https://github.com/tolumie/sentiment-analysis-of-amazon-customer-reviews
This Project applies advanced Natural Language Processing (NLP) techniques to classify sentiments from Amazon customer reviews, helping businesses gain actionable insights.
https://github.com/tolumie/sentiment-analysis-of-amazon-customer-reviews
Last synced: 4 months ago
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This Project applies advanced Natural Language Processing (NLP) techniques to classify sentiments from Amazon customer reviews, helping businesses gain actionable insights.
- Host: GitHub
- URL: https://github.com/tolumie/sentiment-analysis-of-amazon-customer-reviews
- Owner: Tolumie
- Created: 2025-03-05T02:41:31.000Z (8 months ago)
- Default Branch: master
- Last Pushed: 2025-03-05T04:16:12.000Z (8 months ago)
- Last Synced: 2025-06-04T01:06:38.292Z (5 months ago)
- Language: Jupyter Notebook
- Size: 7.37 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
### **📌 Sentiment Analysis of Amazon Customer Reviews**
This repository contains a **Sentiment Analysis project** that applies **Natural Language Processing (NLP) techniques** to classify Amazon customer reviews into **positive, negative, or neutral** sentiments.
---
## **📖 Overview**
Sentiment analysis helps businesses understand customer opinions and make **data-driven decisions**. This project uses **TextBlob** for computing sentiment polarity and subjectivity, while **VADER (Valence Aware Dictionary and Sentiment Reasoner)** classifies reviews. The pipeline includes:
- **Data Preprocessing** (Cleaning, Tokenization, Stopword Removal)
- **Sentiment Classification** using TextBlob & VADER
- **Data Visualization** for actionable insights---
## **🛠Technology Stack**
| Tool/Library | Purpose |
|--------------|---------|
| **Python** | Core Programming Language |
| **NLTK** | Natural Language Processing |
| **TextBlob** | Sentiment Analysis |
| **VADER** | Rule-based Sentiment Analysis |
| **Matplotlib & Seaborn** | Data Visualization |
| **Pandas** | Data Handling |---
## **🚀 How to Use**
### **🔹 Navigate into the Folder:**
```bash
cd Sentiment-Analysis-of-Amazon-Customer-Reviews
```### **🔹 Install Required Dependencies:**
```bash
pip install -r requirements.txt
```### **🔹 Run the Sentiment Analysis Script:**
```bash
python sentiment_analysis.py
```---
## **📜 Contributions & Issues**
- Feel free to fork the repository and submit pull requests.
- If you encounter any issues, report them via [GitHub Issues](https://github.com/Tolumie/Sentiment-Analysis-of-Amazon-Customer-Reviews/issues).---
## **📧 Contact**
For any inquiries, reach out via **GitHub**. 🚀---
🔹 **Happy Analyzing! 📊💡**