Characterization of citizens using word2vec and latent topic analysis in a large set of tweets

With the increasing use of the Internet and mobile devices, social networks are becoming the most used media to communicate citizens' ideas and thoughts. This information is very useful to identify communities with common ideas based on what they publish in the network. This paper presents a me...

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Veröffentlicht in:	Cities 2019-09, Vol.92, p.187-196
Hauptverfasser:	Vargas-Calderón, Vladimir, Camargo, Jorge E.
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence Citizens Internet Machine learning Mass media Natural language processing Social network analysis Social networks T-sne Word embedding
Online-Zugang:	Volltext
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