- Learning Microsoft Cognitive Services - Third Edition
- Table of Contents
- Learning Microsoft Cognitive Services - Third Edition
- Contributors
- Acknowledgments
- Preface
- 1. Getting Started with Microsoft Cognitive Services
- 2. Analyzing Images to Recognize a Face
- 3. Analyzing Videos
- 4. Letting Applications Understand Commands
- 5. Speaking with Your Application
- 6. Understanding Text
- 7. Building Recommendation Systems for Businesses
- 8. Querying Structured Data in a Natural Way
- Tapping into academic content using the academic API
- Interpreting natural language queries
- Finding academic entities in query expressions
- Calculating the distribution of attributes from academic entities
- Entity attributes
- Creating the backend using the Knowledge Exploration Service
- Defining attributes
- Adding data
- Building the index
- Understanding natural language
- Local hosting and testing
- Going for scale
- Answering FAQs using QnA Maker
- Creating a knowledge base from frequently asked questions
- Training the model
- Publishing the model
- Summary
- 9. Adding Specialized Searches
- 10. Connecting the Pieces
- A. LUIS Entities
- B. License Information
- Index
QnA Maker allows us to use existing frequently asked questions (FAQs) to create a bot that answers these questions. We can generate a knowledge base from existing FAQs, and train a model from it.
To get started, head over to https://qnamaker.ai. Log on or register by clicking Sign in, in the upper-right corner. This will present you with the following screen:
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