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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

Extracting information through textual analysis


Using the Textual Analytics API, we are able to analyze text. We will cover language detection, key-phrase analysis, and sentiment analysis. In addition, a new feature is the ability to detect topics. This does, however, require a lot of sample text, and as such, we will not go into details on this.

For all our text analysis tasks, we will be using a new View. Add a new View into the View folder, called TextAnalysisView.xaml. This should contain a TextBox element for the input query. It should also have a TextBox element for the result. We will need three Button elements, one for each detection analysis we will perform.

We will also need a new ViewModel, so add TextAnalysisViewModel.cs to the ViewModel folder. In this we need two string properties, one for each TextBox. Also add three ICommand properties, one for each of our buttons.

Note

If you have not already done so, register for an API key at https://portal.azure.com.

Add a private member,...

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