Intelligent Document Processing with AWS AI/ML : A Comprehensive Guide to Building IDP Pipelines with Applications Across Industries / Sonali Sahu.

Format:

Book

Author/Creator:

Sahu, Sonali.

Language:

English

Subjects (All):

Amazon Web Services (Firm).

Machine learning.

Artificial intelligence--Computer programs.

Artificial intelligence.

Physical Description:

1 online resource (246 p.)

Place of Publication:

Birmingham : Packt Publishing, Limited, 2022.

Summary:

The volume of data is exponentially growing in the digital era, and it has become paramount to process this data in an accelerated manner to get value out of it. Most often the data is in raw document format, and being able to process these documents in an accelerated manner is critical to meet the growing business need, but legacy document processing doesnt meet the growing demand. This book is a comprehensive guide, that takes you through AI/ML fundamentals and core concepts required to process any type of document. You will also obtain hands-on experience in popular python libraries to automate document processing.

Contents:

Cover

Title Page

Copyright

Contributors

Table of Contents

Preface

Part 1: Accurate Extraction of Documents and Categorization

Chapter 1: Intelligent Document Processing with AWS AI and ML

Understanding common document processing use cases across industries

Understanding the AWS ML and AI stack

Introducing Intelligent Document Processing pipeline

Data capture

Document classification

Document extraction

Document enrichment

Document post-processing (review and verification)

Consumption

Summary

References

Chapter 2: Document Capture and Categorization

Technical requirements

Signing up for an AWS account

Understanding data capture with Amazon S3

Data store

Data sources

Sensitive document processing

Understanding document classification with the Amazon Comprehend custom classifier

Training a Comprehend custom classification model

Understanding document categorization with computer vision

Chapter 3: Accurate Document Extraction with Amazon Textract

Understanding the challenges in legacy document extraction

Using Amazon Textract for the accurate extraction of different types of documents

Introducing Amazon Textract

Using Amazon Textract for the accurate extraction of specialized documents

Accurate extraction of ID document (driver's license)

ID document (US passport) accurate extraction

Receipt document accurate extraction

Invoice document accurate extraction

Chapter 4: Accurate Extraction with Amazon Comprehend

Using Amazon Comprehend for accurate data extraction

Understanding document extraction

the IDP extraction stage with Amazon Comprehend

Understanding custom entities extraction with Amazon Comprehend

Training an Amazon Comprehend custom entity recognizer

Checking the performance of a trained model

Inference result from the Amazon Comprehend custom entity recognizer

Part 2: Enrichment of Data and Post-Processing of Data

Chapter 5: Document Enrichment in Intelligent Document Processing

Understanding document enrichment

Learning to use Amazon Comprehend Medical for accurate extraction of medical entities

Amazon Comprehend Medical

Learning to use Amazon Comprehend Medical for medical ontology

Chapter 6: Review and Verification of Intelligent Document Processing

Learning post-processing for a completeness check

Post-processing sensitive data

Learning about the document review process with human-in-the-loop

References

Chapter 7: Accurate Extraction, and Health Insights with Amazon HealthLake

Technical requirements

Notes:

Description based upon print version of record.

Introducing Fast Healthcare Interoperability Resources (FHIR)

OCLC-licensed vendor bibliographic record.

ISBN:

9781801810562

1801810567

OCLC:

1347029504