HATERecognizer at SemEval-2019 Task 5: Using Features and Neural Networks to Face Hate Recognition

Abstract

This paper presents a detailed description of our participation in task 5 on SemEval-2019 1. This task consists of classifying English and Spanish tweets that contain hate towards women or immigrants. We carried out several experiments; for a finer-grained study of the task, we analyzed different features and designing architectures of neural networks. Additionally, to face the lack of hate content in tweets, we include data augmentation as a technique to increase hate content in our datasets.