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    VNLP Turkish Sentiment Analyzer

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    Sold by: VNGRS 
    Deployed on AWS
    VNLP Turkish Sentiment Analyzer uses cutting-edge NLP to help you understand your customers’ emotions and opinions in seconds.

    Overview

    Introducing VNLP, the cutting-edge sentiment analysis product that helps you understand the sentiment and emotions behind Turkish text. Our state-of-the-art natural language processing technology analyzes text data quickly and accurately, enabling you to gain insights into your customers’ opinions, attitudes, and emotions. With our intuitive user interface, you can easily upload your Turkish text data and get comprehensive analysis results in seconds. VNLP is designed with simplicity and ease of use in mind, so you can quickly and easily make data-driven decisions to improve your overall customer experience.

    Highlights

    • The model is trained on a vast, high quality dataset that is carefully compiled, cleaned and standardized to ensure consistency and accuracy.
    • * Advanced natural language processing technology for accurate and reliable sentiment analysis of Turkish text data. * Capable of analyzing Turkish language text data to provide deeper insights into customer emotions, attitudes, and opinions. * Quick and easy-to-use interface for uploading and analyzing Turkish text data in seconds. * Highly customizable analysis settings for tailoring analysis results to specific needs and goals. * A reliable and high-quality service from VNGRS, a trusted leader in natural language processing solutions."

    Details

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    Delivery method

    Latest version

    Deployed on AWS

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    Features and programs

    Financing for AWS Marketplace purchases

    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
    Financing for AWS Marketplace purchases

    Pricing

    VNLP Turkish Sentiment Analyzer

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    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (2)

     Info
    Dimension
    Description
    Cost
    ml.c4.2xlarge Inference (Batch)
    Recommended
    Model inference on the ml.c4.2xlarge instance type, batch mode
    $50.00/host/hour
    inference.count.m.i.c Inference Pricing
    inference.count.m.i.c Inference Pricing
    $0.02/request

    Vendor refund policy

    Refund Policy:

    1. No refunds: Currently, we do not support refunds, but you can cancel your subscription to the service at any time
    2. Cancellation policy: Customers can cancel their subscriptions at any time, which will prevent any future payments. However, canceling the subscription does not entitle the customer to a refund for any previous payments.

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    Vendor terms and conditions

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    Usage information

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    Delivery details

    Amazon SageMaker model

    An Amazon SageMaker model package is a pre-trained machine learning model ready to use without additional training. Use the model package to create a model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.

    Deploy the model on Amazon SageMaker AI using the following options:
    Deploy the model as an API endpoint for your applications. When you send data to the endpoint, SageMaker processes it and returns results by API response. The endpoint runs continuously until you delete it. You're billed for software and SageMaker infrastructure costs while the endpoint runs. AWS Marketplace models don't support Amazon SageMaker Asynchronous Inference. For more information, see Deploy models for real-time inference  .
    Deploy the model to process batches of data stored in Amazon Simple Storage Service (Amazon S3). SageMaker runs the job, processes your data, and returns results to Amazon S3. When complete, SageMaker stops the model. You're billed for software and SageMaker infrastructure costs only during the batch job. Duration depends on your model, instance type, and dataset size. AWS Marketplace models don't support Amazon SageMaker Asynchronous Inference. For more information, see Batch transform for inference with Amazon SageMaker AI  .
    Version release notes

    initial release

    Additional details

    Inputs

    Summary

    JSON content like {"sentiment":"kaliteli ürün, iyi ki varsınız"}

    Input MIME type
    application/json, application/json
    {"sentiment":" kaliteli ürün, iyi ki varsınız"}
    https://github.com/vngrs-ai/marketplace-vnlp/blob/main/input/input_batch.json

    Input data descriptions

    The following table describes supported input data fields for real-time inference and batch transform.

    Field name
    Description
    Constraints
    Required
    Json input data: "sentiment": "kaliteli ürün
    Turkish text to be analyzed and assigned a probability of positive sentiment
    Type: FreeText
    Yes
    iyi ki varsınız"
    Turkish text to be analyzed and assigned a probability of positive sentiment
    Type: FreeText
    Yes

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    Vendor resources

    Support

    AWS infrastructure support

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