Getting insights from news data mining: a case of BBC's counter-terrorism news text analysis

Abstract

Data mining plays an important role in getting insights from news text. This study collected 695,051 English-language news reports on terrorism and counter-terrorism from March 2017 to March 2018 in BBC news and conducted a text analysis with LDA topic modeling. 20 topics and five themes were classified, and it was disclosed that major themes include that: (1) BBC focused on constructing local discourse structure, (2) Comparing the news reports at home and abroad, and (3) Historical origins, the development in ancient and modern times and a trial of strength between different countries.