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Text multi-label classification method and device, equipment and storage medium

A classification method and multi-label technology, applied in text database clustering/classification, neural learning methods, text database query, etc., can solve problems such as text multi-label classification, and achieve the effect of improving classification accuracy

Pending Publication Date: 2021-11-23
广州永链信息技术有限责任公司
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AI Technical Summary

Problems solved by technology

[0004] The main purpose of the present invention is to solve the problem of text multi-label classification

Method used

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  • Text multi-label classification method and device, equipment and storage medium
  • Text multi-label classification method and device, equipment and storage medium
  • Text multi-label classification method and device, equipment and storage medium

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Embodiment Construction

[0034] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0035] The invention provides a text multi-label classification device.

[0036] Such as figure 1 As shown, the device for text multi-label classification may include a processor 1001 , such as a CPU, a communication bus 1002 , a user interface 1003 , a network interface 1004 , and a memory 1005 . Wherein, the communication bus 1002 is used to realize connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface and a wireless interface. Optionally, the network interface 1004 may include a standard wired interface and a wireless interface (such as a WI-FI interface). The memory 1005 can be a high-speed RAM memory, or a stable memory (n...

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Abstract

The invention relates to the technical field of text classification, and discloses a text multi-label classification method and device, equipment and a storage medium. The text multi-label classification method comprises the following steps: obtaining a readable text file which is uploaded by each computer terminal and contains sensitive information; extracting multi-source information of the readable text file, and performing vector coding on the multi-source information to obtain a multi-source information vector; inputting the multi-source information vector into a multi-source information fusion network of a preset text multi-label classification model for public feature extraction, and outputting a plurality of public feature vectors; and inputting the plurality of common feature vectors into a multi-head classification network of the text multi-label classification model for multi-label classification, and outputting multi-label classification corresponding to the readable text file. The method is a technology for analyzing the sensitive information of the enterprise, which aims at being rapid, automatic, free of manual contact, high in confidentiality and strong in capability, and the sensitive information text is subjected to multi-label classification.

Description

technical field [0001] The present invention relates to the field of text classification, in particular to a text multi-label classification method, device, equipment and storage medium. Background technique [0002] The traditional method is aimed at the multi-label classification of sensitive information texts of enterprises. The main strategy is to gather a large number of experts in the enterprise or in the field to sort out and summarize. However, due to the specialization, polymorphism, unstructured, and scattered , mass and other characteristics. The traditional method has the following four disadvantages: First, different personnel may have professional biases in judging sensitive information due to experience factors; second, the massive characteristics make the labor cost of the classification process rise exponentially; third, scattered and Polymorphism is likely to be identified as an omission, and it will not achieve accurate goals for subsequent actions such a...

Claims

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Application Information

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IPC IPC(8): G06F16/35G06F16/33G06N3/04G06N3/08
CPCG06F16/35G06F16/3335G06N3/084G06N3/045
Inventor 詹作保沈维发陈科研
Owner 广州永链信息技术有限责任公司
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