@InProceedings{AndradeDegResDelAlb:2018:DoKeNo,
author = "Andrade, Sidgley C. de and Degrossi, Livia Castro and
Restrepo-Estrada, Camilo and Delbem, Alexandre C. B. and
Albuquerque, Jo{\~a}o Porto de",
affiliation = "{Universidade Tecnologia Federal do Paran{\'a} (UTFPR)} and
{Universidade de S{\~a}o Paulo (USP)} and {University of
Antioquia} and {Universidade de S{\~a}o Paulo (USP)} and
{University of Warwick}",
title = "Does keyword noise change over space and time? a case study of
social media messages",
year = "2018",
editor = "Vinhas, L{\'u}bia (INPE) and Campelo, Claudio (UFCG)",
pages = "116--121",
organization = "Simp{\'o}sio Brasileiro de Geoinform{\'a}tica, 19. (GEOINFO)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "Social media is a valuable source of information for different do-
mains, since users share their opinion and knowledge in (near)
real-time. More- over, users usually use different words to refer
to a particular event (e.g., a rain event). These words may be
later employed to filter social media messages re- garding new
occurrences of the event and, thus, to reduce the number of unre-
lated messages. These words, however, may have different meanings
and, thus, may not reduce the number of messages. In this work, we
conduct a case study to measure which rain- or flood-related
keywords are less relevant to reduce the number of unrelated
messages. The results show that the keywords change over space,
due to local language/culture, and time, specially in different
time scales.",
conference-location = "Campina Grande",
conference-year = "05-07 dez. 2018",
issn = "2179-4847",
language = "pt",
ibi = "8JMKD3MGPDW34P/3SEURDB",
url = "http://urlib.net/ibi/8JMKD3MGPDW34P/3SEURDB",
targetfile = "p11.pdf",
urlaccessdate = "28 abr. 2024"
}