GDELTFrames provides a DataFrame-centric view over the Global Database of Events Language and Tone and prepares data for Apache Spark based machine learning and deep learning.
GDELT: The GDELT project monitors the world's broadcast, print, and web news from nearly every corner of every country in over 100 languages and identifies the people, locations, organizations, themes, sources, emotions, counts, quotes, images and events driving our global society every second of every day, creating a free open platform for computing on the entire world.
GDELT’s primary data offering is that of a several petabyte-sized database with entries on events, actors in events, news mentions of events, and sentiment analysis. A range of interrelated datasets can be accessed which total trillions of data points.
Some of the most well-known use cases of the GDELT datasets include:
- Disaster Monitoring and Reporting
- Event Monitoring
- Influencer Analysis
- News Monitoring
- Risk Assessment
- Sentiment Analysis
- Social Science Research