Geospatial Text Classification
Geospatial Text Classification is a computational method within Geospatial Natural Language Processing that categorizes textual data into predefined classes based on the spatial characteristics and geographic context of the information extracted from the text.
38
Publications
1.8K
Citations
137
Authors
62
Institutions
Publications per year
2017–2026
19
38
Text-Based Twitter User Geolocation Prediction
Bo Han, Paul Cook, Tim Baldwin · Journal of Artificial Intelligence Research · 2014 · 309 citations · Full text
Computing, Geography, Geoinformatics +17
The geography of Twitter topics in London
Guy Lansley, Paul Longley · Computers Environment and Urban Systems · 2016 · 208 citations · Full text
Abeed Sarker, Graciela Gonzalez‐Hernandez, Yucheng Ruan et al. · JAMA Network Open · 2019 · 115 citations · Full text
1–5 of 38
137
2
h-index
2
h-index
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR), Germany
2 publications · 55 citations
2
h-index
1
h-index
1 publications · 13 citations
1
h-index
1–5 of 137
62
Technical University of Munich
Munich, Germany
2 h-index
5 publications
140 citations

The University of Melbourne
Melbourne, Australia
2 h-index
5 publications
1K citations
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
Cologne, Germany
2 h-index
4 publications
110 citations
University of Zurich
Zurich, Switzerland
2 h-index
3 publications
69 citations

Telkom University
Bandung, Indonesia
2 h-index
6 publications
136 citations
University of Sheffield
Sheffield, United Kingdom
2 h-index
2 publications
73 citations
Emory University
Atlanta, United States
1 h-index
1 publications
115 citations
Stanford University
Stanford, United States
1 h-index
4 publications
64 citations
1–8 of 62
3 publications · 119 citations
3
h-index
2 publications · 37 citations
2
h-index
2 publications · 52 citations
2
h-index
Conference · 2 publications · 65 citations
2
h-index
2 publications · 224 citations
2
h-index
1–5