🎬 Twitter Analysis App 🎶

Welcome to the Twitter Analysis App! This web application combines the power of real-time tweet analysis with sentiment analysis to recommend trending movies and songs. By fetching data from Spotify and TMDB, it provides personalized email updates to users based on their preferences.

📚 Table of Contents

• Features
• Technologies Used
• Getting Started
• Usage
• Contributing
• License
• Contact

🚀 Features

• Real-Time Analysis: The app analyzes tweets in real-time to gauge public sentiment about movies and songs.
• Personalized Recommendations: Users receive tailored recommendations based on their interests.
• Email Alerts: Get updates directly to your inbox about trending movies and songs.
• Integration with Spotify and TMDB: Access a vast database of music and movies for accurate recommendations.
• User Feedback System: Users can provide feedback on recommendations to improve the system.

🛠️ Technologies Used

This application utilizes several technologies to provide a seamless experience:

• Django: A high-level Python web framework that encourages rapid development.
• Python: The primary programming language used for backend development and data analysis.
• Natural Language Processing (NLP): Used for sentiment analysis of tweets.
• Spotify API: For fetching music data.
• TMDB API: For accessing movie data.
• Email Services: To send personalized updates to users.

🌐 Getting Started

To get started with the Twitter Analysis App, follow these steps:

1. Clone the Repository:

   git clone https://github.com/symongpt/twitter-analysis-app.git

2. Install Dependencies: Navigate to the project directory and install the required packages.

   cd twitter-analysis-app
   pip install -r requirements.txt

3. Set Up Environment Variables: Create a .env file in the root directory and add your API keys for Twitter, Spotify, and TMDB.

4. Run the Application: Start the server using the following command:

   python manage.py runserver

5. Access the App: Open your web browser and go to http://127.0.0.1:8000.

📊 Usage

Once the application is running, users can:

• Sign Up: Create an account to start receiving recommendations.
• Connect Social Media: Link your Twitter account for real-time analysis.
• Set Preferences: Specify your favorite genres for personalized recommendations.
• Receive Email Updates: Get alerts about trending movies and songs based on your interests.

🤝 Contributing

We welcome contributions to enhance the Twitter Analysis App. Here’s how you can help:

1. Fork the Repository: Click on the "Fork" button at the top right corner of the page.
2. Create a Branch:

   git checkout -b feature/YourFeature

3. Make Your Changes: Implement your feature or fix.
4. Commit Your Changes:

   git commit -m "Add a new feature"

5. Push to Your Branch:

   git push origin feature/YourFeature

6. Open a Pull Request: Go to the original repository and click on "New Pull Request".

📄 License

This project is licensed under the MIT License. See the LICENSE file for more details.

📞 Contact

For questions or suggestions, feel free to reach out:

• Email: your-email@example.com
• Twitter: @your_twitter_handle

Explore the latest updates and releases here:

Thank you for checking out the Twitter Analysis App! We hope you enjoy discovering new movies and songs through our platform.