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Title:

Information-optimal Abstaining for Reliable Classification of Building Functions

Document type:
Zeitschriftenaufsatz
Author(s):
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...     »
Keywords:
Probabilistic Classification, Social Media Text Mining, Land Use, Urban Analysis, Building Functions
Journal title:
AGILE: GIScience Series
Year:
2021
Journal volume:
2
Pages contribution:
1-10
Fulltext / DOI:
doi:10.5194/agile-giss-2-1-2021
E-ISSN:
2700-8150
Date of publication:
04.06.2021
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