| #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 | |