It's pretty complicated to get data from GDELT. Not only accessing the data but preprocessing the data is also a tedious task. 'gydelt' is a wrapper that can be used to access and perform the basic preprocessing operations on the data obtained from GDELT. It has several datasets. This package is particularly for the Global Knowledge Graph (GKG)
The user can:
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Collect the data -
- by reading from a file (obtained from the GKG Exporter).
- by querying the GDELT's GKG table hosted on BigQuery.
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Pre-process the collected data: The data collected needs to be cleaned and processed before it can be used for analysis. The package has several functions to do the job.
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Storage of the data.
- Download the wheel file (gydelt-1.0-py2.py3-none-any.whl) from here
- Run the command -
pip install gydelt-1.0-py2.py3-none-any.whl
Requirement :
You need Python (2.x or 3.x) to run gydelt (Python 3.x is recommended). Also, if you want to query the data from Google's BigQuery, proper credentials for authentication will be required in order to do the job.
A notebook that shows how to use the package and also, a sample use-case