AWS Machine Learning Blog

Category: Amazon Comprehend

Deriving conversational insights from invoices with Amazon Textract, Amazon Comprehend, and Amazon Lex

Organizations across industries have a large number of physical documents such as invoices that they need to process. It is difficult to extract information from a scanned document when it contains tables, forms, paragraphs, and check boxes. Organization have been addressing these problems with manual effort or custom code or by using Optical Character Recognition […]

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Developing NER models with Amazon SageMaker Ground Truth and Amazon Comprehend

Named entity recognition (NER) involves sifting through text data to locate noun phrases called named entities and categorizing each with a label, such as person, organization, or brand. For example, in the statement “I recently subscribed to Amazon Prime,” Amazon Prime is the named entity and can be categorized as a brand. Building an accurate […]

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Detecting and visualizing telecom network outages from tweets with Amazon Comprehend

In today’s world, social media has become a place where customers share their experiences with services that they consume. Every telecom provider wants to have the ability to understand their customer pain points as soon as possible and to do this carriers frequently establish a social media team within their NOC (network operation center). This […]

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Amazon Comprehend now supports multi-label custom classification

Amazon Comprehend is a fully managed natural language processing (NLP) service that enables text analytics to extract insights from the content of documents. Amazon Comprehend supports custom classification and enables you to build custom classifiers that are specific to your requirements, without the need for any ML expertise. Previously, custom classification supported multi-class classification, which is […]

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Building a custom classifier using Amazon Comprehend

Amazon Comprehend is a natural language processing (NLP) service that uses machine learning (ML) to find insights and relationships in texts. Amazon Comprehend identifies the language of the text; extracts key phrases, places, people, brands, or events; and understands how positive or negative the text is. For more information about everything Amazon Comprehend can do, […]

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Enable smart text analytics using Amazon Elasticsearch Service and Amazon Comprehend

We’re excited to announce an end-to-end solution that leverages natural language processing to analyze and visualize unstructured text in your Amazon Elasticsearch Service domain with Amazon Comprehend in the AWS Cloud. You can deploy this solution in minutes with an AWS CloudFormation template and visualize your data in a Kibana dashboard. Amazon Elasticsearch Service (Amazon ES) […]

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Build a custom entity recognizer using Amazon Comprehend

Amazon Comprehend is a natural language processing service that can extract key phrases, places, names, organizations, events, and even sentiment from unstructured text, and more. Customers usually want to add their own entity types unique to their business, like proprietary part codes or industry-specific terms. In November 2018, enhancements to Amazon Comprehend added the ability to […]

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Analyze content with Amazon Comprehend and Amazon SageMaker notebooks

In today’s connected world, it’s important for companies to monitor social media channels to protect their brand and customer relationships. Companies try to learn about their customers, products, and services through social media, emails, and other communications. Machine learning (ML) models can help address some of these needs. However, the process to build and train […]

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Amazon Comprehend now supports resource tagging for custom models

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 […]

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Amazon Comprehend now support KMS encryption

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 […]

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