A semantic analysis-driven customer requirements mining method for product conceptual design
Abstract Precise customer requirements acquisition is the primary stage of product conceptual design, which plays a decisive role in product quality and innovation. However, existing customer requirements mining approaches pay attention to the offline or online customer comment feedback and there ha...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2022-06-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-022-14396-3 |
| _version_ | 1811343459091480576 |
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| author | Xuan-Yu Wu Zhao-Xi Hong Yi-Xiong Feng Ming-Dong Li Shan-He Lou Jian-Rong Tan |
| author_facet | Xuan-Yu Wu Zhao-Xi Hong Yi-Xiong Feng Ming-Dong Li Shan-He Lou Jian-Rong Tan |
| author_sort | Xuan-Yu Wu |
| collection | DOAJ |
| description | Abstract Precise customer requirements acquisition is the primary stage of product conceptual design, which plays a decisive role in product quality and innovation. However, existing customer requirements mining approaches pay attention to the offline or online customer comment feedback and there has been little quantitative analysis of customer requirements in the analogical reasoning environment. Latent and innovative customer requirements can be expressed by analogical inspiration distinctly. In response, this paper proposes a semantic analysis-driven customer requirements mining method for product conceptual design based on deep transfer learning and improved latent Dirichlet allocation (ILDA). Initially, an analogy-inspired verbal protocol analysis experiment is implemented to obtain detailed customer requirements descriptions of elevator. Then, full connection layers and a softmax layer are added to the output-end of Chinese bidirectional encoder representations from Transformers (BERT) pre-training language model. The above deep transfer model is utilized to realize the customer requirements classification among functional domain, behavioral domain and structural domain in the customer requirement descriptions of elevator by fine-tuning training. Moreover, the ILDA is adopted to mine the functional customer requirements that can represent customer intention maximally. Finally, an effective accuracy of customer requirements classification is acquired by using the BERT deep transfer model. Meanwhile, five kinds of customer requirements of elevator and corresponding keywords as well as their weight coefficients in the topic-word distribution are extracted. This work can provide a novel research perspective on customer requirements mining for product conceptual design through natural language processing. |
| first_indexed | 2024-04-13T19:29:42Z |
| format | Article |
| id | doaj.art-126a8d203c67483b838a3ea4e21f3a6a |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-04-13T19:29:42Z |
| publishDate | 2022-06-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-126a8d203c67483b838a3ea4e21f3a6a2022-12-22T02:33:13ZengNature PortfolioScientific Reports2045-23222022-06-0112111310.1038/s41598-022-14396-3A semantic analysis-driven customer requirements mining method for product conceptual designXuan-Yu Wu0Zhao-Xi Hong1Yi-Xiong Feng2Ming-Dong Li3Shan-He Lou4Jian-Rong Tan5State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang UniversityState Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang UniversityState Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang UniversityState Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang UniversityState Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang UniversityState Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang UniversityAbstract Precise customer requirements acquisition is the primary stage of product conceptual design, which plays a decisive role in product quality and innovation. However, existing customer requirements mining approaches pay attention to the offline or online customer comment feedback and there has been little quantitative analysis of customer requirements in the analogical reasoning environment. Latent and innovative customer requirements can be expressed by analogical inspiration distinctly. In response, this paper proposes a semantic analysis-driven customer requirements mining method for product conceptual design based on deep transfer learning and improved latent Dirichlet allocation (ILDA). Initially, an analogy-inspired verbal protocol analysis experiment is implemented to obtain detailed customer requirements descriptions of elevator. Then, full connection layers and a softmax layer are added to the output-end of Chinese bidirectional encoder representations from Transformers (BERT) pre-training language model. The above deep transfer model is utilized to realize the customer requirements classification among functional domain, behavioral domain and structural domain in the customer requirement descriptions of elevator by fine-tuning training. Moreover, the ILDA is adopted to mine the functional customer requirements that can represent customer intention maximally. Finally, an effective accuracy of customer requirements classification is acquired by using the BERT deep transfer model. Meanwhile, five kinds of customer requirements of elevator and corresponding keywords as well as their weight coefficients in the topic-word distribution are extracted. This work can provide a novel research perspective on customer requirements mining for product conceptual design through natural language processing.https://doi.org/10.1038/s41598-022-14396-3 |
| spellingShingle | Xuan-Yu Wu Zhao-Xi Hong Yi-Xiong Feng Ming-Dong Li Shan-He Lou Jian-Rong Tan A semantic analysis-driven customer requirements mining method for product conceptual design Scientific Reports |
| title | A semantic analysis-driven customer requirements mining method for product conceptual design |
| title_full | A semantic analysis-driven customer requirements mining method for product conceptual design |
| title_fullStr | A semantic analysis-driven customer requirements mining method for product conceptual design |
| title_full_unstemmed | A semantic analysis-driven customer requirements mining method for product conceptual design |
| title_short | A semantic analysis-driven customer requirements mining method for product conceptual design |
| title_sort | semantic analysis driven customer requirements mining method for product conceptual design |
| url | https://doi.org/10.1038/s41598-022-14396-3 |
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