Research on Political Trend of North Korea Based on Big Data Text Mining Method - Open Access Library Journal

OALibJ > Vol.6 No.11, November 2019

Research on Political Trend of North Korea Based on Big Data Text Mining Method ()

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DOI: 10.4236/oalib.1105893 291 Downloads 833 Views

Author(s)

Hongyi Li¹, Zhezhi Jin^2*

Affiliation(s)

¹Department of Mathematics, Yanbian University, Yanji, China.
²Department of Economics and Management, Yanbian University, Yanji, China.

ABSTRACT

With the method of text mining, this paper takes the related data of Rodong Sinmun in the recent ten years as the research object, extracts the hot topics and carries on the trend analysis. With the special attribute of his speech media, this paper analyzes the political issue. By extracting nearly one million news text data, their topic content is analyzed, combining with LDA topic model, and using K-means clustering algorithm. Aiming at the limitations of the traditional K-means algorithm, it is solved on the pre-built big data analysis platform, and the structure and content of the theme are analyzed in detail. In the end, the political theme and the trend of public opinion in recent years are derived. In terms of application, it is of great significance to analyze and study Korean big data text.

KEYWORDS

Text Mining, K-Means Algorithm, LDA Topic Model, Public Opinion Analysis

Share and Cite:

Li, H. and Jin, Z. (2019) Research on Political Trend of North Korea Based on Big Data Text Mining Method. Open Access Library Journal, 6, 1-10. doi: 10.4236/oalib.1105893.

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