Extracting localized information from a Twitter corpus for flood prevention

March 12, 2019 Β· Declared Dead Β· πŸ› arXiv.org

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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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