Industrial type recognition method and system based on big data and keywords, and equipment
A type recognition and keyword technology, applied in the field of information processing, can solve problems such as low accuracy and coverage, single recognition method, heavy repetitive workload, etc., and achieve the effect of improving accuracy and coverage, and improving recognition efficiency
Pending Publication Date: 2021-02-26
HANGZHOU ANHENG INFORMATION TECH CO LTD
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However, the above-mentioned first scheme has low recognition efficiency, large amount of repetitive work, single recognition method, high error rate, and increased labor costs. Although the second scheme can reduce costs, its accuracy and coverage are still not tall
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[0049] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.
[0050] see figure 1 As shown, an industry type identification method based on big data and keywords disclosed in the embodiment of the present application includes:
[0051] S101: Obtain industry characteristic information of the target network asset unit to be identified, the industry characteristic information including unit name, unit nature, domain name and industry initial value;
[0052]In the embodiment of this application, the industry characteristic information of the targ...
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The invention discloses an industry type recognition method and system based on big data and keywords, electronic equipment and a storage medium, and the method comprises the steps of obtaining the industry feature information of a to-be-recognized target network asset unit, respectively carrying out the forward matching and reverse matching of a unit name, a unit property, a domain name and an industry initial value, and adding a corresponding industry type label to the target network asset unit; and obtaining a target industry type label of the target network asset unit through deduplicationand aggregation processing based on all the industry type labels so as to determine the industry type of the target network asset unit. According to the invention, after the industry feature information of the to-be-identified target network asset unit is obtained, forward matching and reverse matching are carried out on the industry feature information respectively, and the corresponding industry type label is added to the target network asset unit, so that the final industry type identification result is obtained, the identification accuracy and coverage rate are improved, the labor cost isnot consumed, and the recognition efficiency is improved.
Description
technical field [0001] The present application relates to the field of information processing technology, more specifically, to a method and system for identifying industry types based on big data and keywords, an electronic device, and a computer-readable storage medium. Background technique [0002] In traditional technology, two methods are usually used to identify industry types: one is to identify through a single HTML keyword supplemented by secondary verification through manual research and judgment; the other is to pre-set the scoring rule model of each industry , set basic rules and word segmentation matching for quick recognition. However, the above-mentioned first scheme has low recognition efficiency, large amount of repetitive work, single recognition method, high error rate, and increased labor costs. Although the second scheme can reduce costs, its accuracy and coverage are still not tall. [0003] Therefore, how to solve the above problems is what those ski...
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Login to View More IPC IPC(8): G06F16/2457G06F16/28
CPCG06F16/24573G06F16/284
Inventor 崔哲恺范渊杨勃
Owner HANGZHOU ANHENG INFORMATION TECH CO LTD