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作者

Vladimir Vargas-Calderón;Jorge E. Camargo

来源

CITIES,Vol.92,Issue1,Pages 187-196

语言

英文

关键字

Natural language processing;Word embedding;T-sne;Social network analysis

作者单位

Physics Department, Universidad Nacional de Colombia, Bogotá, Colombia;Systems Engineering Department, Fundación Universitaria Konrad Lorenz, Bogotá, Colombia;Physics Department, Universidad Nacional de Colombia, Bogotá, Colombia;Systems Engineering Department, Fundación Universitaria Konrad Lorenz, Bogotá, Colombia

摘要

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 performed in a collection of 2,634,176 tweets gathered from Twitter in a period of six months. Results show that the proposed method is an interesting tool to characterize a city population based on a machine learning methods and text analytics.