Python scripts for the analysis of supreme audit institution decisions, using latent Dirichlet allocation (LDA)

Published: 11 June 2020| Version 1 | DOI: 10.17632/cpk5289byn.1
Contributors:
Gustavo Cesário,
Ricardo Lopes Cardoso,
Renato Santos Aranha

Description

The Python scripts are divided into three parts: - apply_method.ipynb uses developed functions to run LDA and analyse decisions in a Jupyter Notebook. These functions are found in the sai_data.py script. - sai_data.py - contains functions that can be adapted to analyse decisions from different audit institutions as well as different terms. - sai_collect.py script performs web crawling to retrieve the data from the Brazilian Supreme Audit Institution. File requirements.txt contains the necessary packages to run the scripts.

Files

Institutions

Escola Brasileira de Administracao Publica e de Empresas

Categories

Auditing, Government Information, Surveillance

License