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Intelligent Document Processing with AWS AI/ML

You're reading from   Intelligent Document Processing with AWS AI/ML A comprehensive guide to building IDP pipelines with applications across industries

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Product type Paperback
Published in Oct 2022
Publisher Packt
ISBN-13 9781801810562
Length 246 pages
Edition 1st Edition
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Author (1):
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Sonali Sahu Sonali Sahu
Author Profile Icon Sonali Sahu
Sonali Sahu
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Table of Contents (16) Chapters Close

Preface 1. Part 1: Accurate Extraction of Documents and Categorization
2. Chapter 1: Intelligent Document Processing with AWS AI and ML FREE CHAPTER 3. Chapter 2: Document Capture and Categorization 4. Chapter 3: Accurate Document Extraction with Amazon Textract 5. Chapter 4: Accurate Extraction with Amazon Comprehend 6. Part 2: Enrichment of Data and Post-Processing of Data
7. Chapter 5: Document Enrichment in Intelligent Document Processing 8. Chapter 6: Review and Verification of Intelligent Document Processing 9. Chapter 7: Accurate Extraction, and Health Insights with Amazon HealthLake 10. Part 3: Intelligent Document Processing in Industry Use Cases
11. Chapter 8: IDP Healthcare Industry Use Cases 12. Chapter 9: Intelligent Document Processing – Insurance Industry 13. Chapter 10: Intelligent Document Processing – Mortgage Processing 14. Index 15. Other Books You May Enjoy

Technical requirements

To do the hands-on labs in the book, you will need access to an AWS account at https://aws.amazon.com/console/. Please refer to the Signing up for an AWS account subsection within the Setting up your AWS environment section for detailed instructions on how you can sign up for an AWS account and sign in to the AWS Management Console. The Python code and sample datasets for the solution discussed in this chapter are available at https://github.com/PacktPublishing/Intelligent-Document-Processing-with-AWS-AI-ML-/tree/main/chapter-2.

Signing up for an AWS account

In this chapter and all the subsequent chapters in which we will run code examples, you will need access to an AWS account. Before getting started, we recommend that you create an AWS account.

Important note

Please use the AWS Free Tier, which enables you to try services free of charge based on certain time limits or service usage limits. For more details, please see https://aws.amazon.com/free...

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