Select your cookie preferences

We use essential cookies and similar tools that are necessary to provide our site and services. We use performance cookies to collect anonymous statistics, so we can understand how customers use our site and make improvements. Essential cookies cannot be deactivated, but you can choose “Customize” or “Decline” to decline performance cookies.

If you agree, AWS and approved third parties will also use cookies to provide useful site features, remember your preferences, and display relevant content, including relevant advertising. To accept or decline all non-essential cookies, choose “Accept” or “Decline.” To make more detailed choices, choose “Customize.”

Sign in
Your Saved List Become a Channel Partner Sell in AWS Marketplace Amazon Web Services Home Help

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.

product logo

Sentiment Analysis Free trial

Latest Version:
2
SageMaker model package for Sentiment Analysis

    Product Overview

    This SageMaker model package provides a REST api to analyze the sentiment of English sentences. The API accepts input as JSON, CSV or plain text, and identifies the sentiment (positive or negative) and provides a confidence level (float number from 0 to 1). We welcome your feedback at aws-support@sigmodata.com

    Key Data

    Version
    Type
    Model Package
    Fulfillment Methods
    Amazon SageMaker

    Highlights

    • State of the art sentiment analysis model.

    • Uses deep learning and neural networks to better interpret complex sentence syntaxes.

    • Very fast and responsive. Send hundreds of sentences at once and get sub-second response times.

    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$0.10/hr

    running on ml.m5.xlarge

    Model Batch Transform$0.10/hr

    running on ml.m5.xlarge

    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$0.23/host/hr

    running on ml.m5.xlarge

    SageMaker Batch Transform$0.23/host/hr

    running on ml.m5.xlarge

    About Free trial

    Try this product for 1 days. There will be no software charges, but AWS infrastructure charges still apply. Free Trials will automatically convert to a paid subscription upon expiration.

    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.m5.large
    $0.10
    ml.m5.xlarge
    Vendor Recommended
    $0.10
    ml.m5.2xlarge
    $0.10
    ml.m5.4xlarge
    $0.10
    ml.m5.12xlarge
    $0.10
    ml.m5.24xlarge
    $0.10
    ml.m4.xlarge
    $0.10
    ml.m4.2xlarge
    $0.10
    ml.m4.4xlarge
    $0.10
    ml.m4.10xlarge
    $0.10
    ml.m4.16xlarge
    $0.10
    ml.c5.xlarge
    $0.10
    ml.c5.2xlarge
    $0.10
    ml.c5.4xlarge
    $0.10
    ml.c5.9xlarge
    $0.10
    ml.c5.18xlarge
    $0.10
    ml.c4.xlarge
    $0.10
    ml.c4.2xlarge
    $0.10
    ml.c4.4xlarge
    $0.10
    ml.c4.8xlarge
    $0.10
    ml.p2.xlarge
    $0.10
    ml.p2.8xlarge
    $0.10
    ml.p2.16xlarge
    $0.10
    ml.p3.2xlarge
    $0.10
    ml.p3.8xlarge
    $0.10
    ml.p3.16xlarge
    $0.10

    Usage Information

    Model input and output details

    Input

    Summary

    The model can extract sentiment out of input text. Provide a list of sentences to classify.

    Limitations for input type
    Maximum number of words per sentence is 200
    Input MIME type
    text/csv, application/json
    Sample input data
    [
      "His behavior was unnaceptable",
      "I feel pretty good about this"
    ]

    Output

    Summary

    The sentiment is classified as positive or negative, and a confidence value is provided (0 to 1) with 1 being highly confident.

    Output MIME type
    application/json
    Sample output data
    {
      "results": [
        {
          "confidence": 0.9142799377441406,
          "input": "I feel great today",
          "sentiment": "positive"
        }
      ]
    }

    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

    AWS Infrastructure

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

    Learn More

    Refund Policy

    No refunds offered but you may cancel at any time

    Customer Reviews

    There are currently no reviews for this product.
    View all