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Intelligent document processing with AWS AI services: Part 2

AWS Machine Learning

Because of the varied formats, most firms manually process documents such as W2s, claims, ID documents, invoices, and legal contracts, or use legacy OCR (optical character recognition) solutions that are time-consuming, error-prone, and costly. The following figure shows the stages that are typically part of an IDP workflow.

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Identify key insights from text documents through fine-tuning and HPO with Amazon SageMaker JumpStart

AWS Machine Learning

Organizations across industries such as retail, banking, finance, healthcare, manufacturing, and lending often have to deal with vast amounts of unstructured text documents coming from various sources, such as news, blogs, product reviews, customer support channels, and social media. Extract and analyze data from documents.

Scripts 73
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Amazon SageMaker JumpStart now offers Amazon Comprehend notebooks for custom classification and custom entity detection

AWS Machine Learning

Amazon Comprehend is a natural language processing (NLP) service that uses machine learning (ML) to discover insights from text. We recently added Amazon Comprehend related notebooks in Amazon SageMaker JumpStart notebooks that can help you quickly get started using the Amazon Comprehend custom classifier and custom entity recognizer.

APIs 76
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Simplify continuous learning of Amazon Comprehend custom models using Comprehend flywheel

AWS Machine Learning

Amazon Comprehend is a managed AI service that uses natural language processing (NLP) with ready-made intelligence to extract insights about the content of documents. It develops insights by recognizing the entities, key phrases, language, sentiments, and other common elements in a document.

APIs 69
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Build taxonomy-based contextual targeting using AWS Media Intelligence and Hugging Face BERT

AWS Machine Learning

Monetizing media while respecting privacy regulations requires the ability to automatically extract granular metadata from assets like text, images, video, and audio files at internet scale. Although we apply this solution to contextual advertising, you can use it to solve other use cases. Solution overview.

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How text analytics delivers customer experience value

Eptica

Date: Wednesday, August 30, 2017 How text analytics delivers customer experience value. In my previous series of blogs I explained the basic AI terms , including bots and chatbots , and the impact they have on CX, and now I want to turn my attention to text analytics. How does it work and how do you benefit from it?

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What Is Knowledge Engineering and Why Do I Need It for Chatbot Development?

Aspect

By now, most organizations are realizing that chatbots are something that will be used by customers and employees to interact with the enterprise – whether through voice interfaces including bots like Siri and Alexa or through chat mechanisms like Facebook messenger, slack or skype. But what powers these bots?