Nisar Hussain

Orcid: 0000-0002-2877-8135

According to our database1, Nisar Hussain authored at least 13 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
A Comparative Study of Deep Learning and Transformer Models for Twitter Sentiment Analysis.
Int. J. Comb. Optim. Probl. Informatics, 2026

Toward Robust Offensive Language Detection in Urdu YouTube Discourse.
Int. J. Comb. Optim. Probl. Informatics, 2026

2025
Irony Detection in Urdu Text: A Comparative Study Using Machine Learning Models and Large Language Models.
CoRR, October, 2025

Fine-Tuning Large Language Models with QLoRA for Offensive Language Detection in Roman Urdu-English Code-Mixed Text.
CoRR, October, 2025

Detection of Depression Severity in Social Media Text Using Transformer-Based Models.
Inf., 2025

ORUD-Detect: A Comprehensive Approach to Offensive Language Detection in Roman Urdu Using Hybrid Machine Learning-Deep Learning Models with Embedding Techniques.
Inf., 2025

RU-OLD: A Comprehensive Analysis of Offensive Language Detection in Roman Urdu Using Hybrid Machine Learning, Deep Learning, and Transformer Models.
Algorithms, 2025

Machine Learning- and Deep Learning-Based Multi-Model System for Hate Speech Detection on Facebook.
Algorithms, 2025

Toward Bias-Aware and Efficient Offensive Language Detection Using QLoRA-Optimized LLaMA and GPT Models.
Proceedings of the Advances in Soft Computing, 2025

Sarcasm Detection in Roman Urdu Text: A Comprehensive Study Using Machine Learning and Large Language Model.
Proceedings of the Advances in Soft Computing, 2025

TechExperts(IPN) at GenAI Detection Task 1: Detecting AI-Generated Text in English and Multilingual Contexts.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

2023
Guilt Detection in Text: A Step Towards Understanding Complex Emotions.
CoRR, 2023

Stock Market Performance Analytics Using XGBoost.
Proceedings of the Advances in Computational Intelligence, 2023


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