Sentiment-Preserving-Text-Summarization

Dataset Links.txt - Links to the dataset used in our project.

BERT_Sentiment.ipynb - BERT Model implementation for Sentiment analysis LR_Sentiment.ipynb - Logistic Regression Model for Sentiment analysis Summarization.ipynb - PyTorch T5 and Simple Extractive Text Summarization Models Results.ipynb - All datasets loaded to draw conclusions

A folder 'MIProject' with both datasets needs to be set up in Google Drive and the files can be excecuted in the given order:

LR_Sentiment.ipynb Summarization.ipynb MI_Project_Results.ipynb
BERT_Sentiment.ipynb (does not contribute to project as it does not give desirable results)