The International University of Scholars, popularly known as University of Scholars, has started its journey in 2015 with five departments at the outset. The Trustee Board of the university aims to establish a research-intensive modern private university for Bangladeshi as well as international students which will produce world-class researchers and industry leading professionals. The university is working with the slogan- We Build Professionals, and following American curriculum with strong emphasis on the use of technology for teaching and learning process. Therefore, we are adopting the newest educational technologies (EdTech) to modernize our Learning Management System (LMS) for the best experience of learning as well as teaching. This is the first initiative of such kind in Bangladesh. Our congenial atmosphere and flexible policy inspire the faculty members who are highly qualified having academic degrees and professional training from home and abroad.
Hossain, T., Kabir, A. A. N., Ratul, M. A. H., & Sattar, A. (2022, March). Sentence Level Sentiment Classification Using Machine Learning Approach in the Bengali Language. In 2022 International Conference on Decision Aid Sciences and Applications (DASA) (pp. 1286-1289). IEEE. Abstract:In recent times, sentiment analysis is one of the most important aspects of machine learning research. However, many context-aware systems have developed based on the English language, which can automatically process the English language to make a clear emotion. However, much less work has done on Bengali than that. The main reason for this is the lack of an accurate Bengali dataset. In our works, we have used a unique dataset. The data is mainly various comments made by people through online news portals and social media. Humans collect those and maximum awareness sought while labeling the emotions. All data labeled into positive (1) and negative (0) emotions. Our main objective in this research is to build a Bengali context-aware system using various supervised machine-learning algorithms that can easily find out the emotions of any Bengali language. For this, we used K-Nearest Neighbors (KNN), Decision Tree (DT), Logistic Regression (LR), Support Vector Classifier (SVC), Multinomial Naïve Bayes (MNB), and Random Forest (RF) algorithm. Among them, the Random Forest (RF) algorithm generates the maximum accuracy that is 67.34 %.
The International University of Scholars, popularly known as the University of Scholars