Sold by: SigmoDataÂ
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.comÂ
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.
Details
Sold by
Delivery method
Latest version
Deployed on AWS
Unlock automation with AI agent solutions
Fast-track AI initiatives with agents, tools, and solutions from AWS Partners.
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.
Pricing
Free trial
Try this product free for 1 day according to the free trial terms set by the vendor.
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.
Dimension | Description | Cost/host/hour |
|---|---|---|
ml.m5.xlarge Inference (Batch) Recommended | Model inference on the ml.m5.xlarge instance type, batch mode | $0.10 |
ml.m5.xlarge Inference (Real-Time) Recommended | Model inference on the ml.m5.xlarge instance type, real-time mode | $0.10 |
ml.m5.large Inference (Batch) | Model inference on the ml.m5.large instance type, batch mode | $0.10 |
ml.m5.2xlarge Inference (Batch) | Model inference on the ml.m5.2xlarge instance type, batch mode | $0.10 |
ml.m5.4xlarge Inference (Batch) | Model inference on the ml.m5.4xlarge instance type, batch mode | $0.10 |
ml.m5.12xlarge Inference (Batch) | Model inference on the ml.m5.12xlarge instance type, batch mode | $0.10 |
ml.m5.24xlarge Inference (Batch) | Model inference on the ml.m5.24xlarge instance type, batch mode | $0.10 |
ml.m4.xlarge Inference (Batch) | Model inference on the ml.m4.xlarge instance type, batch mode | $0.10 |
ml.m4.2xlarge Inference (Batch) | Model inference on the ml.m4.2xlarge instance type, batch mode | $0.10 |
ml.m4.4xlarge Inference (Batch) | Model inference on the ml.m4.4xlarge instance type, batch mode | $0.10 |
Vendor refund policy
No refunds offered but you may cancel at any time
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA)Â .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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:
Version release notes
Fixed security vulnerabilities
Additional details
Inputs
- 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, application/x-www-form-urlencoded
["His behavior was unnaceptable", "I feel pretty good about this"]
https://raw.githubusercontent.com/sigmodata/public/main/products/Sentiment-Model/sentiment-batch-transform-input.json
Input data descriptions
The following table describes supported input data fields for real-time inference and batch transform.
Field name | Description | Constraints | Required |
|---|---|---|---|
input | list of strings | Type: FreeText
Limitations: max 200 words per string | Yes |
Resources
Vendor resources
Support
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.
Similar products
By Askforcloud LLC
This product has charges associated with it for seller support. The Apache Hadoop framework develops open-source software for reliable, scalable, distributed computing.
By aMiSTACX
This product has charges associated with it for deployment support, and the aMiSTACX A51 Monitoring and Control dashboard.
Ubuntu 22.04 LTS developer's stack deployed via an aMiSTACX G6F. Additionally, get AWS dashboard manageability with aMiSTACX's A51 Monitoring & Control Dashboard.
By Apiable
Productize your APIs without the dev time
By ClimateTracker
ClimateTracker provides intelligent AI Climate Disclosure reporting tools that guide organisations through changing climate standards, help make impactful climate decisions and reduce compliance costs
Customer reviews
No customer reviews yet
Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.