[HTML][HTML] A systematic review of hate speech automatic detection using natural language processing
MS Jahan, M Oussalah - Neurocomputing, 2023 - Elsevier
With the multiplication of social media platforms, which offer anonymity, easy access and
online community formation and online debate, the issue of hate speech detection and …
online community formation and online debate, the issue of hate speech detection and …
BERT models for Arabic text classification: a systematic review
AS Alammary - Applied Sciences, 2022 - mdpi.com
Bidirectional Encoder Representations from Transformers (BERT) has gained increasing
attention from researchers and practitioners as it has proven to be an invaluable technique …
attention from researchers and practitioners as it has proven to be an invaluable technique …
SemEval-2020 task 12: Multilingual offensive language identification in social media (OffensEval 2020)
We present the results and main findings of SemEval-2020 Task 12 on Multilingual
Offensive Language Identification in Social Media (OffensEval 2020). The task involves …
Offensive Language Identification in Social Media (OffensEval 2020). The task involves …
Tackling cyber-aggression: Identification and fine-grained categorization of aggressive texts on social media using weighted ensemble of transformers
The pervasiveness of aggressive content in social media has become a serious concern for
government organizations and tech companies because of its pernicious societal effects. In …
government organizations and tech companies because of its pernicious societal effects. In …
Emojis as anchors to detect arabic offensive language and hate speech
We introduce a generic, language-independent method to collect a large percentage of
offensive and hate tweets regardless of their topics or genres. We harness the extralinguistic …
offensive and hate tweets regardless of their topics or genres. We harness the extralinguistic …
Offensive language detection in Arabic social networks using evolutionary-based classifiers learned from fine-tuned embeddings
Social networks facilitate communication between people from all over the world.
Unfortunately, the excessive use of social networks leads to the rise of antisocial behaviors …
Unfortunately, the excessive use of social networks leads to the rise of antisocial behaviors …
Enhancing detection of Arabic social spam using data augmentation and machine learning
AM Alkadri, A Elkorany, C Ahmed - Applied Sciences, 2022 - mdpi.com
In recent years, people have tended to use online social platforms, such as Twitter and
Facebook, to communicate with families and friends, read the latest news, and discuss …
Facebook, to communicate with families and friends, read the latest news, and discuss …
ArCovidVac: analyzing Arabic tweets about COVID-19 vaccination
The emergence of the COVID-19 pandemic and the first global infodemic have changed our
lives in many different ways. We relied on social media to get the latest information about the …
lives in many different ways. We relied on social media to get the latest information about the …
Spam detection on arabic twitter
Twitter has become a popular social media platform in the Arab region. Some users exploit
this popularity by posting unwanted advertisements for their own interest. In this paper, we …
this popularity by posting unwanted advertisements for their own interest. In this paper, we …
Asad: Arabic social media analytics and understanding
This system demonstration paper describes ASAD: Arabic Social media Analysis and
unDerstanding, a suite of seven individual modules that allows users to determine dialects …
unDerstanding, a suite of seven individual modules that allows users to determine dialects …