Auto-classification, Content Enrichment, ML and NLP

Use custom metadata created by Amazon Comprehend to intelligently process insurance claims using Amazon Kendra

AWS Machine Learning Blog

DECEMBER 5, 2023

Customers can create the custom metadata using Amazon Comprehend , a natural-language processing (NLP) service managed by AWS to extract insights about the content of documents, and ingest it into Amazon Kendra along with their data into the index. Custom classification is a two-step process.

Metadata

Metadata Auto-classification Auto-complete Content Enrichment

Build well-architected IDP solutions with a custom lens – Part 1: Operational excellence

AWS Machine Learning Blog

NOVEMBER 22, 2023

An IDP pipeline usually combines optical character recognition (OCR) and natural language processing (NLP) to read and understand a document and extract specific terms or words. Common stages include data capture, document classification, document text extraction, content enrichment, document review and validation , and data consumption.

IDP

IDP Data Extraction Automation ML

Artificial Intelligence Zone

Use custom metadata created by Amazon Comprehend to intelligently process insurance claims using Amazon Kendra

Build well-architected IDP solutions with a custom lens – Part 1: Operational excellence

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