Fake News Detection AI
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FND is a machine learning project that were made to predict whether a news is fake or not. This project are using IndoBERT model trained by IndoLEM Team and fine-tuned on 3 different indonesian fake news dataset source with total 2220 news. And get 86.7% Validation Accuracy with 0.25 Validation Loss.
To get a local copy up and running follow these simple steps.
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Clone the repo
$ git clone https://github.com/rifkybujana/FND.git
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Install the required package
$ python setup.py install
Note: CLI Support comming soon
$ streamlit run App.pySee the open issues for a list of proposed features (and known issues).
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 GPL-3.0 License. See LICENSE for more information.
- Rifky Bujana Bisri - @rifkybujanabisri - rifkybujanabisri@gmail.com
- Aikyo Dzaki Aroef - @aikibot - aikyodzakiaroef@gmail.com
Project Link: https://github.com/rifkybujana/FND
Special Thanks to Intel, Orbit Future Academy and Indonesian Ministry of Education and Culture for holding AI For Youth Indonesia, because without it we can't make this project real or even we won't know anything about machine learning.