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Learning Microsoft Cognitive Services

You're reading from   Learning Microsoft Cognitive Services Leverage Machine Learning APIs to build smart applications

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Product type Paperback
Published in Oct 2017
Publisher Packt
ISBN-13 9781788623025
Length 368 pages
Edition 2nd Edition
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Author (1):
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Leif Larsen Henning Larsen Leif Larsen Henning Larsen
Author Profile Icon Leif Larsen Henning Larsen
Leif Larsen Henning Larsen
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Table of Contents (13) Chapters Close

Preface 1. Getting Started with Microsoft Cognitive Services 2. Analyzing Images to Recognize a Face FREE CHAPTER 3. Analyzing Videos 4. Letting Applications Understand Commands 5. Speaking with Your Application 6. Understanding Text 7. Extending Knowledge Based on Context 8. Querying Structured Data in a Natural Way 9. Adding Specialized Searches 10. Connecting the Pieces 11. LUIS Entities and Additional Information on Linguistic Analysis 12. License Information

Linking entities based on context


Using the Entity Linking API, we can link entities in text based on the context. Doing so means that we can separate the meaning of a word, based on the usage in the given text. A word, such as times, may mean the newspaper The New York Times. The same word can also be used in a place name, Times Square. The context decides which of the two entities times represents. The API detects entities within given text, and relates all entities to a Wikipedia entry.

We are going to add entity-linking capabilities to our smart-house application. For now, we will just add a text field input, but in later chapters we will see how it can be utilized.

In Visual Studio, add the Microsoft.ProjectOxford.EntityLinking NuGet package to the project. This contains the client library required to use the API.

Add a new file, the EntityLinking.cs file, to the Model folder. Beneath the class, EntityLinking, add a new class called EntityLinkingErrorEventArgs. This will allow us to raise...

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