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Text mining methods for measuring the coherence of party manifestos for the German federal elections from 1990 to 2021

Text mining is an active field of statistical research. In this paper we use two methods from text mining: the Poisson Reduced Rank Model (PRR, see Jentsch et al. 2020; Jentsch et al. 2021) and the Latent Dirichlet Allocation model (LDA, see Blei et al. 2003) for the statistical analysis of party ma...

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Bibliographische Detailangaben
Hauptverfasser: Jentsch, Carsten (VerfasserIn) , Mammen, Enno (VerfasserIn) , Müller, Henrik (VerfasserIn) , Rieger, Jonas (VerfasserIn) , Schötz, Christof (VerfasserIn)
Dokumenttyp: Book/Monograph Arbeitspapier
Sprache:Englisch
Veröffentlicht: [Dortmund] Dortmund Center for Data-Based Media Analysis [2021]
Schriftenreihe:DoCMA working paper # 8 (September 2021)
In: DoCMA working paper (# 8 (September 2021))

DOI:10.17877/de290r-22363
Schlagworte:
Graue Literatur
Online-Zugang:Verlag, kostenfrei: https://eldorado.tu-dortmund.de/bitstream/2003/40491/2/wp8.pdf
Resolving-System, kostenfrei: https://doi.org/10.17877/de290r-22363
Resolving-System, kostenfrei: http://hdl.handle.net/2003/40491
Resolving-System, kostenfrei: http://hdl.handle.net/10419/242487
Resolving-System: https://nbn-resolving.org/urn:nbn:de:101:1-2021091703421437317976
Langzeitarchivierung Nationalbibliothek: https://d-nb.info/1241330875/34
Volltext
Verfasserangaben:Carsten Jentsch, Enno Mammen, Henrik Müller, Jonas Rieger and Christof Schötz

MARC

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