In this notebook, we will build a model to automatically classify tweet text into disaster-related or not disaster-related categories. This can help identify tweets discussing real-world disasters and expedite relief efforts.
The dataset comes from a Kaggle competition and contains ~10,000 tweets labeled as positive (relevant to disasters) or negative (not relevant).