no code implementations • ICON: 17th International Conference on Natural Language Processing 2021 • Md. Rajib Hossain, Mohammed Moshiul Hoque
The semantic word analogy tasks achieved 44. 00% of accuracy while syntactic word analogy tasks obtained 36. 00%.
1 code implementation • Engineering Applications of Artificial Intelligence 2024 • Md. Rajib Hossain, Mohammed Moshiul Hoque, Nazmul Siddique
This gap hampers crucial COVID information retrieval and processing necessary for policymakers and health authorities.
no code implementations • Neural Computing and Applications 2023 • Md. Rajib Hossain, Mohammed Moshiul Hoque, Nazmul Siddique & Iqbal H. Sarker
Covid text identification (CTI) is a crucial research concern in natural language processing (NLP).
no code implementations • IEEE Access 2021 • Md. Rajib Hossain, Mohammed Moshiul Hoque, M. Ali Akber Dewan, Nazmul Siddique, Md. Nazmul Islam, Iqbal H. Sarker
In total 36 classification models, including four classification models (CNN, LSTM, SVM, SGD) and three embedding techniques with 100, 200 and 250 embedding dimensions, are trained with optimized hyperparameters and tested on three benchmark datasets (BACC-18, BAAD16 and LD).