Bryan Torres

A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement

This paper analyzes metadata from Ecuador's SOCE, with particular emphasis on participant comments generated during the pre-contractual phase to propose a hybrid modeling framework that integrates unsupervised clustering and supervised classification within a natural language processing (NLP) pipeline to uncover latent patterns and detect potentially irregular procurement processes.