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Cloud Analytics with Google Cloud Platform

You're reading from   Cloud Analytics with Google Cloud Platform An end-to-end guide to processing and analyzing big data using Google Cloud Platform

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788839686
Length 282 pages
Edition 1st Edition
Concepts
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Author (1):
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Sanket Thodge Sanket Thodge
Author Profile Icon Sanket Thodge
Sanket Thodge
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Table of Contents (11) Chapters Close

Preface 1. Introducing Cloud Analytics FREE CHAPTER 2. Design and Business Considerations 3. GCP 10,000 Feet Above – A High-Level Understanding of GCP 4. Ingestion and Storing – Bring the Data and Capture It 5. Processing and Visualizing – Close Encounter 6. Machine Learning, Deep Learning, and AI on GCP 7. Guidance on Google Cloud Platform Certification 8. Business Use Cases 9. Introduction to AWS and Azure 10. Other Books You May Enjoy

Cloud Natural Language API


The natural language API (NL API) supports various methods to perform analysis and gist generation on text. This API has several methods, such as the following:

  • Sentiment analysis: Emotional text is recognized and measured in numerical values
  • Entity analysis: This highlights popular persons, restaurants, landmarks and so on, measured from highest to lowest in their order of occurrence
  • Syntactic analysis: The structure of sentences or grammar can be tested, and the response is in the form of sentences and tokens
  • Content classification: Analyzes and categories of text content

Each of these methods has its own APIs to perform several operations on the language. The result of the request can be either in plain text or in HTML format. Here it is also possible to perform all kinds of operation on a single instance on any language.

The architecture of the NLP API is illustrated in the following figure:

 

As you can see from the preceding figure, given an input sentence, the API...

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