| Issue |
MATEC Web Conf.
Volume 336, 2021
2020 2nd International Conference on Computer Science Communication and Network Security (CSCNS2020)
|
|
|---|---|---|
| Article Number | 09014 | |
| Number of page(s) | 8 | |
| Section | Computer-Aided Advanced System and Management | |
| DOI | https://doi.org/10.1051/matecconf/202133609014 | |
| Published online | 15 February 2021 | |
Technical standards opportunity identification of Chinese manufacturing industry
Harbin University of Science and technology, School of economics and Management, 150080, Harbin, Heilongjiang Province
* Corresponding author: 79599793@qq.com
Based on Standard Literature Library of CNKI, opportunities for technical standards development are identified. The initial keywords of technical standard are determined based on LDA model, whose similar keywords are further confirmed by Word2Vec, and then combining LDA model with Word2Vec the representative keywords of technical standard of manufacturing industry are determined. According to confirmed representative keywords, the core technical standards of manufacturing industry are identified by using the center degree and “M-core” method. The dimensions of the frequency square matrix are reduced by using the PCA module of Python, and the scatter plot is brawn, the technology gaps are identified by combing the consideration on the core technical standards, and then the future development opportunities are confirmed based on the map of patent technology effect matrix.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.