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

dc.contributor.author	Jentsch, Carsten
dc.contributor.author	Mammen, Enno
dc.contributor.author	Müller, Henrik
dc.contributor.author	Rieger, Jonas
dc.contributor.author	Schötz, Christof
dc.date.accessioned	2021-09-14T11:45:51Z
dc.date.available	2021-09-14T11:45:51Z
dc.date.issued	2021-09-14
dc.identifier.uri	http://hdl.handle.net/2003/40491
dc.identifier.uri	https://doi.org/10.17877/de290r-22363
dc.language.iso	en	de
dc.relation.ispartofseries	DoCMA Working Paper;8	en
dc.subject	Poisson reduced-rank models	en
dc.subject	latent Dirichlet allocation	en
dc.subject	CDU	de
dc.subject	CSU	de
dc.subject	union	en
dc.subject	SPD	de
dc.subject	Grüne	de
dc.subject	FDP	de
dc.subject	Linke	de
dc.subject	Kenia	de
dc.subject	Jamaica	en
dc.subject	Ampel	de
dc.subject	Deutschland	de
dc.subject	R2G	de
dc.subject	coalition	en
dc.subject.ddc	004
dc.subject.ddc	070
dc.subject.ddc	310
dc.title	Text mining methods for measuring the coherence of party manifestos for the German federal elections from 1990 to 2021	de
dc.type	Text	de
dc.type.publicationtype	workingPaper	de
dcterms.accessRights	open access
eldorado.secondarypublication	false	de

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