Twitter data mining for the diagnosis of leaks in drinking water distribution networks

This article presents a methodology for using data from social networks, specifically from Twitter, to diagnose leaks in drinking water distribution networks. The methodology involves the collection of tweets from citizens reporting leaks, the extraction of information from the tweets, and the proce...

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Autores:
Jiménez-Cabas, Javier
Torres, Lizeth
Lozoya-Santos, Jorge de Jesús
Tipo de recurso:
Article of investigation
Fecha de publicación:
2023
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/9964
Acceso en línea:
https://hdl.handle.net/11323/9964
https://repositorio.cuc.edu.co/
Palabra clave:
Leak diagnosis
Social sensors
Social network data
Twitter
Text mining
Rights
openAccess
License
Atribución 4.0 Internacional (CC BY 4.0)