🛍️ Amazon Product Reviews Analysis

This project explores and analyzes Amazon product reviews using two publicly available datasets. The main goal is to understand customer sentiment, product performance, and sales distribution through exploratory data analysis and basic text analytics.

📦 Dataset Sources

• Consumer Reviews of Amazon Products
• Amazon Sales Dataset

🧰 Tech Stack

• Python
• Pandas, NumPy
• Matplotlib, Seaborn
• WordCloud
• Kaggle API

🚀 What This Notebook Covers

• Downloading and organizing datasets from Kaggle
• Cleaning and preprocessing raw data
• Visualizing trends in customer sentiment and product categories
• Exploring the relationship between reviews and ratings
• Optional sentiment analysis on review text

📁 Project Structure

📦 Amazon-Review-Analysis
┣ 📜 notebook.ipynb
┣ 📁 dataset/
┣ 📜 README.md

✅ How to Run

1. Install required libraries:

pip install kaggle pandas matplotlib seaborn wordcloud