The invention relates to an enterprise credit assessment method based on the big data mining technology. The method includes the following steps that 1, credit information of an enterprise to be assessed is divided into five perspectives of basic assessment, human resources, products, after-sales services and outstanding payment, and multiple assessment keywords are set in each perspective; 2, all the assessment keywords of the enterprise to be assessed are acquired from multiple search engines through a crawler method, duplication eliminating is conducted through a fuzzy character string matching method, and the numbers of times that all the assessment keywords in all the perspectives appear are acquired; 3, each perspective is subjected to weighted grading according to the numbers of times that all the assessment keywords in all the perspectives appear, and normalization processing is conducted; 4, the grade obtained after the five perspectives of the enterprise to be assessed are normalized is displayed through a five-digit radar map. Compared with the prior art, the enterprise credit assessment method has the advantages that time is saved, data is comprehensive, consideration is comprehensive, and display is visual.