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Analysis of Twitter messages using big data tools to evaluate and locate the activity in the city of Valencia (Spain)

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Analysis of Twitter messages using big data tools to evaluate and locate the activity in the city of Valencia (Spain)

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Martín Furones, ÁE.; Anquela Julián, AB.; Cos-Gayón López, FJ. (2019). Analysis of Twitter messages using big data tools to evaluate and locate the activity in the city of Valencia (Spain). Cities. (86):37-50. https://doi.org/https://doi.org/10.1016/j.cities.2018.12.014

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/156859

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Title: Analysis of Twitter messages using big data tools to evaluate and locate the activity in the city of Valencia (Spain)
Author: Martín Furones, Ángel Esteban Anquela Julián, Ana Belén Cos-Gayón López, Fernando José
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Cartográfica Geodesia y Fotogrametría - Departament d'Enginyeria Cartogràfica, Geodèsia i Fotogrametria
Universitat Politècnica de València. Departamento de Construcciones Arquitectónicas - Departament de Construccions Arquitectòniques
Issued date:
Abstract:
[EN] This paper presents the big data architecture and work flow used to download georeferenced tweets, store them in a NoSQL database, analyse them using the Apache Spark framework, and visualize the results. The study ...[+]
Subjects: Twitter , Big data , Apache Spark , MongoDB , Urban infrastructure
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Source:
Cities. (issn: 0264-2751 )
DOI: https://doi.org/10.1016/j.cities.2018.12.014
Publisher:
Elsevier
Publisher version: 10.1016/j.cities.2018.12.014
Thanks:
The authors would like to thank the comments and suggestions of the anonymous reviewers and the editor, which have helped to improve the original version.
Type: Artículo

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