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Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Conference object . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Conference object . 2026
License: CC BY
Data sources: Datacite
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Politische Texte zum Thema Klimawandel automatisch identifizieren: Ein XGBoost Modell

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 20 Feb 2026Publisher:Zenodo
Authors: Memminger, Ronja; Benndorf, Dietmar; Stede, Manfred;

doi: 10.5281/zenodo.18702848 , 10.5281/zenodo.18999458 , 10.5281/zenodo.18702849 , 10.5281/zenodo.18999459

Politische Texte zum Thema Klimawandel automatisch identifizieren: Ein XGBoost Modell

Abstract

Wir präsentieren einen Klassifikator zur automatischen Filterung von deutschen Texten, die das Thema Klimawandel ansprechen. Für das Englische existiert ein solches Modell bereits mit ClimateBERT (Webersinke et al., 2022), uns ist jedoch kein solches Tool für deutschsprachige Texte bekannt. Der Klassifikator wurde auf Texten von offziellen Organen der deutschen Partei AfD trainiert und wir zeigen, dass er auch parteiübergreifend das Thema zuverlässig erfasst. Der Klassifikator wird demnächst öffentlich gemacht, um Forschende bei der thematischen Textfilterung zu unterstützen.

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Keywords

Paper, DHd2026, politische texte, textklassifikation, Poster, klimawandel, Data-Recognition, Annotating, Text

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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