MAProcessing/MAOffens

Offensive Language detection in Moroccan Arabic # MAOffens ## Offensive Language detection in Moroccan Arabic This work aims to detecte offensive language in Moroccan Arabic used in social media. The first step was the collection and the annotation of a dataset of 23k comments from YouTube written in Moroccan Arabic. Then, an analysis was conducted to explore the data as well as the annotation. Finally, we conducted a series of experiments to evaluate the performance of the dataset in offensive language classification.