Proceedings of the 2023 2nd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2023)

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The Lexicon Construction and Quantitative Research of Digital Economy Policy Texts

Authors
Ye Li1, *, Ziqiang Shen1, Cunyang Zhang1, Linfang Zhao1
1Qilu University of Technology (Shandong Academy of Sciences), Jinan, Shandong, China
*Corresponding author. Email: liye@sdas.org
Corresponding Author
Ye Li
Available Online 28 August 2023.
DOI
10.2991/978-94-6463-222-4_3How to use a DOI?
Keywords
digital economy; Policy texts; Neologism discovery; Text mining
Abstract

At present, China’s digital economy policy documents have a large number, rich topics and an increasingly large system. Traditional content analysis methodss have been difficult to achieve a large number of policy text mining and quantitative research. In this paper, we build a professional lexicon of digital economic policy to capture emerging concepts in this field through the new word discovery algorithm and artificial supplement method. The experimental results show that the professional lexicon can increase the F1 score of text segmentation from 57.40% to 77.09%. On the basis of the policy lexicon, using natural language processing technologies such as text classification, keyword extraction, subject modeling, etc., to conduct quantitative research on policies related to the digital economy since the “Fourteenth Five-Year Plan” period is conducive to the intelligent interpretation of the digital economy policy text. The research shows that deepening application, standardizing development and inclusive sharing are the keynote of China’s digital economy development. The digital industrialization policy text focuses on five themes: key technologies, emerging industries, new models and new formats, intelligent equipment and support platforms.

Copyright
© 2023 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 2023 2nd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2023)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
28 August 2023
ISBN
10.2991/978-94-6463-222-4_3
ISSN
2589-4919
DOI
10.2991/978-94-6463-222-4_3How to use a DOI?
Copyright
© 2023 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  - Ye Li
AU  - Ziqiang Shen
AU  - Cunyang Zhang
AU  - Linfang Zhao
PY  - 2023
DA  - 2023/08/28
TI  - The Lexicon Construction and Quantitative Research of Digital Economy Policy Texts
BT  - Proceedings of the 2023 2nd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2023)
PB  - Atlantis Press
SP  - 23
EP  - 33
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-222-4_3
DO  - 10.2991/978-94-6463-222-4_3
ID  - Li2023
ER  -