Analysing Large Amounts of Data: GDELT Project’s Opportunities Using the Python Programming Language. A Humanities Scholar’s Experience with Big Data

Authors

DOI:

https://doi.org/10.14515/monitoring.2021.1.1750

Keywords:

GDELT, Big Data, Python, BigQuery

Abstract

The scientific community is currently following the interdisciplinary path, and one of the most popular directions is a combination of Programing enabling processing large volumes of data and the Humanities.  The paper describes the author’s experience with Big Data, provides her analysis of the GDELT Project opportunities and shows how large amounts of data can be processed using the Python programming language. The analysis of steps in data processing using Python can help scholars who have not dealt with large amounts of data. The French “yellow vests” is the case study the author uses to illustrate how the GDELT Project works.

Author Biography

Natalia V. Yartseva, Samara University

  • Samara University, Samara, Russia
    • Cand. Sci. (Polit.), Associate Professor
  • Russian Public Opinion Research Center, Moscow, Russia
    • Expert

Downloads

Published

2021-03-04

How to Cite

Yartseva, N. V. (2021). Analysing Large Amounts of Data: GDELT Project’s Opportunities Using the Python Programming Language. A Humanities Scholar’s Experience with Big Data. Monitoring of Public Opinion: Economic and Social Changes, (1). https://doi.org/10.14515/monitoring.2021.1.1750

Issue

No. 1 (2021): Artificial Intelligence

Section

METHODS AND METHODOLOGY

License

Copyright (c) 2020 Monitoring of Public Opinion: Economic and Social Changes Journal (Public Opinion Monitoring) ISSN 2219-5467

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.