This project aims to develop a solution for the Kaggle "Natural Language Processing with Disaster Tweets" competition, available at https://www.kaggle.com/competitions/nlp-getting-started.
The main objective is to create an effective classification model to predict whether a tweet is related to real disasters or not. Two approaches were explored to achieve this goal: one using logistic regression and the other employing LSTM neural networks.
The project is organized as follows:
-Data: Contains the training and test data sets provided by the competition and the processed data.
-Study Test: Contains study notebooks