A Survey: Credit Sentiment Score Prediction
Alam, A. N. M. Sajedul, Kibria, Junaid Bin, Dey, Arnob Kumar, Alam, Zawad, Zaman, Shifat, Mahtab, Motahar, Mahbub, Mohammed Julfikar Ali, Rasel, Annajiat Alim
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Sep-30-2022
- Country:
- North America > United States
- Hawaii (0.04)
- Asia
- Indonesia > Bali (0.04)
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- Dhaka District > Dhaka (0.04)
- North America > United States
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- Research Report > New Finding (1.00)
- Overview (1.00)
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