North Korean Economic Discourse Analysis: LDA and BERTopic Results (2011-2020)

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Authors: kang kyunghwa
Cited by: 0

Abstract

Aggregated statistical results from topic modeling analysis of North Korea's Journal of Economic Research (경제연구), 2011-2020. This dataset contains:- LDA topic modeling results (K=8): yearly topic distributions, topic keywords, coherence scores- BERTopic results (7 topics): yearly topic distributions, topic keywords Data source: 1,503 articles (46,334 sentences) from North Korea's Journal of Economic Research. Note: The original sentence-level corpus cannot be shared due to copyright restrictions (North Korea's Science and Encyclopedia Publishing House). Only aggregated statistical outputs are provided. Related publication: Kang, K. (2025). AI-Based Discourse Analysis for Predicting Policy Shifts in Closed Regimes: A Methodological Triangulation of LDA and BERTopic Applied to North Korea. F1000Research. [DOI to be added]

Fields of Study & Subjects

Computational and Text Analysis Methods Korean Peninsula Historical and Political Studies Topic Modeling

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
5 February 2026
Document type
Dataset