Book Image

Learning Microsoft Cognitive Services - Third Edition

By : Leif Larsen
Book Image

Learning Microsoft Cognitive Services - Third Edition

By: Leif Larsen

Overview of this book

Microsoft Cognitive Services is a set of APIs for integrating artificial intelligence in your applications to solve logical business problems. If you’re new to developing applications with AI, Learning Microsoft Cognitive Services will give you a comprehensive introduction to Microsoft’s AI stack and get you up-to-speed in no time. The book introduces you to 24 APIs, including Emotion, Language, Vision, Speech, Knowledge, and Search. Using Visual Studio, you can develop applications with enhanced capabilities for image processing, speech recognition, text processing, and much more. Moving forward, you will work with datasets that enable your applications to process various data in the form of image, video, or text. By the end of the book, you’ll be able to confidently explore Cognitive Services APIs for building intelligent applications that can be deployed for real-world business uses.
Table of Contents (17 chapters)
Learning Microsoft Cognitive Services - Third Edition
Contributors
Acknowledgments
Preface
Index

Interpreting natural language queries


The query expressions that the API uses to evaluate a query are not in a natural language format. To ensure that users can make queries in a natural way, we need to interpret their input.

When calling the Interpret feature of the API, it accepts a query string. This will be returned and formatted to reflect the user intent using academic grammar. In addition, this feature can be called as the user is writing, to provide an interactive experience.

The request is a GET request, as shown in the following code:

    private async void Interpret(object obj)
    {
        var queryString = HttpUtility.ParseQueryString(string.Empty);

        queryString["query"] = InputQuery;
        queryString["complete"] = "1";
        //queryString["count"] = "10";
        //queryString["offset"] = "0";
        //queryString["timeout"] = "1000";
        //queryString["model"] = "latest";

We start the call by creating a queryString variable. The parameters we can input are specified...