Category: Amazon Comprehend

With Amazon Comprehend, you can extract insights from text without being a machine learning expert. Using its built-in models, Comprehend can analyze the syntax of your input documents and find entities, events, key phrases, personally identifiable information (PII), and the overall sentiment or sentiments associated with specific entities (such as brands or products). Today, we […]

Today we are announcing a new Amazon Comprehend feature for intelligent document processing (IDP). This feature allows you to classify and extract entities from PDF documents, Microsoft Word files, and images directly from Amazon Comprehend without you needing to extract the text first. Many customers need to process documents that have a semi-structured format, like […]

Whether your organization is a multinational enterprise present in many countries, or a small startup hungry for global success, translating your content to local languages may be an enduring challenge. Indeed, text data often comes in many formats, and processing them may require several different tools. Also, as all these tools may not support the […]

Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights in unstructured text. It is very easy to use, with no machine learning experience required. You can customize Comprehend for your specific use case, for example creating custom document classifiers to organize your documents into your own categories, or custom […]

March 23, 2020: Post updated to clarify networking, IAM permissions, and database configurations required to use machine learning from Aurora databases. A new notebook using SageMaker Autopilot gives a complete example, from the set up of the model to the creation of the SQL function using the endpoint. The integrations described in this post are now available for MySQL and […]

Launched at AWS re:Invent 2018, Amazon Comprehend Medical is a HIPAA-eligible natural language processing service that makes it easy to use machine learning to extract relevant medical information from unstructured text. For example, customers like Roche Diagnostics and The Fred Hutchinson Cancer Research Center can quickly and accurately extract information, such as medical condition, medication, […]

As the son of a Gastroenterologist and a Dermatologist, I grew up listening to arcane conversations involving a never-ending stream of complex medical terms: human anatomy, surgical procedures, medication names… and their abbreviations. A fascinating experience for a curious child wondering whether his parents were wizards of some sort and what all this gibberish meant. […]

Amazon Comprehend gives you the power to process natural-language text at scale (read my introductory post, Amazon Comprehend – Continuously Trained Natural Language Processing, to learn more). After launching late 2017 with support for English and Spanish, we have added customer-driven features including Asynchronous Batch Operations, Syntax Analysis, support for additional languages (French, German, Italian, […]