Text classification method and device based on artificial intelligence, electronic equipment and medium

A text classification and artificial intelligence technology, applied in the field of artificial intelligence, can solve the problems of low accuracy and efficiency of text classification results, unable to quickly and accurately find the optimal text enhancement strategy, consuming a lot of manpower and time, etc. Accuracy, ensuring completeness, and improving the effect of accuracy

Pending Publication Date: 2021-12-14
PING AN TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, the existing technology requires a lot of manpower and time to mark text. At the same time, it is necessary to manually set some hyperparameters when performing text enhancement. The hyperparameters are obtained through manual experience and a large number of comparative experiments, and cannot be fast and accurate in text enhancement. Find the optimal text enhancement strategy, resulting in low accuracy and efficiency of text classification results

Method used

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  • Text classification method and device based on artificial intelligence, electronic equipment and medium
  • Text classification method and device based on artificial intelligence, electronic equipment and medium
  • Text classification method and device based on artificial intelligence, electronic equipment and medium

Examples

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Embodiment 1

[0050] figure 1 It is a flow chart of the text classification method based on artificial intelligence provided by Embodiment 1 of the present invention.

[0051] In this embodiment, the artificial intelligence-based text classification method can be applied to electronic equipment, and for electronic equipment that needs to perform artificial intelligence-based text classification, the electronic equipment based on the method provided by the method of the present invention can be directly integrated on the electronic equipment. The text classification function of artificial intelligence, or run in the electronic device in the form of a software development kit (Software Development Kit, SDK).

[0052] The embodiments of the present invention can acquire and process related data based on artificial intelligence technology. Among them, artificial intelligence (AI) is the theory, method, technology and application system that uses digital computers or machines controlled by digi...

Embodiment 2

[0101] figure 2 It is a structural diagram of an artificial intelligence-based text classification device provided in Embodiment 2 of the present invention.

[0102] In some embodiments, the artificial intelligence-based text classification device 20 may include a plurality of functional modules composed of program code segments. The program codes of each program segment in the text classification device 20 based on artificial intelligence can be stored in the memory of the electronic device, and executed by the at least one processor to execute (see for details figure 1 Description) features for AI-based text classification.

[0103] In this embodiment, the text classification device 20 based on artificial intelligence can be divided into multiple functional modules according to the functions it performs. The functional modules may include: an analysis module 201 , a selection module 202 , a text enhancement module 203 , a first input module 204 , a verification module 205...

Embodiment 3

[0150] refer to image 3 As shown in , it is a schematic structural diagram of the electronic device provided by Embodiment 3 of the present invention. In a preferred embodiment of the present invention, the electronic device 3 includes a memory 31 , at least one processor 32 , at least one communication bus 33 and a transceiver 34 .

[0151] Those skilled in the art should understand that, image 3 The structure of the electronic device shown does not constitute a limitation of the embodiment of the present invention, it can be a bus structure or a star structure, and the electronic device 3 can also include more or less other hardware than shown in the figure Or software, or a different arrangement of components.

[0152] In some embodiments, the electronic device 3 is an electronic device that can automatically perform numerical calculation and / or information processing according to preset or stored instructions, and its hardware includes but not limited to microprocessor...

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PUM

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Abstract

The invention relates to the technical field of artificial intelligence, and provides a text classification method and device based on artificial intelligence, electronic equipment and a medium. Adopting a preset search strategy to randomly select a target text enhancement strategy; performing text enhancement on the original text set by using a target text enhancement strategy to obtain a first enhanced text set; calculating a verification passing rate according to the original text set and the first enhanced text set; determining a target text classification model and an optimal text enhancement strategy; and performing text enhancement on the to-be-classified text set by adopting the optimal text enhancement strategy to obtain a third enhanced text set, and inputting the third enhanced text set and the to-be-classified text set into the target text classification model to obtain a text classification result. According to the method, the optimal text enhancement strategy is searched for each data set in a customized manner by constructing the search space and adopting the preset search strategy, so that the text classification accuracy is improved.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to an artificial intelligence-based text classification method, device, electronic equipment and media. Background technique [0002] Text classification task is one of the most important tasks in natural language processing. At present, deep learning models have been widely used in text classification tasks, such as CNN, RNN and other models, which perform text enhancement after labeling a large amount of text. [0003] However, the existing technology requires a lot of manpower and time to mark text. At the same time, some hyperparameters need to be manually set when performing text enhancement. The hyperparameters are obtained through manual experience and a large number of comparative experiments, and cannot be fast and accurate in text enhancement. Finding the optimal text enhancement strategy leads to low accuracy and efficiency of text classification ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/35G06N3/02G06N3/08
CPCG06F16/353G06N3/02G06N3/08
Inventor 孙金辉马骏王少军
Owner PING AN TECH (SHENZHEN) CO LTD
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