Extracting localized information from a Twitter corpus for flood prevention
March 12, 2019 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Etienne Brangbour, Pierrick Bruneau, StΓ©phane Marchand-Maillet, Renaud Hostache, Patrick Matgen, Marco Chini, Thomas Tamisier
arXiv ID
1903.04748
Category
cs.IR: Information Retrieval
Cross-listed
cs.SI
Citations
4
Venue
arXiv.org
Last Checked
4 months ago
Abstract
In this paper, we discuss the collection of a corpus associated to tropical storm Harvey, as well as its analysis from both spatial and topical perspectives. From the spatial perspective, our goal here is to get a first estimation of the quality and precision of the geographical information featured in the collected corpus. From a topical perspective, we discuss the representation of Twitter posts, and strategies to process an initially unlabeled corpus of tweets.
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