AI application for clustering and analysis of hiring language for Women of the Valley
This paper presents the development of an unsupervised learning model for the analysis and characterization of the contractual objects of 2,493 public contracts executed by the Valle del Cauca Governorate from 2008 to the present, with the aim of strengthening oversight and political critique using reliable data and identifying corruption risks.
Code available at:
https://github.com/estebanoli8/secop_...