Sentiment & Engagement Explorer

📊 A Jupyter Notebook-based project for analyzing sentiment and engagement on social media platforms. This project demonstrates how to clean, visualize, and interpret social media data to uncover trends and audience reactions.

🚀 Features

• Data Cleaning and Preprocessing
• Sentiment Analysis (using NLP)
• Engagement Metrics Visualization
• Platform Comparison (Optional)
• Word Clouds and Time-Series Analysis

📂 Files

• Social Media Analysis.ipynb: Main notebook containing all analysis and visualizations.
• data/: Directory for storing datasets (not uploaded here for privacy).
• requirements.txt: List of dependencies.

🛠️ Tech Stack

• Python
• Pandas, Numpy
• Seaborn, Matplotlib
• TextBlob / VADER (for sentiment analysis)
• Jupyter Notebook

📌 How to Run

git clone https://github.com/yourusername/sentiment-engagement-explorer.git
cd sentiment-engagement-explorer
pip install -r requirements.txt
jupyter notebook