cris.boxmetadata.label.title
Building Dengue Sensors for Brazil Using a Social Network and Text Mining
cris.boxmetadata.label.dateissued
01 browse.startsWith.months.january 2019
cris.boxmetadata.label.accesslevel
metadata only access
cris.boxmetadata.label.resourcetype
conference paper
cris.boxmetadata.label.authors
University of São Paulo
cris.boxmetadata.label.publisher
Springer
cris.boxmetadata.label.abstract
The increasing use of Social Networks to share personal information has opened many resources to analyze the behaviour of one city, state or country. Topics related to politics, science, health alarms and others are shared by users everyday to monitor an prevent events. Natural Language Processing is the tool to analyze this text and get some insight using Machine Learning Techniques. In this work, Twitter is analyzed to detect social events because users are considered sensors. The analysis is performed over Brazilian tweets to detect dengue. The results show the utility of the proposal to recognize dengue epidemics in the Brazilian territory.
cris.boxmetadata.label.citationstartpage
69
cris.boxmetadata.label.citationendpage
77
cris.boxmetadata.label.volume
1096 CCIS
cris.boxmetadata.label.ocdeknowledgeArea
Epidemiología Ciencias de la computación Ingeniería de sistemas y comunicaciones
cris.boxmetadata.label.doi
cris.boxmetadata.label.scopusidentifier
2-s2.0-85078399819
cris.boxmetadata.label.containerissn
18650929
cris.boxmetadata.label.containerisbn
978-303036210-2
cris.boxmetadata.label.conference
Communications in Computer and Information Science - 2nd IEEE Colombian Conference on Applications in Computational Intelligence, ColCACI 2019
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