빅데이터를 활용한 테러리즘 관련 언론보도 토픽분석 : 모술탈환 작전 전후 시기를 중심으로

This study analyzed the main topics of news articles related to terrorism using LDA technique of topic modeling. To this end, from June 2014 to May 2019, we extracted topics from media articles on terrorism in 36,436 cases, and analyzed the major trends by period (fall of Mosul, Battle of Mosul, retake the city of Mosul). The main analysis point of the this study was before and after Battle of Mosul. Because We thought that key word in terms of the spread and impact of international terrorism is the ISIS and the major events related to the expansion, contraction and diversification of the ISIS forces are the Battle of Mosul. Main research methodology is topic analysis Because we can quantitatively analyze the contents of a large volume of articles related to terrorism. In addition, we analyze topic modeling to discuss the issue of terrorism articles and policy issues by analyzing major topics. The purpose of this study is to investigate how the central theme of the news articles related to the aspects of terrorism has been changed, And to examine trends. Based on this, it was possible to derive some implications on major trends in the major topics of the media reports on terrorism and in the media reports on terrorism.