Detecting environmentally-related problems on Twitter

Social media networks such as Facebook and Twitter can be used as a valuable tool to report on environmentally-related problems, e.g. landslides or wildfires, that are about to occur or have just occurred, so that response actions can be promptly executed. The goal of this article is to describe a k...

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Bibliographic Details
Published in:Biosystems engineering 2019-01, Vol.177, p.31-48
Main Authors: Periñán-Pascual, Carlos, Arcas-Túnez, Francisco
Format: Article
Language:English
Subjects:
Problem detection
Sentiment analysis
Social sensor
Topic categorisation
Twitter
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Summary:Social media networks such as Facebook and Twitter can be used as a valuable tool to report on environmentally-related problems, e.g. landslides or wildfires, that are about to occur or have just occurred, so that response actions can be promptly executed. The goal of this article is to describe a knowledge-based system that is able to analyse tweets in Spanish to detect a variety of such problems. This research resulted in the implementation of CASPER, a proof-of-concept workbench where multi-domain problem detection has been devised as a two-fold task: topic categorisation and sentiment analysis. •Analysing Spanish tweets to detect environmentally-related problems.•Computing a problem-relatedness perception index for decision makers.•Designing a knowledge-based model for multi-label classification.•Implementing an exploratory workbench for discovering optimal settings.
ISSN:1537-5110
1537-5129
DOI:10.1016/j.biosystemseng.2018.10.001