Classification and Resource Generation for Bangla Emails Based on Machine Learning Algorithms
Md. Tariqul Islam, K. M. Azharul Hasan, Md. Ibrahim Hossen · 2022
Classification of emails is an important research issue since a huge number of emails are received every day. Emails become a most objective correspondence with others. Billions of emails that are sent per day all over the world become threatening to people. A spam email can be used to pick up things from our electrical gadgets by forcing or phishing. Besides that, we receive several other less important emails. Bangla emails are very common nowadays that are facing similar problems. But due to less collection of Bangla emails important emails are not correctly classified and the receiver missed them. Considering English or other important languages, there are accessible approaches to distinguishing the emails. In this paper, we propose a classification scheme for emails written in the Bangla language. We create a Bangla email dataset and propose a multilevel classification. We found the distinguished features to classify them. Important machine learning algorithms are used to classify them.