Geocoding of traffic-related events from Twitter

نویسندگان

  • Juan C. Salazar
  • Miguel Torres Ruiz
  • Clodoveu A. Davis
  • Marco Moreno
چکیده

Nowadays social networks provide information with high correlation with events that are occurring in the worldwide. Twitter is a microblogging network of real time posts in which people know different classes of events such as concerts, festivals, demonstrations, etc. Other relevant topic is traffic congestions; user-generated content is useful to assist drivers in avoiding crowded areas. Therefore, this work is oriented towards following specific steps focused on improving the geocoding of traffic-related events that are associated with a number of geographic elements. Preliminary results have increased the precision and recall of locating geographic elements, achieving 85% and 83%, from a baseline of 36% and 30% respectively.

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تاریخ انتشار 2015