HCovBi-Caps: Hate Speech Detection Using Convolutional and Bi-Directional Gated Recurrent Unit With Capsule Network

HCovBi-Caps: Hate Speech Detection Using Convolutional and Bi-Directional Gated Recurrent Unit With Capsule Network

Adversaries and anti-social elements have exploited the rapid proliferation of computing technology and online social media in the form of novel security threats, such as fake profiles, hate speech, social bots, and rumors. The hate speech problem on online social networks (OSNs) is also widespread....

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Bibliographic Details
Main Authors: Shakir Khan, Ashraf Kamal, Mohd Fazil, Mohammed Ali Alshara, Vineet Kumar Sejwal, Reemiah Muneer Alotaibi, Abdul Rauf Baig, Salihah Alqahtani
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Hate speech detection
Twitter data analysis
convolutional layer
capsule network
BiGRU
deep learning
Online Access:https://ieeexplore.ieee.org/document/9682725/

Internet

https://ieeexplore.ieee.org/document/9682725/

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