A Survey: Credit Sentiment Score Prediction

A. N. M. Sajedul Alam, Junaid Bin Kibria, Arnob Kumar Dey, Zawad Alam, Shifat Zaman, Motahar Mahtab, Mohammed Julfikar Ali Mahbub and Annajiat Alim Rasel

Papers from arXiv.org

Abstract: Manual approvals are still used by banks and other NGOs to approve loans. It takes time and is prone to mistakes because it is controlled by a bank employee. Several fields of machine learning mining technologies have been utilized to enhance various areas of credit rating forecast. A major goal of this research is to look at current sentiment analysis techniques that are being used to generate creditworthiness.

Date: 2022-09
New Economics Papers: this item is included in nep-ban, nep-big, nep-cmp and nep-rmg
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