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Twitter Event Detection in a City

Tipo
Paper de conferencia
Año
2019
Fecha
08/2019
Lugar publicado
Cham
Publisher
Springer International Publishing
ISBN
978-3-030-11680-4
Páginas
32
Abstract

Large cities and metropolitan areas are complex systems with connections between their environments and individuals. Citizens express themselves daily about events related to the city on the Internet. This information has great value due to its freshness, diversity of points of view and impact on public opinion.

Autores

Hugo Alatrista-Salas
Martín Steglich
Raúl Speroni
Juan Antonio Lossio-Ventura
Denisse Muñante
Citekey
10.1007/978-3-030-11680-4_5
doi
10.1007/978-3-030-11680-4_5
Keywords
machine learning
Smart City
Event Extraction
Event Detection
Social Networks
Twitter
natural language processing