https://github.com/paulinagonzalezc/sentiment_analysis_python
https://github.com/paulinagonzalezc/sentiment_analysis_python
Last synced: about 2 months ago
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- Host: GitHub
- URL: https://github.com/paulinagonzalezc/sentiment_analysis_python
- Owner: paulinagonzalezc
- Created: 2023-11-13T04:01:33.000Z (over 1 year ago)
- Default Branch: dev
- Last Pushed: 2023-11-13T04:20:37.000Z (over 1 year ago)
- Last Synced: 2025-04-11T02:18:36.096Z (about 2 months ago)
- Size: 795 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
Sentiment Analysis with Python
# 📗 Table of Contents
- [📖 About the Project](#about-project)
- [🛠 Built With](#built-with)
- [Tech Stack](#tech-stack)
- [Key Features](#key-features)
- [💻 Getting Started](#getting-started)
- [Setup](#setup)
- [👥 Authors](#authors)
- [🤝 Contributing](#contributing)
- [⭐️ Show your support](#support)Amazon Fine Food Reviews
Analyze ~500,000 food reviews from Amazon.
This dataset consists of reviews of fine foods from amazon. The data span a period of more than 10 years, including all ~500,000 reviews up to October 2012. Reviews include product and user information, ratings, and a plain text review. It also includes reviews from all other Amazon categories.All analysis included in jupyter notebook: SentimentAnalysisNB.ipynb
> Link to database: 'https://www.kaggle.com/datasets/snap/amazon-fine-food-reviews/data'
Client
- Jupyter Notebooks
Server
- SQL
- Reviews from Oct 1999 - Oct 2012
- 568,454 reviews
- 256,059 users
- 74,258 products
- 260 users with > 50 reviews
### Setup
Clone this repository to your desired folder:
```sh
cd folder
git clone https://github.com/paulinagonzalezc/location-smart-drive
```
👤 **Paulina Gonzalez**
- GitHub: [@paulinagonzalezc](https://github.com/paulinagonzalezc)
Contributions, issues, and feature requests are welcome!
Feel free to check the [issues page](https://github.com/paulinagonzalezc/sentiment_analysis_python/issues).
If you like this project please give it a star 😁🌟✨