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Natural Language Processing with AWS AI Services
Natural Language Processing with AWS AI Services

Natural Language Processing with AWS AI Services: Derive strategic insights from unstructured data with Amazon Textract and Amazon Comprehend

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Profile Icon M Profile Icon Premkumar Rangarajan
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$12.99 per month
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (21 Ratings)
Paperback Nov 2021 508 pages 1st Edition
eBook
$43.99
Paperback
$54.99
Subscription
Free Trial
Renews at $12.99p/m
Arrow left icon
Profile Icon M Profile Icon Premkumar Rangarajan
Arrow right icon
$12.99 per month
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (21 Ratings)
Paperback Nov 2021 508 pages 1st Edition
eBook
$43.99
Paperback
$54.99
Subscription
Free Trial
Renews at $12.99p/m
eBook
$43.99
Paperback
$54.99
Subscription
Free Trial
Renews at $12.99p/m

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Key benefits

  • Get to grips with AWS AI services for NLP and find out how to use them to gain strategic insights
  • Run Python code to use Amazon Textract and Amazon Comprehend to accelerate business outcomes
  • Understand how you can integrate human-in-the-loop for custom NLP use cases with Amazon A2I

Description

Natural language processing (NLP) uses machine learning to extract information from unstructured data. This book will help you to move quickly from business questions to high-performance models in production. To start with, you'll understand the importance of NLP in today’s business applications and learn the features of Amazon Comprehend and Amazon Textract to build NLP models using Python and Jupyter Notebooks. The book then shows you how to integrate AI in applications for accelerating business outcomes with just a few lines of code. Throughout the book, you'll cover use cases such as smart text search, setting up compliance and controls when processing confidential documents, real-time text analytics, and much more to understand various NLP scenarios. You'll deploy and monitor scalable NLP models in production for real-time and batch requirements. As you advance, you'll explore strategies for including humans in the loop for different purposes in a document processing workflow. Moreover, you'll learn best practices for auto-scaling your NLP inference for enterprise traffic. Whether you're new to ML or an experienced practitioner, by the end of this NLP book, you'll have the confidence to use AWS AI services to build powerful NLP applications.

Who is this book for?

If you're an NLP developer or data scientist looking to get started with AWS AI services to implement various NLP scenarios quickly, this book is for you. It will show you how easy it is to integrate AI in applications with just a few lines of code. A basic understanding of machine learning (ML) concepts is necessary to understand the concepts covered. Experience with Jupyter notebooks and Python will be helpful.

What you will learn

  • Automate various NLP workflows on AWS to accelerate business outcomes
  • Use Amazon Textract for text, tables, and handwriting recognition from images and PDF files
  • Gain insights from unstructured text in the form of sentiment analysis, topic modeling, and more using Amazon Comprehend
  • Set up end-to-end document processing pipelines to understand the role of humans in the loop
  • Develop NLP-based intelligent search solutions with just a few lines of code
  • Create both real-time and batch document processing pipelines using Python

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Nov 26, 2021
Length: 508 pages
Edition : 1st
Language : English
ISBN-13 : 9781801812535
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Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
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Product Details

Publication date : Nov 26, 2021
Length: 508 pages
Edition : 1st
Language : English
ISBN-13 : 9781801812535
Category :
Languages :

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Frequently bought together


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Full star icon Full star icon Full star icon Full star icon Full star icon 5
(21 Ratings)
5 star 95.2%
4 star 4.8%
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Sreyoshi Aug 29, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
s an engineering educator here are top 3 things about the book that I believe will appeal to both students and NLP enthusiasts alike:💡Do-it-yourself code samples and instructions that allow the readers to familiarize themselves with #AWS environments.💡GitHub repository links that readers can clone notebooks from, allowing access to a cartload of sample datasets and AI applications.💡Links to useful reads beyond the book which can allow readers to take this as a starting point to furtherbuild upon.This textbook doesn’t claim to be an end-all guide to Natural Language Processing - which is not just a mammoth undertaking, but likely an improbable one. For example, while the authors introduce NLP origins and applications there is little on ethical implications of such tasks. Which is expected given the scope of the book. We also know that there are whole books, conferences and podcasts dedicated to just those topics, and it’s imperative to find more and more of those!.✨so why THIS book?✨What this text does a great job with is introduce the Amazon Web Services environment for #NLP applications in an engaging way..📖In a gist?This book is a comprehensive guide to getting started with Natural Language Processing on the AWS environment. It’s great for those interested in starting out with building this skill and using AWS as they do so.
Amazon Verified review Amazon
Emma G Feb 14, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book clearly and simply describes the applications of NLP to a business context and how value can be derived from unstructured data. The authors take the reader on a journey through the complexities of AI and solve them succinctly with AWS services. Simple yet real examples make this book easily understandable for all skill levels, with step by step guides to allow readers with active projects the ability to action AWS services and create solutions today.
Amazon Verified review Amazon
Harshil Dec 16, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I received the digital copy of this book before its release. The content is amazing and would definitely recommend for any one who is starting off their AI journey on AWS.
Amazon Verified review Amazon
Chethan Nov 26, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
The book is an easy read and highly recommended for AWS Developers and AI practitioners looking to add NLP capability into their business applications.The book does a great job of balancing content between explaining the AWS AI services on its own and providing an approach for building end to end solution workflows using those services to deliver business value.The book covers a lot of domains (Finance,Healthcare,Media etc) and AWS AI services, each of the section is very well structured and self-contained, which can be used as standalone reference for your specific scenarios.I really liked the third section which contains a lot of useful tips for improving accuracy and productionizing AI solutions beyond proof of concepts. The included notebooks and links to video snippets are succinct and help understand the concepts well.
Amazon Verified review Amazon
Victor Rojo Dec 06, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book will become your primary reference for using AWS AI services. I like it is full of examples and sample architectures and the way it helps you get your "hands dirty" to understand better how the services work individually and together.With a pragmatic approach and step-by-step instructions, you will unleash the benefits of NLP to solve different use cases and problems that need lots of effort to build and maintain. The references provided in the further reading sections of each chapter are also helpful to go beyond the book content.Kudos to Mona and Premkumar for this fantastic book!
Amazon Verified review Amazon
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