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

BERT fusion capsule network elevator fault complaint text classification method

A text classification and fault type technology, applied in neural learning methods, biological neural network models, semantic analysis, etc., can solve problems such as the lack of long-distance dependencies of encoded texts, achieve the effect of improving classification efficiency and reducing sentence vector dimensions

Inactive Publication Date: 2022-07-29
CHINA JILIANG UNIV
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, when the capsule network is used for text classification, there is a problem of lack of long-distance dependencies in the encoded text.

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 fusion capsule network elevator fault complaint text classification method
  • BERT fusion capsule network elevator fault complaint text classification method
  • BERT fusion capsule network elevator fault complaint text classification method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] The present invention will be further described below with reference to the accompanying drawings and implementation cases.

[0037] figure 2 The network structure of the BERT-CapsNet complaint text classification model constructed by the present invention is shown. The input of the model is the processed complaint text, which is encoded by the embedding layer and then input to Bert's bidirectional Transformer. The vector corresponding to each Token is used as the output (a vector with a dimension of 768), which is input to the linear layer and activated by the Tanh function to generate the final sentence vector. The linear layer is mainly to reduce the dimension of the sentence vector, thereby reducing the calculation of subsequent text classification. complexity and improve the efficiency of text classification. The Reshape layer changes the shape of the sentence vector to make it suitable for input into the downstream capsule network for text classification. The ca...

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 discloses an elevator fault complaint text classification method based on BERT fused with a capsule network, and the method comprises the steps: firstly carrying out the semantic feature extraction of a text through the powerful word and sentence expression capability of a pre-training language model BERT and the capability of extracting a long-distance dependency relationship, and obtaining a vector corresponding to a first character in the last output layer of the BERT; the complaint text sentence vector is processed by a linear layer and a Tanh activation layer to obtain complaint text sentence vector representation, so that the sentence vector dimension is reduced, and the classification efficiency is improved; then, a mixed sampling method combining oversampling and undersampling is used for solving the problem of unbalanced data category distribution; and finally, secondary extraction and fusion of features are realized by means of a capsule network, local and overall relationships of the texts are obtained, word sequences and semantics are reserved, intelligent classification of elevator fault complaint texts is finally realized, reference values are provided for regular maintenance of elevators, and a solution is also provided for efficient utilization of fault complaint text data.

Description

technical field [0001] The invention relates to a text classification method for elevator fault complaints based on BERT fusion capsule network. Background technique [0002] In 2021, the number of elevators in China will reach 8.447 million units, a year-on-year increase of 5.6%, and the safe operation and maintenance of elevators has become a crucial issue. The smart elevator management system is an online elevator monitoring and maintenance service system, which can realize the functions of elevator real-time monitoring, fault event recording, elevator maintenance management and user complaints. The problem of handling user complaints is to ensure the safe operation of elevators. dimensional key. User complaint information often exposes problems or faults in the operation of elevators, and plays an important guiding role in adjusting the decision-making of elevator-related units and improving elevator quality and service. Traditionally, elevator user complaint texts are...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/00G06N3/08G06N3/04G06K9/62G06F40/30
CPCG06Q30/012G06N3/08G06F40/30G06N3/045G06F18/241G06F18/214
Inventor 周娟吴宗欢王强
Owner CHINA JILIANG UNIV