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A Survey: Credit Sentiment Score Prediction

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

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.

Suggested Citation

  • A. N. M. Sajedul Alam & Junaid Bin Kibria & Arnob Kumar Dey & Zawad Alam & Shifat Zaman & Motahar Mahtab & Mohammed Julfikar Ali Mahbub & Annajiat Alim Rasel, 2022. "A Survey: Credit Sentiment Score Prediction," Papers 2209.15293, arXiv.org.
    • Handle: RePEc:arx:papers:2209.15293
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    File URL: http://arxiv.org/pdf/2209.15293
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