Integrating Social Media into a Pan-European Flood Awareness System: A Multilingual Approach
April 24, 2019 Β· Declared Dead Β· π International Conference on Information Systems for Crisis Response and Management
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Authors
V. Lorini, C. Castillo, F. Dottori, M. Kalas, D. Nappo, P. Salamon
arXiv ID
1904.10876
Category
cs.IR: Information Retrieval
Cross-listed
cs.AI,
cs.CL
Citations
27
Venue
International Conference on Information Systems for Crisis Response and Management
Last Checked
4 months ago
Abstract
This paper describes a prototype system that integrates social media analysis into the European Flood Awareness System (EFAS). This integration allows the collection of social media data to be automatically triggered by flood risk warnings determined by a hydro-meteorological model. Then, we adopt a multi-lingual approach to find flood-related messages by employing two state-of-the-art methodologies: language-agnostic word embeddings and language-aligned word embeddings. Both approaches can be used to bootstrap a classifier of social media messages for a new language with little or no labeled data. Finally, we describe a method for selecting relevant and representative messages and displaying them back in the interface of EFAS.
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