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Global Financial Crisis and Trade Papers: Topic Analysis Via Latent Dirichlet Allocation Model
Abstract
We examine the trends in the studies published in international trade journals indexed in Web of Science (WoS) before and after the 2008 Global Financial Crisis (GFC). This study investigates the 5001 abstracts of trade articles starting from the post-millennium period by addressing issues in WoS database trade journals using the Latent Dirichlet Allocation (LDA) topic model. The purpose of the study is to evaluate whether topics and words differ that have been discussed in international trade literature before and after GFC. Mostly, contain topics differ when two periods are compared, although trade agreements and disputes, stock markets, and growth issues are frequently mentioned in both periods. In the post-crisis period, volatility, banks, and firm-specific issues are more popular. It is also among the findings that Asian economies gained importance after GFC. Generally, it has been revealed that the topics and titles in the trade literature can reflect current developments in international economics. Therefore, probably for next years, advances in technology as blockchain, emerging economies –especially China and India – and firm-based micro-scale papers will dominate the trade journals.
Keywords
References
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Details
Primary Language
English
Subjects
-
Journal Section
Research Article
Publication Date
November 30, 2021
Submission Date
May 1, 2021
Acceptance Date
November 28, 2021
Published in Issue
Year 2021 Volume: 7 Number: 2
APA
Şimdi, H., & Garip, B. (2021). Global Financial Crisis and Trade Papers: Topic Analysis Via Latent Dirichlet Allocation Model. Current Research in Social Sciences, 7(2), 76-94. https://doi.org/10.30613/curesosc.931149
AMA
1.Şimdi H, Garip B. Global Financial Crisis and Trade Papers: Topic Analysis Via Latent Dirichlet Allocation Model. Curr Res Soc Sci. 2021;7(2):76-94. doi:10.30613/curesosc.931149
Chicago
Şimdi, Halil, and Büşra Garip. 2021. “Global Financial Crisis and Trade Papers: Topic Analysis Via Latent Dirichlet Allocation Model”. Current Research in Social Sciences 7 (2): 76-94. https://doi.org/10.30613/curesosc.931149.
EndNote
Şimdi H, Garip B (November 1, 2021) Global Financial Crisis and Trade Papers: Topic Analysis Via Latent Dirichlet Allocation Model. Current Research in Social Sciences 7 2 76–94.
IEEE
[1]H. Şimdi and B. Garip, “Global Financial Crisis and Trade Papers: Topic Analysis Via Latent Dirichlet Allocation Model”, Curr Res Soc Sci, vol. 7, no. 2, pp. 76–94, Nov. 2021, doi: 10.30613/curesosc.931149.
ISNAD
Şimdi, Halil - Garip, Büşra. “Global Financial Crisis and Trade Papers: Topic Analysis Via Latent Dirichlet Allocation Model”. Current Research in Social Sciences 7/2 (November 1, 2021): 76-94. https://doi.org/10.30613/curesosc.931149.
JAMA
1.Şimdi H, Garip B. Global Financial Crisis and Trade Papers: Topic Analysis Via Latent Dirichlet Allocation Model. Curr Res Soc Sci. 2021;7:76–94.
MLA
Şimdi, Halil, and Büşra Garip. “Global Financial Crisis and Trade Papers: Topic Analysis Via Latent Dirichlet Allocation Model”. Current Research in Social Sciences, vol. 7, no. 2, Nov. 2021, pp. 76-94, doi:10.30613/curesosc.931149.
Vancouver
1.Halil Şimdi, Büşra Garip. Global Financial Crisis and Trade Papers: Topic Analysis Via Latent Dirichlet Allocation Model. Curr Res Soc Sci. 2021 Nov. 1;7(2):76-94. doi:10.30613/curesosc.931149
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https://doi.org/10.18037/ausbd.1272581Review and Application of Knowledge Graph in Crisis Management
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https://doi.org/10.1142/S0218194023300038