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...
Saved in:
| 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: | |
| Online Access: | https://doi.org/10.1038/s41598-024-79106-7 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
UEF-HOCUrdu: Unified Embeddings Ensemble Framework for Hate and Offensive Text Classification in Urdu
by: Kifayat Ullah, et al.
Published: (2025-01-01) -
MODERN URDU HİKÂYESİNİN DOĞUŞU VE GELİŞİMİ / THE RISE AND DEVELOPMENT OF MODERN URDU STORY
by: Recep DURGUN
Published: (2013-01-01) -
Urdu Toxic Comment Classification With PURUTT Corpus Development
by: Hafiz Hassaan Saeed, et al.
Published: (2025-01-01) -
A dataset of Roman Urdu text with spelling variations for sentence level sentiment analysisMendeley Data
by: Mudasar Ahmed Soomro, et al.
Published: (2024-12-01) -
URDU DİLİNDE SÖZLÜK HAZIRLAMA GELENEĞİ / THE TRADITION OF DICTIONARY COMPILING IN THE URDU LANGUAGE
by: Recep DURGUN
Published: (2016-12-01)