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....
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: | |
Online Access: | https://ieeexplore.ieee.org/document/9682725/ |
Similar Items
-
BiCHAT: BiLSTM with deep CNN and hierarchical attention for hate speech detection
by: Shakir Khan, et al.
Published: (2022-07-01) -
Classification of crop disease-pest questions based on BERT-BiGRU-CapsNet with attention pooling
by: Ting Zhang, et al.
Published: (2023-12-01) -
Summarization of scholarly articles using BERT and BiGRU: Deep learning-based extractive approach
by: Sheher Bano, et al.
Published: (2023-10-01) -
Text Emotion Recognition Based on XLNet-BiGRU-Att
by: Tian Han, et al.
Published: (2023-06-01) -
Research on power system fault prediction based on GA-CNN-BiGRU
by: Daohua Zhang, et al.
Published: (2023-08-01)