Amazon SageMaker
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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 Overview
Emotion Analysis algorithm uses Natural Language Processing (NLP) to predict the emotion classes from a corpus of text. The algorithm analyses individual text expressions in tweets, comments, etc. made on social media platforms or captured in any other text format to classify across four emotion classes (Anger, Fear, Joy and Sadness). This can be applied to a variety of fields like marketing, medicine, banking, etc. to provide hyper personalized, tailor-made experiences to individuals.
Key Data
| Version | |
| By | Mphasis |
| Categories | |
| Type | Model Package |
| Fulfillment Methods | Amazon SageMaker
|
Usage Information
Additional Resources
End User License Agreement
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Support Information
HyperGraf Text Emotion Analysis
For any assistance, please reach out at:
https://www2.mphasis.com/AWS-Marketplace-Support-LP.htmlAWS Infrastructure
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Refund Policy
Currently we do not support refunds, but you can cancel your subscription to the service at any time.