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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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Natural Language Processing with AWS AI Services

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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
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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 Details

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

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Table of Contents

22 Chapters
Section 1:Introduction to AWS AI NLP Services Chevron down icon Chevron up icon
Chapter 1: NLP in the Business Context and Introduction to AWS AI Services Chevron down icon Chevron up icon
Chapter 2: Introducing Amazon Textract Chevron down icon Chevron up icon
Chapter 3: Introducing Amazon Comprehend Chevron down icon Chevron up icon
Section 2: Using NLP to Accelerate Business Outcomes Chevron down icon Chevron up icon
Chapter 4: Automating Document Processing Workflows Chevron down icon Chevron up icon
Chapter 5: Creating NLP Search Chevron down icon Chevron up icon
Chapter 6: Using NLP to Improve Customer Service Efficiency Chevron down icon Chevron up icon
Chapter 7: Understanding the Voice of Your Customer Analytics Chevron down icon Chevron up icon
Chapter 8: Leveraging NLP to Monetize Your Media Content Chevron down icon Chevron up icon
Chapter 9: Extracting Metadata from Financial Documents Chevron down icon Chevron up icon
Chapter 10: Reducing Localization Costs with Machine Translation Chevron down icon Chevron up icon
Chapter 11: Using Chatbots for Querying Documents Chevron down icon Chevron up icon
Chapter 12: AI and NLP in Healthcare Chevron down icon Chevron up icon
Section 3: Improving NLP Models in Production Chevron down icon Chevron up icon
Chapter 13: Improving the Accuracy of Document Processing Workflows Chevron down icon Chevron up icon
Chapter 14: Auditing Named Entity Recognition Workflows Chevron down icon Chevron up icon
Chapter 15: Classifying Documents and Setting up Human in the Loop for Active Learning Chevron down icon Chevron up icon
Chapter 16: Improving the Accuracy of PDF Batch Processing Chevron down icon Chevron up icon
Chapter 17: Visualizing Insights from Handwritten Content Chevron down icon Chevron up icon
Chapter 18: Building Secure, Reliable, and Efficient NLP Solutions Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

Top Reviews
Rating distribution
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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2 star 0%
1 star 0%
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Hitesh Hinduja Sep 29, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This is one of the books where you would want to read more and more. The author has explained concepts in a simplified way with significant amount of practical demos. It also gives you a strong business sense before starting any chapter and then deep dives into how NLP techniques can be used in AWS to solve the problem. Must read book for all
Amazon Verified review Amazon
JANGWON KIM Dec 05, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
What I like the most about this book is three: easy read to follow, covering how to build end to end solutions, and good explanation about AWS AI services.I'm working on healthcare AI domain, which is a part of what this book help for.
Amazon Verified review Amazon
Wrick T Dec 02, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
A very practical approach to natural language processing and solving business problems.The authors took a very practical, engaging and intuitive approach with examples, tips and well-structured content. Examples clearly outline solutions to practical business problem using AWS services, which is very helpful for the readers. Highly recommended read if you are starting your journey implementing natural language processing in the AWS Cloud.
Amazon Verified review Amazon
Amit Lodh Dec 29, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book is targeted for NLP practitioners looking to use AWS AI services to create solutions for business outcomes. The authors, experienced practitioners themselves, do an outstanding job in taking the reader through the details of AWS AI services for building NLP solutions. The readers will get a lot of value from the details from the AWS console, visual examples and the varied perspectives of building NLP solutions. I especially appreciated the examples of NLP addressing different business needs such as enterprise search solutions, improving customer service efficiency, automating document processing, monetizing media content and data extraction for financial services and healthcare. Authors also cover the production aspects of NLP solutions, such as security, reliability and efficiency. Utilizing the untapped immense value from the unstructured data is going to be critical for realizing value of digital transformation in the area of business model transformation. NLP is going to be key for that. If you are a technical practitioner, you will want to read this book to add value to the business outcome. If you are a business or technical leader, leading the charge of digital transformation in your organization, you should read the book to understand the value NLP and extraction of information from unstructured document in accelerating your business outcome.
Amazon Verified review Amazon
Viral Shah Dec 21, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Anyone who is new to AI/ML space, I would highly recommend to read this book. Both the authors have done fantastic job to explain the concepts in a lucid manner. Book is full of relevant examples which makes every chapter interesting. This book really helps to get up to speed on this newer concepts, and you won't regret reading this book !
Amazon Verified review Amazon
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