Incorporating Natural Language Processing models in Mexico City's 311 Locatel
Alejandro Molina-Villegas, Edwin Aldana-Bibadilla, Oscar S. Siordia, Jorge Eduardo Pérez Pérez · 2022
Natural Language Processing based technologies are transforming various sectors by facilitating new ways of providing services through Artificial Intelligence (AI). In this paper, we describe the methodology and present the challenges encountered during the creation of a Deep Learning-based model for classifying citizen service requests. Our system is able to effectively recognize among 48 categories of public services with an accuracy of 97% and was integrated into Mexico City’s 311, significantly increasing the government’s ability to provide better services.