NORTH KOREA’S ECONOMY: A BIG DATA ANALYSIS

Abstract

A specific goal of this paper is to analyze 29 articles obtained in Google in 2024 regarding North Korea’s economy. A major point of this paper is that the keyword Korea was the most frequently occurred one in 29 articles of Google, followed by the keyword north, the keyword system, the keyword plan, the keyword planning, the keyword year, and the keyword economy, in descending order. A point to note is that in the so-called word cloud, the keyword Korea is deemed to be an indispensable one in 29 articles of Google.A further point to note is that the keywords Kim, imbalances, committee, and executive showed up in the middle of the map. From this, it seems evident that these four keywords count as the most centralish in 29 articles of Google.Particularly noteworthy is that clusters are different from topics in that the latter are made up of the subject of a document(s), but the former form a cohesive group since they are keywords with similar properties and attributes in a document(s). Finally, when it comes to the sentiment analysis of North Korea’s economy,while there are 3 positive keywords with respect to North Korea’s economy, there are 11 negative keywords. More specifically, while we obtained -59 with respect to negative keywords, we obtained +13 with respect to positive keywords. From all of this, it seems clear that 29 articles of Google think that North Korea’s economy is in bad shape even though there are some positive keywords with respect to it.