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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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Toc

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

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

A

accurate extraction of semi-structured document types, Amazon Textract

JSON API response 54

accurate extraction of structured document types, Amazon Textract

JSON API response 56

accurate extraction of unstructured document types, Amazon Textract

JSON API response 52

AI stack 5-9

Amazon Augmented AI (Amazon A2I)

about 128

for human review process 128-130

Amazon Comprehend

IDP extraction stage 73-76

PII detection, on AWS Console 115-117

using, for accurate data extraction 67-73

using, for custom entities extraction 77, 78

using, for extraction 208-210

Amazon Comprehend custom classifier

using, for document classification 29, 30

Amazon Comprehend custom entity recognizer

inference result 82-84

trained model performance, checking 81

training...

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