… It is important to detect and analyze abusive language from online comments automatically.
… to detect abusive language for English. In this study, we perform abusive language detection …

… on online offensive language detection, we find limited research covering Arabic language
(… are not covering the topic of offensive language detection on a comprehensive basis. For …

… However, abusive language behaviour is multifaceted and available datasets are featured …
abusive language detection a domain-dependent task, and building a robust system to detect …

… a machine learning based method to detect hate speech on … -ofthe-art deep learning approach.
We also develop a corpus of … of a computational approach to abusive language detection. …

… This study used this approach to obtain more informative features based on CNN's features.
Bi-LSTM trains 2 distinct LSTMs in opposite directions on the same input sequence at the …

… To this end, we studied explanation methods and compared four different approaches to
make offensive language detection explainable: an interpretable machine learning algorithm (…

… Arabic language model, AraBERT, that we augment with the addition of Multi-task learning
to enable our model to learn efficiently from little data. Our Multitask AraBERT approach …

… bic offensive language detection, which lies at the core of machine learning, deep learning,
… and reported its superiority of over single-task and Multilabel approaches. Keleg et al. [2020…

… done recently in this field of automatic detection of offensive language. We show that how …
the usage of deep learning and we found many researchers using approaches such as LSTM, …

… Therefore, having a (preferably large) corpus of training data is a necessary first step for
any machine learning approach. For NLD, there is a paucity of training (and testing) corpora, …