This project aims to build a multi-class text classification model for consumer complaint narratives.It categorizes complaints into four classes: Credit Reporting, Debt Collection, Consumer Loan, and ...

Abstract This study addresses the growing demand for news text classification driven by the rapid expansion of internet information by proposing a classification algorithm based on a Bidirectional ...

Abstract: Text classification has been widely explored in natural language processing. In this article, we propose a novel adaptive dense ensemble model (AdaDEM) for text classification, which ...

Despite advancements in large language models, lightweight text classification via these models still demands substantial computational resources. Therefore, this paper presents a multiscale ...

A significant advantage of generative methods for abstractive rationalization is that they require significantly fewer human-annotated examples for training an explainable text classification model ...

Keywords: text data, machine learning, deep learning, text classification, text categorization Citation: Alqahtani A, Ullah Khan H, Alsubai S, Sha M, Almadhor A, Iqbal T and Abbas S (2022) An ...