Exploring deep learning approaches for Urdu text classification in product manufacturing
Muhammad Pervez Akhter(National University of Modern Languages), Muhammad Fayyaz(National University of Computer and Emerging Sciences), Mohammed Abdelmajeed(Northwestern Polytechnical University), Irfan Raza Naqvi(Northwestern Polytechnical University), Jiangbin Zheng(Westlake University)
Cited by 68
Related Papers
Document-Level Text Classification Using Single-Layer Multisize Filters Convolutional Neural Network
|IEEE Access|2020|115
Automatic Detection of Offensive Language for Urdu and Roman Urdu
|IEEE Access|2020|111
Comparative Study of Feature Selection Approaches for Urdu Text Categorization
|Malaysian Journal of Computer Science|2015|86
Abusive language detection from social media comments using conventional machine learning and deep learning approaches
|Multimedia Systems|2021|79
Early Earthquake Detection Using Batch Normalization Graph Convolutional Neural Network (BNGCNN)
|Applied Sciences|2022|55