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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...

Deskribapen osoa

Gorde:
Egile Nagusiak: Pfarelo Raliphada, Seun Olukanmi, Micheal Olusanya
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Frontiers Media S.A. 2026-05-01
Saila:Frontiers in Artificial Intelligence
Gaiak:
BERT
classification
credit risk
LLaMA
Natural Language Processing (NLP)
RoBERTa
Sarrera elektronikoa:https://www.frontiersin.org/articles/10.3389/frai.2026.1819994/full
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