Text Mining Methodology for Building Water Leak Maps from Tweets
Universidad Nacional Autónoma de México, Lizeth Torres, Roberto Giovanni Ramírez-Chavarría, Universidad Nacional Autónoma de México, Martín Rubén Jiménez-Magaña, Universidad Nacional Autónoma de México, Lucero García-Franco, Universidad Autónoma Metropolitana · Memorias del Congreso Nacional de Control Automático · 2022
This article presents a text mining methodology that is used in the framework of a project called Fugometría. The objective of the proposed methodology is the construction of maps with markers that indicate the location of water leaks. To achieve this purpose, the initial step is the collection of tweets issued by citizens to report the existence of leaks in drinking water distribution networks. Once these tweets are collected, they are parsed for an address in the body of the message. If an address is detected, it is converted into a GPS coordinate, which is in turn used to build a map with markers indicating the location of water leaks. In order to show the applicability of the methodology, some preliminary results on the construction of a leak map of Mexico City are shown.