Applying Big Data Analytics in Social Media to Establish a Credit Risk Assessment Mechanism for Corporate Loans

• Main Authors: WANG,HONG-YUAN, 王宏元
• Other Authors: CHEN,YUH-JEN
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/z387gj

碩士 === 國立高雄第一科技大學 === 會計資訊系碩士班 === 106 === Corporate credit risk refers to the company's business performance, earnings quality and future prospects of a comprehensive index, but also on behalf of the company in the market evaluation and the status of the industry, but also more important for its ability to make financing and investment decisions. However, in the past, financial institutions in the assessment of corporate credit risk mostly based on corporate financial indicators or corporate governance indicators to measure and rating, but with the development of the Internet and the popularity of social media, online social media on the business Feeling and appealing more and more comments, which means that financial institutions have a different pipeline can be more effective and objective measure of corporate credit risk. The main purpose of this research is to establish a credit risk assessment mechanism for corporate loans by using big data analysis of online social media to help financial institutions effectively conduct risk assessment and control.This objective is achieved by the following: (i)design of a credit risk assessment process for corporate loans based on big data analytics in social media,(ii) development of credit risk assessment techniques for corporate loans based on big data analytics in social media,(iii) verification and evaluation of credit risk assessment methods for corporate loans in Data Analysis.