Unlock instant, AI-driven research and patent intelligence for your innovation.

BERT model-based information classification method and system

A classification method and classification system technology, applied in computing models, neural learning methods, biological neural network models, etc., can solve problems such as low efficiency and high cost, and achieve the goals of saving time and cost, improving accuracy, and improving information utilization. Effect

Pending Publication Date: 2021-08-24
BANK OF CHINA
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In order to further improve customer experience, mobile banking has added information functions. Considering that various new information will be generated every day, in order to better manage information, mobile banking needs to classify information according to information content; considering the amount of information data, relying solely on Manual methods are costly and inefficient

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • BERT model-based information classification method and system
  • BERT model-based information classification method and system
  • BERT model-based information classification method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0026] The principle and spirit of the present invention will be described below with reference to several exemplary embodiments. It should be understood that these embodiments are given only to enable those skilled in the art to better understand and implement the present invention, rather than to limit the scope of the present invention in any way. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0027] Those skilled in the art know that the embodiments of the present invention can be implemented as a system, device, device, method or computer program product. Therefore, the present disclosure may be embodied in the form of complete hardware, complete software (including firmware, resident software, microcode, etc.), or a combination of hardware and software.

[0028] According to an embodiment of the present invention, a BERT model-based information...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a BERT model-based information classification method and system, and relates to the technical field of natural language processing and machine learning, and the method comprises the steps: collecting information data, and preprocessing the information data; according to the preprocessed information data, utilizing a BERT model to extract text features, and utilizing LSTM to extract semantic information of the text features; according to the semantic information of the text features, enriching the semantic information with the weight larger than a first preset value, restraining the semantic information with the weight smaller than the preset value and building an information classification model; setting a training set and a test set according to the preprocessed information data, training the information classification model, and testing the training model by using the test set; and obtaining to-be-classified information data, and performing category division on the to-be-classified information data by using the trained information classification model to obtain a classification result.

Description

technical field [0001] The invention relates to the technical fields of natural language processing and machine learning, in particular to an information classification method and system based on a BERT model. Background technique [0002] As an important channel for customers, mobile banking APP plays an important role in the digital transformation of banks. In order to further improve customer experience, mobile banking has added an information function. Considering that various new information will be generated every day, in order to better manage information, mobile banking needs to classify information according to the content of the information; considering the amount of information data, relying solely on Manual methods are costly and inefficient. [0003] In summary, there is an urgent need for a technical solution that can overcome the above defects and efficiently and accurately classify information. Contents of the invention [0004] In order to solve the prob...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06F16/33G06F16/35G06F40/30G06K9/62G06N3/04G06N3/08G06N20/00
CPCG06F16/3344G06F16/355G06F40/30G06N3/08G06N20/00G06N3/044G06F18/214
Inventor 徐晓健
Owner BANK OF CHINA
PatSnap Eureka logo

PatSnap Eureka turns technology decisions into work you can execute. Powered by our Innovation Knowledge Graph, it runs expert workflows across engineering, life sciences, materials and intellectual property. Get your review-ready output in minutes.

X (Twitter)LinkedInYouTubeSubstack

© 2026 PatSnap. All rights reserved. 

Terms of Service

 | 

Privacy policy

 | 

Modern Slavery Act Transparency Statement