Book Image

Learning Microsoft Cognitive Services - Second Edition

By : Leif Larsen
Book Image

Learning Microsoft Cognitive Services - Second Edition

By: Leif Larsen

Overview of this book

Microsoft has revamped its Project Oxford to launch the all new Cognitive Services platform-a set of 30 APIs to add speech, vision, language, and knowledge capabilities to apps. This book will introduce you to 24 of the APIs released as part of Cognitive Services platform and show you how to leverage their capabilities. More importantly, you'll see how the power of these APIs can be combined to build real-world apps that have cognitive capabilities. The book is split into three sections: computer vision, speech recognition and language processing, and knowledge and search. You will be taken through the vision APIs at first as this is very visual, and not too complex. The next part revolves around speech and language, which are somewhat connected. The last part is about adding real-world intelligence to apps by connecting them to Knowledge and Search APIs. By the end of this book, you will be in a position to understand what Microsoft Cognitive Service can offer and how to use the different APIs.
Table of Contents (19 chapters)
Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Exploring text using linguistic analysis


Using the Linguistic Analysis API, we can explore the structure of text. We can access part-of-speech tagging and parsing, which allows us to tap into important concepts and actions. By using this API, we can understand the structure of a text. This can help us if we are mining customer feedback, interpreting user commands, or consuming web text.

As linguistic analysis is an advanced topic, we will not dive into all its details. Instead, we will go through a quick introduction to key concepts, and then see how we can do the analysis itself. We will not spend time on parsing the resulting data for the UI, so we will simply print the JSON result.

Note

For more information on linguistic analysis and natural language analysis, please refer to the Wikipedia article at https://en.wikipedia.org/wiki/Natural_language_processing.

Introduction to linguistic analysis

At the time of writing, there are currently three available tools in the API. These are as follows...