Amazon Comprehend launches real time Custom Entity Recognition
Amazon Comprehend now supports real time Custom Entity Recognition. You can use the real time Custom Entity Recognition to identify terms that are specific to your domain in real time. For example, you can instantly extract product names, financial entities or any term relevant to you from unstructured text documents. Prior to this launch, Custom Entity Recognition identified business-specific entities in text documents asynchronously. Now, customers can choose real time or asynchronous Custom Entity Recognition depending on their use case.
Amazon Comprehend now supports real time Custom Entity Recognition. You can use the real time Custom Entity Recognition to identify terms that are specific to your domain in real time. For example, you can instantly extract product names, financial entities or any term relevant to you from unstructured text documents. Prior to this launch, Custom Entity Recognition identified business-specific entities in text documents asynchronously. Now, customers can choose real time or asynchronous Custom Entity Recognition depending on their use case.
Creating a custom model is simple. Using AutoML, Comprehend will learn from a small private index of examples (for example, a list of policy numbers and text in which they are used), and then train a private, custom model to recognize these terms in any other block of text. No machine learning experience required. For real time Custom Entity Recognition, you can provision an endpoint with capacity that fits your need.
Amazon Comprehend real time Custom Entity Recognition is now 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.