BiCHAT: BiLSTM with deep CNN and hierarchical attention for hate speech detection
Online social networks(OSNs) face the challenging problem of hate speech, which should be moderated for the growth of OSNs. The machine learning approaches dominate the existing set of approaches for hate speech detection. In this study, we introduce BiCHAT: a novel BiLSTM with deep CNN and Hierarch...
Main Authors: | Shakir Khan, Mohd Fazil, Vineet Kumar Sejwal, Mohammed Ali Alshara, Reemiah Muneer Alotaibi, Ashraf Kamal, Abdul Rauf Baig |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2022-07-01
|
Series: | Journal of King Saud University: Computer and Information Sciences |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1319157822001550 |
Similar Items
-
HCovBi-Caps: Hate Speech Detection Using Convolutional and Bi-Directional Gated Recurrent Unit With Capsule Network
by: Shakir Khan, et al.
Published: (2022-01-01) -
Herniation of Bichat's Fat Tissue into the Oral Cavity Secondary to Trauma
by: Oğuz Kadir Eğilmez, et al.
Published: (2014-09-01) -
THE USE OF BICHAT’S BUCCAL FAT PAD FOR PERIODONTAL RECONSTRUCTION IN PATIENT WITH GENERALIZED PERIODONTITIS: A CASE REPORT
by: Natalia Idashkina, et al.
Published: (2021-03-01) -
Attentional Multi-Channel Convolution With Bidirectional LSTM Cell Toward Hate Speech Prediction
by: Mohd Fazil, et al.
Published: (2023-01-01) -
Regenerative potential of the Bichat fat pad determined by the quantification of multilineage differentiating stress enduring cells
by: Giamaica Conti, et al.
Published: (2018-10-01)