@InCollection{VasconcelosSantFiguFerr:2016:UsTwRa,
author = "Vasconcelos, Luiz Eduardo Guarino de and Santos, Eder C. M. and
Figueiredo Neto, M{\'a}rio Lemes de and Ferreira, Nelson Jesus",
title = "Using Tweets for Rainfall Monitoring",
booktitle = "Advances in Intelligent Systems and Computing",
publisher = "Springer International Publishing",
year = "2016",
editor = "Lafiti, Shahram",
pages = "1157--1167",
note = "International Conference on Information Technology, 13",
keywords = "Twitter, Hashtags, Geolocation, Social media analysis.",
abstract = "In Brazil, the summer season is the wettest period in which many
disasters can happen, such as landslides and floods. In recent
years, even with the rainy season, the metropolitan region of
S{\~a}o Paulo (Brazil) suffers a severe water crisis. Given this
scenario, monitoring of rainfall is fundamental for taking
preventive actions and planning in the various business branches.
Thus, the use of computers to develop tools that assist the
rainfall monitoring can help extend the coverage of the existing
solutions. Moreover, it is known that, every day, the number of
social media users is increasing, and consequently increases the
amount of content published in these medias. The objective of this
study is to analyze the contents of the Twitter social media,
especially the tweets related to rainfall events in order to
determine whether this information can contribute to the
monitoring of rainfall events in Brazil. More than 1 million
tweets published in Brazil related to rainfall were collected in a
period of 30 days. Gathered tweets were analyzed and evaluated
taking into account the data collected by automatic weather
stations (AWS or EMA). The results were satisfactory and indicate
a relationship between the geolocated tweets and data from AWS.",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {} and
{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)}",
doi = "10.1007/978-3-319-32467-8_100",
url = "http://dx.doi.org/10.1007/978-3-319-32467-8_100",
isbn = "9783319324661",
label = "lattes: 8626122636195184 5 VasconcelosSanNetFerVas:2016:UsTwRa",
language = "pt",
seriestitle = "Advances in Intelligent Systems and Computing",
url = "http://link.springer.com/10.1007/978-3-319-32467-8_100",
volume = "448",
urlaccessdate = "28 abr. 2024"
}