https://github.com/mohamedashraf1/analyzing-product-sentiment

predict if a sentiment is positive or negative using Classification
https://github.com/mohamedashraf1/analyzing-product-sentiment

jupyter-notebook python3

Last synced: 9 days ago
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predict if a sentiment is positive or negative using Classification

• Host: GitHub
• URL: https://github.com/mohamedashraf1/analyzing-product-sentiment
• Owner: mohamedashraf1
• Created: 2020-06-13T23:31:02.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2020-06-22T23:39:17.000Z (over 4 years ago)
• Last Synced: 2023-10-09T21:29:20.882Z (about 1 year ago)
• Topics: jupyter-notebook, python3
• Language: Jupyter Notebook
• Homepage:
• Size: 20.5 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Analyzing-product-sentiment

on a large data set of reviews from amazon we create a logistic classifier to predict if a sentiment is positive or negative, using TuriCreate library and SFrame then test and evaluate the model over some test-data