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AmplifyReach Core NLP Reviews & Product Details

AmplifyReach Core NLP Overview

What is AmplifyReach Core NLP?

Build Contextual Intelligence In Your Application! Use core NLP engine with easy REST APIs to extract knowledge from unstructured text. Gain Contextual Intelligence to improve your search, discovery and relevance. please contact us for demo and discuss use cases!

AmplifyReach Core NLP Details
Languages Supported
Arabic, German, English, French, Hindi, Indonesian, Italian, Japanese, Malay, Spanish, Chinese (Simplified)
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Product Description
Named-entity recognition (NER) (also known as entity identification, entity chunking and entity extraction) is a subtask of information extraction that seeks to locate and classify named entities in text into pre-defined categories such as the names of persons, organizations, locations, expressions of times, quantities, monetary values, percentages, etc.

Seller
Description

AmplifyReach is a technology company that specializes in creating AI-powered conversational solutions for businesses looking to enhance customer engagement. They offer a range of products aimed at delivering superior customer experiences through automation and natural language understanding. Their platform facilitates the development and deployment of chatbots and virtual assistants, helping organizations streamline communications and support functions. AmplifyReach serves industries such as banking, e-commerce, and telecommunications, providing tools that integrate with various messaging platforms and CRM systems to improve service efficiency and customer satisfaction.

Overview Provided by:
Conversational AI Automation Platform for Sales, Marketing & Support Teams!

AmplifyReach Core NLP Media

AmplifyReach Core NLP Demo - AR-NLP-01.png
19 Entities: Brands, People, Organizations and more, Brand Safety and IAB Classification across 300+ Categories, Deep Sentiment Analysis, Semantic Relations, Summarization
AmplifyReach Core NLP Demo - AR-CoreNLP-02.gif
Build your Classifiers with no coding required. Test for precision, recall in UI and then integrate in your application!
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