Fake News Identification on Twitter with Hybrid CNN and RNN Models | Python Project | Machine Learning | Artificial Intelligence | Image Processing | IEEE (Copy)
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7338345250 , 
skstech.in@gmail.comAbstract:
The problem associated with the propagation of fake news continues to grow at an alarming scale. This trend has generated much interest from politics to academia and industry alike. We propose a framework and method that detects and classifies fake news messages from Twitter posts using a hybrid of convolutional neural networks and long-short term recurrent neural network models. We find in our work that using this deep learning approach achieves an 82% accuracy. Intuitively identifying relevant features associated with fake news stories without previous knowledge of topic domain.
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- Machine Learning
- Artificial Intelligence
- MySql
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