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.
Top Stories
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News
03 Dec 2019
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. Continue Reading
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News
03 Dec 2019
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. Continue Reading
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Tip
21 Jan 2019
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
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Feature
27 Sep 2018
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
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Tip
23 Aug 2018
Note these Amazon Lex chatbot integrations, limits
Amazon Lex opens the door for conversational interactions with apps. But, while it's easy to create a chatbot, you must have the right pieces in place to take advantage of Lex. Continue Reading
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Tip
28 Mar 2018
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
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Tip
19 Mar 2018
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