@InProceedings{SalazarTorrDaviMore:2015:GeTrEv,
author = "Salazar, Juan c. and Torres-Ruiz, Miguel and Davis J{\'u}nior,
Clodoveu A. and Moreno-Ibarra, Marco",
affiliation = "{Instituto Polit{\'e}cnico Nacional} and {Instituto
Polit{\'e}cnico Nacional} and {Universidade Federal de Minas
Gerais (UFMG)} and {Instituto Polit{\'e}cnico Nacional}",
title = "Geocoding of traffic-related events from Twitter",
booktitle = "Anais...",
year = "2015",
editor = "Fileto, Renato and Korting, Thales Sehn",
pages = "14--25",
organization = "Simp{\'o}sio Brasileiro de Geoinform{\'a}tica, 16. (GEOINFO)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "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.",
conference-location = "Campos do Jord{\~a}o",
conference-year = "27 nov. a 02 dez. 2015",
issn = "2179-4820",
language = "en",
ibi = "8JMKD3MGPDW34P/3KP2SDL",
url = "http://urlib.net/ibi/8JMKD3MGPDW34P/3KP2SDL",
targetfile = "proceedings2015_p2.pdf",
urlaccessdate = "27 abr. 2024"
}