Reports from King Faisal University Describe Recent Advances in Bullying (Transformer learning-based neural network algorithms for identification and detection of electronic bullying in social media).

Předmět:	CYBERBULLYING CONVOLUTIONAL neural networks SOCIAL media INFORMATION technology TRANSFORMER models DEEP learning
Zdroj:	Mental Health Weekly Digest; 12/6/2024, p573-573, 1p
Abstrakt:	Researchers from King Faisal University have developed a model to combat cyberbullying on social media using transformer learning-based neural network algorithms. The model, which combines Word2Vec word-embedding method and deep learning convolutional neural network with bidirectional long short-term memory, outperformed other models with 84% accuracy in the Kaggle online discussion dataset and 94% accuracy in the Twitter dataset. This study aims to address the global issue of cyberbullying by providing a tool for identifying and detecting electronic bullying in social media. [Extracted from the article]
Databáze:	Complementary Index
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