A Visual Analytics Pipeline for the Identification and Exploration of Extreme Weather Events from Social Media Data

A Visual Analytics Pipeline for the Identification and Exploration of Extreme Weather Events from Social Media Data

Extreme weather events are expected to increase in frequency and intensity due to global warming. During disaster events, up-to-date relevant information is crucial for early detection and response. Recently, Twitter emerged as a potentially important source of volunteered geographic information of...

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Bibliographic Details
Main Authors: Lise Styve, Carlo Navarra, Julie Maria Petersen, Tina-Simone Neset, Katerina Vrotsou
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Climate
Subjects:
visual analytics
machine learning
text classification
NLP
social media
extreme weather events
Online Access:https://www.mdpi.com/2225-1154/10/11/174

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https://www.mdpi.com/2225-1154/10/11/174

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