Book Image

Cloud Analytics with Google Cloud Platform

By : Sanket Thodge
Book Image

Cloud Analytics with Google Cloud Platform

By: Sanket Thodge

Overview of this book

With the ongoing data explosion, more and more organizations all over the world are slowly migrating their infrastructure to the cloud. These cloud platforms also provide their distinct analytics services to help you get faster insights from your data. This book will give you an introduction to the concept of analytics on the cloud, and the different cloud services popularly used for processing and analyzing data. If you’re planning to adopt the cloud analytics model for your business, this book will help you understand the design and business considerations to be kept in mind, and choose the best tools and alternatives for analytics, based on your requirements. The chapters in this book will take you through the 70+ services available in Google Cloud Platform and their implementation for practical purposes. From ingestion to processing your data, this book contains best practices on building an end-to-end analytics pipeline on the cloud by leveraging popular concepts such as machine learning and deep learning. By the end of this book, you will have a better understanding of cloud analytics as a concept as well as a practical know-how of its implementation
Table of Contents (16 chapters)
Title Page
Packt Upsell
Foreword
Contributors
Preface
Index

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...