Need model with BERT and GCN for Author Verification
Budget: $30 – $250 USD
Description
I need a project that is written in 'Google Colab'.
The project takes 2 kind of documents - original Shakespeare books and fake Shakespeare books.
The algorithm needs to take every time half of original documents and half of fake ones and train them as an graph convolutional network and then take the other halfs and check with the network if it was written by shakespeare or not.
Repeat this process multiple times with diffrenent books and save the preditction statistics ( preferably with graphs to visualize ).
Adding a picture for detailed description.
** The project must use Graph nural networks and BERT!
I need a project that is written in 'Google Colab'.
The project takes 2 kind of documents - original Shakespeare books and fake Shakespeare books.
The algorithm needs to take every time half of original documents and half of fake ones and train them as an graph convolutional network and then take the other halfs and check with the network if it was written by shakespeare or not.
Repeat this process multiple times with diffrenent books and save the preditction statistics ( preferably with graphs to visualize ).
Adding a picture for detailed description.
** The project must use Graph nural networks and BERT!