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Titel:

Information-optimal Abstaining for Reliable Classification of Building Functions

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Dax, Gabriel; Werner, Martin
Abstract:
In the past decade, major breakthroughs in sensor technology and algorithms have enabled the functional analysis of urban regions based on Earth observation data. It has, for example, become possible to assign functions to areas in cities on a regional scale. With this paper, we develop a novel method for extracting building functions from social media text alone. Therefore, a technique of abstaining is applied in order to overcome the fact that most tweets will not contain information related t...     »
Stichworte:
Probabilistic Classification, Social Media Text Mining, Land Use, Urban Analysis, Building Functions
Zeitschriftentitel:
AGILE: GIScience Series
Jahr:
2021
Band / Volume:
2
Seitenangaben Beitrag:
1-10
Volltext / DOI:
doi:10.5194/agile-giss-2-1-2021
E-ISSN:
2700-8150
Publikationsdatum:
04.06.2021
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