Hate speech detection is a challenging problem with most of the datasets available in only one language: English.
We train a multi-class classifier to distinguish between these different categories.
The increased expansion of abusive content on social media platforms negatively affects online users.
This working-notes are about the participation of the UMUTeam in a LT-EDI shared task concerning the identification of homophobic and transphobic comments in YouTube.