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Classification detection method, device and equipment and storage medium

A technology for classification detection and classification results, applied in the field of data processing, can solve the problem of high error rate of entity classification, and achieve the effect of overcoming high error rate and improving accuracy

Active Publication Date: 2020-08-14
RUN TECH CO LTD BEIJING
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention provides a classification detection method, device, equipment and storage medium to overcome the problem of high error rate of entity classification in the prior art

Method used

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  • Classification detection method, device and equipment and storage medium
  • Classification detection method, device and equipment and storage medium
  • Classification detection method, device and equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0025] figure 1 It is a flow chart of a classification detection method provided by Embodiment 1 of the present invention. This embodiment is applicable to the case of detecting the classification of entity labels in the knowledge base. This method can be executed by the classification detection device provided by the embodiment of the present invention. The device can be implemented in the form of software and / or hardware, and generally can be integrated in computer equipment, specifically including the following steps:

[0026] Step 110, acquiring target data and target tags corresponding to the target entity.

[0027] Wherein, the target data includes the first attribute information of the target entity; the target label is a label currently marked by the target entity.

[0028] A knowledge base is a database that stores knowledge structured in the form of triples, and is used for structured storage of massive knowledge in a certain field or industry. For example, a charac...

Embodiment 2

[0041] figure 2 It is a flowchart of a classification and detection method provided by Embodiment 2 of the present invention. The technical solution of this embodiment is further refined on the basis of the above-mentioned technical solution, and specifically mainly includes the following steps:

[0042] Step 210, acquire the sample entity and the first sample data corresponding to the sample label.

[0043] Wherein, the sample label is a label currently marked by the sample entity.

[0044] Step 220, acquiring sample entities and second sample data corresponding to tags other than the sample tag.

[0045] Wherein, both the first sample data and the second sample data include the second attribute information of the sample entity.

[0046]For example, both the first sample data and the second sample data are data represented by SPO triplets. Assuming that the sample label is a person, the sample entities that need to be obtained are all entities whose tag is marked as a per...

Embodiment 3

[0077] image 3 Shown is a structural diagram of a classification and detection device provided in Embodiment 3 of the present invention. This embodiment is applicable to the case of detecting the classification of entity tags in the knowledge base. This method can be implemented by the classification and detection device provided in the embodiment of the present invention. Execution, the device can be implemented in software and / or hardware, and generally can be integrated in computer equipment, such as image 3 As shown, the classification detection device specifically includes a first acquisition module 310 , a second acquisition module 320 , a first determination module 330 and a second determination module 340 .

[0078] Wherein, the first acquiring module 310 is configured to acquire target data and target tags corresponding to the target entity; the target data includes first attribute information of the target entity; the target tag is a tag currently marked by the tar...

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PUM

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Abstract

The invention discloses a classification detection method, device and equipment and a storage medium. The method comprises the steps of obtaining target data and a target label corresponding to a target entity; wherein the target data comprises first attribute information of the target entity; wherein the target label is a label currently marked by the target entity; obtaining a classification contribution value associated with the first attribute information; wherein the classification contribution value is used for measuring the contribution degree of the first attribute information to the target entity classification; determining a classification result of the target entity according to the classification contribution value; and determining whether the classification of the target entity is correct or not according to the classification result of the target entity and the target label. By means of the method, the beneficial effect of improving the accuracy of entity classification can be achieved, and the problem that in the prior art, the error rate of entity classification is high is solved.

Description

technical field [0001] Embodiments of the present invention relate to data processing technology, and in particular to a classification detection method, device, equipment and storage medium. Background technique [0002] The knowledge base is a collection of facts, laws and concepts obtained after in-depth processing, abstraction, and analysis of data. With the rapid growth of data volume, the construction of knowledge base has gradually changed from relying on a large number of experts to design and formulate rules, to using machine learning for automatic or semi-automatic knowledge processing, processing, fusion and application. In the process of machine learning and other algorithms replacing experts, how to ensure the quality of knowledge is an important issue. Knowledge quality refers to the completeness of knowledge data structure, the authenticity and consistency of data. High-quality knowledge is the basis for in-depth analysis, mining, and reasoning, and determin...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/33G06F16/35G06F40/295G06F40/30G06N5/02
CPCG06F16/3344G06F16/35G06F40/295G06F40/30G06N5/022
Inventor 刘红谢永恒张鹏毅陈冬霞王梅崔样洋汪金苗王淑萍
Owner RUN TECH CO LTD BEIJING