Deployed on AWS
This solution provides text sentiment analysis with accurate and real-time insights for better decision-making
Overview
Sentiment Analysis uses a state of art transformer based natural language processing model. The product provides accurate, real-time sentiment analysis, enabling businesses to understand customer emotions and opinions better. This enables you to gain valuable insights from vast amounts of textual data, and make data-driven decisions, and transform the way oragnizations interact with their customer. Analyze sentiment with our scalable and cutting-edge solution, for the enhanced customer experience and improved business outcomes. The solution provides both batch and real-time inference capabilities.
Highlights
- Sentiment Analysis solution is trained for accurately detecting the emotions in textual data and classify them as positive, negative and neutral. It has a small resource footprint for efficient processing and scalability.
- This solution can be used in customer service, customer feedback analysis, social media sentiment, healthcare, brand monitoring and reputation management etc. across industries like retail, telecom, hospitality, healthcare etc.
- Need more machine learning, deep learning, NLP and Quantum Computing solutions. Reach out to us at Harman DTS.
Details
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.
Pricing
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.large Inference (Batch) Recommended | Model inference on the ml.m5.large instance type, batch mode | $10.00 |
ml.t2.medium Inference (Real-Time) Recommended | Model inference on the ml.t2.medium instance type, real-time mode | $2.00 |
ml.m4.4xlarge Inference (Batch) | Model inference on the ml.m4.4xlarge instance type, batch mode | $10.00 |
ml.m5.4xlarge Inference (Batch) | Model inference on the ml.m5.4xlarge instance type, batch mode | $10.00 |
ml.m4.16xlarge Inference (Batch) | Model inference on the ml.m4.16xlarge instance type, batch mode | $10.00 |
ml.m5.2xlarge Inference (Batch) | Model inference on the ml.m5.2xlarge instance type, batch mode | $10.00 |
ml.p3.16xlarge Inference (Batch) | Model inference on the ml.p3.16xlarge instance type, batch mode | $10.00 |
ml.m4.2xlarge Inference (Batch) | Model inference on the ml.m4.2xlarge instance type, batch mode | $10.00 |
ml.c5.2xlarge Inference (Batch) | Model inference on the ml.c5.2xlarge instance type, batch mode | $10.00 |
ml.p3.2xlarge Inference (Batch) | Model inference on the ml.p3.2xlarge instance type, batch mode | $10.00 |
Vendor refund policy
We do not provide any usage related refunds at this 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
Feature updates and bug fixes
Additional details
Inputs
- Summary
A json document conatining the text to be analyzed in the format { "Text": "Some Text" }
- Limitations for input type
- Test should be utf-8 encoded
- Input MIME type
- application/json
https://github.com/HDTS-user/eNova-Sentiment-Analysis/tree/main/input
https://github.com/HDTS-user/eNova-Sentiment-Analysis/tree/main/input
Input data descriptions
The following table describes supported input data fields for real-time inference and batch transform.
Field name | Description | Constraints | Required |
|---|---|---|---|
Text | The text to be analyzed | Type: FreeText
Limitations: Maximum 300 characters | Yes |
Resources
Support
Vendor support
Business hours email support marketplaceSupp@harman.comÂ
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
This specific solution will provide sentiment analysis for a product.
Sentiment Analysis API can help you get a sentiment score of a given input text.
This AI agent analyzes customer communications to determine sentiment (positive/negative/neutral) and tone (urgency, formality, emotion) with detailed justifications. It helps support teams quickly understand customer emotions and prioritize responses, improving customer service efficiency and response quality.
Is this comment positive or negative? Find out the tone of a user comment or post.
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