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Architecting AI Solutions on Salesforce

You're reading from   Architecting AI Solutions on Salesforce Design powerful and accurate AI-driven state-of-the-art solutions tailor-made for modern business demands

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Product type Paperback
Published in Nov 2021
Publisher Packt
ISBN-13 9781801076012
Length 340 pages
Edition 1st Edition
Concepts
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Author (1):
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Lars Malmqvist Lars Malmqvist
Author Profile Icon Lars Malmqvist
Lars Malmqvist
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Table of Contents (17) Chapters Close

Preface 1. Section 1: Salesforce and AI
2. Chapter 1: AI Solutions on the Salesforce Einstein Platform FREE CHAPTER 3. Section 2: Out-of-the-Box AI Features for Salesforce
4. Chapter 2: Salesforce AI for Sales 5. Chapter 3: Salesforce AI for Service 6. Chapter 4: Salesforce AI for Marketing and Commerce 7. Chapter 5: Salesforce AI for Industry Clouds 8. Section 3: Extending and Building AI Features
9. Chapter 6: Declarative Customization Options 10. Chapter 7: Building AI Features with Einstein Platform Services 11. Chapter 8: Integrating Third-Party AI Services 12. Section 4: Making the Right Decision
13. Chapter 9: A Salesforce AI Decision Guide 14. Chapter 10: Conclusion 15. Assessments 16. Other Books You May Enjoy

Extracting key phrases with Azure Text Analytics

Azure is Microsoft's general platform within which they provide an extensive array of AI services via APIs. In this example, we will be making use of the Text Analytics component, a subcomponent of the wider Cognitive Services offering that contains most of the AI services on offer. This subcomponent contains a range of APIs related to Natural Language Processing (NLP), which can be used for a variety of purposes, some of which overlaps with the offerings from Einstein Platform Services that we examined in Chapter 7, Building AI Features with Einstein Platform Services.

However, for the purpose of this example, we will be using a service that has no such equivalence on the Salesforce platform. This is the Key Phrases API, which extracts key phrases from unstructured text documents. It works by you posting a set of JSON formatted text documents to the API endpoint identified by an index and getting in return a set of key phrases...

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