DEA-RNN: A Hybrid Deep Learning Approach for Cyberbullying Detection in Twitter Social Media Platform

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 social media platforms safer from cyberbullying. This paper presents a hybrid deep learning model, called DEA-RNN, to...

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Bibliographic Details
Main Authors: Belal Abdullah Hezam Murshed, Jemal Abawajy, Suresha Mallappa, Mufeed Ahmed Naji Saif, Hasib Daowd Esmail Al-Ariki
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Cyber-bullying
tweet classification
Dolphin Echolocation algorithm
Elman recurrent neural networks
short text topic modeling
cyberbullying detection
Online Access:https://ieeexplore.ieee.org/document/9718597/

Internet

https://ieeexplore.ieee.org/document/9718597/

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