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...
- 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)