https://github.com/alexcombessie/ensae_amazon-review-prediction

Prediction of Amazon product ratings from reviews' text mining - Project for the "Python programming" course by Xavier Dupre at ENSAE ParisTech
https://github.com/alexcombessie/ensae_amazon-review-prediction

ensae-paristech machine-learning nlp

Last synced: about 2 months ago
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Prediction of Amazon product ratings from reviews' text mining - Project for the "Python programming" course by Xavier Dupre at ENSAE ParisTech

• Host: GitHub
• URL: https://github.com/alexcombessie/ensae_amazon-review-prediction
• Owner: alexcombessie
• Created: 2015-11-17T15:26:59.000Z (about 9 years ago)
• Default Branch: master
• Last Pushed: 2015-12-21T21:04:50.000Z (about 9 years ago)
• Last Synced: 2024-11-01T20:28:26.879Z (2 months ago)
• Topics: ensae-paristech, machine-learning, nlp
• Language: Jupyter Notebook
• Homepage:
• Size: 1.05 MB
• Stars: 3
• Watchers: 3
• Forks: 4
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# ENSAE_PythonMachineLearning

This repo is for a Machine Learning project in Python at ENSAE ParisTech, for Xavier Dupre's class. 

Our goal was to predict a product's review rating (1 to 5) using the review text.

We implemented classic "Bag of Words" text mining techniques to extract features, and used Naive Bayes and SVM classifiers.