Comprehend launches support for tagging with analysis jobs
Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to analyze text documents and identify insights such as sentiment, entities, and topics in text. Today, we are announcing support for tagging with analysis jobs. In order to scale AI/ML within organizations, it is important to tag analysis jobs so that organizations can track jobs and users using the service. Now, a user can add tags during an analysis job creation in Amazon Comprehend. They can subsequently use these tags to charge back costs associated with the job to the appropriate cost center or user, analyze the number of jobs associated with a given project, or keep their AI/ML analyses organized with appropriate access control.
Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to analyze text documents and identify insights such as sentiment, entities, and topics in text. Today, we are announcing support for tagging with analysis jobs. In order to scale AI/ML within organizations, it is important to tag analysis jobs so that organizations can track jobs and users using the service. Now, a user can add tags during an analysis job creation in Amazon Comprehend. They can subsequently use these tags to charge back costs associated with the job to the appropriate cost center or user, analyze the number of jobs associated with a given project, or keep their AI/ML analyses organized with appropriate access control.
The new tagging feature is available in all AWS Regions where Amazon Comprehend is available. To try the new feature, log in to the Amazon Comprehend console for a code-free experience, or download the AWS SDK. You can also learn more about this new feature in the documentation.