Proceedings of the 2023 3rd International Conference on Business Administration and Data Science (BADS 2023)

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Topic Mining of Economic and Trade Cooperation between Guangxi Province and ASEAN Countries based on LDA Model

Authors
Chunlan Li1, Chongjian Song1, *
1School of Economic and Management, Guangxi Normal University, Guilin, China
*Corresponding author. Email: scj199700@163.com
Corresponding Author
Chongjian Song
Available Online 30 December 2023.
DOI
10.2991/978-94-6463-326-9_13How to use a DOI?
Keywords
LDA Model; Guangxi Province and ASEAN Countries; Economic and Trade Cooperation; Topic Mining
Abstract

The LDA Model is a topic model commonly used in natural language processing. It mines the topic in three steps. First, calculates the topics of each document in the document set in the form of probability distribution. Second, extracts the actual topics after analyzing those documents in the same subject. Third, mines those factual topics by topic clustering or text classifying. This paper uses the LDA model to analyze the articles and news texts published on the topic of Economic and Trade exchanges between Guangxi Province and ASEAN Countries on the website of the People's Government of Guangxi Zhuang Autonomous Region. It summarizes 11 topics of economic and trade activities between the two sides from 2017 to 2021. It calculates topic intensity and discovers the cooperative industries with high frequency. It provides a reference direction for further promoting the cooperation and development of the two sides.

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 3rd International Conference on Business Administration and Data Science (BADS 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
30 December 2023
ISBN
978-94-6463-326-9
ISSN
2589-4900
DOI
10.2991/978-94-6463-326-9_13How 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  - Chunlan Li
AU  - Chongjian Song
PY  - 2023
DA  - 2023/12/30
TI  - Topic Mining of Economic and Trade Cooperation between Guangxi Province and ASEAN Countries based on LDA Model
BT  - Proceedings of the 2023 3rd International Conference on Business Administration and Data Science (BADS 2023)
PB  - Atlantis Press
SP  - 130
EP  - 140
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-326-9_13
DO  - 10.2991/978-94-6463-326-9_13
ID  - Li2023
ER  -