This is a NLP(Natural Language Processing Project) For this project Fisrt We need to Collect data from https://www.airlinequality.com/ . Then we need to remove the unnecessary text or the repeating words that are irrelevant. Then we created the dataframe, and started training our models. The models that are used here are VADER Seniment Scoring and Roberta Pretrained Model. Libraries like seaborn,pandas,numpy,NLTK have been used.
Pranjiljain26/British-Airways
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