IDRISI is the largest-scale publicly-available Twitter Location Mention Prediction (LMP) datasets, in both English and Arabic languages. It contains 41 disaster events of different types (e.g., floods, fires). Annotations include tagged LMs in posts, location types (e.g., cities, streets), links to OSM toponyms, & usefulness of features for LMD.
twitter
geoparsing
geolocation
disaster
dataset
disaster-management
disaster-relief
disaster-tweets
location-recognition
location-disambiguation
geoocoding
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Updated
Jan 23, 2024 - Jupyter Notebook