A text classification project with transfer learning using Google Bert and TensorFlow
All the data im using can be found here
For the Preprocessing and encoding, im using Google Bert
For the training, i use TensorFlow
The model has a test score of 0.9652 on a new unseen data
Install all dependencies with
pip install -r requirements.txt
Run the project with
python app.py
Note : I know, im not good at ui design.