Cyberbullying detection for low-resource languages and dialects: Review of the state of the art
The struggle of social media platforms to moderate content in a timely manner, encourages
users to abuse such platforms to spread vulgar or abusive language, which, when …
users to abuse such platforms to spread vulgar or abusive language, which, when …
A review on deep-learning-based cyberbullying detection
Bullying is described as an undesirable behavior by others that harms an individual
physically, mentally, or socially. Cyberbullying is a virtual form (eg, textual or image) of …
physically, mentally, or socially. Cyberbullying is a virtual form (eg, textual or image) of …
DEA-RNN: A hybrid deep learning approach for cyberbullying detection in Twitter social media platform
Cyberbullying (CB) has become increasingly prevalent in social media platforms. With the
popularity and widespread use of social media by individuals of all ages, it is vital to make …
popularity and widespread use of social media by individuals of all ages, it is vital to make …
Sarcasm detection over social media platforms using hybrid auto-encoder-based model
Sarcasm is a language phrase that conveys the polar opposite of what is being said,
generally something highly unpleasant to offend or mock somebody. Sarcasm is widely …
generally something highly unpleasant to offend or mock somebody. Sarcasm is widely …
Fine-tuning llama 2 large language models for detecting online sexual predatory chats and abusive texts
Detecting online sexual predatory behaviours and abusive language on social media
platforms has become a critical area of research due to the growing concerns about online …
platforms has become a critical area of research due to the growing concerns about online …
[HTML][HTML] Contextual embeddings based on fine-tuned Urdu-BERT for Urdu threatening content and target identification
MSI Malik, U Cheema, DI Ignatov - … of King Saud University-Computer and …, 2023 - Elsevier
Identification of threatening text on social media platforms is a challenging task. Contrary to
the high-resource languages, the Urdu language has very limited such approaches and the …
the high-resource languages, the Urdu language has very limited such approaches and the …
ISE-Hate: a benchmark corpus for inter-faith, sectarian, and ethnic hatred detection on social media in Urdu
Social media has become the most popular platform for free speech. This freedom of speech
has given opportunities to the oppressed to raise their voice against injustices, but on the …
has given opportunities to the oppressed to raise their voice against injustices, but on the …
Assessing the learning of machine learning in K-12: A ten-year systematic mapping
MF Rauber, C Gresse von Wangenheim - Informatics in Education, 2022 - ceeol.com
Although Machine Learning (ML) has already become part of our daily lives, few are familiar
with this technology. Thus, in order to help students to understand ML, its potential, and …
with this technology. Thus, in order to help students to understand ML, its potential, and …
Detection of violence incitation expressions in Urdu tweets using convolutional neural network
The popularity and widespread use of social media are constantly generating unmonitored
data, spreading unwanted content such as hate speech and expressions that incite violence …
data, spreading unwanted content such as hate speech and expressions that incite violence …
Dynamic graph convolution neural network based on spatial-temporal correlation for air quality prediction
A Dun, Y Yang, F Lei - Ecological Informatics, 2022 - Elsevier
Air pollution is a serious threat to both the ecological environment and the physical health of
individuals. Therefore, accurate air quality prediction is urgent and necessary for pollution …
individuals. Therefore, accurate air quality prediction is urgent and necessary for pollution …