#NLP-Sentiment-Analysis-Airline-Tweets-with-BERT-V2

This repository showcases a sentiment analysis project utilizing BERT, a leading NLP model. The project involves preprocessing, tokenization, and fine-tuning BERT for sentiment classification of airline tweets.
The tasks in this model use the original model "BERT base model (uncased) ", using datasets :https://www.kaggle.com/datasets/crowdflower/twitter-airline-sentiment, It achieves the following results on the evaluation set
  Accuracy: 0.8203551912568307

  Colab Notebook for fine tuning:https://colab.research.google.com/drive/1IQen2iNXkjOgdzjyi7PQyLFqHyqHTF3A?usp=sharing