Deploy a machine learning model with AWS Elastic Beanstalk

A complete guide to serve a sentiment analysis model using AWS Elastic Beanstalk

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We present a comprehensive procedure to serve a FastText sentiment analysis model using AWS Elastic Beanstalk. We provide all you need to get your own on-demand sentiment analysis service in 5 languages.

A lot of resources are available on the web to code and train a machine learning model. However, when it comes to deploying and putting it in production, tutorials and procedures become scarce. We try to fill this gap by providing information to:

• Learn how to deploy a basic flask app on AWS Elastic Beanstalk
• Learn how to implement your machine learning model
• Learn how to test your sentiment analysis model
• Understand the difference between Elastic Beanstalk and Amazon SageMaker to serve a machine learning model (pricing/pros & cons).
• Get your own on-demand sentiment analysis service.

Prerequisites
Below is the list of what you will need to go through this tutorial:

• An AWS account. Create an AWS account; it’s free.
• Basic knowledge of Python