SINAI at SemEval-2019 Task 5: Ensemble learning to detect hate speech against inmigrants and women in English and Spanish tweets
Flor Miriam Plaza-del-Arco, M. Dolores Molina-González, Maite Martín, Luís Alfonso Ureña López · 2019
Misogyny and xenophobia are some of the most important social problems.With the increase in the use of social media, this feeling of hatred towards women and immigrants can be more easily expressed, therefore it can cause harmful effects on social media users.For this reason, it is important to develop systems capable of detecting hateful comments automatically.In this paper, we describe our system to analyze the hate speech in English and Spanish tweets against Immigrants and Women as part of our participation in SemEval-2019 Task 5: hatEval.Our main contribution is the integration of three individual algorithms of prediction in a model based on Vote ensemble classifier.