TransNet: Deep Attentional Hybrid Transformer for Arabic Posts Classification-Reference-Cited by-同舟云学术

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TransNet: Deep Attentional Hybrid Transformer for Arabic Posts Classification

Published:2024 Issue: Volume:12 Page:111070-111096
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Hossain MD. Mithun¹^ORCID,Hossain MD. Shakil¹,Hossain MD. Shakhawat¹^ORCID,Mridha M. F.²^ORCID,Safran Mejdl³^ORCID,Alfarhood Sultan⁴^ORCID

Affiliation:

1. Department of Computer Science and Engineering, Bangladesh University of Business and Technology, Dhaka, Bangladesh

2. Department of Computer Science, American International University-Bangladesh, Dhaka, Bangladesh

3. Department of Computer Science, College of Computer and Information Sciences, Research Chair of Online Dialogue and Cultural Communication, King Saud University, Riyadh, Saudi Arabia

4. Department of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia

Funder

Research Chair of Online Dialogue and Cultural Communication, King Saud University, Riyadh, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10632135.pdf?arnumber=10632135

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