Paper Title :A Comprehensive Analysis of Recent Advancements in Deep Learning Based Cyberbullying Text Detection
Author :Rishabh Chakraborty
Article Citation :Rishabh Chakraborty ,
(2024 ) " A Comprehensive Analysis of Recent Advancements in Deep Learning Based Cyberbullying Text Detection " ,
International Journal of Advance Computational Engineering and Networking (IJACEN) ,
pp. 44-50,
Volume-12,Issue-6
Abstract : The rise of digital technology in the modern era and the proliferation of online social media platforms and
different online forums have led to unparalleled degrees of communication and sharing of information. Amidst the benefits,
it has also led to a pervasive issue in the digital world known as cyberbullying, leading to significant challenges to the wellbeing
of individuals and a threat to societal harmony. This paper presents a thorough review of the recent advancements in
deep learning techniques by various researchers to automate the process of cyberbullying detection. This paper investigates
various deep learning techniques like Convolutional neural networks (CNN), Recurrent Neural Networks (RNN), Long
Short-Term Memory (LSTM), transformers, Graph Convolution Networks (GCN), and hybrid approaches.Thesurvey is
conducted on various private and publicly available datasets to gain more insights about these diverse Deep Learning
techniques, highlighting their performance, strengths, and limitations. The experiment reveals that LSTM andBi-LSTM deep
models achieved exceptional performance and BERT, m-BERT and modified BERT models have achieved good F-1 scores
in detecting toxic content across multiple languages. The hybrid-based models and the introduction of the GCN model are
also showing promising results in this domain. This comprehensive in-depth analysiswill provide valuable insights for
researchers, practitioners, and policymakers that will guide in combating cyberbullying detection and the selection and
choice of appropriate models.
Keywords - Cyber Hate Speech,BiGRU, DNN,GCN, OSN.
Type : Research paper
Published : Volume-12,Issue-6
Copyright: © Institute of Research and Journals
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Published on 2024-09-21 |
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