… Written comments are considered in this research since; the task of hate speech detection is
… was to identify an appropriate lexiconbased method for hate speech identification. Google …

… hate speech detection on social media. In this paper, we propose a hate speech detection
approach to identify hatred against vulnerable minority groups on social media. Firstly, in …

… Next we present the Hate Speech Detection dataset used in our experiments. We applied
a linear Support Vector Machine (SVM) classifier and used three groups of features extracted …

… hate classification as a multiclass problem. In this article, we present the hate identification
on the social media … ” for labeling the social media contents as the hate speech, offensive, or …

… However, these media platforms … hateful posts, nor do they regulate other kinds of hate
speech. To mitigate this problem, machine learning can be used to identify potential hate speech …

… made so far in automatic hate speech detection in social media. Hate speech as a societal
problem … hate speech in social media. This study found out that there is more research work in …

… on hate speech and its related detection approaches. In addition, the recent contributions
on hate speech and its related anti-social … hate speech detection problem will be presented. …

… the types of digital hate speech, and their distinguishing characteristics, and paves the way
for future research seeking to improve our understanding of hate speech, its detection and its …

… as hate speech, … detection of hate speech in social media data. We have applied our model
on the HASOC2019 corpus, and attained a macro F1 score of 0.63 in hate speech detection …

… detection. This result is confirmed in [23], where AlBERTo is applied to hate speech detection
on Italian social media. … [12], the first shared task on hate speech on Italian organized within …