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Subject extraction method and device based on artificial intelligence, electronic equipment and medium

A technology of artificial intelligence and extraction method, which is applied in the fields of electrical digital data processing, instruments, and computing, and can solve problems such as inaccurate subjects and achieve the effect of improving accuracy.

Pending Publication Date: 2022-04-26
PINGAN PUHUI ENTERPRISE MANAGEMENT CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The topic extraction model is usually trained by unsupervised learning, which determines the semantic category of the text according to the distance of the representation space. However, different topics often overlap in the representation space, resulting in inaccurate extracted topics.

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  • Subject extraction method and device based on artificial intelligence, electronic equipment and medium
  • Subject extraction method and device based on artificial intelligence, electronic equipment and medium
  • Subject extraction method and device based on artificial intelligence, electronic equipment and medium

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Embodiment Construction

[0055] The embodiments of the present application may acquire and process relevant 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 digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results. .

[0056] Artificial intelligence basic technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing technology, operation / interaction systems, and mechatronics. Artificial intelligence software technology mainly includes computer vision technology, robotics technology, biometrics technology, speech processing technology, natural language processing technology, and machine learning / deep learning.

[0057] In order to make the object, technica...

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PUM

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Abstract

The invention relates to the field of artificial intelligence, and discloses an artificial intelligence-based topic extraction method, which comprises the following steps of: executing data enhancement processing on a sample set to obtain an enhanced sample set; dividing the enhanced sample set into a positive sample pair and a negative sample pair, and determining a first loss function based on the similarity between the feature vectors of the positive sample pair and the dissimilarity between the feature vectors of the negative sample pair; inputting the feature vector of each sample in the enhanced sample set into a topic extraction network of the topic extraction model, and determining a second loss function based on an output topic extraction result; determining structural parameters of the topic extraction model by minimizing a total loss function obtained by summing the first loss function and the second loss function; and inputting the character vector of each character in the to-be-processed text into the trained topic extraction model to obtain a target topic. The invention further provides a theme extraction device based on artificial intelligence, electronic equipment and a medium. The subject extraction accuracy is improved.

Description

technical field [0001] The present invention relates to the field of artificial intelligence, in particular to an artificial intelligence-based subject extraction method, device, electronic equipment and medium. Background technique [0002] With the advent of the information age, massive amounts of information are pouring in, how to find interesting information from the massive amount of information? Currently, topic extraction is usually performed on information through a topic extraction model, so as to filter interesting information according to the extracted topics. [0003] The topic extraction model is usually trained by unsupervised learning, which determines the semantic category of the text according to the distance in the representation space. However, different topics often overlap in the representation space, resulting in inaccurate extracted topics. Therefore, there is an urgent need for a topic extraction method to improve the accuracy of topic extraction. ...

Claims

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Application Information

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IPC IPC(8): G06F40/258G06F40/284G06F40/30
CPCG06F40/258G06F40/284G06F40/30
Inventor 刘欢
Owner PINGAN PUHUI ENTERPRISE MANAGEMENT CO LTD