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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

Product type Paperback

Published in Oct 2022

Publisher Packt

ISBN-13 9781801810562

Length 246 pages

Edition 1st Edition

Languages

Processing

Tools

AWS

Concepts

Data Science

Author (1):

Sonali Sahu

View More author details

Table of Contents (16) Chapters

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

Why subscribe?

15. Other Books You May Enjoy

Part 1: Accurate Extraction of Documents and Categorization

In the first part, we will start with a brief introduction to Intelligent Document Processing (IDP) with AWS AI and ML, and then you will learn about accurate custom classification in the IDP pipeline. Next, you will learn about accurate data capture and data extraction in the IDP pipeline. Finally, the focus will be on Amazon Comprehend entities and the custom entities feature to leverage during the enrichment stage of the IDP pipeline.

This section comprises the following chapters:

Chapter 1, Intelligent Document Processing with AWS AI and ML
Chapter 2, Document Capture and Categorization
Chapter 3, Accurate Document Extraction with Amazon Textract
Chapter 4, Accurate Extraction with Amazon Comprehend

The rest of the chapter is locked

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Authors (1)

Sonali Sahu

Sonali Sahu

Sonali Sahu is leading Intelligent Document Processing AI/ML Solutions Architect team at Amazon Web Services. She is a passionate technophile and enjoys working with customers to solve complex problems using innovation. Her core area of focus is Artificial Intelligence and Machine Learning. She has both breadth and depth in technology with industry expertise in Healthcare and Insurance.

See other products by Sonali Sahu

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