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| Comprehensive Quality Profiling for Micro-, Small-, and Medium-sized Enterprises Based on Deep Learning |
Cao Lina1,Zhang Jian1,2,3,Chen Jindong1,2( ),Fan Hui4 |
1School of Economics and Management, Beijing Information Science and Technology University, Beijing 100192, China
2Beijing International Science and Technology Cooperation Base of Intelligent Decision and Big Data Application, Beijing 100192, China
3Laboratory of Big Data Decision Making for Green Development, Beijing 100192, China
4Sino-tone Beijing Consulting Co. Ltd., Beijing 100012, China |
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Abstract [Objective] This paper develops the comprehensive quality profiling technology for the micro-, small-, and medium-sized enterprises (MSMEs) based on deep learning, aiming to more accurately depict the quality of MSMEs. [Methods] We proposed a comprehensive quality profiling system with five dimensions: quality innovation ability, process quality control, product quality level, operational quality and risks, as well as financial quality. Then, we designed a diversified profiling method based on the quality check reports and online user comments. Finally, we proposed the comprehensive quality profiling technology for MSMEs with the help of deep learning. [Results] The F value of our pre-trained BERT model was 4.66%, 1.99%, and 4.25% higher than those of the benchmark models. The review classification model based on the pre-trained Word2Vec was 6.03% higher than the traditional TF-IDF model. [Limitations] More dimensions related to enterprise quality need to be added and optimized. [Conclusions] Deep learning technology expands the dimensions and improves the accuracy of enterprise quality profiling. The proposed method also provides technical support for service innovation.
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Received: 26 January 2022
Published: 13 January 2023
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| Fund:National Key R&D Program of China(2019YFB1405300);National Natural Science Foundation of China(72174018);Beijing Social Science Fund(20GLA002) |
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Corresponding Authors:
Chen Jindong
E-mail: j.chen@amss.ac.cn
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