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Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.

DeepInsights Named Entity Recognizer

By: Mphasis Latest Version: 3.0

Product Overview

Mphasis DeepInsights Named Entity Recognizer is an efficient way of identifying named entities present in the corpus of text. This solution applies NLP techniques to extract the named entities which can be used for further text analytics and for providing useful insights about the text. The model takes a corpus of text as input file, processes it and provides a CSV file containing all the named entities present in the text as output.

Key Data

By Mphasis
Type Model Package
Fulfillment Methods Amazon SageMaker

Usage Information

Support Information

DeepInsights Named Entity Recognizer

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Refund Policy

Currently we do not support refunds, but you can cancel your subscription to the service at any time.

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