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

Build real-world artificial intelligence applications across industries with the help of intelligent document processing Key Features Tackle common document processing problems to extract value from any type of document Unlock deeper levels of insights on IDP in a more structured and accelerated way...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Sahu, Sonali
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham : Packt Publishing, Limited, 2022.
Temas:
Amazon Web Services (Firm)
Machine learning.
Artificial intelligence > Computer programs.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • 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
  • Summary
  • Chapter 3: Accurate Document Extraction with Amazon Textract
  • Technical requirements
  • 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
  • Summary
  • Chapter 4: Accurate Extraction with Amazon Comprehend
  • Technical requirements
  • 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
  • Summary
  • Part 2: Enrichment of Data and Post-Processing of Data
  • Chapter 5: Document Enrichment in Intelligent Document Processing
  • Technical requirements
  • 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
  • Summary
  • Chapter 6: Review and Verification of Intelligent Document Processing
  • Technical requirements
  • Learning post-processing for a completeness check
  • Post-processing sensitive data
  • Learning about the document review process with human-in-the-loop
  • Summary
  • References
  • Chapter 7: Accurate Extraction, and Health Insights with Amazon HealthLake
  • Technical requirements

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