论文标题
调查：信用情感评分预测
A Survey: Credit Sentiment Score Prediction
论文作者
论文摘要
银行和其他非政府组织仍使用手动批准来批准贷款。它需要时间，并且容易出错，因为它是由银行员工控制的。机器学习挖掘技术的几个领域已被用来增强各个信用评级预测。这项研究的主要目的是研究用于产生信用性的当前情绪分析技术。
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.
