https://github.com/mattytomo365/amazon-review-analysis

Analysis of a large Amazon product reviews dataset using sentiment analysis, collocation extraction, and much more.
https://github.com/mattytomo365/amazon-review-analysis

collocation-extraction nltk python sentiment-analysis

Last synced: about 1 year ago
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Analysis of a large Amazon product reviews dataset using sentiment analysis, collocation extraction, and much more.

• Host: GitHub
• URL: https://github.com/mattytomo365/amazon-review-analysis
• Owner: Mattytomo365
• Created: 2025-04-14T17:32:25.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2025-04-14T18:44:09.000Z (about 1 year ago)
• Last Synced: 2025-04-15T04:15:34.384Z (about 1 year ago)
• Topics: collocation-extraction, nltk, python, sentiment-analysis
• Language: Python
• Homepage:
• Size: 1.95 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Amazon Review Analysis

## Overview

This project sees me analyse a dataset consisting of Amazon product reviews. I will be performing sentiment analysis on this dataset, collocation extraction and much more.

Due to the size of the dataset, I can not commit it to this repository, however, you can download it from **Kaggle** [here](https://www.kaggle.com/datasets/arhamrumi/amazon-product-reviews)

I am developing this project using Python and VS Code, I will be keeping this repository updated as I go along!

You can track my progress [here](https://www.notion.so/1d518110f1f280a2b2c5c5c689bddc9f?v=1d518110f1f2805fa1d8000c4f339738&pvs=4)