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Erschienen in:
Virtual Learning Environments for Promoting Self Transformation: Iterative Design and Implementation of Philadelphia Land Science Kapitel lesen Erstes Kapitel lesen

2018 | OriginalPaper | Buchkapitel

The Next Generation of Disaster Management and Relief Planning: Immersive Analytics Based Approach

verfasst von : Radhia Toujani, Yasmin Chaabani, Zeineb Dhouioui, Hanen Bouali

Erschienen in: Immersive Learning Research Network

Verlag: Springer International Publishing

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Abstract

Managing the risks of natural disasters can be enhanced by exploring social data. The need to swiftly extract meaningful information from large amounts of data generated by social network is on the rise especially to deal with natural disasters. New methods are needed to deeply support immersive social data analytics. Moreover, big data analysis seems to be able to improve accurate decisions to disaster management systems. The aim of this research is to determine critical cases and to focus on immersive sentiment analysis for big social data using Hadoop platform and machine learning technique. In one hand, we use MapReduce for the introduced data processing step. In the other hand, we apply support vector machine algorithm for the sentiment classification. We evaluate the performance of the performed classification method using the standard classification performance metrics accuracy, precision, recall, and F-measure and Microsoft Power BI as a visualization tool.

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Vorheriges Kapitel An Immersive System for 3D Floods Visualization and Analysis
Nächstes Kapitel The Making and Evaluation of Picts and Pixels: Mixed Exhibiting in the Real and the Unreal
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Metadaten
Titel
The Next Generation of Disaster Management and Relief Planning: Immersive Analytics Based Approach
verfasst von
Radhia Toujani
Yasmin Chaabani
Zeineb Dhouioui
Hanen Bouali
Copyright-Jahr
2018
Buch
Immersive Learning Research Network

Print ISBN: 978-3-319-93595-9

Electronic ISBN: 978-3-319-93596-6

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-319-93596-6_6

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