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

Cities6.70
Volume: 92, Pages: 187 - 196
Published: Sep 1, 2019
Abstract
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 method to automatically detect city communities based on machine learning techniques applied to a set of tweets from Bogotá’s citizens. An analysis was...
Paper Details
Title
Characterization of citizens using word2vec and latent topic analysis in a large set of tweets
Published Date
Sep 1, 2019
Journal
Volume
92
Pages
187 - 196
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