Offensive Language Detection for Low Resource Language Using Deep Sequence Model-Reference-Cited by-同舟云学术

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Offensive Language Detection for Low Resource Language Using Deep Sequence Model

Published:2023 Issue: Volume: Page:1-9
ISSN:2329-924X
Container-title:IEEE Transactions on Computational Social Systems
language:
Short-container-title:IEEE Trans. Comput. Soc. Syst.

Author:

Khan Anas Ali¹^ORCID,Iqbal M. Hammad¹^ORCID,Nisar Shibli¹^ORCID,Ahmad Awais²^ORCID,Iqbal Waseem¹

Affiliation:

1. Department of Information Security, National University of Sciences and Technology (NUST), Islamabad, Pakistan

2. Information Systems Department, College of Computer and Information Sciences, Imam Mohammed Ibn Saud Islamic University, Riyadh, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Human-Computer Interaction,Social Sciences (miscellaneous),Modeling and Simulation

Link

http://xplorestaging.ieee.org/ielx7/6570650/6780646/10155457.pdf?arnumber=10155457

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Detection of Offensive Language in Code-Mixed Text on Social Media;2024 3rd International Conference on Artificial Intelligence For Internet of Things (AIIoT);2024-05-03

2. Towards safer online communities: Deep learning and explainable AI for hate speech detection and classification;Computers and Electrical Engineering;2024-05

3. Syntax-aware Offensive Content Detection in Low-resourced Code-mixed Languages with Continual Pre-training;ACM Transactions on Asian and Low-Resource Language Information Processing;2024-03-26

4. Efficient feature extraction and classification for the development of Pashto speech recognition system;Multimedia Tools and Applications;2023-11-30

5. Demographical Based Sentiment Analysis for Detection of Hate Speech Tweets for Low Resource Language;ACM Transactions on Asian and Low-Resource Language Information Processing;2023-08-31

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