A/2, Jahurul Islam Avenue
Jahurul Islam City, Aftabnagar
Dhaka-1212, Bangladesh
Md. Ashraful Haider Chowdhury is a Lecturer in the Department of Computer Science and Engineering at East West University. He completed his M.Sc and B.Sc in Information and Communication Engineering from Bangladesh University of Professionals with a CGPA of 3.96 and 3.87 respectively. Prior to his current role, He served as a Lecturer at Northern University Bangladesh (NUB) and European University of Bangladesh (EUB).
| October 2024- Present |
Lecturer, Department of CSE, East West University |
| June 2023- October 2024 |
Lecturer, Department of CSE, Northern University Bangladesh |
| July 2022-June 2023 |
Lecturer, Department of CSE, European University of Bangladesh |
Text classification is known to be a supervised machine learning technique used in one or more predefined categories to classify sentences or text archives. To be a perfect phrase to convey one's feelings or to be significant, a Bengali sentence must have three properties i.e. Compatibility, Proximity and Expectancy. In this paper, we have proposed a method that is able to detect whether a Bengali sentence has compatibility, proximity and expectancy using Long Short Term Memory network. Our model is trained with word embedding layer and LSTM layer for the detection of Compatibility of a sentence but POS tagging is included for assuring the syntactic structure in case of Proximity and Expectancy detection. The model is tested on around 75000 Bengali simple sentences. The proposed framework achieves an accuracy of 97.5 percent, 85.5 percent and 97 percent for Compatibility, Proximity and Expectancy respectively. The result analysis proves that our model gives better performance.
Students are provided with slides through Google Classroom. Important course materials are also sent to students via email.