CSE510 Fall24 Stony Brook Project. It is a survey of pretrained Language models BERT, DistilBERT, RoBERTA, XLNet on Sentiment, Multilinual, Relational, Multiclass datasets
The notebooks are created in kaggle and google colab
Sentiment Analysis
Multilingual
https://www.kaggle.com/code/harshramani/multilingual-movie-reviews-xlnet
https://www.kaggle.com/code/harshramani/ml-movie-review-xlmroberta
https://colab.research.google.com/drive/1cPUk5CaSJzWjPCGDd28sZ_sCdNNK3z9v
https://colab.research.google.com/drive/1qFmR3tot-spw6Um2cFXRTd7CqXoIidy3
Stance Detection
https://www.kaggle.com/code/vixhnuraja/stance-detection-roberta-basic
https://www.kaggle.com/code/vixhnuraja/stance-detection-xlnet-basic
https://www.kaggle.com/code/vixhnuraja/stance-detection-bert-basic
https://www.kaggle.com/code/vixhnuraja/stance-detection-distilbert-basic
Multiclass Classificaiton