AWS natural language processing

AWS natural language processing tools can help your applications more effectively interact with written or spoken human language. Discover ways to create more interactive apps with these AWS technologies.

December 03, 2019 03 Dec'19
SageMaker Studio makes model building, monitoring easier

New SageMaker tools from AWS to open up machine learning models by making it easier for non-expert developers make, run, monitor and debug machine learning models.
December 03, 2019 03 Dec'19
New Amazon Kendra AI search tool indexes enterprise data

With Kendra, a new cognitive search tool from Amazon, enterprise users can more easily query their data. The tool uses machine learning and NLP to understand context, according to AWS.

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natural language processing (NLP)

Natural language processing (NLP) is the ability of a computer program to understand human language as it is spoken and written -- referred to as natural language. Continue Reading
Amazon Comprehend

Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to analyze and find relationships in text. Continue Reading
For AI on AWS, it all starts with experimentation

For enterprises, the term artificial intelligence comes with a lot of baggage. Start from scratch with these expert tips to get your Amazon AI project off the ground. Continue Reading

Weigh the pros and cons of technologies, products and projects you are considering.

Get started with natural language processing APIs in cloud

As the cloud makes AI technology increasingly accessible to enterprises, more developers look to incorporate natural language processing into their apps. Continue Reading
How Amazon Transcribe opens the door for speech recognition

Amazon's audio transcription service, Transcribe, has caught developers' eyes for a number of reasons, but make sure its early limitations don't land you in trouble. Continue Reading
How Amazon Comprehend works for basic text analysis

Amazon's text analysis service, Comprehend, parses documents for key phrases, sentiment and more. But there are volume and input limitations to mind. Continue Reading