文章基本信息

标题：Research on Political Trend of North Korea Based on Big Data Text Mining Method
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作者：Hongyi Li ; Zhezhi Jin
期刊名称：Open Access Library Journal
印刷版ISSN：2333-9705
电子版ISSN：2333-9721
出版年度：2019
卷号：6
期号：11
页码：1-10
DOI：10.4236/oalib.1105893
语种：English
出版社：Scientific Research Pub
摘要：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.
关键词：Text MiningK-Means AlgorithmLDA Topic ModelPublic Opinion Analysis