
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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Features and programs
Financing for AWS Marketplace purchases
Pricing
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:
- No refunds: Currently, we do not support refunds, but you can cancel your subscription to the service at any time
- 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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Legal
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Content disclaimer
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.
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
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 |
Resources
Vendor resources
Support
Vendor support
VNGRS ai team https://ai.vngrs.com vnlp@vngrs.com
AWS infrastructure support
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.