🧠 Sentiment Analyst

Large-scale Twitter sentiment analysis project examining 500K+ ChatGPT-related tweets (Jan–Mar 2023).

🔍 Overview

This project analyzes public sentiment during ChatGPT's early release phase using:

• VADER
• TextBlob
• Time-series trend analysis
• Word cloud visualization

📊 Key Features

• Sentiment classification (Positive, Neutral, Negative)
• Model comparison (VADER vs TextBlob)
• Temporal sentiment trend analysis
• Correlation between sentiment models
• Data visualization using Matplotlib

🛠 Tech Stack

• Python
• Pandas
• Matplotlib
• TextBlob
• VADER Sentiment

📁 Project Structure

Sentiment-Analyst/ │ ├── data/ ├── notebooks/ ├── outputs/ ├── src/ ├── requirements.txt └── README.md

🚀 How to Run

pip install -r requirements.txt
jupyter notebook

Built by Ansh Chawla 🚀
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# 🎯 Now Big Question

Do you want to:

1. 🔥 Turn this into a Streamlit web app?
2. 🤖 Add ML model (Logistic Regression / BERT)?
3. 📊 Add performance metrics section?
4. 🏆 Make it Final Year Major Project level?

You’re at the stage where we can level this up seriously 😎