%0 Conference Proceedings
%4 sid.inpe.br/mtc-m16c/2015/12.10.16.33
%2 sid.inpe.br/mtc-m16c/2015/12.10.16.33.32
%@issn 2179-4820
%T Geocoding of traffic-related events from Twitter
%D 2015
%A Salazar, Juan c.,
%A Torres-Ruiz, Miguel,
%A Davis Júnior, Clodoveu A.,
%A Moreno-Ibarra, Marco,
%@affiliation Instituto Politécnico Nacional
%@affiliation Instituto Politécnico Nacional
%@affiliation Universidade Federal de Minas Gerais (UFMG)
%@affiliation Instituto Politécnico Nacional
%E Fileto, Renato,
%E Korting, Thales Sehn,
%B Simpósio Brasileiro de Geoinformática, 16 (GEOINFO)
%C Campos do Jordão
%8 27 nov. a 02 dez. 2015
%I Instituto Nacional de Pesquisas Espaciais (INPE)
%J São José dos Campos
%P 14-25
%S Anais
%X 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.
%@language en
%3 proceedings2015_p2.pdf