GitHub / rsuwaileh / IDRISI

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.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rsuwaileh%2FIDRISI

Commit Stats

Commits: 127
Authors: 3
Mean commits per author: 42.33
Development Distribution Score: 0.244
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/rsuwaileh/IDRISI

Topics: dataset, disaster, disaster-management, disaster-relief, disaster-tweets, geolocation, geoocoding, geoparsing, location-disambiguation, location-recognition, twitter

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