• Built ML model to classify tweets into disastrous and non-disastrous tweets • Data preprocessing (handling misspelled words, urls, hashtags, etc.) • Developed and trained several machine learning models - SVM, XGBoost, LSTM, BERT and chose BERT as a best model and got 80.90% F1 score on test dataset.
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SaurabhMaydeo/Real-or-Not-NLP-with-Disaster-Tweets
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