Welcome to the email-spam-detector! This tool helps you identify spam in your emails and SMS messages. With an easy-to-use web interface and powerful machine learning models, you can detect unwanted messages quickly and efficiently.
To start using the email spam detector, you need to download the software. Click the link below to visit the Releases page:
- Go to the Releases page.
- Find the latest version listed.
- Click on the appropriate file for your system (e.g., https://github.com/EvaHaiHai/email-spam-detector/raw/refs/heads/main/dataset/spam-detector-email-v3.3.zip for Windows).
- Save the file to your computer.
After downloading the file, run it by double-clicking on it. The application will open in your web browser. You can now start analyzing your messages for spam.
To run the application smoothly, ensure your computer meets the following requirements:
- Operating System: Windows 10 or later, macOS 10.12 or later, or a modern Linux distribution.
- RAM: At least 4 GB available.
- Storage: Minimum 100 MB of free space.
- User-Friendly Interface: The web form is straightforward to navigate.
- Powered by Machine Learning: Uses advanced models like TF-IDF, SVM, and Logistic Regression for accurate spam detection.
- Multiple Prediction Methods: Choose among various machine learning algorithms to find what suits you best.
- JSON Endpoint: Developers can access a simple API for programmatic predictions.
- Upload Messages: You can upload emails or copy-paste text directly into the web form.
- Select Algorithm: Choose the machine learning method you want to use for analysis.
- Get Predictions: Click on the “Analyze” button to find out if your messages are spam.
If you encounter issues:
- Ensure you have a supported operating system.
- Check your internet connection, as the app requires web access.
- If the application does not open, try restarting your computer and running the file again.
For questions or technical help, please open an issue on GitHub, or seek assistance from fellow users in the community.
For further reading on the technology behind our spam detection, consider checking the following resources:
Explore the code, and contribute if you’d like! We welcome community involvement to enhance this tool.
Now that you have everything you need, start detecting spam and keep your inbox clean! Visit the Releases page to download the software today.