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#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
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