Multi class classification using RNN(with LSTM) and BERT neural networks (Python to be used for development)

Requirement ( use PYTHON as development language in Jupyter Notebook)

——————–

1. Use the attached dataset to build RNN(with LSTM) and BERT models to classify text into three classes(Left, right, center)

2. Explanation about the choices made while developing the models

3. Metrics for RNN and BERT models. Must include AUC and ROC curves diagrams and any other additional metrics diagrams 

Data Explanation

————————-

text – Data to be classified

type – Target class