Sentiment analysis using deep learning with Azure Machine Learning

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Link to the Microsoft DOCS site

The detailed documentation for this sentiment analysis example includes the step-by-step walk-through:

Link to the Gallery GitHub repository

The public GitHub repository for this sentiment analysis example contains all the code samples:


Sentiment analysis is a well-known task in the realm of natural language processing. Given a set of texts, the objective is to determine the sentiment of that text. This example demonstrates the use of Keras to perform sentiment analysis from movie reviews.

Key components needed to run this example

  1. An Azure account (free trials are available).
  2. An installed copy of Azure Machine Learning Workbench with a workspace created.
  3. The deployment part of this example is run on a Linux DSVM.

Data / Telemetry

Sentiment Analysis collects usage data and sends it to Microsoft to help improve our products and services. Read our privacy statement to learn more.


This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit

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This project has adopted the Microsoft Open Source Code of Conduct. For more information, see the Code of Conduct FAQ or contact with any additional questions or comments.