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Method and system for extracting enterprise tags based on enterprise introduction texts

An enterprise and labeling technology, applied in the field of information processing, can solve problems such as the influence of subjective factors, and achieve the effects of accurate extraction, alleviating noise problems, and avoiding labor costs

Pending Publication Date: 2021-03-30
SHANGHAI MININGLAMP ARTIFICIAL INTELLIGENCE GRP CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The embodiment of the present application provides a method for extracting enterprise labels based on enterprise profile text, so as to at least solve the problem of subjective factors in related technologies

Method used

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  • Method and system for extracting enterprise tags based on enterprise introduction texts
  • Method and system for extracting enterprise tags based on enterprise introduction texts
  • Method and system for extracting enterprise tags based on enterprise introduction texts

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0064] refer to Figure 1 to Figure 4 As shown, this example discloses a specific implementation of a method for extracting enterprise tags based on enterprise profile text (hereinafter referred to as "method").

[0065] Specifically refer to figure 1 As shown, the method disclosed in this embodiment mainly includes the following steps:

[0066] Step S1, selecting a first candidate enterprise label based on the enterprise label dictionary.

[0067] Specifically, in some of these examples, reference figure 2 As shown, step S1 specifically includes the following steps:

[0068] S11. Collect the tag words commonly used by the enterprise, and establish the tag dictionary of the enterprise;

[0069] S12. Match the continuous substrings of the enterprise profile text with the enterprise tag dictionary, and use the matched word as the first candidate enterprise tag.

[0070] Specifically, in some of these embodiments, commonly used tag words of enterprises are manually collecte...

Embodiment 2

[0091] In combination with the method for extracting enterprise labels based on enterprise profile text disclosed in Embodiment 1, this embodiment discloses a specific implementation example of a system for extracting enterprise labels based on enterprise profile text (hereinafter referred to as "system").

[0092] refer to Figure 5 As shown, the system includes:

[0093] Selection module 10 selects the first candidate enterprise label based on the enterprise label dictionary;

[0094] Screening module 20, screens out the second candidate enterprise label from the enterprise profile text through feature calculation;

[0095] The merging module 30 is configured to merge the first candidate enterprise label and the second candidate enterprise label to obtain a final enterprise label.

[0096] Specifically, in some of these embodiments, the selection module 10 specifically includes:

[0097] The dictionary building unit 11 collects tag words commonly used by enterprises and e...

Embodiment 3

[0110] combine Figure 6 As shown, this embodiment discloses a specific implementation manner of a computer device. The computer device may comprise a processor 81 and a memory 82 storing computer program instructions.

[0111] Specifically, the processor 81 may include a central processing unit (CPU), or an Application Specific Integrated Circuit (ASIC for short), or may be configured to implement one or more integrated circuits in the embodiments of the present application.

[0112] Among them, the memory 82 may include mass storage for data or instructions. For example without limitation, the memory 82 may include a hard disk drive (Hard Disk Drive, referred to as HDD), a floppy disk drive, a solid state drive (SolidState Drive, referred to as SSD), flash memory, optical disk, magneto-optical disk, magnetic tape or universal serial bus (Universal Serial Bus, referred to as USB) drive or a combination of two or more of the above. Storage 82 may comprise removable or non-r...

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Abstract

The invention discloses a method and a system for extracting enterprise tags based on an enterprise brief introduction text. The method comprises the following steps: selecting a first candidate enterprise tag based on an enterprise tag dictionary; screening out a second candidate enterprise tag from the enterprise brief introduction text through feature calculation; and combining the first candidate enterprise tag and the second candidate enterprise tag to obtain a final enterprise tag. Through the method and ssytem, the enterprise tag can be extracted from the enterprise brief introduction text, so that the extraction of the enterprise tag is more accurate, common combined words can also be contained, the tag information can better express the information of the enterprise, and the experience of people is improved.

Description

technical field [0001] The invention belongs to the field of information processing. More specifically, the present invention relates to a method and system for extracting enterprise tags based on enterprise profile text. Background technique [0002] Over the years, with the development of the economy, the scale of enterprises has grown rapidly, and people urgently need a quick way to know and understand enterprises, and enterprise labels can help people quickly obtain important information about enterprises. Corporate labels usually represent corporate brand, culture, honor, etc. People can quickly know the company and find the right company by understanding the corporate label. Therefore, constructing enterprise labels can bring great convenience to social production and human work. [0003] At present, most enterprise labels are manually written by enterprise personnel, usually with incomplete coverage and high labor costs, and for many lesser-known enterprises, there ...

Claims

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Application Information

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IPC IPC(8): G06F16/35G06F40/242G06F40/289
CPCG06F16/353G06F40/289G06F40/242
Inventor 张文剑薛小娜付骁弈
Owner SHANGHAI MININGLAMP ARTIFICIAL INTELLIGENCE GRP CO LTD
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