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Dynamic classification analysis method and system for enterprises

A dynamic classification and analysis method technology, applied in the direction of instruments, character and pattern recognition, data processing applications, etc., can solve problems affecting accuracy, business changes, industry division solidification, etc., to reduce candidate calculation dimensions and reduce calculation overhead , the effect of reliable classification results

Inactive Publication Date: 2020-04-24
成都数联铭品科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The existing industry classification of enterprises is mainly based on the business scope data in the industrial and commercial registration, and according to industry standards such as the industry classification of the China Securities Regulatory Commission and Wind industry classification; the industry classification is relatively fixed, and the basis is relatively single
However, as the market situation changes rapidly, such a classification method cannot reflect the real industry situation of the company. Many companies implement a diversified development strategy, and their business may span multiple industries; and the main business of the company may change over time. Changes, for example, the business of some enterprises will undergo drastic changes after being backdoored
The current method cannot well reflect the real situation of each enterprise, which affects the accuracy of subsequent analysis and judgment

Method used

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  • Dynamic classification analysis method and system for enterprises
  • Dynamic classification analysis method and system for enterprises
  • Dynamic classification analysis method and system for enterprises

Examples

Experimental program
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Effect test

Embodiment 1

[0067] For example, the financial reports of listed companies will announce the main product income and main product composition. We use the main product income composition as its main product composition. However, the names of these products are different, such as wooden doors, logs, wooden floors, wooden foot barrels and other products are all wood and wood products. If you directly use these product names to find comparable companies of the company, it may be difficult for some companies to find comparable companies. Therefore, all product names are clustered first.

[0068] For example, we obtained the main products in the annual reports of all listed companies, and obtained 15,000 product names after deduplication. Further analysis shows that there are 2,000 different characters in the 15,000 product names, and these characters are numbered. Use TF-IDF to number all words. TF-IDF consists of two parts, TF and IDF, where TF (term frequency) is the number of times the wo...

Embodiment 2

[0076] The above dynamic comparison sample set construction system, such as image 3 As shown, this embodiment also provides an electronic device, which may include a processor 51 and a memory 52 , where the memory 52 is coupled to the processor 51 . It is worth noting that this figure is exemplary and other types of structures may be used in addition to or instead of this structure.

[0077] Such as image 3 As shown, the electronic device may further include: an input unit 53 , a display unit 54 and a power supply 55 . It is worth noting that the electronic device does not have to include image 3 All parts shown in . In addition, electronic equipment can also include image 3 For components not shown in the figure, reference may be made to the prior art.

[0078] The processor 51 is also sometimes referred to as a controller or operating control, and may include a microprocessor or other processor devices and / or logic devices. The processor 51 receives inputs and contr...

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Abstract

The invention relates to a dynamic classification analysis method and a system for enterprises. The product type is redefined through clustering, the candidate calculation dimension is reduced, and the calculation overhead is reduced; the actual operation state of the enterprise is ingeniously fused into the representation vector of the enterprise; according to the method, scattered report information without comparability is converted into enterprise vector data which can be directly calculated and a gap of cross-domain data types, so that mechanical rapid processing of the data is realized,and the data analysis efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of natural language processing, in particular to a dynamic classification analysis method and system for an enterprise. Background technique [0002] In recent years, due to the continuous growth of data, applications based on big data and data mining have emerged in an endless stream. The demand for data analysis is also increasing. In securities regulation, financial auditing, financial investment and other fields, classification analysis is required in the analysis. We know that companies need to be classified in both the regulatory field and the investment field, and comparative analysis among companies of the same type is required. The existing industry classification of enterprises is mainly based on the business scope data in the industrial and commercial registration and industry standards such as the industry classification of the China Securities Regulatory Commission and Wind industry classificat...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06K9/62
CPCG06Q10/0637G06F18/23213G06F18/241
Inventor 康青杨刘世林张学锋
Owner 成都数联铭品科技有限公司
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