大数据 (Jan 2017)
Credit risk evaluation with text big data from text
Abstract
Banks have more text information pertaining to credit risk of enterprises.This information is more complete and standardized compared with that of individuals.Nevertheless,this incremental information of enterprise credit risk,which is contained in documents has not been effectively utilized by banks.The role of text big data on credit risk evaluation through annual reports and commentaries of crowds on networks was explored.It found that both the annual reports and crowds’ commentaries significantly contain the incremental information on credit risk of enterprises.