Enterprise risk evaluation system and method based on open source data

Abstract

The invention discloses an enterprise risk evaluation system and method based on open source data. The system comprises: a data crawling module which can crawl data related to a to-be-evaluated enterprise from a webpage; a data word segmentation module which can perform word segmentation processing on the crawled data and count word frequency; a scoring module which is used for judging according to segmented words obtained by word segmentation processing and word frequencies thereof, wherein the scoring module comprises a plurality of sub-modules, each sub-module evaluates one aspect of factors influencing the development prospect of the enterprise to finally obtain a reasonable enterprise score, the risk of the enterprise can be judged according to the score, and judgment and comparison can also be carried out according to the difference of the scores of different enterprises.

Description

technical field [0001] The invention relates to an enterprise data analysis and processing system, in particular to an enterprise risk evaluation system and method based on open source data. Background technique [0002] With the advent of the era of big data, people pay more and more attention to judging or dealing with difficult problems through data analysis. Among them, simple statistics and summation are relatively easy to understand and deal with. If the relationship between the known data and the required results When the corresponding relationship between them is not obvious, it is often necessary to perform statistical processing through a special program or device, but how to deal with it and what kind of computing device is used for calculation is rarely involved in the prior art; [0003] Specifically, there are a huge number of enterprises and companies in modern society, and the quality of each enterprise and company varies. Before making major decisions such a...

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the above-mentioned problems, the inventors have carried out dedicated research and designed an enterprise risk evaluation system and method based on open source data; Divide the various enterprise risk-related content involved in the information into multiple major categories, and set multiple sub-categories under the major categories for evaluation separately, so as to obtain more scientific and reasonable results after comprehensive evaluation. Since the factors considered are comprehensive enough, the final results are naturally more reasonable and accurate, and the evaluation process is relatively fast, which can meet the needs of various users. Among them, the system includes a data crawling module, which can crawl from web pages The data related to the enterprise to be evaluated, the data word segmentation module, can perform word segmentation processing on the crawled data, and count the word frequency; it also includes a scoring module, which is used to judge according to the word segmentation and word frequency obtained by the word segmentation processing. The module includes several sub-modules, and each sub-module evaluates one aspect of the factors that affect the development prospects of the enterprise, and finally obtains a reasonable enterprise score. The risk of the enterprise can be judged according to the score, and the difference between the scores of different enterprises can also be used. to judge and compare, thereby completing the present invention

Images