AWS Machine Learning Blog

Category: Amazon Comprehend

Fine-tune transformer language models for linguistic diversity with Hugging Face on Amazon SageMaker

Approximately 7,000 languages are in use today. Despite attempts in the late 19th century to invent constructed languages such as Volapük or Esperanto, there is no sign of unification. People still choose to create new languages (think about your favorite movie character who speaks Klingon, Dothraki, or Elvish). Today, natural language processing (NLP) examples are […]

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Build a custom entity recognizer for PDF documents using Amazon Comprehend

In many industries, it’s critical to extract custom entities from documents in a timely manner. This can be challenging. Insurance claims, for example, often contain dozens of important attributes (such as dates, names, locations, and reports) sprinkled across lengthy and dense documents. Manually scanning and extracting such information can be error-prone and time-consuming. Rule-based software […]

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Automate email responses using Amazon Comprehend custom classification and entity detection

In this post, we demonstrate how to create an automated email response solution using Amazon Comprehend. Organizations spend lots of resources, effort, and money on running their customer care operations to answer customer questions and provide solutions. Your customers may ask questions via various channels, such as email, chat, or phone, and deploying a workforce […]

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Extract granular sentiment in text with Amazon Comprehend Targeted Sentiment

Amazon Comprehend is a natural language processing (NLP) service that uses machine learning (ML) to discover insights from text. As a fully managed service, Amazon Comprehend requires no ML expertise and can scale to large volumes of data. Amazon Comprehend provides several different APIs to easily integrate NLP into your applications. You can simply call […]

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Extract entities from insurance documents using Amazon Comprehend named entity recognition

Intelligent document processing (IDP) is a common use case for customers on AWS. You can utilize Amazon Comprehend and Amazon Textract for a variety of use cases ranging from document extraction, data classification, and entity extraction. One specific industry that uses IDP is insurance. They use IDP to automate data extraction for common use cases such as claims intake, […]

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Announcing the launch of the model copy feature for Amazon Comprehend custom models

Technology trends and advancements in digital media in the past decade or so have resulted in the proliferation of text-based data. The potential benefits of mining this text to derive insights, both tactical and strategic, is enormous. This is called natural language processing (NLP). You can use NLP, for example, to analyze your product reviews […]

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Live call analytics and agent assist for your contact center with Amazon language AI services

Update September 2022 (v0.5.0) – New AgentID call attribute and associated API support for setting, displaying, sorting, and filtering calls by Agent. New configurable retention period for call records. New support for custom logic via a user provided Lambda function to selectively choose which calls to process, toggle agent/caller streams, assign AgentId to call, and/or […]

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Post call analytics for your contact center with Amazon language AI services

This blog post was last reviewed and updated March, 2022. Added support for Transcribe Call Analytics call summarization. See New features. Your contact center connects your business to your community, enabling customers to order products, callers to request support, clients to make appointments, and much more. Each conversation with a caller is an opportunity to […]

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Generate high-quality meeting notes using Amazon Transcribe and Amazon Comprehend

Organizations are continuing to evaluate remote working arrangements and explore moving to a hybrid workforce model. Emerging trends suggest that not only has the number of online meetings attended by employees on a day-to-day basis increased, but also the number of attendees per meeting. One of the key challenges with online meetings is ensuring efficient […]

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Augment search with metadata by chaining Amazon Textract, Amazon Comprehend, and Amazon Kendra

Amazon Kendra is an intelligent search service powered by machine learning (ML). Amazon Kendra reimagines enterprise search for your websites and applications so your employees and customers can easily find the content they’re looking for, even when it’s scattered across multiple locations and content repositories within your organization. With Amazon Kendra, you can stop searching […]

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