Title
Building Dengue Sensors for Brazil Using a Social Network and Text Mining
Date Issued
01 January 2019
Access level
metadata only access
Resource Type
conference paper
Author(s)
University of São Paulo
Publisher(s)
Springer
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.
Start page
69
End page
77
Volume
1096 CCIS
OCDE Knowledge area
Ingeniería de sistemas y comunicaciones Ciencias de la computación Epidemiología
Scopus EID
2-s2.0-85078399819
ISSN of the container
18650929
ISBN of the container
978-303036210-2
Conference
Communications in Computer and Information Science - 2nd IEEE Colombian Conference on Applications in Computational Intelligence, ColCACI 2019
Sources of information: Directorio de Producción Científica Scopus