A Survey: Credit Sentiment Score Prediction

  title={A Survey: Credit Sentiment Score Prediction},
  author={A. N. M. Sajedul Alam and Junaid Bin Kibria and Arnob Kumar Dey and Zawad Alam and Shifat Zaman and Motahar Mahtab and Mohammed Julfikar Ali Mahbub and Annajiat Alim Rasel},
. 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. 

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