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Amazon Sagemaker

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.

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DeepInsights Named Entity Recognizer

Latest Version:
3.0
This solution helps in processing textual data to identify named entities present in the corpus of text.

    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

    Type
    Model Package
    Fulfillment Methods
    Amazon SageMaker

    Highlights

    • Mphasis DeepInsights Named Entity Recognizer is a Natural Language Processing based solution for extracting named entities such as person, organization, geopolitical entities and various others present in the text data. This solution enables business users to analyse large volume of unstructured text and identifying named entities to build better search solutions, provide content recommendations, provide better customer support, SEO, virtual assistant etc.

    • The model can take a maximum of 350kb ( ~ 2500 rows of text) as input and extract named entities present in the text.

    • Mphasis DeepInsights is a cloud-based cognitive computing platform that offers data extraction & predictive analytics capabilities. Need Customized Deep learning and Machine Learning Solutions? Get in Touch!

    Not quite sure what you’re looking for? AWS Marketplace can help you find the right solution for your use case. Contact us

    Pricing Information

    Use this tool to estimate the software and infrastructure costs based your configuration choices. Your usage and costs might be different from this estimate. They will be reflected on your monthly AWS billing reports.

    Contact us to request contract pricing for this product.


    Estimating your costs

    Choose your region and launch option to see the pricing details. Then, modify the estimated price by choosing different instance types.

    Version
    Region

    Software Pricing

    Model Realtime Inference$5.00/hr

    running on ml.m5.large

    Model Batch Transform$10.00/hr

    running on ml.m5.large

    Infrastructure Pricing

    With Amazon SageMaker, you pay only for what you use. Training and inference is billed by the second, with no minimum fees and no upfront commitments. Pricing within Amazon SageMaker is broken down by on-demand ML instances, ML storage, and fees for data processing in notebooks and inference instances.
    Learn more about SageMaker pricing

    SageMaker Realtime Inference$0.115/host/hr

    running on ml.m5.large

    SageMaker Batch Transform$0.115/host/hr

    running on ml.m5.large

    Model Realtime Inference

    For model deployment as Real-time endpoint in Amazon SageMaker, the software is priced based on hourly pricing that can vary by instance type. Additional infrastructure cost, taxes or fees may apply.
    InstanceType
    Realtime Inference/hr
    ml.m4.4xlarge
    $5.00
    ml.m5.4xlarge
    $5.00
    ml.m5.12xlarge
    $5.00
    ml.m5d.24xlarge
    $5.00
    ml.m5d.4xlarge
    $5.00
    ml.m4.16xlarge
    $5.00
    ml.m5.2xlarge
    $5.00
    ml.c5.large
    $5.00
    ml.m5.xlarge
    $5.00
    ml.m4.xlarge
    $5.00
    ml.m4.2xlarge
    $5.00
    ml.m5d.2xlarge
    $5.00
    ml.c5.2xlarge
    $5.00
    ml.m5d.12xlarge
    $5.00
    ml.m5.large
    Vendor Recommended
    $5.00
    ml.t2.xlarge
    $5.00
    ml.m4.10xlarge
    $5.00
    ml.m5.24xlarge
    $5.00
    ml.m5d.xlarge
    $5.00
    ml.m5d.large
    $5.00
    ml.c5.xlarge
    $5.00
    ml.t2.large
    $5.00
    ml.t2.medium
    $5.00
    ml.t2.2xlarge
    $5.00

    Usage Information

    Model input and output details

    Input

    Summary
    • Supported content types: text/csv
    • The input has to be a '.txt' file with 'utf-8' encoding.
    Limitations for input type
    Maximum input file size: 350kb ( ~ 2500 rows of text)
    Input MIME type
    text/csv, text/plain
    Sample input data

    Output

    Summary

    The output of this algorithm will be a csv file cotaining the named entities.

    Output MIME type
    text/csv
    Sample output data

    End User License Agreement

    By subscribing to this product you agree to terms and conditions outlined in the product End user License Agreement (EULA)

    Support Information

    DeepInsights Named Entity Recognizer

    For any assistance reach out to us at:

    AWS Infrastructure

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    Refund Policy

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