Author: Nino Bice

Amazon Comprehend customers are solving a variety of use cases with custom classification and entity type models. For example, customers are building classifiers to organize their daily customer feedback into categories like “loyalty,” “sales,” or “product defect.” Custom entity models enable customers to analyze text for their own terms and phrases, such as product IDs […]

Amazon Comprehend is a fully managed natural language processing (NLP) service that enables text analytics for important workloads. For example, analyzing market research reports for key market indicators or data that contains PII information. Customers that work with highly sensitive, encrypted data can now easily enable Comprehend to work with this encrypted data via an integration […]

Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text. We released an update to Amazon Comprehend enabling support for private, custom entity types. Customers can now train state-of-the-art entity recognition models to extract their specific terms, completely automatically. No machine learning experience required. For example, financial […]