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- research-articleNovember 2023
Passion-Net: a robust precise and explainable predictor for hate speech detection in Roman Urdu text
Neural Computing and Applications (NCAA), Volume 36, Issue 6Pages 3077–3100https://doi.org/10.1007/s00521-023-09169-6AbstractWith an aim to eliminate or reduce the spread of hate content across social media platforms, the development of artificial intelligence supported computational predictors is an active area of research. However, diversity of languages hinders ...
- research-articleSeptember 2023
EnML: Multi-label Ensemble Learning for Urdu Text Classification
- Faiza Mehmood,
- Rehab Shahzadi,
- Hina Ghafoor,
- Muhammad Nabeel Asim,
- Muhammad Usman Ghani,
- Waqar Mahmood,
- Andreas Dengel
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Volume 22, Issue 9Article No.: 227, Pages 1–31https://doi.org/10.1145/3616111Exponential growth of electronic data requires advanced multi-label classification approaches for the development of natural language processing (NLP) applications such as recommendation systems, drug reaction detection, hate speech detection, and opinion ...
- research-articleApril 2021
GHS-NET a generic hybridized shallow neural network for multi-label biomedical text classification
Journal of Biomedical Informatics (JOBI), Volume 116, Issue Chttps://doi.org/10.1016/j.jbi.2021.103699Graphical abstractDisplay Omitted
Highlights- An end to end Deep learning Framework for Biomedical text Classification.
- Deep ...
Exponential growth of biomedical literature and clinical data demands more robust yet precise computational methodologies to extract useful insights from biomedical literature and to perform accurate assignment of disease-specific ...
