Scopus Indexed Publications
Paper Details
- Title
- Machine Learning based Book reading level Prediction in Bangladesh
- Author
- Israt Jahan, Sharmin Akter, Sunzida Siddique, Tapasy Rabeya,
- Abstract
- Bangladesh is called the most densely populated country. The most potent weapon for changing a person and the planet is a book. The majority of Bangladeshis read a variety of literature. The habit of reading has an impact on one's development as well as social progress in general. Now a days in Bangladesh, the rising of book reading among students is become growing. The paper's key is to identify the reading level of students that started during the Covid-19 pandemic period. This study looked at the reading levels of Bangladeshi students using machine learning techniques. The Xgb boost algorithm's closeness was determined to play the most important function in predicting reading level detection in this paper.
- Keywords
- Bangladesh , reading level , Covid-19 , machine learning , Xgb boost
- Journal or Conference Name
- 2021 IEEE 6th International Conference on Computing, Communication and Automation (ICCCA)
- Publication Year
- 2021
- Indexing
- scopus