There are 6 repositories under gdelt topic.
Python based framework to retreive Global Database of Events, Language, and Tone (GDELT) version 1.0 and version 2.0 data.
A way for home buyers to know about factors affecting a state
A file that contains the schema for GDELT 2.0 Header rows for the Events Database.
A dashboard is worth a thousand words => https://datastudio.google.com/reporting/755f3183-dd44-4073-804e-9f7d3d993315
Binding the GDELT universe in a Spark environment
An end-to-end event extraction and summarization system.
Daily TV News Summary using GPT
I'm a curious person and analysing world news is fun. Here I'm gathering all my Gdelt-related projects.
Newsfeed based on GDELT Project
Sample notebooks for using the Global Database of Events, Language and Tone (GDELT).
Indexing GDELT database into Elasticsearch, entire database including the -each 15 minutes- real time events
A Cassandra Architecture for GDELT Database 🌍
A hybrid system dynamics-time series method for conflict analysis using GDELT
Premise of Task: Contextual Alert and Trend System (CATS) is a proof of concept (POC) for an automated system for near real-time media monitoring via GDELT to identify trends and anomalies in the volume of online reports about pre-defined indicator events, at country level. This repository reflects the methodologies used to complete this task.
Research: Are the spanish media not publishing controversial articles? Is Gdelt tagging everything? Check out the Readme. Dashboard => https://datastudio.google.com/s/nShAIQD96fc
Big data analytics using Hadoop on GDELT global news dataset.
A simple Python script to filter and acquire data from the GDELT Project Event Database.
In this research, we quantify foreign actors media events in the South Pacific involving an environmental theme. We use the GDELT (Global Database of Events, Language, and Tone) database to compare the tones of articles produced by Western, Chinese, and South Pacific (Local) media sources that involve an environmental theme and when a great power (United States, China, Australia, New Zealand, Japan, and Russia) is involved as an actor. We found when comparing Western, Chinese, and Local news sources, the average sentimental analysis of Western tones is negative, the average of Local tones is slightly positive, and the average of Chinese tones are very positive. When comparing the difference in means by each set of news sources, we used the Welch’s two sample t-test because the distribution of Western, Chinese, and Local tones followed a normal distribution but had unequal variances among the groups. After conducting our statistical analysis, we found there is strong evidence to conclude the difference in means of tones between the three media sources are statistically significant between each pairwise comparison.
An Automated File Manager for Maintaining a Local Copy of GDELT Source Files
World Wide News - 3D visualization of global world events of the past 30 days
This project has been created in a 4h time for the purpose of the Texata Big Data world championship.
ML regression within a Cloud Function to infer unemployment searches on Google, in Spain, 4 weeks in advance => https://datastudio.google.com/s/jwIr1Weh7Zc
Ensemble classification of global news data from gdeltproject.org gathered using Google Cloud BigQuery
Example applications of GDELT mass media intelligence data
Project achieved with the MICS laboratory and Airbus Defense and Space
Wrapper for accessing and pre-processing data from GDELT
European refugee crisis: interplay of power between politics, media and citizens
This work aims to analyze political events and search for patterns in them based on the data of the GDELT project.
A platform to serve moderators and researchers to leverage open data to understand and further research in Wikipedia edits contribution based on geospatial and temporal event distribution