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Serverless computing in Azure with .NET

You're reading from  Serverless computing in Azure with .NET

Product type Book
Published in Aug 2017
Publisher Packt
ISBN-13 9781787288393
Pages 468 pages
Edition 1st Edition
Languages

Table of Contents (23) Chapters

Title Page
Credits
Foreword
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
1. Understanding Serverless Architecture 2. Getting Started with the Azure Environment 3. Setting Up the Development Environment 4. Configuring Endpoints, Triggers, Bindings, and Scheduling 5. Integrations and Dependencies 6. Integrating Azure Functions with Cognitive Services API 7. Debugging Your Azure Functions 8. Testing Your Azure Functions 9. Configuring Continuous Delivery 10. Securing Your Application 11. Monitoring Your Application 12. Designing for High Availability, Disaster Recovery, and Scale 13. Designing Cost-Effective Services 14. C# Script-Based Functions 15. Azure Compute On-Demand Options

Using Microsoft Cognitive Services APIs to analyze text


Microsoft Cognitive Services provide over a dozen different APIs for working with text, speech, images, videos, and more. Those APIs offer insights such as emotion recognition or speech intent recognition. Cognitive Services leverage Machine Learning and the wide range of knowledge gained by Microsoft while developing products such as Office and Bing. Cognitive Services APIs aim to arm developers with insights from enterprise-grade artificial intelligence tools by using a few simple lines of code. The complete list of currently available APIs is available at https://www.microsoft.com/cognitive-services/en-us/apis.

In this book, we will leverage one of the Microsoft Cognitive Services APIs, the text sentiment Analytics API. This API allows a user to submit text, and provides a sentiment score of the text in the 0 to 1 range, with 0 being the most negative and 1 being the most positive possible score.

As an example, the sentence "The crowd...

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