README.md

metadata

title: Twitter Sentiment Analysis
emoji: 🌟
colorFrom: blue
colorTo: pink
sdk: gradio
sdk_version: 4.37.2
app_file: app.py
pinned: false

🌟 Twitter Sentiment Analysis

A simple Sentiment Analysis App built with NLTK, NumPy, and Gradio.
The model is trained on Twitter samples and classifies tweets as Positive 😊 or Negative 😡.

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🚀 Features

• Preprocessed Twitter dataset using NLTK
• Naive Bayes Classifier for sentiment prediction
• Interactive Gradio UI for testing tweets
• Stores predictions for future analysis

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📸 Demo

Try it live: Gradio Link

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🛠️ Installation

Clone the repository:

git clone https://github.com/yourusername/twitter-sentiment-analysis.git
cd twitter-sentiment-analysis

Create a virtual environment and install dependencies:

pip install -r requirements.txt

Run the app:

python app.py

📂 Project Structure

twitter-sentiment-analysis/
│── app.py              # Gradio app
│── model.py            # Sentiment prediction logic
│── requirements.txt    # Dependencies
│── README.md           # Project documentation

🤝 Contributing

Pull requests are welcome! For major changes, open an issue first to discuss what you’d like to improve.

☕ Support Me

If you like this project, consider buying me a coffee ☕❤️

👨‍💻 Author

Sami Ali

• [LinkedIn(https://www.linkedin.com/in/samihali/)]
• [Portfolio(https://alisami.vercel.app/)]