Power BI
Language detection and key phrase extraction
Using Cognitive Services for advanced text analytics
• Case Studies and Practical Examples
Real-world applications of sentiment analysis in Power BI
Hands-on projects for practice
• Best Practices and Optimization Techniques
Tips for effective sentiment analysis
Ensuring performance and accuracy in Power BI reports
• Conclusion and Next Steps
Recap of important concepts
Further resources and learning paths in AI analytics

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Subjects

Conference Talks