... of this study offer practical insights for product improvement in the steel industry and provide new directions for future research on few-shot learning and domain-specific models, with potential applications in other fields. Currently, existing text classification methods can be broadly categorized into rule...

... the popularity and novelty information, and a multi-information integration module is proposed to effectively fuse them with the textual information. © Emerald Publishing Limited 2024 Emerald Publishing Limited Licensed re-use rights only Propaganda detection Text classification External news...

... Emerald Publishing Limited Licensed re-use rights only Fake news Transfer learning Classification Transformers Gradient boosting Text classification Twitter Table 1. Commonly used data sets for fake news detection S. no. Data set name No. of rows Sources 1 LIAR...

...Mariem Bounabi; Karim Elmoutaouakil; Khalid Satori Purpose This paper aims to present a new term weighting approach for text classification as a text mining task. The original method, neutrosophic term frequency – inverse term frequency (NTF-IDF), is an extended version of the popular fuzzy TF-IDF...