Transformer-based NLP approaches for credit risk prediction: a systematic review

IntroductionThis study systematically reviews transformer based Natural Language Processing (NLP) and Large Language Model (LLM) approaches for credit risk prediction, addressing limitations of traditional structured data credit scoring models.MethodsA PRISMA guided systematic literature review was...

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Auteurs principaux:	Pfarelo Raliphada, Seun Olukanmi, Micheal Olusanya
Format:	Artigo
Langue:	Inglês
Publié:	Frontiers Media S.A. 2026-05-01
Collection:	Frontiers in Artificial Intelligence
Sujets:	BERT classification credit risk LLaMA Natural Language Processing (NLP) RoBERTa
Accès en ligne:	https://www.frontiersin.org/articles/10.3389/frai.2026.1819994/full
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