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

Authors

137

  1. RS
    Ross S. Purves

    University of Zurich, Switzerland

    2 publications · 59 citations

    2

    h-index

  2. XX
    Xiao Xiang Zhu

    Technical University of Munich, Germany

    2 publications · 55 citations

    2

    h-index

  3. MH
    Matthias Häberle

    Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR), Germany

    2 publications · 55 citations

    2

    h-index

  4. SC
    Stefano Cirillo

    University of Salerno, Italy

    1 publications · 54 citations

    1

    h-index

  5. AV
    A. Vamsi Subhash

    1 publications · 13 citations

    1

    h-index

1–5 of 137

Venues

  1. IEEE Access

    3 publications · 119 citations

    3

    h-index

  2. Transactions in GIS

    2 publications · 37 citations

    2

    h-index

  3. 2

    h-index

  4. International Conference on Computational Linguistics

    Conference · 2 publications · 65 citations

    2

    h-index

  5. Computers Environment and Urban Systems

    2 publications · 224 citations

    2

    h-index

1–5