To classify the email into Spam and Non-Spam
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With the help of text-classifier algorithms, rejecting mails based on text analysis can be serious problem in case of false positives. Normally users and organizations would not want any genuine e-mails to be lost. Black list approach has been one of the earliest approaches tried for the filtering of spams.
The strategy is to accept all the mails except the ones from the domain/e-mail ids. With newer domains entering the category of spamming domains this strategy tends to not work so well. White list approach is the strategy of accepting the mails from the domains/addresses explicitly white listed and put others in a less priority queue, which is delivered only after sender responds to a confirmation request sent by the spam filtering system.
A list of commonly used resources that I find helpful are listed in the acknowledgements.
You need to have Python installed on your PC. If you do not have you can install from here
- Clone the repo
git clone https://github.com/teenpattitech/Spam-Filtering
- Install the Requirements
pip install -r requirements.txt
- Run the Streamlit App
streamlit run main.py
Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature) - Commit your Changes (
git commit -m 'Add some AmazingFeature') - Push to the Branch (
git push origin feature/AmazingFeature) - Open a Pull Request
Distributed under the MIT License. See LICENSE for more information.
Teenpatti Tech - weliveyoungcrce@gmail.com
Project Link: https://github.com/teenpattitech/Spam-Filtering