A novel approach for Arabic business email classification based on deep learning machines.

ABSTRACT: During the last decades, the reliance on email communication, especially in business, has increased significantly. Companies receive a massive amount of emails daily, that include business inquiries, customers' feedback, and other types of emails. This inspired many researchers to propose different algorithms to classify and redistribute the numerous emails according to their content. Nowadays, emails containing Arabic text, especially in the Arab world, have raised an increasing concern since they became widely used in official correspondence. Nevertheless, just a small amount of literature focuses on Arabic text classification. Therefore, this work addresses Arabic business emails classification based on natural language processing (NLP). A dataset of 63,257 emails was used and the email

SUBMITTER: Masri A 

PROVIDER: S-EPMC10280450 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature