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In this study, we propose a geolocation method based on named entities that are present in user tweets. We try to predict the US states where Twitter users reside in. We present a base method, compare it with a common approach in literature, and also examine some design decisions about our method.

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Name		Name	Last commit message	Last commit date
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EBUG.ipynb		EBUG.ipynb
MI_10000.pkl		MI_10000.pkl
README.md		README.md
Twitter_Geolocation.pdf		Twitter_Geolocation.pdf
uscities.csv		uscities.csv

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EBUG: Entity-Based User Geolocation on Twitter

Steps in the proposed geolocation method

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In this study, we propose a geolocation method based on named entities that are present in user tweets. We try to predict the US states where Twitter users reside in. We present a base method, compare it with a common approach in literature, and also examine some design decisions about our method.

wikipedia-api mutual-information countvectorizer nominatim-api networkx-graph mordecai tweet-preprocessing geo-tagged-microblog-corpus

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