Roman urdu hate speech detection using hybrid machine learning models and hyperparameter optimization

Roman urdu hate speech detection using hybrid machine learning models and hyperparameter optimization

Abstract With the rapid increase of users over social media, cyberbullying, and hate speech problems have arisen over the past years. Automatic hate speech detection (HSD) from text is an emerging research problem in natural language processing (NLP). Researchers developed various approaches to solv...

Full description

Saved in:
Bibliographic Details
Main Authors: Waqar Ashiq, Samra Kanwal, Adnan Rafique, Muhammad Waqas, Tahir Khurshaid, Elizabeth Caro Montero, Alicia Bustamante Alonso, Imran Ashraf
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Scientific Reports
Subjects:
Hate speech detection
Deep learning
Model optimization
Urdu text classification
Online Access:https://doi.org/10.1038/s41598-024-79106-7
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1038/s41598-024-79106-7

Similar Items