JBielan / sagemaker-nlp-xgboost

AWS Sagemaker sentiment analysis using XGBoost algorithm on 50000 of labeled IMDb reviews with commentary!

Introduction

25000 of labeled IMDb reviews are used to train with XGBoost algorithm and another 25000 reviews are used for model validation. It's very easy to achieve even 90% accuracy! Feel free to use that model for your personal projects.

What's the cost of calculations?

It's completely free.

How to use this notebook?

It's very easy! Just follow those steps:

1. Log-in to your AWS account
2. In left upper corner click on Services
3. Write sagemaker in search and click enter
4. On the left choose Notebook instances
5. On the right Create notebook instance
6. Leave default settings except IAM role where you should choose create a new role and accept default settings
7. Just click on create notebook instance and you're there!
8. After a notebook instance is ready, just open it and upload ipnyb file from this repository.

How to run it?

Open uploaded jupyter notebook and go through all cells by clicking shift+enter.

Summary

Be prepared for about 1h of learning, so run cells and start reading the content!