Proceedings of the 2024 6th Management Science Informatization and Economic Innovation Development Conference (MSIEID 2024)

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Thematic Identification Analysis of Equipment Quality Problems Based on the BERTopic Model

Authors
Sining Xu1, Yuhui Wang1, *, Xiangjun Cheng1, Qianjun Yang1
1School of Equipment Management and UAV Engineering, Air Force Engineering University, Xi’an, Shaanxi, China
*Corresponding author. Email: josh8048@163.com
Corresponding Author
Yuhui Wang
Available Online 15 April 2025.
DOI
10.2991/978-94-6463-676-5_47How to use a DOI?
Keywords
Quality problems; deep learning; BERTopic; BiLSTM-CRF
Abstract

Aiming at the problem that a large amount of text data on equipment quality problems accumulated in the process of equipment development and production is not effectively used, the paper adopts Bi-directional Long Short Term Memory-Conditional Random Fields model and Bidirectional Encoder Representations from Transformers for Topic Modeling model to identify the topic words of equipment quality problems, and on this basis, combined with clustering method to obtain the topic direction of equipment quality problems. The experimental results show that the proposed model has good performance in the field of equipment quality problems, and it can better obtain the topic words with semantic information, which is better than the current common segmentation and topic recognition methods, and verifies the effectiveness of the model.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 6th Management Science Informatization and Economic Innovation Development Conference (MSIEID 2024)
Series
Advances in Economics, Business and Management Research
Publication Date
15 April 2025
ISBN
978-94-6463-676-5
ISSN
2352-5428
DOI
10.2991/978-94-6463-676-5_47How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Sining Xu
AU  - Yuhui Wang
AU  - Xiangjun Cheng
AU  - Qianjun Yang
PY  - 2025
DA  - 2025/04/15
TI  - Thematic Identification Analysis of Equipment Quality Problems Based on the BERTopic Model
BT  - Proceedings of the 2024 6th Management Science Informatization and Economic Innovation Development Conference (MSIEID 2024)
PB  - Atlantis Press
SP  - 484
EP  - 491
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-676-5_47
DO  - 10.2991/978-94-6463-676-5_47
ID  - Xu2025
ER  -