- 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
