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Vineet Sejwal
Vineet Sejwal
Reserch Scholar, Jamia Millia Islamia
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BiCHAT: BiLSTM with deep CNN and hierarchical attention for hate speech detection
S Khan, M Fazil, VK Sejwal, MA Alshara, RM Alotaibi, A Kamal, AR Baig
Journal of King Saud University-Computer and Information Sciences 34 (7 …, 2022
692022
HCovBi-caps: hate speech detection using convolutional and Bi-directional gated recurrent unit with Capsule network
S Khan, A Kamal, M Fazil, MA Alshara, VK Sejwal, RM Alotaibi, AR Baig, ...
IEEE Access 10, 7881-7894, 2022
652022
CRecSys: A context-based recommender system using collaborative filtering and LOD
VK Sejwal, M Abulaish
IEEE access 8, 158432-158448, 2020
222020
CAMO: A context-aware movie ontology generated from LOD and movie databases
VK Sejwal, M Abulaish
Multimedia Tools and Applications 80 (5), 7247-7269, 2021
82021
BiCapsHate: attention to the linguistic context of hate via bidirectional capsules and hatebase
A Kamal, T Anwar, VK Sejwal, M Fazil
IEEE Transactions on Computational Social Systems, 2023
72023
A hybrid recommendation technique using topic embedding for rating prediction and to handle cold-start problem
VK Sejwal, M Abulaish
Expert Systems with Applications 209, 118307, 2022
42022
Context-based rating prediction using collaborative filtering and linked open data
VK Sejwal, M Abulaish
Proceedings of the 9th International Conference on Web Intelligence, Mining …, 2019
42019
Trust and context-based rating prediction using collaborative filtering: a hybrid approach
VK Sejwal, M Abulaish
Proceedings of the 9th international conference on web intelligence, mining …, 2019
32019
A Trust-Based Collaborative Filtering Approach to Design Recommender Systems
VK Sejwal, M Abulaish
International Journal of Advanced Computer Science and Applications 11 (10 …, 2020
12020
Towards the Design of a Context and Trust Aware Recommender System
VK Sejwal
Delhi, 0
HCovBi-Caps: Hate Speech Detection Using Convolutional and Bi-Directional Gated Recurrent Unit With Capsule Network
MALI ALSHARA, VK SEJWAL, RM ALOTAIBI
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Articles 1–11