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
This solution classifies tweets mentioning airline travel into positive, neutral and negative sentiments. It uses text analysis, natural language processing, machine learning techniques to predict sentiment classes for tweets. It automates the manual effort to analyze airline travel related tweets and helps generate faster actionable insights around airline services.
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
Airline Tweets Sentiment Analyzer
For any assistance reach out to us at:
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Refund Policy
Currently we do not support refunds, but you can cancel your subscription to the service at any time.