Comparative Analysis of GDELT Data Using the News Site Contrast System

نویسندگان

  • Masaharu Yoshioka
  • Noriko Kando
چکیده

Abstract The News Site Contrast (NSContrast) system analyzes news articles retrieved from multiple news sites based on the concept of contrast set mining. It can extract terms that characterize different topics of interest across news sites, countries, and regions. In this study, we used NSContrast to analyze Global Database of Events, Language, and Tone (GDELT) data by comparing news articles from different regions (e.g., USA, Asia, and the Middle East). We also present examples of analyses performed using this system.

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تاریخ انتشار 2016