Accurate analysis method and system for enterprise industry segmentation based on big data

Abstract

The present invention relates to an accurate analysis method and system for enterprise industry segmentation based on big data. The method comprises: establishing an industry database in line with investment attributes; searching relevant information websites by using the full name of the enterprise, and obtaining return content by searching; and carrying out accurate analysis on the return content by searching, and obtaining key words of the corresponding investment attributes; and matching, collecting statistics in group of, and labeling the key words. According to the method and system disclosed by the present invention, by establishing the industry database in line with the investment attributes, and by using the a big data distributed parallel computing architecture, accurate extraction, matching and grouping of key words are carried out on mass data; and corresponding enterprises are screened by using the statistical method, so that batch screening of enterprises by the equity investment institution is facilitated, efficiency for the equity investment institution to obtain investment targets is improved, and the cost is low.

Description

technical field [0001] The present invention relates to the technical field of big data analysis, and more specifically refers to a method and system for precise analysis of enterprise subdivision industries based on big data. Background technique [0002] Industry segmentation is the process of dividing the business field according to a certain method, and on the basis of the subdivision, the method of industry analysis is further applied to the business field, so as to provide a basis for the formulation of the company's business strategy. Industry segmentation is a method of analyzing the internal structure of the industry, which can help enterprises choose specific business areas. The essence of industry segmentation is that enterprises combine the production areas (products or services) and market areas of the entire industry according to the needs of their own strategy formulation. (Customers or users) are divided according to a number of specific variables and then co...

AI Technical Summary

Problems solved by technology

[0003] The analysis of the subdivided industries of enterprises is helpful for equity investment institutions to find enterprises in line with their own investment direction. However, the current analysis of subdivided industries of enterprises can only be done through manual analysis, and cannot be analyzed through the name of the enterprise or the business scope of the enterprise. The attributes of the investment industry and the main products. In this way, equity investment institutions can only rely on manual research, recommendations from Moments of Friends, or cooperation with third parties to find investment targets, which is inefficient and accurate.

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