1 code implementation • 13 Jul 2023 • Arman Sakif Chowdhury, G. M. Shahariar, Ahammed Tarik Aziz, Syed Mohibul Alam, Md. Azad Sheikh, Tanveer Ahmed Belal
In this paper, we propose a methodology consisting of four distinct approaches to classify fake news articles in Bengali using summarization and augmentation techniques with five pre-trained language models.
1 code implementation • 8 Apr 2023 • Tanveer Ahmed Belal, G. M. Shahariar, Md. Hasanul Kabir
This paper presents a deep learning-based pipeline for categorizing Bengali toxic comments, in which at first a binary classification model is used to determine whether a comment is toxic or not, and then a multi-label classifier is employed to determine which toxicity type the comment belongs to.