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2019 | OriginalPaper | Chapter

Building Dengue Sensors for Brazil Using a Social Network and Text Mining

Author : Josimar Edinson Chire Saire

Published in: Applications of Computational Intelligence

Publisher: Springer International Publishing

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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.

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Footnotes
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Metadata
Title
Building Dengue Sensors for Brazil Using a Social Network and Text Mining
Author
Josimar Edinson Chire Saire
Copyright Year
2019
Book
Applications of Computational Intelligence

Print ISBN: 978-3-030-36210-2

Electronic ISBN: 978-3-030-36211-9

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-36211-9_6

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