Analysis System for SNS Issues per Country based on Topic Model 


Vol. 43,  No. 11, pp. 1201-1209, Nov.  2016


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  Abstract

As the use of SNS continues to increase, various related studies have been conducted. According to the effectiveness of the topic model for existing theme extraction, a huge number of related research studies on topic model based analysis have been introduced. In this research, we suggested an automation system to analyze topics of each country and its distribution in twitter by combining world map visualization and issue matching method. The core system components are the following three modules; 1) collection of tweets and classification by nation, 2) extraction of topics and distribution by country based on topic model algorithm, and 3) visualization of topics and distribution based on Google geochart. In experiments with USA and UK, we could find issues of the two nations and how they changed. Based on these results, we could analyze the differences of each nation"s position on ISIS problem.


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  Cite this article

[IEEE Style]

S. H. Kim and J. W. Yoon, "Analysis System for SNS Issues per Country based on Topic Model," Journal of KIISE, JOK, vol. 43, no. 11, pp. 1201-1209, 2016. DOI: .


[ACM Style]

Seong Hoon Kim and Ji Won Yoon. 2016. Analysis System for SNS Issues per Country based on Topic Model. Journal of KIISE, JOK, 43, 11, (2016), 1201-1209. DOI: .


[KCI Style]

김성훈, 윤지원, "토픽 모델 기반의 국가 별 SNS 관심 이슈 분석 시스템," 한국정보과학회 논문지, 제43권, 제11호, 1201~1209쪽, 2016. DOI: .


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